Yr Athro Pete Burnap

: Sylwebydd y cyfryngau

Timau a rolau for Pete Burnap

Athro Gwyddor Data a Seiberddiogelwch
Yr Ysgol Cyfrifiadureg a Gwybodeg

Rwy'n Athro Gwyddor Data a Seiberddiogelwch ym Mhrifysgol Caerdydd. Rwy'n gweithio ar groesffordd deallusrwydd artiffisial, seiberddiogelwch a risg digidol, gyda ffocws ar ddefnyddio AI yn ddiogel ac yn gyfrifol mewn amgylcheddau risg uchel a rheoledig. Rwy'n gweithio gyda byrddau, uwch swyddogion gweithredol ac arweinwyr sector cyhoeddus ar raglenni strategol sy'n gysylltiedig â llywodraethu AI, risg seiber a gwytnwch digidol.

Arweinyddiaeth Broffesiynol a Dinesig

Trwy gydol fy ngyrfa, rwyf wedi anelu at yrru arloesedd mewn ffyrdd sy'n cefnogi twf economaidd cynhwysol. Yn hytrach na dilyn llwybr academaidd confensiynol sy'n canolbwyntio ar allbynnau ymchwil yn unig, rwyf wedi cymhwyso fy arbenigedd yn gyson i fynd i'r afael â heriau systemig ar groesffordd technoleg, cymdeithas a gwytnwch cenedlaethol.

Adeiladu Gallu Ymchwil Cenedlaethol

Yn 2012, pan ddechreuais fy ngwaith academaidd ym Mhrifysgol Caerdydd, roedd ymchwil seiberddiogelwch yn weithgaredd bach a dameidiog, gyda dim ond llond llaw o ymchwilwyr ar draws y sefydliad. Gan gydnabod pwysigrwydd cenedlaethol cynyddol diogelwch digidol, cymerais y cyfrifoldeb o adeiladu cymuned ymchwil drawsddisgyblaethol a allai gefnogi anghenion y sector cyhoeddus a phreifat.

Fe wnes i sefydlu ac erbyn hyn arwain Canolfan Ymchwil Seiberddiogelwch Caerdydd, sydd ers hynny wedi tyfu i fod yn unig Ganolfan Ragoriaeth Academaidd Cymru mewn Ymchwil Seiberddiogelwch a gydnabyddir gan Ganolfan Seiberddiogelwch Genedlaethol y DU ac EPSRC. O dan fy arweinyddiaeth, mae'r Ganolfan bellach yn rhychwantu pum ysgol academaidd ar draws tri choleg ac yn cefnogi mwy na 50 o ymchwilwyr ac addysgwyr, gan greu gallu cenedlaethol cynaliadwy nad oedd yn bodoli yng Nghymru o'r blaen.

Cyfieithu Ymchwil i Fudd Cenedlaethol

Dros y degawd diwethaf, rwyf wedi arwain neu gyd-arwain oddeutu £40m mewn cyllid cystadleuol gan UKRI, y Llywodraeth a'r diwydiant. Er bod hyn yn cynrychioli llwyddiant academaidd sylweddol, credaf mai fy nghyfraniad gwahaniaethol yw cyfieithu'r ymchwil hon yn fwriadol i systemau gweithredol a budd y cyhoedd.

Cynhyrchodd fy ngwaith mewn amddiffyn seiber wedi'i alluogi gan AI y rhagfynegiad cyntaf o ymosodiad seiber o fewn eiliadau, technegau a oedd yn blocio ymosodiadau seiber yn weithredol a lleihau amgryptio ffeiliau ransomware hyd at 92%, a dulliau i ddiogelu systemau AI a ddefnyddir mewn seilwaith diogelwch. Mae'r arloesiadau hyn wedi cefnogi'n uniongyrchol sefydliadau sy'n gyfrifol am seilwaith cenedlaethol, gweithgynhyrchu a systemau ynni.

Mae fy ymchwil hefyd wedi siapio dealltwriaeth genedlaethol o lywodraethu a sicrwydd AI, gan ddangos y gall modelau sy'n perfformio'n dda mewn lleoliadau labordy fethu mewn amodau byd go iawn a gallantfod ar nodweddion cudd neu anfwriadol wrth wneud penderfyniadau. Mae'r gwaith hwn wedi llywio arfer gorau mewn rheoli risg a defnyddio AI cyfrifol.

Trochi Diwydiant ac Effaith Weithredol

Er mwyn sicrhau bod fy ngwaith yn mynd i'r afael â heriau yn y byd go iawn, dewisais gamu y tu hwnt i'r byd academaidd ac ymgolli yn y diwydiant. Treuliais chwe blynedd wedi'i ymgorffori yn Airbus trwy secondiad tymor hir, lle arweiniais raglen AI ar gyfer arloesi seiber gwerth miliynau ewro ledled Ewrop.

