![Michael Packianather](https://profiles-cardiff.imgix.net/attachments/3623?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Overview
Dr. Michael S Packianather received his BSc(Hons) in Electrical and Electronic Engineering and MSc and PhD in Artificial Intelligence from the University of Wales Cardiff in 1991, 1993 and 1997 respectively. From February 1997 to 2001 he worked as a Research Associate at Cardiff School of Engineering before becoming a lecturer. He was promoted to the position of Senior Lecturer in 2011. He is serving as the PGR Tutor for Mechanical, Medical and Manufacturing Engineering. His research interests include: - Industry 4.0, Data Mining and Machine Learning, Deep Neural Networks and AI, Robotics and Human-Robot Collaboration, and Intelligent Optimisation.
The research projects he worked on from 2014-2019 includes the KTP project with Brick Fabrication in Pontypool involving modelling and optimising their manufacturing process using Discrete Event Simulation method and Data Mining for capacity building and forward planning. He also worked on developing a patient flow model for the Emergency Department in the Teaching Hospital in Cardiff for dealing with delays and surges by applying tools and techniques associated with Manufacturing Processes. Currently, he is involved in the H2020 project in the area of smart manufacturing.
Further, in the past five years he has successfully collaborated with Vietnamese Universities and Indian Universities in the area of Advanced Manufacturing Technologies funded by the British Council’s Newton Fund, Newton Bhabha Fund, and Higher Education Partnership Programme.
He is a Full Member of the EPSRC College, an Expert Reviewer for European Commission FET PROACT Research Programme, and an Expert Reviewer for SMART4.0 Programme. He is an Associate Editor of the IEEE Systems Engineering Journal and IMechE Proceedings Part I.
He was an invited speaker at the Digital Festival in Cardiff in 2018, Smart Home Expo in Birmingham in 2019, and ACMA Technology Summit & Expo in Pune, India in 2019.
In 2015 he started a new MSc Programme called Manufacturing Engineering, Innovation and Management, a joint venture between the School of Engineering and the Business School.
Publication
2024
- Suliman, F., Anayi, F. and Packianather, M. 2024. Electrical faults analysis and detection in photovoltaic arrays based on machine learning classifiers. Sustainability 16(3), article number: 1102. (10.3390/su16031102)
- Hejazi, S. Z., Packianather, M. and Liu, Y. 2024. A novel customised load adaptive framework for induction motor fault classification utilising MFPT bearing dataset. Machines 12(1), article number: 44. (10.3390/machines12010044)
2023
- Pham, T. C., Nguyen, V. D., Le, C. H., Packianather, M. and Hoang, V. 2023. Artificial intelligence-based solutions for coffee leaf disease classification. Presented at: International Conference on Marine Sustainable Development and Innovation (MSDI 2023), Nha Trang, Vietnam, 21-23 July 2023, Vol. 1278. IOP Publishing pp. 12004., (10.1088/1755-1315/1278/1/012004)
- Hejazi, S., Packianather, M. and Liu, Y. 2023. A Novel approach using WGAN-GP and conditional WGAN-GP for generating artificial thermal images of induction motor faults. Presented at: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), 06-08 September 2023, Vol. 225. Elsevier pp. 3681-3691., (10.1016/j.procs.2023.10.363)
- Wan, Y., Chen, Z., Liu, Y., Packianather, M. and Wang, R. 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 20232023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1-6., (10.1109/CASE56687.2023.10260566)
- Vu, M. D. et al. 2023. Prediction of the welding process parameters and the weld bead geometry for robotic welding applications with adaptive neuro-fuzzy models. Presented at: The International Conference on Intelligent Systems & Networks, 18-19 March 2023 Presented at Nguyen, T. et al. eds., Vol. 752. Lecture Notes in Networks and Systems Singapore: Springer pp. 148-158., (10.1007/978-981-99-4725-6_20)
- Chu, A. M. et al. 2023. A framework for practically effective creation of postprocessors for 5-axis CNC machines with all possible configurations and working mechanisms. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (10.1177/09544054231179314)
- Mohamed, M., Abdul Samad, B., Anayi, F., Packianather, M. and Yahya, K. 2023. Analysing various control technics for manipulator robotic system (Robogymnast). Computers, Materials & Continua 75(3), pp. 4681-4696. (10.32604/cmc.2023.035312)
- Abdusalam, O., Anayi, F. and Packianather, M. 2023. Three-phase power transformer fault diagnosis based on support vector machines and bees algorithm. Presented at: 3rd International Conference in Power Engineering Applications (ICPEA), Putrajaya, Malaysia, 6-7 March 2023Proceedings of 3rd International Conference in Power Engineering Applications. IEEE pp. 145-150., (10.1109/ICPEA56918.2023.10093147)
- Alghamdi, T. A., Abdusalam, O. T., Anayi, F. and Packianather, M. 2023. An artificial neural network based harmonic distortions estimator for grid- connected power converter-based applications. Ain Shams Engineering Journal 14(4), article number: 101916. (10.1016/j.asej.2022.101916)
- Nguyen, V. D., Pham, T. C., Le, C. H., Huynh, T. T., Le, T. H. and Packianather, M. 2023. An innovative and smart agriculture platform for improving the coffee value chain and supply chain. In: Nguyen, T. and Lu, J. eds. Machine Learning and Mechanics Based Soft Computing Applications., Vol. 1068. Studies in Computational Intelligence Springer, pp. 185-197., (10.1007/978-981-19-6450-3_19)
- Alamri, N. M., Packianather, M. and Bigot, S. 2023. Optimizing the parameters of long short-term memory networks using the bees algorithm. Applied Sciences 13(4), article number: 2536. (10.3390/app13042536)
- Alexopoulos, T., Marsh, J., Llewellyn, G. and Packianather, M. 2023. An adaptive water consumption monitoring and conservation system. In: Scholz, S. G., Howlett, R. J. and Setchi, R. eds. Sustainable Design and Manufacturing Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022)., Vol. 338. Smart Innovation, Systems and Technologies, pp. 191-200., (10.1007/978-981-19-9205-6_18)
2022
- Alamri, N. M. H., Packianather, M. and Bigot, S. 2022. Optimization of convolutional neural network topology and training parameters using Bees Algorithm. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE pp. 1-6., (10.1109/iSSSC56467.2022.10051487)
- Hejazi, S., Packianather, M. and Liu, Y. 2022. Novel preprocessing of multimodal condition monitoring data for classifying induction motor faults using deep learning methods. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE pp. 1-6., (10.1109/iSSSC56467.2022.10051321)
- Alamri, N. M. H., Packianather, M. and Bigot, S. 2022. Predicting the porosity in selective laser melting parts using hybrid regression convolutional neural network. Applied Sciences 12(24), article number: 12571. (10.3390/app122412571)
- Abdusalam, O., Anayi, F. and Packianather, M. 2022. Discrimination between internal current and external fault in three phase power transformer by Using alienation coefficient. Presented at: 2022 57th International Universities Power Engineering Conference (UPEC), Istanbul, Turkey, 30 Aug 22 - 02 Sept 222022 57th International Universities Power Engineering Conference (UPEC). IEEE, (10.1109/UPEC55022.2022.9917688)
- Elgbaily, M., Anayi, F. and Packianather, M. 2022. Genetic and particle swarm optimization algorithms based direct torque control for torque ripple attenuation of induction motor. Materials Today: Proceedings 67(4), pp. 577-590. (10.1016/j.matpr.2022.08.293)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. New Transfer Learning Approach Based on a CNN for Fault Diagnosis. Presented at: 1st International Electronic Conference on Machines and Applications, 15–30 September 2022, Online, 15-30 September 2022The 1st International Electronic Conference on Machines and Applications. Vol. 16. MDPI, (10.3390/IECMA2022-12905)
- Egbe, U., Le, C. H., Gao, J., Chu, A. M., Packianather, M. and Zlatov, N. 2022. A case-based reasoning based framework for developing computer aided remanufacturing process planning systems. Presented at: International Conference on Reliable Systems Engineering (ICoRSE) - 2022, 8-9 September 2022 Presented at Cioboată, D. ed.International Conference on Reliable Systems Engineering (ICoRSE) - 2022. ICoRSE 2022, Vol. 534. Springer pp. 305-311., (10.1007/978-3-031-15944-2_28)
- Rayamane, P., Ji, Z. and Packianather, M. 2022. Design and development of a robust vision-based tactile sensor. Presented at: 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Sapporo, Japan, 11-15 July 20222022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, (10.1109/AIM52237.2022.9863285)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. Detection of three-phase induction motor faults using deep network-based transfer learning techniques. Presented at: IM IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), 23-25 May 20222022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE pp. 133-138., (10.1109/MI-STA54861.2022.9837619)
- Altayef, E., Anayi, F. and Packianather, M. 2022. A new enhancement of the k-NN algorithm by Using an optimization technique. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 24-31., (10.1109/ICACITE53722.2022.9823537)
- Altayef, E., Anayi, F. and Packianather, M. 2022. Power transformer fault detection methods and effects of edge burrs fault: a review. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 5-18., (10.1109/ICACITE53722.2022.9823815)
- Altayef, E., Anayi, F. and Packianather, M. 2022. Experimental investigation on impacts of insulation damage fault between laminations of power transformers. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 19-23., (10.1109/ICACITE53722.2022.9823834)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. New machine learning model-based fault diagnosis of induction motors using thermal images. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 58-62., (10.1109/ICACITE53722.2022.9823832)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. Novel deep network-based transfer learning approach for fault detection of three-phase induction motor. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 655-659., (10.1109/ICACITE53722.2022.9823821)
- Suliman, F., Anayi, F. and Packianather, M. 2022. Bees-algorithm for parameters identification of PV Models. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 2219-2223., (10.1109/ICACITE53722.2022.9823446)
- Mohamed, M., Anayi, F., Packianather, M., Samad, B. A. and Yahya, K. 2022. Simulating LQR and PID controllers to stabilise a three-link robotic system. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 28-29 April 20222022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, (10.1109/ICACITE53722.2022.9823512)
