Anagnostou
dr anastasia anagnostou is a senior lecturer in the department of computer science at brunel university london and the co-lead of the modelling & simulation group (msg). she is also member of the intelligent data analytics (ida) group. she holds a phd in distributed modelling & simulation, an msc in telemedicine and e-health systems and a bsc(hons) in electronic engineering. her research interests lie in the areas of advanced computing infrastructures for modelling and simulation, open science for simulation, hybrid distributed simulation and modelling and simulation for healthcare and industrial applications. since 2011, she has been involved in several interdisciplinary research projects with stakeholders from industry and academia across manufacturing, healthcare, defence and food supply chains. she has also worked in africa helping to develop digital infrastructures and collaborative services enabling open science. she is co-chair for the or society’s simulation workshop (sw21) and member of organising committees for international conferences sponsored by the ieee and acm/sigsim. she has been awarded horizon 2020 funding for a 9.5 million euro project (brunel contribution €370k) entitled “demonstration of intelligent decision support for pandemic crisis prediction and management within and across european borders” (stamina). modelling and simulation, distributed simulation, cloud computing, open science, e-infrastructures, healthcare systems, internet of things cs2005 networks and operating systems (module leader) cs2001 level 2 group project cs2555 work placement cs3004 network computing cs3072-3605 computer science/business computing final-year projects cs5601 enterprise modelling (module reviewer) i also taught: introduction to programming, business analysis and process modelling, systems project management, erp systems theory and practise, erp systems deployment and configuration and sap erp integration of business processes certification course (terp-10).
![Dr Anastasia Anagnostou]()
Dr Anastasia Anagnostou
Dr Anastasia Anagnostou is a Senior Lecturer in the Department of Computer Science at Brunel University London and the co-lead of the Modelling & Simulation Group (MSG). She is also member of the Intelligent Data Analytics (IDA) Group. She holds a PhD in Distributed Modelling & Simulation, an MSc in Telemedicine and e-Health Systems and a BSc(Hons) in Electronic Engineering. Her research interests lie in the areas of Advanced Computing Infrastructures for Modelling and Simulation, Open Science for Simulation, Hybrid Distributed Simulation and Modelling and Simulation for Healthcare and Industrial Applications. Since 2011, she has been involved in several interdisciplinary research projects with stakeholders from industry and academia across manufacturing, healthcare, defence and food supply chains. She has also worked in Africa helping to develop digital infrastructures and collaborative services enabling open science. She is co-chair for the OR Society’s Simulation Workshop (SW21) and member of organising committees for international conferences sponsored by the IEEE and ACM/SIGSIM. She has been awarded Horizon 2020 funding for a 9.5 million Euro project (Brunel contribution €370K) entitled “Demonstration of intelligent decision support for pandemic crisis prediction and management within and across European borders” (STAMINA). Modelling and Simulation, Distributed Simulation, Cloud Computing, Open Science, e-Infrastructures, Healthcare Systems, Internet of Things CS2005 Networks and Operating Systems (Module Leader) CS2001 Level 2 Group Project CS2555 Work Placement CS3004 Network Computing CS3072-3605 Computer Science/Business Computing Final-Year Projects CS5601 Enterprise Modelling (Module reviewer) I also taught: Introduction to Programming, Business Analysis and Process Modelling, Systems Project Management, ERP Systems Theory and Practise, ERP Systems Deployment and Configuration and SAP ERP Integration of Business Processes Certification Course (TERP-10).
Prunty
mellissa was the divisional lead for occupational therapy at brunel university london until november 2024. she is a children's occupational therapist by background. she qualified from the msc (pre-reg) programme at glasgow caledonian university in 2010. she previously completed a bsc (hons) in kinesiology at memorial university of newfoundland in canada, while on athletic scholarship for women’s basketball. she completed her phd on handwriting difficulties in children with developmental coordination disorder (dcd), which she undertook at oxford brookes university under the supervision of prof. anna barnett, dr. mandy plumb and dr. kate wilmut. mellissa has worked in a variety of childrens' services and specialises in working with children with coordination difficulties. she founded the kidspace children's occupational therapy research clinic at the university which investigates key skills and participation in childhood including handwriting, activities of daily living and cycling. the clinic currently offers placements to occupational therapy students at the university. separate to this mellissa co-led the development of wheelchair basketball and disability sport on campus. she has organised a series of inter-professional training days for health care students and has incorporated wheelchair basketball into the occupational therapy curriculum. the wheelchair basketball project has now expanded into the local community and a new club for children and adults is now underway (brunel bulls). mellissa joined brunel university london as a lecturer in october 2013 and left her position in november 2024. she remains in an honorary reader position with a focus on research and scholarship projects.