Yn ystod y cyfnod hwn, sefydlais Ganolfan Ragoriaeth fyd-eang Airbus mewn Dadansoddeg Seiberddiogelwch ym Mhrifysgol Caerdydd a chyfieithais ymchwil academaidd i offer gweithredol a ddefnyddir o fewn sefydliad rhyngwladol mawr. Mae'r cydweithrediad hwn yn sail i achos effaith REF 4* ac mae wedi cael ei nodi'n genedlaethol fel model ar gyfer partneriaeth academaidd-diwydiant effeithiol.

Creu Peiriant Arloesi Cenedlaethol

Gan adeiladu ar y profiad hwn, cydnabais broblem systemig ehangach: ymchwil gyda gwerth cymdeithasol a diwydiannol clir yn aml yn methu â chyrraedd y farchnad oherwydd diffyg arweinyddiaeth fasnachol a chefnogaeth gydgysylltiedig.

Er mwyn mynd i'r afael â'r cyfyngiad hwn, yn 2022, sefydlais Hwb Arloesi Seiber Cymru (CIH), rhaglen gyhoeddus-breifat gwerth £13.9m a ariennir gan Lywodraeth Cymru a Phrifddinas-Ranbarth Caerdydd. Mae CIH yn dwyn ynghyd y byd academaidd, diwydiant a'r Llywodraeth o fewn un fframwaith llywodraethu, gan greu llwybr unigryw yn genedlaethol sy'n cysylltu ymchwil, heriau'r diwydiant ac entrepreneuriaid graddedig a ariennir i adeiladu busnesau newydd seiber ac artiffisial newydd sydd wedi'u gwreiddio yng Nghymru.

Trwy CIH, mae cannoedd o unigolion wedi cael mynediad at lwybrau newydd i yrfaoedd digidol, gan gynnwys pobl o gefndiroedd sydd wedi'u tangynrychioli a'r rhai sy'n ailsgilio o sectorau sy'n dirywio. Mae busnesau newydd wedi'u creu, buddsoddiad preifat wedi'i ddenu, ac mae clwstwr seiber rhanbarthol cynaliadwy wedi dechrau dod i'r amlwg. Mae'r gwaith hwn yn cynrychioli cyfraniad sylweddol at adfywio rhanbarthol a gwytnwch digidol cenedlaethol.

Arweinyddiaeth Polisi Cenedlaethol

Mae fy arbenigedd a'm harweinyddiaeth ddinesig wedi cael eu cydnabod ar lefel genedlaethol. Cefais fy mhenodi i Gyngor AI Llywodraeth y DU, lle roeddwn i'n cynghori ar ddatblygu strategaeth AI genedlaethol gyntaf y DU, gan ddylanwadu ar fuddsoddiad cyhoeddus hirdymor a chyfeiriad polisi.

Ar hyn o bryd rwy'n cadeirio Tîm Cynghori Strategol Diogelwch a Gwydnwch Digidol EPSRC, sy'n llunio blaenoriaethau ymchwil cenedlaethol a chyllid mewn meysydd sy'n hanfodol i ddiogelwch a dyfodol economaidd y DU.

Bwrdd, Llywodraethu ac Entrepreneuriaeth

Rwy'n Gyfarwyddwr Bwrdd a Chyd-sylfaenydd Nisien, cwmni diogelwch ar-lein a gefnogir gan VC sy'n cyfieithu ymchwil a ariennir gan y cyhoedd i lwyfannau masnachol sy'n canfod a lliniaru niwed ar-lein.

Rwyf hefyd yn gwasanaethu fel Cyfarwyddwr Anweithredol Business in Focus Ltd, gan gefnogi menter, arloesi a datblygu economaidd ledled Cymru.

Mae gen i Dystysgrif Sefydliad y Cyfarwyddwyr mewn Cyfarwyddyd Cwmni, sy'n adlewyrchu fy ymrwymiad i lywodraethu effeithiol ac ymarfer bwrdd.

Arweinyddiaeth Ddinesig

Ar draws pob un o'r rolau hyn, rwyf wedi anelu at gymhwyso fy arbenigedd i wasanaethu cymdeithas ehangach. Mae fy ngwaith wedi cryfhau gwytnwch digidol cenedlaethol, cefnogi twf economaidd, creu cyfleoedd i eraill, a dangos sut y gall prifysgolion weithredu fel angori dinesig ar gyfer arloesi a gwerth cyhoeddus.

Mae fy mhrofiad o gefnogi'r llywodraeth wrth ddylunio strategaethau AI a seiber cenedlaethol a rhanbarthol ac ecosystemau arloesi yn galluogi sefydliadau i alinio uchelgais technolegol ag ymddiriedaeth gymdeithasol, parodrwydd rheoleiddiol a gwytnwch hirdymor.

