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Dr Lowri Williams
(hi/ei)
Darlithydd mewn Seiberddiogelwch
Yr Ysgol Cyfrifiadureg a Gwybodeg
- WilliamsL10@caerdydd.ac.uk
- +44 29225 14919
- Abacws, Ystafell 5.02, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
- Siarad Cymraeg
Trosolwyg
Gwyddonydd data ymchwil gyda 4 blynedd o brofiad mewn ymchwil academaidd a 2 flynedd mewn cydweithrediadau yn y diwydiant sy'n cefnogi busnesau bach canolig gydag atebion gwyddor data newydd.
Meysydd a diddordebau ymchwil: prosesu iaith naturiol, ieithyddiaeth gyfrifiadurol, cloddio data, cloddio testunau, dadansoddi teimlad, adnoddau iaith, dysgu peiriannau, peirianneg nodwedd, dosbarthiad, cynlluniau dosbarthu, gwyddor data, anodi data, torfoli.
Cydweithio ag arbenigwyr amlddisgyblaethol, yn ogystal â chymhwyso arbenigedd o fewn gwahanol ddisgyblaethau academaidd fel seiberddiogelwch, i gyflwyno allbynnau ymchwil a chanfyddiadau mewn sawl cyfnodolyn academaidd parchus. Mae hyn yn dangos creadigrwydd yn fy ymchwil drwy ddefnyddio technolegau o'r radd flaenaf i fynd i'r afael â phroblemau ymchwil cymhleth.
Cynnal Digwyddiadau Seiber Prifysgol Caerdydd - gwefan sy'n caniatáu i staff a myfyrwyr gael y wybodaeth ddiweddaraf am ddigwyddiadau a chystadlaethau seiberddiogelwch diweddaraf Prifysgol Caerdydd.
Cyhoeddiad
2024
- Williams, L., Anthi, E. and Burnap, P. 2024. A scalable and automated framework for tracking the likely adoption of emerging technologies. Information 15(4), article number: 237. (10.3390/info15040237)
- Williams, L., Anthi, E. and Burnap, P. 2024. Comparing hierarchical approaches to enhance supervised emotive text classification. Big Data and Cognitive Computing 8(4) (10.3390/bdcc8040038)
- Williams, L., Anthi, E., Cherdantseva, Y. and Javed, A. 2024. Leveraging gamification and game-based learning in cybersecurity education: Engaging and inspiring non-cyber students. Journal of The Colloquium for Information Systems Security Education
2021
- Anthi, E., Williams, L., Javed, A. and Burnap, P. 2021. Hardening machine learning Denial of Service (DoS) defences against adversarial attacks in IoT smart home networks. Computers and Security 108, article number: 102352. (10.1016/j.cose.2021.102352)
- Anthi, E., Williams, L., Rhode, M., Burnap, P. and Wedgbury, A. 2021. Adversarial attacks on machine learning cybersecurity defences in industrial control systems. Journal of Information Security and Applications 58, article number: 102717. (10.1016/j.jisa.2020.102717)
- Anthi, E., Williams, L., Burnap, P. and Jones, K. 2021. A three-tiered intrusion detection system for Industrial Control Systems (ICS). Journal of Cybersecurity 7(1), article number: tyab006. (10.1093/cybsec/tyab006)
2020
- Spasic, I., Williams, L. and Buerki, A. 2020. Idiom–based features in sentiment analysis: cutting the Gordian knot. IEEE Transactions on Affective Computing 11(2) (10.1109/TAFFC.2017.2777842)
2019
- Williams, L., Arribas-Ayllon, M., Artemiou, A. and Spasic, I. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36(3), pp. 619-648. (10.1007/s00357-019-9307-0)
- Anthi, E., Williams, L., Malgorzata, S., Theodorakopoulos, G. and Burnap, P. 2019. A supervised intrusion detection system for smart home IoT devices. IEEE Internet of Things 6(5), pp. 9042-9053. (10.1109/JIOT.2019.2926365)
2017
- Williams, L. 2017. Pushing the envelope of sentiment analysis beyond words and polarities. PhD Thesis, Cardiff University.