- Elgbaily, M., Anayi, F. and Packianather, M. 2022. Performance improvement based torque ripple minimization for direct torque control drive fed induction motor using fuzzy logic control. Presented at: 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022, Online, 30-31 Mar 2022 Presented at Wahab, N. A. and Zaharuddin, M. eds.Instrumentation and Mechatronics: Theory and Practice [Conference Proceedings], Vol. 921. Lecture Notes in Electrical Engineering Springer Science Business Media pp. 416–428., (10.1007/978-981-19-3923-5_36)
- Alghamdi, T. A. H., Anayi, F. and Packianather, M. 2022. Modelling and control development of a cascaded NPC-based MVDC converter for harmonic analysis studies in power distribution networks. Energies 15(13), article number: 4867. (10.3390/en15134867)
- Abdusalam, O., Ibrahim, A., Anayi, F. and Packianather, M. 2022. New hybrid machine learning method for detecting faults in three-phase power transformers. Energies 15(11), article number: e3905. (10.3390/en15113905)
- Altayef, E., Anayi, F., Packianather, M., Benmahamed, Y. and Kherif, O. 2022. Detection and classification of lamination faults in A 15 kVA three-phase transformer core using SVM, KNN and DT algorithms. IEEE Access 10, pp. 50925-50932. (10.1109/ACCESS.2022.3174359)
- Alghamdi, T. A. H., Anayi, F. and Packianather, M. 2022. Optimal design of passive power filters using the MRFO algorithm and a practical harmonic analysis approach including uncertainties in distribution networks. Energies 15(7), article number: 2566. (10.3390/en15072566)
- Wan, Y., Chen, Z., Hu, F., Liu, Y., Packianather, M. and Wang, R. 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200 pp. 1174-1183., (10.1016/j.procs.2022.01.317)
- Ibrahim, A., Anayi, F., Packianather, M. and Alomari, O. A. 2022. New hybrid invasive weed optimization and machine learning approach for fault detection. Energies 15(4), article number: 1488. (10.3390/en15041488)
- Shouran, M., Anayi, F., Packianather, M. and Habil, M. 2022. Different fuzzy control configurations tuned by the Bees Algorithm for LFC of two-area power system. Energies 15(2), article number: 657. (10.3390/en15020657)
- Chu, A. M., Nguyen, C. D., Duong, X. B., Nguyen, A. V., Nguyen, T. A., Le, C. H. and Packianather, M. 2022. A novel mathematical approach for finite element formulation of flexible robot dynamics. Mechanics Based Design of Structures and Machines 50(11), pp. 3747-3767. (10.1080/15397734.2020.1820874)
- Shouran, M., Anayi, F. and Packianather, M. 2022. Design of sliding mode control optimised by the Bees algorithm for LFC in the Great Britain power system. Materials Today: Proceedings 52(3), pp. 937-945. (10.1016/j.matpr.2021.10.322)
- Alamri, N. M., Packianather, M. and Bigot, S. 2022. Deep learning: parameter optimization using proposed novel hybrid bees Bayesian convolutional neural network. Applied Artificial Intelligence 36(1), article number: 2031815. (10.1080/08839514.2022.2031815)
- Altayef, E., Anayi, F., Packianather, M. S. and Kherif, O. 2022. On the effects of lamination artificial faults in A 15 kVA three-phase transformer core. IEEE Access 10, pp. 19348-19355. (10.1109/ACCESS.2022.3151367)
2021
- Shouran, M., Anayi, F. and Packianather, M. 2021. Fuzzy PID with filtered derivative mode based load frequency control of two-area power system. Presented at: 2021 56th International Universities Power Engineering Conference (UPEC), Middlesbrough, United Kingdom, 31 August -3 September 2021Proceedings 56th International Universities Power Engineering Conference (UPEC). IEEE, (10.1109/UPEC50034.2021.9548233)
- Ibrahim, A., Anayi, F., Packianather, M. and Al-Omari, O. 2021. Novel hybrid invasive weed optimization and machine learning approach for fault detection. Presented at: 2021 56th International Universities Power Engineering Conference (UPEC), Middlesbrough, United Kingdom, 31 August -3 September 20212021 56th International Universities Power Engineering Conference (UPEC). IEEE, (10.1109/UPEC50034.2021.9548171)
- Shouran, M., Anayi, F. and Packianather, M. 2021. The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System. Energies 14(18), article number: 5701. (10.3390/en14185701)
- Shouran, M., Anayi, F., Packianather, M. and Habil, M. 2021. Load frequency control based on the Bees Algorithm for the Great Britain power system. Designs 5(3), article number: 50. (10.3390/designs5030050)
- Shouran, M., Anayi, F. and Packianather, M. 2021. A state-of-the-art review on LFC strategies in conventional and modern power systems. Presented at: 1st International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 4-5 March 20212021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE pp. 268-277., (10.1109/ICACITE51222.2021.9404653)
- My, C. A. et al. 2021. A generalization approach for the kinematic modelling of the rotational axes of five-axis CNC centers. Presented at: International Conference on Material, Machines and Methods for Sustainable Development, Nha Trang, Vietnam, 12-15 Nov 2020 Presented at Banh, T. L. et al. eds.Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development. Lecture Notes in Mechanical Engineering book series (LNME) pp. 983-990., (10.1007/978-3-030-69610-8_130)
- My, C. A. et al. 2021. Real time inverse kinematics of five-axis CNC centers. Presented at: International Conference on Material, Machines and Methods for Sustainable Development, Nha Trang, Vietnam, 12-15 Nov 2020 Presented at Long, B. et al. eds.Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). Cham: Springer pp. 991-999., (10.1007/978-3-030-69610-8_131)
- Chen, Z., Liu, Y., Valera-Medina, A., Robinson, F. and Packianather, M. 2021. Multi-faceted modelling for strip breakage in cold rolling using machine learning. International Journal of Production Research 59(21), pp. 6347-6360. (10.1080/00207543.2020.1812753)
2020
- Nguyen, T., Mia, M., Dang, X., Le, C. and Packianather, M. S. 2020. Green machining for the dry milling process of stainless steel 304. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234(5), pp. 881-899. (10.1177/0954405419888126)
- Al-Musawi, A. K., Anayi, F. and Packianather, M. 2020. Three-phase induction motor fault detection based on thermal image segmentation. Infrared Physics and Technology 104, article number: 103140. (10.1016/j.infrared.2019.103140)
2019
- Duy Nguyen, V., Nguyen, T. T., Pham, T. T., Packianather, M. and Le, C. H. 2019. Molecular screening and genetic diversity analysis of anticancer Azurin-encoding and Azurin-like genes in human gut microbiome deduced through cultivation-dependent and cultivation-independent studies. International Microbiology 22(4), pp. 437-449. (10.1007/s10123-019-00070-8)
- Lorenz, C., Spaeth, A. B., Bleil De Souza, C. and Packianather, M. 2019. Artificial neural networks for parametric daylight design. Architectural Science Review 63(2), pp. 210-221. (10.1080/00038628.2019.1700901)
- Packianather, M. S., Munizaga, N. L., Zouwail, S. and Saunders, M. 2019. Development of soft computing tools and IoT for improving the performance assessment of analysers in a clinical laboratory. Presented at: 14th Annual Conference System of Systems Engineering (SoSE), Anchorage, USA, 19-22 May 20192019 14th Annual Conference System of Systems Engineering (SoSE). IEEE pp. 158., (10.1109/SYSOSE.2019.8753830)
- Packianather, M. S., Al-Musawi, A. K. and Anayi, F. 2019. Bee for mining (B4M) - a novel rule discovery method using the Bees algorithm with quality-weight and coverage-weight. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233(14), pp. 5101-5112. (10.1177/0954406219833719)
- Lorenz, C., Spaeth, A., Bleil De Souza, C. and Packianather, M. 2019. Machine learning in design exploration: An investigation of the sensitivities of ANN-based daylight predictions. Presented at: "Hello, Culture": Computer-Aided Architectural Design Futures 2019, Daejeon, South Korea, 26-28 June 2019.
- Lorenz, C., Packianather, M., Bleil De Souza, C., Spaeth, A. B. and Lorenz, T. I. 2019. Input feature selection and optimization for ANN models predicting daylight in buildings. Presented at: 26th International Workshop on Intelligent Computing in Engineering, Leuven, Belgium, 30 June - 3 July 2019. pp. -.
2018
- Pham, B. M. et al. 2018. Cost-effective solutions and tools for medical image processing and design of personalised cranioplasty implants. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T. V., Nguyen Le, T. A. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Singapore: Springer pp. 397-402., (10.1007/978-981-10-4361-1_67)
- Mai, A. T., Le, C. H., Phan, P. A., Le, H. Q., Le, T. and Packianather, M. S. 2018. Detection and monitoring of cancers with biosensors in Vietnam. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T. V., Nguyen Le, T. A. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Singapore: Springer pp. 687-691., (10.1007/978-981-10-4361-1_118)
- Le, C. H. et al. 2018. An integrated system and framework for development of medical applications and products based on medical imaging data. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T. V., Nguyen Le, T. A. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Cham: Springer pp. 363-368., (10.1007/978-981-10-4361-1_61)
- My, C. A., Le, C. H., Packianather, M. and Bohez, E. L. 2018. Novel robot arm design and implementation for hot forging press automation. International Journal of Production Research (10.1080/00207543.2018.1521026)
- Packianather, M. S., Soman, S., Davies, A. and White, J. 2018. Predictive maintenance in a manufacturing environment through FIT manufacturing and discrete event simulation. Presented at: 2018 World Automation Congress (WAC), Stevenson, WA, USA, 3-6 Jun 20182018 World Automation Congress. IEEE pp. 237-242., (10.23919/WAC.2018.8430400)
- Yi, L., Li, Z., Yang, L., Liu, J. and Packianather, M. 2018. Evaluation on the development degree of China's seven pilot carbon markets. Chinese Journal of Population Resources and Environment 16(1), pp. 28-35. (10.1080/10042857.2018.1433809)
- Packianather, M. S., Eaton, M., Papadopoulos, I. and Alexopoulos, T. 2018. Optimizing the number of acoustic emission sensors using the bees algorithm for detecting surface fractures. Procedia CIRP 67, pp. 362-367. (10.1016/j.procir.2017.12.227)
- Li, G., Packianather, M., He, C. and Liu, M. 2018. Research on risk fuzzy comprehensive evaluation for construction engineering projects based on AHM. Presented at: 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), NIngbo, China, 19-21 November 20172017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE pp. 605-608., (10.1109/ICCIS.2017.8274846)
- Lorenz, C., Packianather, M., Spaeth, A. and Bleil De Souza, C. 2018. Artificial neural network-based modelling for daylight evaluations. Presented at: SimAUD 2018, Delft, The Netherlands, 4-7 June 2018.