Ffocws Bwrdd a Chynghori

Llywodraethu AI • Goruchwyliaeth risg seiber • Gwytnwch digidol • Sectorau rheoledig • Arloesi cyhoeddus-preifat • Defnyddio AI dibynadwy

Date
Type

2026

Sands, E. et al. 2026. Agency vs. Automation: investigating “Human-in-the-loop” preferences in military-adjacent AI adoption. Presented at: 28th International Conference on Human-Computer Interaction Montreal, Canada 26 - 31 July 2026. Published in: Stephanidis, C. et al., HCI International 2026 Posters 28th International Conference on Human-Computer Interaction, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part VI. Vol. 3052.Communications in Computer and Information Science Cham, Switzerland: Springer Nature. , pp.422-430. (10.1007/978-3-032-30836-8_43)
Maynard, P. et al. 2026. Consistent and compatible modelling of cyber intrusions and incident response demonstrated in the context of malware attacks on critical infrastructure. Journal of Cybersecurity and Privacy 6 (4) 109. (10.3390/jcp6040109)
Ieropoulos, V. et al. 2026. Federated detection at the edge: collaborative anomaly detection for resource-limited IoT. IEEE Internet of Things Journal 13 (11), pp.24205-24218. (10.1109/JIOT.2026.3674644)
Vyas, S. et al. 2026. Beyond training-time poisoning: Component-level and post-training backdoors in deep reinforcement learning. Presented at: AAAI Conference on Artificial Intelligence Conference Singapore 20-27 January 2026. Vol. 40.Proceedings of the AAAI Conference on Artificial Intelligence Vol. 31. Washington DC, USA: AAAI Press. , pp.26072-26080. (10.1609/aaai.v40i31.39809)

2017

Williams, M. L. et al. 2017. Users' views of ethics in social media research: informed consent, anonymity and harm. In: Woodfield, K. ed. The Ethics of Online Research. Vol. 2, Advances in Research Ethics and Integrity Emerald Publishing. , pp.27-52. (10.1108/S2398-601820180000002002)
Williams, M. L. , Burnap, P. and Sloan, L. 2017. Towards an ethical framework for publishing Twitter data in social research: taking into account users’ views, online context and algorithmic estimation. Sociology 51 (6), pp.1149-1168. (10.1177/0038038517708140)
Thomas, L. et al. 2017. Automation of the supplier role in the GB power system using blockchain based smart contracts. CIRED - Open Access Proceedings Journal 2017 (1), pp.2619-2623. (10.1049/oap-cired.2017.0987)
Burnap, P. et al. 2017. Multi-class machine classification of suicide-related communication on Twitter. Online Social Networks and Media 2 , pp.32-44. (10.1016/j.osnem.2017.08.001)
Webb, H. et al., 2017. The ethical challenges of publishing Twitter data for research dissemination. Presented at: WebSci'17: ACM Web Science Conference Troy, NY, USA 25-28 June 2017. Proceedings of the 2017 ACM on Web Science Conference. ACM. , pp.339-348. (10.1145/3091478.3091489)
Baylis, R. et al. 2017. Private lenders' demand for audit. Journal of Accounting and Economics 64 (1), pp.78-97. (10.1016/j.jacceco.2017.06.001)
Alsaedi, N. , Burnap, P. and Rana, O. 2017. Can we predict a riot? Disruptive event detection using Twitter. ACM Transactions on Internet Technology 17 (2) 18. (10.1145/2996183)
Eden, P. et al., 2017. SCADA system forensic analysis within IIoT. In: Thames, L. and Schaefer, D. eds. Cybersecurity for Industry 4.0: Analysis for Design and Manufacturing. Springer Series in Advanced Manufacturing , pp.73-101. (10.1007/978-3-319-50660-9_4)
Burnap, P. et al. 2017. Determining and sharing risk data in distributed interdependent systems. IEEE Computer 50 (4), pp.72-79. (10.1109/MC.2017.108)
Williams, M. L. , Burnap, P. and Sloan, L. 2017. Crime sensing with big data: the affordances and limitations of using open-source communications to estimate crime patterns. British Journal of Criminology 57 (2), pp.320-340. (10.1093/bjc/azw031)
Alsaedi, N. , Burnap, P. and Rana, O. F. 2017. Temporal TF-IDF: a high performance approach for event summarization in Twitter. Presented at: IEEE/WIC/ACM International Conference on Web Intelligence Omaha, Nebraska, USA 13-16 October 2016. 2016 IEEE/WIC/ACM International Conference on Web Intelligence. IEEE. , pp.515-521. (10.1109/WI.2016.0087)
Alsaedi, N. , Burnap, P. and Rana, O. F. 2017. Sensing real-world events using social media data and a classification-clustering framework. Presented at: IEEE/WIC/ACM International Conference on Web Intelligence Omaha, Nebraska, USA 13-16 October 2016. 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI). IEEE. , pp.216-223. (10.1109/WI.2016.0039)
Thomas, L. et al. 2017. Automation of the supplier role in the GB power system using blockchain based smart contracts. Presented at: CIRED 2017 - International Conference on Electricity Distribution Glasgow, UK 12-15 June 2017.
Williams, M. L. and Burnap, P. 2017. Detecting crime events using social media. Presented at: Home Office Crime and Policing Analysis Unit Seminar Series Westminster, London, UK July, 2017. , pp.-.
Burnap, P. and Williams, M. L. 2017. Classifying and modeling cyber hate speech: research and opportunities for practical intervention. Presented at: 1st International Conference on Cyber Deviance Detection (CyberDD) in conjunction with 10th ACM International Conference on Web Search and Data Mining (WSDM 2017) Cambridge, UK 10 Feb 2017.
Williams, M. and Burnap, P. 2017. Online extremism and hate speech: definition, measurement & regulation. Presented at: Internet Leadership Academy Oxford Internet Institute, University of Oxford, UK 26 September 2017.
Williams, M. L. and Burnap, P. 2017. Data science solutions for detecting and monitoring Brexit related online hate speech. Presented at: UK Government Data Science Community Interest Workshop ONS Data Science Campus, Newport, Wales, UK 4 September 2017.
Williams, M. L. and Burnap, P. 2017. Social data science & criminology: machine classification and modelling of cyberhate in online social networks. Presented at: Cambridge Institute of Criminology Seminar Series University of Cambridge, UK 9 February 2017.

