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Frank Langbein

Dr Frank Langbein

Senior Lecturer

School of Computer Science and Informatics

Email
LangbeinFC@cardiff.ac.uk
Telephone
+44 29208 70110
Campuses
Abacws, Room 3.06, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Comment
Media commentator
Users
Available for postgraduate supervision

Overview

I am a senior lecturer in Computer Science at Cardiff University, where I am a member of the Visual Computing Research Section. I co-lead the Qyber\black international research network in quantum control, which arose from the Quantum Technologies and Engineering research priority area at Cardiff University, and the Healthcare Technologies Research Group at the School of Computer Science and Informatics.

My research interests lie in control, machine learning and geometry applied in quantum technologies, visual computing, geometric modelling and healthcare. My teaching responsibilities cover individual and group projects and various programming techniques.

See my website Ex Tenebris Scientia for recent results and full details.

Publication

2023

2022

2021

2019

2018

2017

2015

2014

2013

2012

2011

  • Jonckheere, E., Schirmer, S. G. and Langbein, F. C. 2011. Geometry and curvature of spin networks. Presented at: 2011 IEEE Multi-Conference on Systems and Control, Denver, CO, USA, 28-30 September 20112011 IEEE International Conference on Control Applications (CCA). Los Alamitos, CA: IEEE pp. 786-791., (10.1109/CCA.2011.6044395)

2010

2009

2008

2007

2006

  • Liu, S., Martin, R. R., Langbein, F. C. and Rosin, P. L. 2006. Segmenting reliefs on triangle meshes. Presented at: SPM 2006: ACM Symposium on Solid and Physical Modeling, Cardiff, UK, 6-8 June 2006Proceedings, SPM 2006 : ACM Symposium on Solid and Physical Modeling : Cardiff, Wales, United Kingdom, June 06-08, 2006, Vol. SPM06. New York, USA: Association for Computing Machinery pp. 7-16., (10.1145/1128888.1128890)
  • Li, M., Langbein, F. C. and Martin, R. R. 2006. Constructing regularity feature trees for solid models. Presented at: Geometric Modeling and Processing (GMP 2006), Pittsburgh, PA, USA, 26-28 July 2006 Presented at Kim, M. S. and Shimada, K. eds.Geometric Modeling and Processing-GMP 2006. Lecture notes in computer science Vol. 4077. Berlin-Heidelberg: Springer Verlag pp. 267-286., (10.1007/11802914_19)
  • Quinn, J. A., Langbein, F. C., Martin, R. R. and Elber, G. 2006. Density-controlled sampling of parametric surfaces using adaptive space-filling curves. Presented at: Geometric Modeling and Processing (GMP 2006), Pittsburgh, PA, USA, 26-28 July 2006 Presented at Kim, M. and Shimada, K. eds.Geometric Modeling and Processing - GMP 2006. Lecture notes in computer science Vol. 4077. Berlin-Heidelberg: Springer Verlag pp. 465-484., (10.1007/11802914_33)

2004

2003

2002

2001

Articles

Conferences

Websites

Research

My research interests lie in control, machine learning and geometry applied in quantum technologies, geometric modelling, computer graphics, computer vision and healthcare.

My current work is focused on robust quantum control, developing a theory of robust, controlled quantum processes and associated algorithms to find and analyse such controls. It includes work on optimisation and reinforcement learning approaches as well as process tomography and simulation techniques. Initially focused on quantum information transfer, it has been expanded to quantum simulation and computing. The approaches are relevant to a wide range of hardware platforms, e.g., ultra-cold atoms, ion traps and superconducting circuits.

I also work on robust quantum control and machine learning techniques to improve magnetic resonance imaging and spectroscopy. A specific aim is to improve the accuracy of in-vivo quantification of metabolites by developing algorithms to find chemically specific pulse sequences and quantify metabolites in the resulting spectra. I am further interested in learning physical laws and constructing control models from empirical data for biochemical and quantum processes.

Moreover, my work encompasses geometric and solid modelling, processing of meshes, curves and surfaces, pattern recognition, graphics, and computational geometry. Special interests include point-based modelling, design intent of geometric models, approximate symmetries and reverse engineering geometric models.

Further details on my work are available on my website Ex Tenebris Scientia and the Qyber\black international research network in quantum control.

Teaching

I am currently coordinating undergraduate individual and group projects and provide support to students on these projects. I teach a range of programming techniques, from functional programming, including analog and differentiable approaches, to quantum computing. I have also been teaching imperative and object-oriented languages and can cover anything from machine code, backend, frontend to architecture and operations. I have also been teaching graphics and artificial intelligence.

Teaching material and further details are available on my website Ex Tenebris Scientia and the Qyber\black international research network in quantum control.

Biography

Frank C. Langbein received his Mathematics degree from Stuttgart University, Germany, in 1998 and a PhD on “Beautification of Reverse Engineered Geometric Models” from Cardiff University, Wales, UK, in 2003. He is currently a senior lecturer at the School of Computer Science and Informatics, Cardiff University, where he is a member of the Visual Computing Research Section and co-leads the Qyber\black international research network in quantum control and the Healthcare Technologies Research Group. He led the research programme on vision-based geometric modelling and the interface with science at the One Wales Research Institute for Visual Computing (RIVIC). His research interests include control, machine learning and geometry applied in quantum technologies, visual computing, geometric modelling and healthcare. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the American Mathematical Society (AMS).

Education

Career Overview

Professional memberships

Supervisions

I am interested in supervising PhD students on topics in quantum control and magnetic resonance imaging and spectroscopy:

  • Quantum control for quantum technologies:
    • Robust quantum control
    • Quantum reinforcement learning
    • Analog quantum computing
    • Learning physical laws and control models
  • Magnetic resonance imaging and spectroscopy (MRI/S)
    • Pulse sequence programming and quantum control
    • Metabolite quantification, spectroscopy
    • Early-stage cancer and dementia diagnosis
    • Biochemical mechanisms and control models

Current supervision

Asmail Muftah Muftah

Asmail Muftah Muftah

Research student

Zien Ma

Zien Ma

Research student

Muhammad Irtaza Khalid

Muhammad Irtaza Khalid

Research student

Ebtihal Alwadee

Ebtihal Alwadee

Research student

Specialisms

  • geometric modelling
  • quantum control
  • Machine learning
  • magnetic resonance imaging and spectroscopy
  • medical imaging