2017
- Yuce, B., Fruggiero, F., Packianather, M., Pham, D., Mastrocinque, E., Lambiase, A. and Fera, M. 2017. Hybrid genetic bees algorithm applied to single machine scheduling with earliness and tardiness penalties. Computers and Industrial Engineering 113, pp. 842-858. (10.1016/j.cie.2017.07.018)
- Nguyen, V. B., Le, C. H., Zhang, Z., Lee, R., Nguyen, T. A. and Packianather, M. S. 2017. Recent advances in experimental testing and computational modelling for characterisation of mechanical properties of biomaterials and biological cells. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T., Nguyen Le, T. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Cham: Springer pp. 655-660., (10.1007/978-981-10-4361-1_112)
- Ismail, H. A., Packianather, M. S. and Grosvenor, R. I. 2017. Multi-objective invasive weed optimization of the LQR controller. International Journal of Automation and Computing 14(3), pp. 321-339. (10.1007/s11633-017-1061-3)
- Packianather, M. S., Davies, A., Harraden, S., Soman, S. and White, J. 2017. Data mining techniques applied to a manufacturing SME. Procedia CIRP 62, pp. 123-128. (10.1016/j.procir.2016.06.120)
- Alexopoulos, T. and Packianather, M. 2017. A monitoring and data analysis system to achieve zero-defects manufacturing in highly regulated industries. Presented at: 4th International Conference on Sustainable Design and Manufacturing, Bologna, Italy, Apr 2017Sustainable Design and Manufacturing 2017, Vol. 68. Cham: Springer pp. 303-313., (10.1007/978-3-319-57078-5_30)
- Le, C. H., Kasmaji, W. W., Packianather, M., Mengistu, S., Tran, D. T. and Chu, A. M. 2017. Customer driven mass-customisation and innovative product development with parametric design & generative modeling. Presented at: 15th International Conference on Manufacturing Research, London, UK, 5-7 September 2017Advances in Manufacturing Technology XXXI, Vol. 6. Advances in Transdisciplinary Engineering London: IOS Press pp. 415 - 420., (10.3233/978-1-61499-792-4-415)
2016
- Packianather, M. S., Davies, A., AlZarooni, M. A., Soman, S. and White, J. 2016. Manufacturing process flow improvements using simulation and sustainable manufacturing. Presented at: 2016 World Automation Congress (WAC), 31 July-4 August 20162016 World Automation Congress (WAC). IEEE, (10.1109/WAC.2016.7582970)
- Martino, G., Yuce, B., Iannone, R. and Packianather, M. S. 2016. Optimisation of the replenishment problem in the fashion retail industry using Tabu-Bees algorithm. IFAC-PapersOnLine 49(12), pp. 1685-1690. (10.1016/j.ifacol.2016.07.823)
- Davies, A., Packianather, M., White, J. and Soman, S. 2016. Achieving sustainability in SME manufacturing operations via the use of flexible integrated technology and product symbiosis. Presented at: SDM 2016, Crete, Greece, 4-6 April 2016 Presented at Setchi, R. et al. eds.Sustainable Design and Manufacturing 2016, Vol. 52. Smart Innovation, Systems and Technologies Cham: Springer pp. 281-293., (10.1007/978-3-319-32098-4_25)
- Ismail, H., Packianather, M. S., Grosvenor, R. I. and Eldukhri, E. E. 2016. The application of IWO in LQR controller design for the Robogymnast. Presented at: SAI Intelligent Systems Conference 2015 (IntelliSys), London, UK, 10-11 November 20152015 SAI Intelligent Systems Conference (IntelliSys 2015). Institute of Electrical and Electronics Engineers (IEEE) pp. 274-279., (10.1109/IntelliSys.2015.7361154)
- Al-Moadhen, A. A., Packianather, M., Setchi, R. and Qiu, R. 2016. Robot task planning in deterministic and probabilistic conditions using semantic knowledge base. International Journal of Knowledge and Systems Science 7(1), pp. 56-77. (10.4018/IJKSS.2016010104)
2015
- Packianather, M. S. and Kapoor, B. 2015. A wrapper-based feature selection approach using Bees Algorithm for a wood defect classification system. Presented at: 2015 10th System of Systems Engineering Conference (SoSE), San Antonio, TX, USA, 17-20 May 20152015 10th System of Systems Engineering Conference (SoSE 2015). Institute of Electrical and Electronics Engineers (IEEE) pp. 498-503., (10.1109/SYSOSE.2015.7151902)
- Yuce, B., Pham, D., Packianather, M. S. and Mastrocinque, E. 2015. An enhancement to the Bees Algorithm with slope angle computation and Hill Climbing Algorithm and its applications on scheduling and continuous-type optimisation problem. Production & Manufacturing Research: An Open Access Journal 3(1), pp. 3-19. (10.1080/21693277.2014.976321)
- Packianather, M. S., Griffiths, C. and Kadir, W. 2015. Micro injection moulding process parameter tuning. Presented at: 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14, Capri, Italy, 23- 25 July 2014Procedia CIRP: 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14, Vol. 33. Elsevier pp. 400-405.
- Al-Moadhen, A., Packianather, M., Qiu, R., Setchi, R. and Ji, Z. 2015. Improving the efficiency of robot task planning by automatically integrating its planner and common-sense knowledge base. In: Tweedale, J. W., Jain, L. C. and Watada, J. eds. Knowledge-Based Information Systems in Practice., Vol. 30. Springer, pp. 185-198., (10.1007/978-3-319-13545-8_11)
2014
- Yuce, B., Mastrocinque, E., Packianather, M. S., Lambiase, A. and Pham, D. T. 2014. The Bees Algorithm and its applications. In: Vasant, P. ed. Handbook of Research on Artificial Intelligence Techniques and Algorithms. IGI Global, (10.4018/978-1-4666-7258-1.ch004)
- Yuce, B., Mastrocinque, E., Lambiase, A., Packianather, M. S. and Truong Pham, D. 2014. A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy. Swarm and Evolutionary Computation 18, pp. 71-82. (10.1016/j.swevo.2014.04.002)
- Ismail, H., Eldukhri, E. E. and Packianather, M. S. 2014. Invasive weed optimization of swing-up control parameters for robot gymnast. Presented at: 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Besançon, France, 8-11 July 20142014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Hoboken, NJ: IEEE pp. 88-93., (10.1109/AIM.2014.6878052)
- Yuce, B., Mastrocinque, E., Packianather, M. S., Pham, D., Lambiase, A. and Fruggiero, F. 2014. Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects. Production & Manufacturing Research: An Open Access Journal 2(1), pp. 291-308. (10.1080/21693277.2014.892442)
- Mastrocinque, E., Yuce, B., Lambiase, A. and Packianather, M. S. 2014. A system of systems approach to supply chain design. Applied Mechanics and Materials 496, pp. 2807-2814. (10.4028/www.scientific.net/AMM.496-500.2807)
- Packianather, M. S., Yuce, B., Mastrocinque, E., Fruggiero, F., Pham, D. and Lambiase, A. 2014. Novel Genetic Bees Algorithm applied to single machine scheduling problem. Presented at: World Automation Congress (WAC) 2014, Waikoloa, Hawaii, USA, 3-7 August 2014World Automation Congress (WAC), 2014. IEEE pp. 906-911., (10.1109/WAC.2014.6936194)
- Al-Moadhen, A., Packianather, M. S., Setchi, R. and Qiu, R. 2014. Automation in handling uncertainty in semantic-knowledge based robotic task-planning by using markov logic networks.. Procedia Computer Science 35(C), pp. 1023-1032. (10.1016/j.procs.2014.08.188)
2013
- Ramírez, F. J., Domingo, R., Sebastián, M. A. and Packianather, M. S. 2013. The development of competencies in manufacturing engineering by means of a deep-drawing tool. Journal of Intelligent Manufacturing 24(3), pp. 457-472. (10.1007/s10845-011-0575-8)
- Mastrocinque, E., Yuce, B., Lambiase, A. and Packianather, M. S. 2013. A multi-objective optimisation for supply chain network using the bees algorithm. International Journal of Engineering Business Management 5, pp. 1-11., article number: 38. (10.5772/56754)
- Yuce, B., Packianather, M. S., Mastrocinque, E., Pham, D. T. and Lambiase, A. 2013. Honey bees inspired optimization method: the Bees Algorithm. Insects 4(4), pp. 646-662. (10.3390/insects4040646)
2012
- Ji, Z. et al. 2012. Towards automated task planning for service robots using semantic knowledge representation. Presented at: 2012 10th IEEE International Conference on Industrial Informatics (INDIN), Beijing, China, 25-27 July 2012INDIN2012: IEEE 10th International Conference on Industrial Informatics. Los Alamitos, CA: IEEE pp. 1194-1201., (10.1109/INDIN.2012.6301131)
- Kamil, H., Eldukhri, E. E. and Packianather, M. S. 2012. Optimisation of swing-up control parameters for a robot gymnast using the Bees Algorithm. Presented at: 8th International Symposium on Intelligent and Manufacturing Systems (IMS2012), Antalya, Turkey, 27 - 28 September 2012Proceedings of 8th International Symposium on Intelligent and Manufacturing Systems (IMS 2012). Amtalya: Sakarya University Department of Industrial Engineering pp. 456-466.
2011
- Ramirez, F. J., Packianather, M. S. and Pham, D. T. 2011. Improving Multistage Plastic Deformation Processes by Means of a Sustainable Manufacturing System. IEEE Systems Journal 5(3), pp. 332-341. (10.1109/JSYST.2011.2152010)
2010
- Minev, E., Popov, K. B., Minev, R., Dimov, S. S., Gagov, V. and Packianather, M. S. 2010. Utilizing a Grid method for Accuracy Study of Micro SLA parts. Presented at: 7th International Conference on Multi-Material Micro Manufacture,, Bourg en Bresse and Oyonnax, France, 17-19 November 2010 Presented at Fillon, B., Khan-Malek, C. and Dimov, S. S. eds.Proceedings of the 6th International Conference on Multi-Material Micro Manufacture. Singapore: Research Publishing pp. 257-260., (10.3850/978-981-08-6555-9_154)
- Packianather, M. S., Pham, D. T., Charles, E. Y. A., Martina, R., Teti, R., D'Addona, D. and Iodice, G. 2010. Spiking neural network with delay-adaption learning model for decision support in treating dental malocclusions. VIMation Journal 2010(1), pp. 48-57.