2016

Scourfield, J. B. et al. 2016. The response in Twitter to an assisted suicide in a television soap opera. Crisis: The Journal of Crisis Intervention and Suicide Prevention 37 (5), pp.392-395. (10.1027/0227-5910/a000377)
Burnap, P. and Williams, M. L. 2016. Computational human and cyber security analytics for government and policy. Presented at: Data Science and Government Conference Oxford, UK 22 June 2016.
Webb, H. et al., 2016. Digital wildfires: propagation, verification, regulation, and responsible innovation. ACM Transactions on Information Systems 34 (3) 15. (10.1145/2893478)
Alsaedi, N. , Burnap, P. and Rana, O. F. 2016. Automatic summarization of real world events using Twitter. Presented at: International AAAI Conference on Web and Social Media (ICWSM) Cologne, Germany 17-20 May 2016. Proceedings of the Tenth International AAAI Confe. AAAI. , pp.511-514.
Alsaedi, N. , Burnap, P. and Rana, O. F. 2016. Sensing real-world events using Arabic Twitter posts. Presented at: International AAAI Conference on Web and Social Media (ICWSM) Cologne, Germany 17-20 May 2016. Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016). AAAI. , pp.515-518.
Williams, M. L. and Burnap, P. 2016. Cyberhate on social media in the aftermath of Woolwich: a case study in computational criminology and big data. British Journal of Criminology 56 (2), pp.211-238. (10.1093/bjc/azv059)
Awan, M. S. K. , Burnap, P. and Rana, O. F. 2016. Identifying cyber risk hotspots: A framework for measuring temporal variance in computer network risk. Computers and Security 57 , pp.31-46. (10.1016/j.cose.2015.11.003)
Burnap, P. et al. 2016. 140 characters to victory?: Using Twitter to predict the UK 2015 General Election. Electoral Studies 41 , pp.230-233. (10.1016/j.electstud.2015.11.017)
Cherdantseva, Y. et al. 2016. A review of cyber security risk assessment methods for SCADA systems. Computers and Security 56 , pp.1-27. (10.1016/j.cose.2015.09.009)
Conejero, J. et al., 2016. Analysing Hadoop power consumption and impact on application QoS. Future Generation Computer Systems 55 , pp.213-223. (10.1016/j.future.2015.03.009)
Burnap, P. and Williams, M. L. 2016. Us and them: identifying cyber hate on Twitter across multiple protected characteristics. EPJ Data Science 5 11. (10.1140/epjds/s13688-016-0072-6)
Eden, P. et al., 2016. Forensic readiness for SCADA/ICS incident response. Presented at: 4th International Symposium for ICS & SCADA Cyber Security Research Queen's University Belfast, Belfast, UK 23-25 August 2016.