2015
- Williams, L., Bannister, C., Arribas-Ayllon, M., Preece, A. and Spasic, I. 2015. The role of idioms in sentiment analysis. Expert Systems with Applications 42(21), pp. 7375-7385. (10.1016/j.eswa.2015.05.039)
Articles
- Williams, L., Anthi, E. and Burnap, P. 2024. A scalable and automated framework for tracking the likely adoption of emerging technologies. Information 15(4), article number: 237. (10.3390/info15040237)
- Williams, L., Anthi, E. and Burnap, P. 2024. Comparing hierarchical approaches to enhance supervised emotive text classification. Big Data and Cognitive Computing 8(4) (10.3390/bdcc8040038)
- Williams, L., Anthi, E., Cherdantseva, Y. and Javed, A. 2024. Leveraging gamification and game-based learning in cybersecurity education: Engaging and inspiring non-cyber students. Journal of The Colloquium for Information Systems Security Education
- Anthi, E., Williams, L., Javed, A. and Burnap, P. 2021. Hardening machine learning Denial of Service (DoS) defences against adversarial attacks in IoT smart home networks. Computers and Security 108, article number: 102352. (10.1016/j.cose.2021.102352)
- Anthi, E., Williams, L., Rhode, M., Burnap, P. and Wedgbury, A. 2021. Adversarial attacks on machine learning cybersecurity defences in industrial control systems. Journal of Information Security and Applications 58, article number: 102717. (10.1016/j.jisa.2020.102717)
- Anthi, E., Williams, L., Burnap, P. and Jones, K. 2021. A three-tiered intrusion detection system for Industrial Control Systems (ICS). Journal of Cybersecurity 7(1), article number: tyab006. (10.1093/cybsec/tyab006)
- Spasic, I., Williams, L. and Buerki, A. 2020. Idiom–based features in sentiment analysis: cutting the Gordian knot. IEEE Transactions on Affective Computing 11(2) (10.1109/TAFFC.2017.2777842)
- Williams, L., Arribas-Ayllon, M., Artemiou, A. and Spasic, I. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36(3), pp. 619-648. (10.1007/s00357-019-9307-0)
- Anthi, E., Williams, L., Malgorzata, S., Theodorakopoulos, G. and Burnap, P. 2019. A supervised intrusion detection system for smart home IoT devices. IEEE Internet of Things 6(5), pp. 9042-9053. (10.1109/JIOT.2019.2926365)
- Williams, L., Bannister, C., Arribas-Ayllon, M., Preece, A. and Spasic, I. 2015. The role of idioms in sentiment analysis. Expert Systems with Applications 42(21), pp. 7375-7385. (10.1016/j.eswa.2015.05.039)
Thesis
- Williams, L. 2017. Pushing the envelope of sentiment analysis beyond words and polarities. PhD Thesis, Cardiff University.
Bywgraffiad
Rwy'n Ddarlithydd (~ Athro Cynorthwyol) yn yr Ysgol Cyfrifiadureg a Gwybodeg ym Mhrifysgol Caerdydd. Mae fy ngwaith yn canolbwyntio ar ddatblygu dulliau newydd o amddiffyn seiber awtomataidd. Yn benodol, mae fy niddordeb ar sut i gymhwyso technegau cloddio testun a dysgu peirianyddol mewn methodolegau amddiffyn.
Cyn hynny, roeddwn yn Gydymaith Ymchwil ym Mhrifysgol Caerdydd yn gweithio ar gyfer prosiectau Cyflymydd Hwb Discribe ac Arloesi Data.
Rwy'n gyd-sylfaenydd ac yn gweithredu fel arbenigwr gwybodaeth parth o QRLA®, busnes newydd a ffurfiwyd fel rhan o'r Hwb Arloesedd Seiber mewn cydweithrediad ag Alacrity.