- Pham, D. T., Eldbib, K., Bigot, S. and Packianather, M. S. 2010. A data ordering method for the RULES family of algorithms. Presented at: I*PROMS 2009 Conference :Innovative Production Machines and Systems, Cardiff, UK, July 6-17 2009 Presented at Pham, D. T., Eldukhri, E. E. and Soroka, A. J. eds.Innovative production machines and systems: fifth I*PROMS Virtual Conference, 6-17th July 2009. Dunbeath: Whittles pp. 200-205.
2008
- Zurek, S., Moses, A. J., Packianather, M. S., Anderson, P. I. and Anayi, F. J. 2008. Prediction of power loss and permeability with the use of an artificial neural network in wound toroidal cores. Journal of Magnetism and Magnetic Materials 320(20), pp. e1001-e1005. (10.1016/j.jmmm.2008.04.177)
- Pham, D. T., Packianather, M. S. and Charles, E. Y. A. 2008. Control chart pattern clustering using a new self-organizing spiking neural network. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222(10), pp. 1201-1211. (10.1243/09544054JEM1054)
- Griffiths, C. A., Dimov, S. S., Brousseau, E. B. J. P. and Packianather, M. S. 2008. The finite element analysis of melt flow behaviour in micro-injection moulding. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222(9), pp. 1107-1118. (10.1243/09544054JEM965)
- Egbunike, O., Potter, A. T., Packianather, M. S. and Found, P. 2008. Are capsule pipelines a pipe dream? A critical review. Presented at: Logistics Research Network Annual Conference, Liverpool, UK, 10-12 September 2008.
- Griffiths, C. A., Dimov, S. S., Brousseau, E. B. J. P. and Packianather, M. S. 2008. Micro injection moulding: simulation of melt flow behaviour. Presented at: 4th International Conference on Multi-Material Micro Manufacture (4M), Cardiff, UK, 9-11 September 2008 Presented at Dimov, S. and Menz, W. eds.4M 2008 : Fourth International Conference on Multi-Material Micro Manufacture, 9th-11th September 2008, Cardiff, UK. Dunbeath: Whittles pp. 267-270.
- Pham, D. et al. 2008. The innovative production machines and systems network of excellence. In: Putnik, G. D. and Cunha, M. . eds. Encyclopedia of Networked and Virtual Organisations. Information Science Reference, pp. 725-728.
2007
- Pham, D. T., Soroka, A. J., Packianather, M. S., Ghanbarzadeh, A., Koc, E. and Otri, S. 2007. Using the bees algorithm to train neural networks for wood defect identification. Presented at: 40th CIRP International Seminar on Manufacturing Systems, Liverpool, UK, 30 May – 1 June 2007.
- Sha, B., Dimov, S. S., Griffiths, C. A. and Packianather, M. S. 2007. Micro-injection moulding: factors affecting the achievable aspect ratios. International Journal of Advanced Manufacturing Technology 33(1-2), pp. 147 - 156. (10.1007/s00170-006-0579-2)
- Packianather, M. S., Dimov, S. S., Griffiths, C. A. and Sha, B. 2007. Investigation of micro-injection moulding: factors affecting the replication quality. Journal of Materials Processing Technology 183(2-3), pp. 284 - 296. (10.1016/j.jmatprotec.2006.10.019)
- Pham, D. T. et al. 2007. Recent advances in micro and nano manufacturing. Presented at: Proceedings of 4th International Conference on Digital Enterprise Technology (DET2007), Bath, UK. pp. 24-33.
- Zurek, S., Moses, A. J., Packianather, M. S., Anderson, P. I. and Anayi, F. J. 2007. Neural networks for prediction of power loss and permeability in wound toroidal cores. Presented at: 18th Soft Magnetic Materials Conference (SMM18), Cardiff, UK. Vol. J-012. pp. 113.
2006
- Pham, D. T. et al. 2006. Introduction to the special section on Innovative Production Machines and Systems (I*PROMS). Engineering Applications of Artificial Intelligence 19(6), pp. 579-581. (10.1016/j.engappai.2006.03.007)
- Pham, D. T., Soroka, A. J., Ghanbarzadeh, A., Koc, E., Otri, S. and Packianather, M. S. 2006. Optimising neural networks for identification of wood defects using the bees algorithm. Presented at: 2006 IEEE International Conference on Industrial Informatics, Singapore, 16-18 August 2006Proceedings of the 2006 IEEE International Conference on Industrial Informatics, Singapore, 16-18 August 2006. IEEE pp. 1346-1351., (10.1109/INDIN.2006.275855)
- Pham, D. T. et al. 2006. The Fp6 I*Proms network of excellence: Integrating European advanced manufacturing research. Presented at: 5th International Symposium on Intelligent and Manufacturing Systems (IMS 2006), Sakarya, Turkey, 29-31 May 2006.
- Zurek, S., Moses, A. J. and Packianather, M. S. 2006. Implementing an Artificial Neural Network Using National Instruments LabVIEW. Project Report. [Online]. Newbury, Berkshire: National Instruments. Available at: http://sine.ni.com/cs/app/doc/p/id/cs-681
2005
- Packianather, M. S. and Drake, P. R. 2005. Comparison of neural and minimum distance classifiers in wood veneer defect identification. Proceedings of Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 219(11), pp. 831-841. (10.1243/095440505X32823)
- Pham, D. T. et al. 2005. The EU FP6 I*PROMS network of excellence for innovative production machines and systems. Presented at: Innovative Production Machines and Systems Conference (IPROMS 2005), Cardiff, UK.
- Pham, D. T. et al. 2005. The EU FP6 I*PROMS Network of Excellence for Innovative production Machines and Systems. Presented at: Virtual International Conference on IPROMS, 4th - 15th July 2005 Presented at Pham, D. T., Eldukhri, E. E. and Soroka, A. J. eds.Intelligent Production Machines and Systems: First I*PROMS Virtual Conference, 4-15 July 2005. Amsterdam: Elsevier pp. 1-4.
2004
- Packianather, M. S. and Drake, P. R. 2004. Modelling neural network performance through response surface methodology for classifying wood veneer defects. Proceedings of Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218(4), pp. 459-466. (10.1243/095440504323055588)
- Packianather, M. S. and Drake, P. R. 2004. A modelling neural network performance through response surface methodology for classifying wood veneer defects. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218(4), pp. 459-466. (10.1243/095440504323055588)
- Pham, D. T. et al. 2004. Innovative production machines and systems (I*PROMS): a network of excellence funded by the EU sixth framework programme. Presented at: Proceedings 2nd IEEE International Conference on Industrial Informatics (INDIN2004), Berlin, Germany. pp. 540-544.
- Pham, D. T. et al. 2004. Integrating European advanced manufacturing research: the FP6 I*PROMS network of excellence. Presented at: Proceedings 4th CIRP (ICME 04), Sorrento, Italy. pp. 543-548.
- Pham, D. T., Packianather, M. S., Dimov, S. S., Soroka, A. J., Gerard, T., Bigot, S. and Salem, Z. 2004. An application of datamining and machine learning techniques in the metal industry. Presented at: Proceedings 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, Sorrento, Italy. pp. 617-620.
2002
- Pham, D. T. et al. 2002. Intelligent robotised physiotherapy tested on an 8-DOF mechatronic arm. Presented at: Proceedings 15th Triennial World Congress on Automatic Control, Barcelona, Spain.
- Pham, D. T., Wang, Z., Yang, Y. and Packianather, M. S. 2002. Statistical analysis of signal-to-noise ratios in fringe pattern matching. Presented at: 6th Annual International Conference on Signal Processing Proceedings, Institute of Electrical & Electronics Engineers Inc Peoples Post & Telecommunications Publishing House, Beijing, China. pp. 636-639.
2001
- Aldridge, R. J. and Packianather, M. S. 2001. An easier route to expert systems in manufacturing. Presented at: 17th National Conference on Manufacturing Research (NCMR), Cardiff, UK. pp. 43-48.
- Pham, D. T., Eldukhri, E. E., Dimov, S. S., Packianather, M. S., Zlatov, N., Fahmy, A. and Shankir, Y. M. A. 2001. A knowledge based system for selection of exercises for robotised physiotherapy. Presented at: 8th IEEE International Conference on Mechatronics and Machine Vision in Practice, Hong Kong, China. pp. 85-88.
- Pham, D. T., Packianather, M. S., Eldukhri, E. E., Dimov, S. S., B., Z. N., Fahmy, A. A. and Shankir, Y. M. A. 2001. A knowledge-based system for selection of exercises for robotised physiotherapy. Presented at: European Workshop on Service & Humanoid Robots (SERVICEROB), Santorini, Greece.
- Pham, D. T. et al. 2001. Modelling and control of an 8-DOF mechatronic limb. Presented at: 8th IEEE International Conference on Mechatronics and Machine Vision in Practice, Hong Kong, China. pp. 314-317.