2015

Burnap, P. , Colombo, G. and Scourfield, J. B. 2015. Machine classification and analysis of suicide-related communication on Twitter. Presented at: 26th ACM Conference on Hypertext & Social Media Cyprus 1-4 September 2015. HT '15- Proceedings of the 26th ACM Conference on Hypertext & Social Media. Association for Computing Machinery. , pp.75-84.
Webb, H. et al., 2015. Digital wildfires: hyper-connectivity, havoc, and a global ethos to govern social media. Computers and Society 45 (3), pp.193-201.
Alsaedi, N. , Burnap, P. and Rana, O. F. 2015. Identifying disruptive events from social media to enhance situational awareness. Presented at: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Paris, France 24-27 August 2015. ASONAM '15 Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. ACM. , pp.934-941. (10.1145/2808797.2808879)
Burnap, P. et al. 2015. Real-time classification of malicious URLs on Twitter using Machine Activity Data. Presented at: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Paris, France 25-27 August 2015. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). ACM. , pp.970-977. (10.1145/2808797.2809281)
Williams, M. L. and Burnap, P. 2015. Combating cyber-hate on social media throughcounter-speech. Presented at: Symposium on Anti-Muslim Hate Crime University of Cambridge, Cambridge, UK 16 June 2015.
Burnap, P. and Williams, M. L. 2015. Cyber hate speech on Twitter: An application of machine classification and statistical modeling for policy and decision making. Policy & Internet 7 (2), pp.223-242. (10.1002/poi3.85)
Alsaedi, N. and Burnap, P. 2015. Arabic event detection in social media. Presented at: 16th International Conference on Intelligent Text Processing and Computational Linguistics Cairo, Egypt 14-20 April 2015. Published in: Gelbukh, A. ed. Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I. Vol. 9041.Lecture Notes in Computer Science Springer Verlag. , pp.384-401. (10.1007/978-3-319-18111-0_29)
Burnap, P. and Williams, M. L. 2015. Cyber hate speech on Twitter: an application of machine classification and statistical modeling for policy and decision making. Presented at: ICWSM Workshop on Religion and Social Media University of Oxford, Oxford, UK 26 May 2015.
Williams, M. L. and Burnap, P. 2015. Cyber-hate on social media in the aftermath of Woolwich. Presented at: Government Hate Crime Seminar London, UK 11 March 2015.
Sloan, L. et al. 2015. Who tweets? Deriving the demographic characteristics of age, occupation and social class from Twitter user meta-data. PLoS ONE 10 (3) e0115545. (10.1371/journal.pone.0115545)
Colombo, G. B. et al. 2015. Analysing the connectivity and communication of suicidal users on Twitter. Computer Communications 73 (B), pp.291-300. (10.1016/j.comcom.2015.07.018)
Al Said, T. , Rana, O. F. and Burnap, P. 2015. VMInformant: an instrumented virtual machine to support trustworthy cloud computing. International Journal of High Performance Computing and Networking 8 (3), pp.222-234. IJHPCN080303. (10.1504/IJHPCN.2015.071257)
Awan, M. , Burnap, P. and Rana, O. F. 2015. An empirical risk management framework for monitoring network security. Presented at: IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), Liverpool, UK 26-28 October 2015. Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on. IEEE. , pp.1764-1771. (10.1109/CIT/IUCC/DASC/PICOM.2015.266)
Awan, M. S. K. et al. 2015. A classification framework for distinct cyber-attacks based on occurrence patterns. Presented at: The 9th International Conference on Security of Information and Networks Soch, Russia 8-10 September 2015. Proceedings of the 8th International Conference on Security of Information and Networks. ACM. , pp.165-168. (10.1145/2799979.2800037)
Awan, M. S. K. et al. 2015. Continuous monitoring and assessment of cybersecurity risks in large computing infrastructures. Presented at: 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on High Performance Computing and Communications (HPCC New York City, NY, USA 24-26 August 2015. High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on. IEEE. , pp.1442-1447. (10.1109/HPCC-CSS-ICESS.2015.224)
Awan, M. S. , Burnap, P. and Rana, O. F. 2015. Estimating risk boundaries for persistent and stealthy cyber-attacks. Presented at: 22nd ACM Conference on Computer and Communications Security Denver Colorado, USA 12-16 October 2015. SafeConfig '15 Proceedings of the 2015 Workshop on Automated Decision Making for Active Cyber Defense. ACM. , pp.15-20. (10.1145/2809826.2809830)
Burnap, P. et al. 2015. 140 characters to victory?: Using Twitter to predict the UK 2015 General Election. Working paper. Cardiff University.
Burnap, P. et al. 2015. COSMOS: Towards an integrated and scalable service for analysing social media on demand. International Journal of Parallel, Emergent and Distributed Systems 30 (2), pp.80-100. (10.1080/17445760.2014.902057)
Burnap, P. et al. 2015. Detecting tension in online communities with computational Twitter analysis. Technological Forecasting & Social Change 95 , pp.96-108. (10.1016/j.techfore.2013.04.013)
Burnap, P. and Williams, M. L. 2015. Plenary: Computational & social security analytics using Big Data. Presented at: International Conference on Computational Social Science Helsinki, Finland 8-11 June 2015.
Eden, P. et al., 2015. A cyber forensic taxonomy for SCADA systems in critical infrastructure. Presented at: The 10th International Conference on Critical Information Infrastructures Security 2015 (CRITIS 2015) Berlin, Germany 5-7 October 2015.
Eden, P. et al., 2015. A forensic taxonomy of SCADA systems and approach to incident response. Presented at: The 3rd International Symposium for ICS and SCADA Cyber Security Research 2015 (ICS-CSR 2015) Ingolstadt, Germany 17 - 18 September 2015. (10.14236/ewic/ICS2015.5)
Rahulamathavan, Y. et al., 2015. Assessing data breach risk in cloud systems. Presented at: 7th International Conference on Cloud Computing Technology and Science (CloudCom) Vancouver, BC, Canada 30 Nov-3 Dec 2015. 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom). IEEE. , pp.363-370. (10.1109/CloudCom.2015.58)
Williams, M. L. and Burnap, P. 2015. Economic and Social Research Council Trans-Atlantic Platform Workshop. Presented at: Digital Scholarship in the Social Sciences and Humanities: New Forms of Data for Research Washington DC, USA 28-29 Jan 2015.
Williams, M. L. and Burnap, P. 2015. Using big social data and real-time analytics to inform policy. Presented at: Policy-Making in the Big Data Era: Opportunities and Challenges University of Cambridge, Cambridge, UK 15-17 June 2015.

2014

Burnap, P. et al. 2014. Towards real-time probabilistic risk assessment by sensing disruptive events from streamed news feeds. Presented at: 8th IEEE International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2014) Birmingham City University, Birmingham, UK. 2-4 July 2014. 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems. IEEE. , pp.608-613. (10.1109/CISIS.2014.87)
Sloan, L. , Williams, M. L. and Burnap, P. 2014. Deriving demographic variables from twitter data. Presented at: Office for National Statistics Big Data Project Workshop Titchfield, England 21 July 2014. , pp.-.
Williams, M. L. and Burnap, P. 2014. Hate speech, tension monitoring and social media. Presented at: Wales Hate Crime Criminal Justice Board Cardiff, Wales 23 July 2014. , pp.-.
Burnap, P. et al. 2014. Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack. Social Network Analysis and Mining 4 206. (10.1007/s13278-014-0206-4)
Alsaedi, N. , Burnap, P. and Rana, O. F. 2014. A combined classification-clustering framework for identifying disruptive events. Presented at: ASE SocialCom Conference Stanford University, CA., USA May 27-21 2014.
Burnap, P. and Williams, M. L. 2014. Big social data analysis panel. Presented at: Web Science Trust Web Science Summer School National University of Singapore, Singapore, Malaysia 8-12 December 2014.
Burnap, P. and Williams, M. L. 2014. Hate speech, machine classification and statistical modelling of information flows on Twitter: interpretation and communication for policy decision making. Presented at: Internet, Policy & Politics Oxford, UK 26 September 2014.
Housley, W. et al. 2014. Big and broad social data and the sociological imagination: a collaborative response. Big Data & Society 1 (2)(10.1177/2053951714545135)
Rahulamathavan, Y. et al., 2014. Analysing security requirements in cloud-based service level agreements. Presented at: SIN '14 The 7th International Conference on Security of Information and Networks Glasgow 9 - 11 September 2014. Proceedings of the 7th International Conference on Security of Information and Networks. New York, NY: ACM. , pp.73-77. (10.1145/2659651.2659735)
Williams, M. and Burnap, P. L. 2014. Human security analytics. Presented at: Web Science Trust Web Science Summer School National University of Singapore, Singapore, Malaysia 8-12 December 2014.