Articles
- Suliman, F., Anayi, F. and Packianather, M. 2024. Electrical faults analysis and detection in photovoltaic arrays based on machine learning classifiers. Sustainability 16(3), article number: 1102. (10.3390/su16031102)
- Hejazi, S. Z., Packianather, M. and Liu, Y. 2024. A novel customised load adaptive framework for induction motor fault classification utilising MFPT bearing dataset. Machines 12(1), article number: 44. (10.3390/machines12010044)
- Chu, A. M. et al. 2023. A framework for practically effective creation of postprocessors for 5-axis CNC machines with all possible configurations and working mechanisms. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (10.1177/09544054231179314)
- Mohamed, M., Abdul Samad, B., Anayi, F., Packianather, M. and Yahya, K. 2023. Analysing various control technics for manipulator robotic system (Robogymnast). Computers, Materials & Continua 75(3), pp. 4681-4696. (10.32604/cmc.2023.035312)
- Alghamdi, T. A., Abdusalam, O. T., Anayi, F. and Packianather, M. 2023. An artificial neural network based harmonic distortions estimator for grid- connected power converter-based applications. Ain Shams Engineering Journal 14(4), article number: 101916. (10.1016/j.asej.2022.101916)
- Alamri, N. M., Packianather, M. and Bigot, S. 2023. Optimizing the parameters of long short-term memory networks using the bees algorithm. Applied Sciences 13(4), article number: 2536. (10.3390/app13042536)
- Alamri, N. M. H., Packianather, M. and Bigot, S. 2022. Predicting the porosity in selective laser melting parts using hybrid regression convolutional neural network. Applied Sciences 12(24), article number: 12571. (10.3390/app122412571)
- Elgbaily, M., Anayi, F. and Packianather, M. 2022. Genetic and particle swarm optimization algorithms based direct torque control for torque ripple attenuation of induction motor. Materials Today: Proceedings 67(4), pp. 577-590. (10.1016/j.matpr.2022.08.293)
- Alghamdi, T. A. H., Anayi, F. and Packianather, M. 2022. Modelling and control development of a cascaded NPC-based MVDC converter for harmonic analysis studies in power distribution networks. Energies 15(13), article number: 4867. (10.3390/en15134867)
- Abdusalam, O., Ibrahim, A., Anayi, F. and Packianather, M. 2022. New hybrid machine learning method for detecting faults in three-phase power transformers. Energies 15(11), article number: e3905. (10.3390/en15113905)
- Altayef, E., Anayi, F., Packianather, M., Benmahamed, Y. and Kherif, O. 2022. Detection and classification of lamination faults in A 15 kVA three-phase transformer core using SVM, KNN and DT algorithms. IEEE Access 10, pp. 50925-50932. (10.1109/ACCESS.2022.3174359)
- Alghamdi, T. A. H., Anayi, F. and Packianather, M. 2022. Optimal design of passive power filters using the MRFO algorithm and a practical harmonic analysis approach including uncertainties in distribution networks. Energies 15(7), article number: 2566. (10.3390/en15072566)
- Ibrahim, A., Anayi, F., Packianather, M. and Alomari, O. A. 2022. New hybrid invasive weed optimization and machine learning approach for fault detection. Energies 15(4), article number: 1488. (10.3390/en15041488)
- Shouran, M., Anayi, F., Packianather, M. and Habil, M. 2022. Different fuzzy control configurations tuned by the Bees Algorithm for LFC of two-area power system. Energies 15(2), article number: 657. (10.3390/en15020657)
- Chu, A. M., Nguyen, C. D., Duong, X. B., Nguyen, A. V., Nguyen, T. A., Le, C. H. and Packianather, M. 2022. A novel mathematical approach for finite element formulation of flexible robot dynamics. Mechanics Based Design of Structures and Machines 50(11), pp. 3747-3767. (10.1080/15397734.2020.1820874)
- Shouran, M., Anayi, F. and Packianather, M. 2022. Design of sliding mode control optimised by the Bees algorithm for LFC in the Great Britain power system. Materials Today: Proceedings 52(3), pp. 937-945. (10.1016/j.matpr.2021.10.322)
- Alamri, N. M., Packianather, M. and Bigot, S. 2022. Deep learning: parameter optimization using proposed novel hybrid bees Bayesian convolutional neural network. Applied Artificial Intelligence 36(1), article number: 2031815. (10.1080/08839514.2022.2031815)
- Altayef, E., Anayi, F., Packianather, M. S. and Kherif, O. 2022. On the effects of lamination artificial faults in A 15 kVA three-phase transformer core. IEEE Access 10, pp. 19348-19355. (10.1109/ACCESS.2022.3151367)
- Shouran, M., Anayi, F. and Packianather, M. 2021. The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System. Energies 14(18), article number: 5701. (10.3390/en14185701)
- Shouran, M., Anayi, F., Packianather, M. and Habil, M. 2021. Load frequency control based on the Bees Algorithm for the Great Britain power system. Designs 5(3), article number: 50. (10.3390/designs5030050)
- Chen, Z., Liu, Y., Valera-Medina, A., Robinson, F. and Packianather, M. 2021. Multi-faceted modelling for strip breakage in cold rolling using machine learning. International Journal of Production Research 59(21), pp. 6347-6360. (10.1080/00207543.2020.1812753)
- Nguyen, T., Mia, M., Dang, X., Le, C. and Packianather, M. S. 2020. Green machining for the dry milling process of stainless steel 304. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234(5), pp. 881-899. (10.1177/0954405419888126)
- Al-Musawi, A. K., Anayi, F. and Packianather, M. 2020. Three-phase induction motor fault detection based on thermal image segmentation. Infrared Physics and Technology 104, article number: 103140. (10.1016/j.infrared.2019.103140)
- Duy Nguyen, V., Nguyen, T. T., Pham, T. T., Packianather, M. and Le, C. H. 2019. Molecular screening and genetic diversity analysis of anticancer Azurin-encoding and Azurin-like genes in human gut microbiome deduced through cultivation-dependent and cultivation-independent studies. International Microbiology 22(4), pp. 437-449. (10.1007/s10123-019-00070-8)
- Lorenz, C., Spaeth, A. B., Bleil De Souza, C. and Packianather, M. 2019. Artificial neural networks for parametric daylight design. Architectural Science Review 63(2), pp. 210-221. (10.1080/00038628.2019.1700901)
- Packianather, M. S., Al-Musawi, A. K. and Anayi, F. 2019. Bee for mining (B4M) - a novel rule discovery method using the Bees algorithm with quality-weight and coverage-weight. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233(14), pp. 5101-5112. (10.1177/0954406219833719)
- My, C. A., Le, C. H., Packianather, M. and Bohez, E. L. 2018. Novel robot arm design and implementation for hot forging press automation. International Journal of Production Research (10.1080/00207543.2018.1521026)
- Yi, L., Li, Z., Yang, L., Liu, J. and Packianather, M. 2018. Evaluation on the development degree of China's seven pilot carbon markets. Chinese Journal of Population Resources and Environment 16(1), pp. 28-35. (10.1080/10042857.2018.1433809)
- Packianather, M. S., Eaton, M., Papadopoulos, I. and Alexopoulos, T. 2018. Optimizing the number of acoustic emission sensors using the bees algorithm for detecting surface fractures. Procedia CIRP 67, pp. 362-367. (10.1016/j.procir.2017.12.227)
- Yuce, B., Fruggiero, F., Packianather, M., Pham, D., Mastrocinque, E., Lambiase, A. and Fera, M. 2017. Hybrid genetic bees algorithm applied to single machine scheduling with earliness and tardiness penalties. Computers and Industrial Engineering 113, pp. 842-858. (10.1016/j.cie.2017.07.018)
- Ismail, H. A., Packianather, M. S. and Grosvenor, R. I. 2017. Multi-objective invasive weed optimization of the LQR controller. International Journal of Automation and Computing 14(3), pp. 321-339. (10.1007/s11633-017-1061-3)
- Packianather, M. S., Davies, A., Harraden, S., Soman, S. and White, J. 2017. Data mining techniques applied to a manufacturing SME. Procedia CIRP 62, pp. 123-128. (10.1016/j.procir.2016.06.120)
- Martino, G., Yuce, B., Iannone, R. and Packianather, M. S. 2016. Optimisation of the replenishment problem in the fashion retail industry using Tabu-Bees algorithm. IFAC-PapersOnLine 49(12), pp. 1685-1690. (10.1016/j.ifacol.2016.07.823)
- Al-Moadhen, A. A., Packianather, M., Setchi, R. and Qiu, R. 2016. Robot task planning in deterministic and probabilistic conditions using semantic knowledge base. International Journal of Knowledge and Systems Science 7(1), pp. 56-77. (10.4018/IJKSS.2016010104)
- Yuce, B., Pham, D., Packianather, M. S. and Mastrocinque, E. 2015. An enhancement to the Bees Algorithm with slope angle computation and Hill Climbing Algorithm and its applications on scheduling and continuous-type optimisation problem. Production & Manufacturing Research: An Open Access Journal 3(1), pp. 3-19. (10.1080/21693277.2014.976321)
- Yuce, B., Mastrocinque, E., Lambiase, A., Packianather, M. S. and Truong Pham, D. 2014. A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy. Swarm and Evolutionary Computation 18, pp. 71-82. (10.1016/j.swevo.2014.04.002)
- Yuce, B., Mastrocinque, E., Packianather, M. S., Pham, D., Lambiase, A. and Fruggiero, F. 2014. Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects. Production & Manufacturing Research: An Open Access Journal 2(1), pp. 291-308. (10.1080/21693277.2014.892442)
- Mastrocinque, E., Yuce, B., Lambiase, A. and Packianather, M. S. 2014. A system of systems approach to supply chain design. Applied Mechanics and Materials 496, pp. 2807-2814. (10.4028/www.scientific.net/AMM.496-500.2807)
- Al-Moadhen, A., Packianather, M. S., Setchi, R. and Qiu, R. 2014. Automation in handling uncertainty in semantic-knowledge based robotic task-planning by using markov logic networks.. Procedia Computer Science 35(C), pp. 1023-1032. (10.1016/j.procs.2014.08.188)
- Ramírez, F. J., Domingo, R., Sebastián, M. A. and Packianather, M. S. 2013. The development of competencies in manufacturing engineering by means of a deep-drawing tool. Journal of Intelligent Manufacturing 24(3), pp. 457-472. (10.1007/s10845-011-0575-8)
- Mastrocinque, E., Yuce, B., Lambiase, A. and Packianather, M. S. 2013. A multi-objective optimisation for supply chain network using the bees algorithm. International Journal of Engineering Business Management 5, pp. 1-11., article number: 38. (10.5772/56754)
- Yuce, B., Packianather, M. S., Mastrocinque, E., Pham, D. T. and Lambiase, A. 2013. Honey bees inspired optimization method: the Bees Algorithm. Insects 4(4), pp. 646-662. (10.3390/insects4040646)
- Ramirez, F. J., Packianather, M. S. and Pham, D. T. 2011. Improving Multistage Plastic Deformation Processes by Means of a Sustainable Manufacturing System. IEEE Systems Journal 5(3), pp. 332-341. (10.1109/JSYST.2011.2152010)
- Packianather, M. S., Pham, D. T., Charles, E. Y. A., Martina, R., Teti, R., D'Addona, D. and Iodice, G. 2010. Spiking neural network with delay-adaption learning model for decision support in treating dental malocclusions. VIMation Journal 2010(1), pp. 48-57.