2013

Burnap, P. , Avis, N. J. and Rana, O. F. 2013. Making sense of self-reported socially significant data using computational methods. International Journal of Social Research Methodology 16 (3), pp.215-230. (10.1080/13645579.2013.774174)
Burnap, P. et al. 2013. Collaborative online social media observatory. Presented at: Web Observatory Launch, Royal Society London, UK 2013.
Burnap, P. et al. 2013. Detecting tension in social media. Presented at: Third International Conference on Social Computing and its Applications Karlsruhe, Germany 30 Sept - 2 Oct 2013.
Conejero, J. et al., 2013. Scaling archived social media data analysis using a hadoop cloud. Presented at: IEEE 6th International Conference on Cloud Computing (CLOUD) Santa Clara, CA, USA 27 June - 2 July 2013. IEEE
Conejero, J. et al., 2013. Characterising the power consumption of Hadoop Clouds: A social media analysis case study. Presented at: CLOSER 2013: 3rd International Conference on Cloud Computing and Services Science Aachen, Germany 8-10 May 2013. (10.5220/0004373502330243)
Housley, W. et al. 2013. COSMOS: theory, method and data. Presented at: Centre for Interdisciplinary Methodologies, University of Warwick Warwick, UK 2013.
Rob, P. et al., 2013. Enabling social media research through citizen social science. Presented at: 13th European Conference on Computer Supported Cooperative Work Paphos, Cyprus 21-25 September 2013.
Sloan, L. et al. 2013. Knowing the Tweeters: Deriving sociologically relevant demographics from Twitter. Sociological Research Online 18 (3) 7. (10.5153/sro.3001)
Sloan, L. et al. 2013. The Collaborative Online Social Media Observatory. Presented at: ESRC Seminar Series: New Social Media, New Social Science? Blurring the Boundaries: One Year On London, UK 2013.
Sloan, L. et al. 2013. Using social media with survey data. Presented at: ESRC Seminar Series: New Social Media, New Social Science? London, UK 2013.
Williams, M. L. et al. 2013. Policing cyber-neighbourhoods: Tension monitoring and social media networks. Policing and Society 23 (4), pp.461-481. (10.1080/10439463.2013.780225)
Williams, M. L. et al. 2013. Collaborative online social media observatory. Presented at: COSMOS Launch London, England 2013.

2012

Spasic, I. et al. 2012. A naïve Bayes approach to classifying topics in suicide notes. Biomedical Informatics Insights 5 (Supp 1), pp.87-97. (10.4137/BII.S8945)
Burnap, P. et al. 2012. Social media analysis, Twitter and the London Olympics (a research note). Working paper. Cardiff: Cardiff University.
Burnap, P. et al. 2012. Working paper 153: social media analysis, Twitter and the London Olympics 2012 [working paper]. Working paper. Cardiff: School of Social Sciences, Cardiff University. Available at: http://www.cardiff.ac.uk/socsi/resources/Working%20Paper%20153%20-%20Burnap%20et%20al.%20(2013)%20Social%20Media%20Analysis,%20Twitter%20and%20the%20London%20Olympics%202012%20-%20A%20Research%20Note.pdf.
Burnap, P. et al. 2012. Protecting patient privacy in distributed collaborative healthcare environments by retaining access control of shared information. Presented at: 2012 International Conference on Collaboration Technologies and Systems (CTS) Denver, CO, USA 21-25 May 2012. Published in: Smari, W. W. and Charles, F. eds. 2012 International Conference on Collaboration Technologies and Systems (CTS). Vol. 14.Los Alamitos, CA: IEEE. , pp.490-497. (10.1109/CTS.2012.6261095)
Edwards, A. M. et al. 2012. Mining tension and cohesion using the Cardiff Online Social Media Observatory. Presented at: NCRM, Research Methods Festival,St Catherine's College, University of Oxford Oxford, UK 2012.
Housley, W. et al. 2012. Supporting empirical digital social research for the social sciences. Presented at: Digital Research 2012 Conference, St Catherines College, University of Oxford Oxford, UK 2012.
Williams, M. D. et al. 2012. Computational social science and methodological innovation: surrogacy, augmentation or reorientation. Presented at: ESRC Seminar Series: Blurring the boundaries: New social media, new social science? London, UK 2012.
Williams, M. L. et al. 2012. Treating social media as data: computational sociological Methods, data analysis and the Cardiff online social media Observatory. Presented at: NCRM, Research Methods Festival, St Catherine's College, University of Oxford Oxford, UK 2012.
Williams, M. L. et al. 2012. Computational and transformational social science. Presented at: Digital Social Research Experts Meeting, Keble College, University of Oxford Oxford, UK 2012.

2010

Alsalamah, S. , Hilton, J. C. and Burnap, P. 2010. Towards information sharing in virtual organisations: The development of an icon-based information control model. Presented at: The UK All Hands Meeting (AHM) Cardiff, UK 13- 16 September 2010.

2009

Burnap, P. 2009. Advanced access control in support and distributed collaborative working and de-perimeterization. PhD Thesis , Cardiff University.
Burnap, P. and Hilton, J. C. 2009. Self protecting data for de-perimeterised information sharing. Presented at: Third International Conference on Digital Society ICDS '09 Cancun, Mexico 1-7 February 2009. Digital Society, 2009. ICDS '09. Third International Conference on. IEEE. , pp.65-70. (10.1109/ICDS.2009.41)

2008

Burnap, P. and Hilton, J. C. 2008. Information assurance for collaborative working in deperimeterised environments. Presented at: UK e-Science All Hands Meeting Edinburgh, UK 8-11 September 2008.

2006

Gray, W. A. et al. 2006. MDSSF - A Federated Architecture for Product Procurement. Lecture Notes in Computer Science 4080 , pp.812-821. (10.1007/11827405_79)
Pahwa, J. S. et al. 2006. MDSSF- A federated architecture for product procurement. Presented at: 17th International Conference on Database and Expert Systems Applications (DEXA '06) Krakov, Poland

2005

Burnap, P. et al. 2005. Worldwide messaging support for high performance real-time collaboration. Presented at: 4th UK e-Science Programme All Hands Meeting Nottingham, UK 19-22 September 2005. Published in: Cox, S. J. and Walker, D. W. eds. Proceedings of the 4th UK e-Science Programme All Hands Meeting. Swindon: EPSRC. , pp.395.
Burnap, P. et al. 2005. A service oriented infrastructure to facilitate trust in collaborative working. Presented at: 4th UK e-Science Programme All Hands Meeting Nottingham, UK 19-22 September 2005. Published in: Cox, S. J. and Walker, D. W. eds. Proceedings of the 4th UK e-Science Programme All Hands Meeting. Swindon: EPSRC. , pp.346.
Burnap, P. et al. 2005. Grid based E-procurement. Proceedings of the ASCE , pp.1-11. (10.1061/40794(179)156)
Rana, O. F. et al. 2005. Secure virtual organisations: Protocols and requirements. Presented at: Information Security Solutions Europe (ISSE) 2005 - The Independent European ICT Security Conference and Exhibition Budapest, Hungary 27-29 September 2005. Published in: Paulus, S. , Pohlmann, N. and Reimer, H. eds. ISSE 2005 - Securing Electronic Business Processes: Highlights of the Information Security Solutions Europe 2005 Conference. Berlin: Springer. , pp.422-432.

2004

Burnap, P. et al. 2004. Security user and data management for collaborative virtual teams in a grid environment supporting consortia in the construction industry. Presented at: Proceedings of the Workshop on Requirements Capture for Collaboration in e-Science Edinburgh, UK, pp.54-60.
Joita, L. et al. 2004. Supporting collaborative virtual organisations in the construction industry via the grid. Presented at: UK e-Science all Hands Meeting (AHM2004) Nottingham, UK 31 August - 3 September 2004. Published in: Cox, S. J. ed. Proceedings of the 4th UK e-Science Programme All Hands Meeting. Swindon: EPSRC
Joita, L. et al. 2004. A grid-enabled security framework for collaborative virtual organisations. Presented at: 5th IFIP Working Conference on Virtual Enterprises (PRO-VE) Toulouse, France 22-27 August 2004.
Joita, L. et al. 2004. A grid enabled security framework for collaborative virtual organisations. Presented at: Proceedings of Virtual Enterprises and Collaborative Networks IFIP 18th World Computer congressTC5/WG5.5 5th Working Conference on Virtual Enterprises Toulouse, UK, pp.22-27.
Miles, J. C. et al. 2004. Collaborative engineering Virtual Teams in a Grid Environment Supporting Consortia in the Construction Industry. Presented at: 10th International Conference on Computing in Civil and Building Engineering (ICCCBE) Weimar, Germany 2-4 June 2004.
Pahwa, J. S. et al. 2004. Creating a virtual distributed database - data definition and search model for collaborative virtual teams in the construction industry. Presented at: Proceedings 21st Annual British National Conference on Databases (BNCOD2004) Edinburgh, UK

Research interests include:

Social Media Analysis: Developing new algorithms and implementing computational analysis tools (often informed by social theory) to better understand online social interaction and behaviour;
Supporting Decision Making: Building systems to support intelligence gathering, risk assessment, and decision making - "extracting knowledge from data";
Big Data and Text Mining: Collation, storage and analysis of text information and massive datasets ("Big Data") using natural language processing, pattern matching and machine learning techniques;
Information Security: Developing methods to better understand the behaviour, spread and evolution of malicious software, informing policy requirements, and building secure information sharing technology;
Distributed systems: Building secure and distributed information sharing and retrieval systems.

Goruchwyliaeth gyfredol

Iryna Bernyk

Miah-George Thompson

Vasilis Ieropoulos

Sanyam Vyas

Sam Braithwaite

Yn ddiweddar, cyfarfu'r Ysgrifennydd Gwladol dros Wyddoniaeth, Arloesi a Thechnoleg, Liz Kendall AS, ag arloeswyr digidol blaenllaw ym Mhrifysgol Caerdydd.

Ymweliad â Phrifysgol Caerdydd gan uwch-weinidogion Llywodraeth y DU a Chymru i wybod rhagor am DA blaengar a seiberddiogelwch arloesol

02 December 2025

Yn ddiweddar, cyfarfu'r Ysgrifennydd Gwladol dros Wyddoniaeth, Arloesi a Thechnoleg, Liz Kendall AS, ag arloeswyr digidol blaenllaw ym Mhrifysgol Caerdydd.