- Zurek, S., Moses, A. J., Packianather, M. S., Anderson, P. I. and Anayi, F. J. 2008. Prediction of power loss and permeability with the use of an artificial neural network in wound toroidal cores. Journal of Magnetism and Magnetic Materials 320(20), pp. e1001-e1005. (10.1016/j.jmmm.2008.04.177)
- Pham, D. T., Packianather, M. S. and Charles, E. Y. A. 2008. Control chart pattern clustering using a new self-organizing spiking neural network. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222(10), pp. 1201-1211. (10.1243/09544054JEM1054)
- Griffiths, C. A., Dimov, S. S., Brousseau, E. B. J. P. and Packianather, M. S. 2008. The finite element analysis of melt flow behaviour in micro-injection moulding. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222(9), pp. 1107-1118. (10.1243/09544054JEM965)
- Sha, B., Dimov, S. S., Griffiths, C. A. and Packianather, M. S. 2007. Micro-injection moulding: factors affecting the achievable aspect ratios. International Journal of Advanced Manufacturing Technology 33(1-2), pp. 147 - 156. (10.1007/s00170-006-0579-2)
- Packianather, M. S., Dimov, S. S., Griffiths, C. A. and Sha, B. 2007. Investigation of micro-injection moulding: factors affecting the replication quality. Journal of Materials Processing Technology 183(2-3), pp. 284 - 296. (10.1016/j.jmatprotec.2006.10.019)
- Pham, D. T. et al. 2006. Introduction to the special section on Innovative Production Machines and Systems (I*PROMS). Engineering Applications of Artificial Intelligence 19(6), pp. 579-581. (10.1016/j.engappai.2006.03.007)
- Packianather, M. S. and Drake, P. R. 2005. Comparison of neural and minimum distance classifiers in wood veneer defect identification. Proceedings of Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 219(11), pp. 831-841. (10.1243/095440505X32823)
- Packianather, M. S. and Drake, P. R. 2004. Modelling neural network performance through response surface methodology for classifying wood veneer defects. Proceedings of Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218(4), pp. 459-466. (10.1243/095440504323055588)
- Packianather, M. S. and Drake, P. R. 2004. A modelling neural network performance through response surface methodology for classifying wood veneer defects. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218(4), pp. 459-466. (10.1243/095440504323055588)
Book sections
- Nguyen, V. D., Pham, T. C., Le, C. H., Huynh, T. T., Le, T. H. and Packianather, M. 2023. An innovative and smart agriculture platform for improving the coffee value chain and supply chain. In: Nguyen, T. and Lu, J. eds. Machine Learning and Mechanics Based Soft Computing Applications., Vol. 1068. Studies in Computational Intelligence Springer, pp. 185-197., (10.1007/978-981-19-6450-3_19)
- Alexopoulos, T., Marsh, J., Llewellyn, G. and Packianather, M. 2023. An adaptive water consumption monitoring and conservation system. In: Scholz, S. G., Howlett, R. J. and Setchi, R. eds. Sustainable Design and Manufacturing Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022)., Vol. 338. Smart Innovation, Systems and Technologies, pp. 191-200., (10.1007/978-981-19-9205-6_18)
- Al-Moadhen, A., Packianather, M., Qiu, R., Setchi, R. and Ji, Z. 2015. Improving the efficiency of robot task planning by automatically integrating its planner and common-sense knowledge base. In: Tweedale, J. W., Jain, L. C. and Watada, J. eds. Knowledge-Based Information Systems in Practice., Vol. 30. Springer, pp. 185-198., (10.1007/978-3-319-13545-8_11)
- Yuce, B., Mastrocinque, E., Packianather, M. S., Lambiase, A. and Pham, D. T. 2014. The Bees Algorithm and its applications. In: Vasant, P. ed. Handbook of Research on Artificial Intelligence Techniques and Algorithms. IGI Global, (10.4018/978-1-4666-7258-1.ch004)
- Pham, D. et al. 2008. The innovative production machines and systems network of excellence. In: Putnik, G. D. and Cunha, M. . eds. Encyclopedia of Networked and Virtual Organisations. Information Science Reference, pp. 725-728.
Conferences
- Pham, T. C., Nguyen, V. D., Le, C. H., Packianather, M. and Hoang, V. 2023. Artificial intelligence-based solutions for coffee leaf disease classification. Presented at: International Conference on Marine Sustainable Development and Innovation (MSDI 2023), Nha Trang, Vietnam, 21-23 July 2023, Vol. 1278. IOP Publishing pp. 12004., (10.1088/1755-1315/1278/1/012004)
- Hejazi, S., Packianather, M. and Liu, Y. 2023. A Novel approach using WGAN-GP and conditional WGAN-GP for generating artificial thermal images of induction motor faults. Presented at: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), 06-08 September 2023, Vol. 225. Elsevier pp. 3681-3691., (10.1016/j.procs.2023.10.363)
- Wan, Y., Chen, Z., Liu, Y., Packianather, M. and Wang, R. 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 20232023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1-6., (10.1109/CASE56687.2023.10260566)
- Vu, M. D. et al. 2023. Prediction of the welding process parameters and the weld bead geometry for robotic welding applications with adaptive neuro-fuzzy models. Presented at: The International Conference on Intelligent Systems & Networks, 18-19 March 2023 Presented at Nguyen, T. et al. eds., Vol. 752. Lecture Notes in Networks and Systems Singapore: Springer pp. 148-158., (10.1007/978-981-99-4725-6_20)
- Abdusalam, O., Anayi, F. and Packianather, M. 2023. Three-phase power transformer fault diagnosis based on support vector machines and bees algorithm. Presented at: 3rd International Conference in Power Engineering Applications (ICPEA), Putrajaya, Malaysia, 6-7 March 2023Proceedings of 3rd International Conference in Power Engineering Applications. IEEE pp. 145-150., (10.1109/ICPEA56918.2023.10093147)
- Alamri, N. M. H., Packianather, M. and Bigot, S. 2022. Optimization of convolutional neural network topology and training parameters using Bees Algorithm. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE pp. 1-6., (10.1109/iSSSC56467.2022.10051487)
- Hejazi, S., Packianather, M. and Liu, Y. 2022. Novel preprocessing of multimodal condition monitoring data for classifying induction motor faults using deep learning methods. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE pp. 1-6., (10.1109/iSSSC56467.2022.10051321)
- Abdusalam, O., Anayi, F. and Packianather, M. 2022. Discrimination between internal current and external fault in three phase power transformer by Using alienation coefficient. Presented at: 2022 57th International Universities Power Engineering Conference (UPEC), Istanbul, Turkey, 30 Aug 22 - 02 Sept 222022 57th International Universities Power Engineering Conference (UPEC). IEEE, (10.1109/UPEC55022.2022.9917688)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. New Transfer Learning Approach Based on a CNN for Fault Diagnosis. Presented at: 1st International Electronic Conference on Machines and Applications, 15–30 September 2022, Online, 15-30 September 2022The 1st International Electronic Conference on Machines and Applications. Vol. 16. MDPI, (10.3390/IECMA2022-12905)
- Egbe, U., Le, C. H., Gao, J., Chu, A. M., Packianather, M. and Zlatov, N. 2022. A case-based reasoning based framework for developing computer aided remanufacturing process planning systems. Presented at: International Conference on Reliable Systems Engineering (ICoRSE) - 2022, 8-9 September 2022 Presented at Cioboată, D. ed.International Conference on Reliable Systems Engineering (ICoRSE) - 2022. ICoRSE 2022, Vol. 534. Springer pp. 305-311., (10.1007/978-3-031-15944-2_28)
- Rayamane, P., Ji, Z. and Packianather, M. 2022. Design and development of a robust vision-based tactile sensor. Presented at: 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Sapporo, Japan, 11-15 July 20222022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, (10.1109/AIM52237.2022.9863285)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. Detection of three-phase induction motor faults using deep network-based transfer learning techniques. Presented at: IM IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), 23-25 May 20222022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE pp. 133-138., (10.1109/MI-STA54861.2022.9837619)
- Altayef, E., Anayi, F. and Packianather, M. 2022. A new enhancement of the k-NN algorithm by Using an optimization technique. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 24-31., (10.1109/ICACITE53722.2022.9823537)
- Altayef, E., Anayi, F. and Packianather, M. 2022. Power transformer fault detection methods and effects of edge burrs fault: a review. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 5-18., (10.1109/ICACITE53722.2022.9823815)
- Altayef, E., Anayi, F. and Packianather, M. 2022. Experimental investigation on impacts of insulation damage fault between laminations of power transformers. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 19-23., (10.1109/ICACITE53722.2022.9823834)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. New machine learning model-based fault diagnosis of induction motors using thermal images. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 58-62., (10.1109/ICACITE53722.2022.9823832)
- Ibrahim, A., Anayi, F. and Packianather, M. 2022. Novel deep network-based transfer learning approach for fault detection of three-phase induction motor. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 655-659., (10.1109/ICACITE53722.2022.9823821)
- Suliman, F., Anayi, F. and Packianather, M. 2022. Bees-algorithm for parameters identification of PV Models. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 28-29 April 2022Proceedings of 2nd International Conference on Advance Computing and Innovative Technologies in Engineering. IEEE pp. 2219-2223., (10.1109/ICACITE53722.2022.9823446)
- Mohamed, M., Anayi, F., Packianather, M., Samad, B. A. and Yahya, K. 2022. Simulating LQR and PID controllers to stabilise a three-link robotic system. Presented at: 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 28-29 April 20222022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, (10.1109/ICACITE53722.2022.9823512)
- Elgbaily, M., Anayi, F. and Packianather, M. 2022. Performance improvement based torque ripple minimization for direct torque control drive fed induction motor using fuzzy logic control. Presented at: 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022, Online, 30-31 Mar 2022 Presented at Wahab, N. A. and Zaharuddin, M. eds.Instrumentation and Mechatronics: Theory and Practice [Conference Proceedings], Vol. 921. Lecture Notes in Electrical Engineering Springer Science Business Media pp. 416–428., (10.1007/978-981-19-3923-5_36)
- Wan, Y., Chen, Z., Hu, F., Liu, Y., Packianather, M. and Wang, R. 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200 pp. 1174-1183., (10.1016/j.procs.2022.01.317)
- Shouran, M., Anayi, F. and Packianather, M. 2021. Fuzzy PID with filtered derivative mode based load frequency control of two-area power system. Presented at: 2021 56th International Universities Power Engineering Conference (UPEC), Middlesbrough, United Kingdom, 31 August -3 September 2021Proceedings 56th International Universities Power Engineering Conference (UPEC). IEEE, (10.1109/UPEC50034.2021.9548233)
- Ibrahim, A., Anayi, F., Packianather, M. and Al-Omari, O. 2021. Novel hybrid invasive weed optimization and machine learning approach for fault detection. Presented at: 2021 56th International Universities Power Engineering Conference (UPEC), Middlesbrough, United Kingdom, 31 August -3 September 20212021 56th International Universities Power Engineering Conference (UPEC). IEEE, (10.1109/UPEC50034.2021.9548171)
- Shouran, M., Anayi, F. and Packianather, M. 2021. A state-of-the-art review on LFC strategies in conventional and modern power systems. Presented at: 1st International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 4-5 March 20212021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE pp. 268-277., (10.1109/ICACITE51222.2021.9404653)
- My, C. A. et al. 2021. A generalization approach for the kinematic modelling of the rotational axes of five-axis CNC centers. Presented at: International Conference on Material, Machines and Methods for Sustainable Development, Nha Trang, Vietnam, 12-15 Nov 2020 Presented at Banh, T. L. et al. eds.Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development. Lecture Notes in Mechanical Engineering book series (LNME) pp. 983-990., (10.1007/978-3-030-69610-8_130)
- My, C. A. et al. 2021. Real time inverse kinematics of five-axis CNC centers. Presented at: International Conference on Material, Machines and Methods for Sustainable Development, Nha Trang, Vietnam, 12-15 Nov 2020 Presented at Long, B. et al. eds.Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). Cham: Springer pp. 991-999., (10.1007/978-3-030-69610-8_131)
- Packianather, M. S., Munizaga, N. L., Zouwail, S. and Saunders, M. 2019. Development of soft computing tools and IoT for improving the performance assessment of analysers in a clinical laboratory. Presented at: 14th Annual Conference System of Systems Engineering (SoSE), Anchorage, USA, 19-22 May 20192019 14th Annual Conference System of Systems Engineering (SoSE). IEEE pp. 158., (10.1109/SYSOSE.2019.8753830)
- Lorenz, C., Spaeth, A., Bleil De Souza, C. and Packianather, M. 2019. Machine learning in design exploration: An investigation of the sensitivities of ANN-based daylight predictions. Presented at: "Hello, Culture": Computer-Aided Architectural Design Futures 2019, Daejeon, South Korea, 26-28 June 2019.
- Lorenz, C., Packianather, M., Bleil De Souza, C., Spaeth, A. B. and Lorenz, T. I. 2019. Input feature selection and optimization for ANN models predicting daylight in buildings. Presented at: 26th International Workshop on Intelligent Computing in Engineering, Leuven, Belgium, 30 June - 3 July 2019. pp. -.
- Pham, B. M. et al. 2018. Cost-effective solutions and tools for medical image processing and design of personalised cranioplasty implants. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T. V., Nguyen Le, T. A. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Singapore: Springer pp. 397-402., (10.1007/978-981-10-4361-1_67)
- Mai, A. T., Le, C. H., Phan, P. A., Le, H. Q., Le, T. and Packianather, M. S. 2018. Detection and monitoring of cancers with biosensors in Vietnam. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T. V., Nguyen Le, T. A. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Singapore: Springer pp. 687-691., (10.1007/978-981-10-4361-1_118)
- Le, C. H. et al. 2018. An integrated system and framework for development of medical applications and products based on medical imaging data. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T. V., Nguyen Le, T. A. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Cham: Springer pp. 363-368., (10.1007/978-981-10-4361-1_61)
- Packianather, M. S., Soman, S., Davies, A. and White, J. 2018. Predictive maintenance in a manufacturing environment through FIT manufacturing and discrete event simulation. Presented at: 2018 World Automation Congress (WAC), Stevenson, WA, USA, 3-6 Jun 20182018 World Automation Congress. IEEE pp. 237-242., (10.23919/WAC.2018.8430400)
- Li, G., Packianather, M., He, C. and Liu, M. 2018. Research on risk fuzzy comprehensive evaluation for construction engineering projects based on AHM. Presented at: 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), NIngbo, China, 19-21 November 20172017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE pp. 605-608., (10.1109/ICCIS.2017.8274846)
- Lorenz, C., Packianather, M., Spaeth, A. and Bleil De Souza, C. 2018. Artificial neural network-based modelling for daylight evaluations. Presented at: SimAUD 2018, Delft, The Netherlands, 4-7 June 2018.
- Nguyen, V. B., Le, C. H., Zhang, Z., Lee, R., Nguyen, T. A. and Packianather, M. S. 2017. Recent advances in experimental testing and computational modelling for characterisation of mechanical properties of biomaterials and biological cells. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017 Presented at Van, T., Nguyen Le, T. and Nguyen Duc, T. eds.6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), Vol. 63. IFMBE Proceedings Cham: Springer pp. 655-660., (10.1007/978-981-10-4361-1_112)
- Alexopoulos, T. and Packianather, M. 2017. A monitoring and data analysis system to achieve zero-defects manufacturing in highly regulated industries. Presented at: 4th International Conference on Sustainable Design and Manufacturing, Bologna, Italy, Apr 2017Sustainable Design and Manufacturing 2017, Vol. 68. Cham: Springer pp. 303-313., (10.1007/978-3-319-57078-5_30)
- Le, C. H., Kasmaji, W. W., Packianather, M., Mengistu, S., Tran, D. T. and Chu, A. M. 2017. Customer driven mass-customisation and innovative product development with parametric design & generative modeling. Presented at: 15th International Conference on Manufacturing Research, London, UK, 5-7 September 2017Advances in Manufacturing Technology XXXI, Vol. 6. Advances in Transdisciplinary Engineering London: IOS Press pp. 415 - 420., (10.3233/978-1-61499-792-4-415)
- Packianather, M. S., Davies, A., AlZarooni, M. A., Soman, S. and White, J. 2016. Manufacturing process flow improvements using simulation and sustainable manufacturing. Presented at: 2016 World Automation Congress (WAC), 31 July-4 August 20162016 World Automation Congress (WAC). IEEE, (10.1109/WAC.2016.7582970)
- Davies, A., Packianather, M., White, J. and Soman, S. 2016. Achieving sustainability in SME manufacturing operations via the use of flexible integrated technology and product symbiosis. Presented at: SDM 2016, Crete, Greece, 4-6 April 2016 Presented at Setchi, R. et al. eds.Sustainable Design and Manufacturing 2016, Vol. 52. Smart Innovation, Systems and Technologies Cham: Springer pp. 281-293., (10.1007/978-3-319-32098-4_25)
- Ismail, H., Packianather, M. S., Grosvenor, R. I. and Eldukhri, E. E. 2016. The application of IWO in LQR controller design for the Robogymnast. Presented at: SAI Intelligent Systems Conference 2015 (IntelliSys), London, UK, 10-11 November 20152015 SAI Intelligent Systems Conference (IntelliSys 2015). Institute of Electrical and Electronics Engineers (IEEE) pp. 274-279., (10.1109/IntelliSys.2015.7361154)
- Packianather, M. S. and Kapoor, B. 2015. A wrapper-based feature selection approach using Bees Algorithm for a wood defect classification system. Presented at: 2015 10th System of Systems Engineering Conference (SoSE), San Antonio, TX, USA, 17-20 May 20152015 10th System of Systems Engineering Conference (SoSE 2015). Institute of Electrical and Electronics Engineers (IEEE) pp. 498-503., (10.1109/SYSOSE.2015.7151902)
- Packianather, M. S., Griffiths, C. and Kadir, W. 2015. Micro injection moulding process parameter tuning. Presented at: 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14, Capri, Italy, 23- 25 July 2014Procedia CIRP: 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14, Vol. 33. Elsevier pp. 400-405.
- Ismail, H., Eldukhri, E. E. and Packianather, M. S. 2014. Invasive weed optimization of swing-up control parameters for robot gymnast. Presented at: 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Besançon, France, 8-11 July 20142014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Hoboken, NJ: IEEE pp. 88-93., (10.1109/AIM.2014.6878052)
- Packianather, M. S., Yuce, B., Mastrocinque, E., Fruggiero, F., Pham, D. and Lambiase, A. 2014. Novel Genetic Bees Algorithm applied to single machine scheduling problem. Presented at: World Automation Congress (WAC) 2014, Waikoloa, Hawaii, USA, 3-7 August 2014World Automation Congress (WAC), 2014. IEEE pp. 906-911., (10.1109/WAC.2014.6936194)
- Ji, Z. et al. 2012. Towards automated task planning for service robots using semantic knowledge representation. Presented at: 2012 10th IEEE International Conference on Industrial Informatics (INDIN), Beijing, China, 25-27 July 2012INDIN2012: IEEE 10th International Conference on Industrial Informatics. Los Alamitos, CA: IEEE pp. 1194-1201., (10.1109/INDIN.2012.6301131)
- Kamil, H., Eldukhri, E. E. and Packianather, M. S. 2012. Optimisation of swing-up control parameters for a robot gymnast using the Bees Algorithm. Presented at: 8th International Symposium on Intelligent and Manufacturing Systems (IMS2012), Antalya, Turkey, 27 - 28 September 2012Proceedings of 8th International Symposium on Intelligent and Manufacturing Systems (IMS 2012). Amtalya: Sakarya University Department of Industrial Engineering pp. 456-466.
- Minev, E., Popov, K. B., Minev, R., Dimov, S. S., Gagov, V. and Packianather, M. S. 2010. Utilizing a Grid method for Accuracy Study of Micro SLA parts. Presented at: 7th International Conference on Multi-Material Micro Manufacture,, Bourg en Bresse and Oyonnax, France, 17-19 November 2010 Presented at Fillon, B., Khan-Malek, C. and Dimov, S. S. eds.Proceedings of the 6th International Conference on Multi-Material Micro Manufacture. Singapore: Research Publishing pp. 257-260., (10.3850/978-981-08-6555-9_154)
- Pham, D. T., Eldbib, K., Bigot, S. and Packianather, M. S. 2010. A data ordering method for the RULES family of algorithms. Presented at: I*PROMS 2009 Conference :Innovative Production Machines and Systems, Cardiff, UK, July 6-17 2009 Presented at Pham, D. T., Eldukhri, E. E. and Soroka, A. J. eds.Innovative production machines and systems: fifth I*PROMS Virtual Conference, 6-17th July 2009. Dunbeath: Whittles pp. 200-205.
- Egbunike, O., Potter, A. T., Packianather, M. S. and Found, P. 2008. Are capsule pipelines a pipe dream? A critical review. Presented at: Logistics Research Network Annual Conference, Liverpool, UK, 10-12 September 2008.
- Griffiths, C. A., Dimov, S. S., Brousseau, E. B. J. P. and Packianather, M. S. 2008. Micro injection moulding: simulation of melt flow behaviour. Presented at: 4th International Conference on Multi-Material Micro Manufacture (4M), Cardiff, UK, 9-11 September 2008 Presented at Dimov, S. and Menz, W. eds.4M 2008 : Fourth International Conference on Multi-Material Micro Manufacture, 9th-11th September 2008, Cardiff, UK. Dunbeath: Whittles pp. 267-270.
- Pham, D. T., Soroka, A. J., Packianather, M. S., Ghanbarzadeh, A., Koc, E. and Otri, S. 2007. Using the bees algorithm to train neural networks for wood defect identification. Presented at: 40th CIRP International Seminar on Manufacturing Systems, Liverpool, UK, 30 May – 1 June 2007.
- Pham, D. T. et al. 2007. Recent advances in micro and nano manufacturing. Presented at: Proceedings of 4th International Conference on Digital Enterprise Technology (DET2007), Bath, UK. pp. 24-33.
- Zurek, S., Moses, A. J., Packianather, M. S., Anderson, P. I. and Anayi, F. J. 2007. Neural networks for prediction of power loss and permeability in wound toroidal cores. Presented at: 18th Soft Magnetic Materials Conference (SMM18), Cardiff, UK. Vol. J-012. pp. 113.
- Pham, D. T., Soroka, A. J., Ghanbarzadeh, A., Koc, E., Otri, S. and Packianather, M. S. 2006. Optimising neural networks for identification of wood defects using the bees algorithm. Presented at: 2006 IEEE International Conference on Industrial Informatics, Singapore, 16-18 August 2006Proceedings of the 2006 IEEE International Conference on Industrial Informatics, Singapore, 16-18 August 2006. IEEE pp. 1346-1351., (10.1109/INDIN.2006.275855)
- Pham, D. T. et al. 2006. The Fp6 I*Proms network of excellence: Integrating European advanced manufacturing research. Presented at: 5th International Symposium on Intelligent and Manufacturing Systems (IMS 2006), Sakarya, Turkey, 29-31 May 2006.
- Pham, D. T. et al. 2005. The EU FP6 I*PROMS network of excellence for innovative production machines and systems. Presented at: Innovative Production Machines and Systems Conference (IPROMS 2005), Cardiff, UK.
- Pham, D. T. et al. 2005. The EU FP6 I*PROMS Network of Excellence for Innovative production Machines and Systems. Presented at: Virtual International Conference on IPROMS, 4th - 15th July 2005 Presented at Pham, D. T., Eldukhri, E. E. and Soroka, A. J. eds.Intelligent Production Machines and Systems: First I*PROMS Virtual Conference, 4-15 July 2005. Amsterdam: Elsevier pp. 1-4.
- Pham, D. T. et al. 2004. Innovative production machines and systems (I*PROMS): a network of excellence funded by the EU sixth framework programme. Presented at: Proceedings 2nd IEEE International Conference on Industrial Informatics (INDIN2004), Berlin, Germany. pp. 540-544.
- Pham, D. T. et al. 2004. Integrating European advanced manufacturing research: the FP6 I*PROMS network of excellence. Presented at: Proceedings 4th CIRP (ICME 04), Sorrento, Italy. pp. 543-548.
- Pham, D. T., Packianather, M. S., Dimov, S. S., Soroka, A. J., Gerard, T., Bigot, S. and Salem, Z. 2004. An application of datamining and machine learning techniques in the metal industry. Presented at: Proceedings 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, Sorrento, Italy. pp. 617-620.
- Pham, D. T. et al. 2002. Intelligent robotised physiotherapy tested on an 8-DOF mechatronic arm. Presented at: Proceedings 15th Triennial World Congress on Automatic Control, Barcelona, Spain.
- Pham, D. T., Wang, Z., Yang, Y. and Packianather, M. S. 2002. Statistical analysis of signal-to-noise ratios in fringe pattern matching. Presented at: 6th Annual International Conference on Signal Processing Proceedings, Institute of Electrical & Electronics Engineers Inc Peoples Post & Telecommunications Publishing House, Beijing, China. pp. 636-639.
- Aldridge, R. J. and Packianather, M. S. 2001. An easier route to expert systems in manufacturing. Presented at: 17th National Conference on Manufacturing Research (NCMR), Cardiff, UK. pp. 43-48.
- Pham, D. T., Eldukhri, E. E., Dimov, S. S., Packianather, M. S., Zlatov, N., Fahmy, A. and Shankir, Y. M. A. 2001. A knowledge based system for selection of exercises for robotised physiotherapy. Presented at: 8th IEEE International Conference on Mechatronics and Machine Vision in Practice, Hong Kong, China. pp. 85-88.
- Pham, D. T., Packianather, M. S., Eldukhri, E. E., Dimov, S. S., B., Z. N., Fahmy, A. A. and Shankir, Y. M. A. 2001. A knowledge-based system for selection of exercises for robotised physiotherapy. Presented at: European Workshop on Service & Humanoid Robots (SERVICEROB), Santorini, Greece.
- Pham, D. T. et al. 2001. Modelling and control of an 8-DOF mechatronic limb. Presented at: 8th IEEE International Conference on Mechatronics and Machine Vision in Practice, Hong Kong, China. pp. 314-317.
Monographs
- Zurek, S., Moses, A. J. and Packianather, M. S. 2006. Implementing an Artificial Neural Network Using National Instruments LabVIEW. Project Report. [Online]. Newbury, Berkshire: National Instruments. Available at: http://sine.ni.com/cs/app/doc/p/id/cs-681
Research
Contracts
| Title | People | Sponsor | Value | Duration |
|---|---|---|---|---|
| FLEXITOOL - Flexible tooling for the manufacture of free-form architectural cladding and facades | Setchi RM, Packianather M, Su S | European Commission (FP7) | 385062 | 01/10/2010 - 30/09/2012 |
| SRS - Multi-role shadow robotic system for independent living | Setchi RM, Qiu R, Noyvirt AE, Packianather M | Commission of European Communities | 650094 | 01/02/2010 - 31/01/2013 |
| Innovative production machines and systems I*PROMS - RCMC008 | Dr E Eldukhri, Prof DT Pham, Dr RM Setchi, Dr SS Dimov, Dr M Packianather, Dr AJ Thomas, Dr A Soroka | Commission of European Communities | 945102 | 01/10/2004 - 01/09/2009 |
| Astute - Advanced Sustainable Manufacturing Technology | Naim M (CARBS), Setchi R, Bigot S, Brousseau E, Prickett P, Davies A, Bowen P, Packianather M, Grosvenor RI (with CARBS) | WEFO | 1903117 | 01/05/2010 - 30/04/2015 |
| To Review and Implement a Method of Surface Treatment of Plastics to Create an Attraction to Facilitate the Bonding of Biological Materials | Packianather M | KTP/Ortho-Clinical Diagnostics | 121972 | 01/01/2010 - 31/12/2011 |
| To increase production output and sustainability of the current process via the integration of CAD-CAM, and design and commissioning of an automated brick cutting machinery together with the introduction of ''fit'' manufacturing system | Packianther M, Davies A | KTP and Brick Fabrication | 142673 | 04/02/2013 - 03/02/2015 |
| Supporting Innovatiive Product Engineering and Responsive Manufacture | Prof DT Pham, Dr SS Dimov, Mrs P Pham, Dr PR Drake, Dr M Packianather, Dr RM Setchi | Various Industry | 1930454 | 02/07/2001 - 02/01/2004 |
| Supporting Innovative Product Engineering and Responsive Manufacture | Prof DT Pham, Dr SS Dimov, Mrs P Pham, Dr PR Drake, Dr M Packianather, Dr RM Setchi | The National Assembly for Wales (European Regional Development Fund) | 5330982 | 02/07/2001 - 31/12/2003 |
| Distinguished visiting fellowship scheme 1 | Dr M Packianather | Royal Academy of Engineering | 5420 | 01/05/2009 - 25/12/2009 |
| Improvement of production processes through integration of macro, micro and nanotechnologies (IPMMAN) | Pham DT, Wang Z, SU S, Packianather M | Commission of European Communities | 24140 | 01/02/2006 - 01/02/2009 |
Supervised Students
| Title | Student | Status | Degree |
|---|---|---|---|
| Semantic based task planning for domestic service robots | AL MOADHEN AHMED ABDULHADI | Graduate | PhD |
| Review of position control systems for aerospace applications. | AL MALIKI Asaad | Current | PhD |
| Enhancements For The Bees Algorithm | IMANGULIYEV Azar | Graduate | PhD |
| Developing a Fit Manufacturing System | ALMUTARI Bader D F H A | Current | PhD |
| Novel Computational Technique For Determining Depth Using The Bees Algorithm And Blind Image Deconvolution | YUCE Baris | Graduate | PhD |
| Statistical model-Based Approaches In Machine Learning And Data Mining | GUI Bing | Graduate | MPhil/PhD |
| A Novel Rule Induction Algorithm With Improved Handling Of Contuinuous Valued Attributes | PHAM Dinh Trung | Graduate | PhD |
| Spiking Neural Networks. | CHARLES Eugene Yugarajah Andrew | Graduate | PhD |
| Product Service System Design for Automative Engineering | ALOTAIBI Fayez A B T | Current | PhD |
| Hot Embossing Process Parameters: Simulation and Experimental Studies | OMAR Fuad | Graduate | PhD |
| INTELLIGENT MODEL-BASED CONTROL OF COMPLEX MULTILINK MECHANISMS | ISMAIL Hafizul Azizi Bin | Current | PhD |
| Intelligent model-based control of complex three-link mechanisms | KAMIL Haider Galil | Graduate | PhD |
| Fit Manufacturing: Novel Fitness Indices For Continuous Improvement | KUTBI Jameel | Graduate | PhD |
| Machine Scheduling Using The Bees Algorithm | PHRUEKSANANT Janyarat | Graduate | PhD |
| NEW RULE INDUCTION ALGORITHMS WITH IMPROVED NOISE TOLERANCE AND SCALABILITY | SHEHZAD Khurram | Graduate | PhD |
| Manipulation of nanoparticles by pushing operations using an Atomic Force Microscope (AFM) | GONZALEZ ROMO Mario Javier | Graduate | PhD |
| Conceptual Design Of A Gripper For A First-Aid Robot | SAW Min Htet | Graduate | MPhil |
| Fractional Dimension For Clustering And Unsupervised And Supervised Feature Selection | SANCHEZ GARCIA Moises Noe | Graduate | PhD |
| Beyond Lean; A Framewprk For Fit Production Systems | WILLIAMS Oludare Adebayo | Graduate | PhD |
| Fit Manufacturing Data Mining and Machine Learning Applied to Brick Cutting | SOMAN Sajith | Current | MPhil |
| A Study of Search Neighbourhood In The Bees Algorithm | AHMAD Siti Azfanizam | Graduate | MPhil/PhD |
| Fit Manufacturing: Production Fitness As The measure Of Production Operations Performance | EBRAHIM Zuhriah | Graduate | PhD |