![Dr Mellissa Prunty]()
Dr Mellissa Prunty
Mellissa was the Divisional Lead for Occupational Therapy at Brunel University London until November 2024. She is a children's Occupational Therapist by background. She qualified from the MSc (pre-reg) programme at Glasgow Caledonian University in 2010. She previously completed a BSc (Hons) in Kinesiology at Memorial University of Newfoundland in Canada, while on athletic scholarship for women’s basketball. She completed her PhD on handwriting difficulties in children with Developmental Coordination Disorder (DCD), which she undertook at Oxford Brookes University under the supervision of Prof. Anna Barnett, Dr. Mandy Plumb and Dr. Kate Wilmut. Mellissa has worked in a variety of childrens' services and specialises in working with children with coordination difficulties. She founded the Kidspace children's occupational therapy research clinic at the university which investigates key skills and participation in childhood including handwriting, activities of daily living and cycling. The clinic currently offers placements to occupational therapy students at the university. Separate to this Mellissa co-led the development of wheelchair basketball and disability sport on campus. She has organised a series of inter-professional training days for health care students and has incorporated wheelchair basketball into the occupational therapy curriculum. The wheelchair basketball project has now expanded into the local community and a new club for children and adults is now underway (Brunel Bulls). Mellissa joined Brunel University London as a Lecturer in October 2013 and left her position in November 2024. She remains in an Honorary Reader position with a focus on research and scholarship projects.
Turner
claire turner is an interdisciplinary scientist with a bsc in chemistry and biochemistry from the university of natal and a phd in biochemical engineering from ucl. her aim is to enable all our students to have an excellent education and student experience irrespective of their background and circumstances. she is very interested in innovations in pedagogy and how we can use these in improving the student experience. she was previously at the open university where she taught analytical science, and interdisciplinary science. her research is focussed around the analysis of volatile organic compounds, applied to diverse field as non-invasive disease dignosis and environmental monitoring.
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Professor Claire Turner
Claire Turner is an interdisciplinary scientist with a BSc in Chemistry and Biochemistry from the University of Natal and a PhD in Biochemical Engineering from UCL. Her aim is to enable all our students to have an excellent education and student experience irrespective of their background and circumstances. She is very interested in innovations in pedagogy and how we can use these in improving the student experience. She was previously at The Open University where she taught Analytical Science, and interdisciplinary science. Her research is focussed around the analysis of volatile organic compounds, applied to diverse field as non-invasive disease dignosis and environmental monitoring.
Wang
dr fang wang is a senior lecturer in the department of computer science at brunel university london. she received a phd in artificial intelligence from the university of edinburgh and worked as a senior researcher in the research centre of british telecom (bt) group, before she joined brunel university london in 2010. dr. wang has published a number of papers in books, journals and conferences and filed a series of patents. dr. wang is an established teacher and researcher in computer science and artificial intelligence. her research interests include nature-inspired computing, agents, intelligent information processing, intelligent distributed computing, cognitive radio networks, e-learning and cloud education, cognitive science and computer vision. she actively participated in a number of eu, epsrc, bt long term research projects and received several technical awards, including the gordon radley technical premium highly commended award of bt and acm best student paper award at the third international conference on autonomous agents. she is on the editorial boards of several international journals and serves on many program committees. dr. wang’s main research interest is in artificial intelligence and its applications. this includes using nature-inspired techniques such as intelligent agents, swarm intelligence, evolutionary computing and neural networks to solve real world applications such as network optimisation, radio spectrum management, decentralised computing, user analysis, self-organising communities, and so on. lectured, administered, tutored and examined courses at undergraduate and msc levels on topics including introduction to programming, algorithms and their applications, systems in context, digital innovation, level 1 and level 2 group projects and final year projects. class sizes varied from 8 to 350. supervised a number of undergraduate and msc projects.
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Dr Fang Wang
Dr Fang Wang is a Senior Lecturer in the Department of Computer Science at Brunel University London. She received a PhD in artificial intelligence from the University of Edinburgh and worked as a senior researcher in the research centre of British Telecom (BT) Group, before she joined Brunel University London in 2010. Dr. Wang has published a number of papers in books, journals and conferences and filed a series of patents. Dr. Wang is an established teacher and researcher in computer science and artificial intelligence. Her research interests include nature-inspired computing, agents, intelligent information processing, intelligent distributed computing, cognitive radio networks, e-learning and cloud education, cognitive science and computer vision. She actively participated in a number of EU, EPSRC, BT long term research projects and received several technical awards, including the Gordon Radley Technical Premium Highly Commended award of BT and ACM Best Student Paper Award at the Third International Conference on Autonomous Agents. She is on the editorial boards of several international journals and serves on many program committees. Dr. Wang’s main research interest is in artificial intelligence and its applications. This includes using nature-inspired techniques such as intelligent agents, swarm intelligence, evolutionary computing and neural networks to solve real world applications such as network optimisation, radio spectrum management, decentralised computing, user analysis, self-organising communities, and so on. Lectured, administered, tutored and examined courses at undergraduate and MSc levels on topics including Introduction to programming, Algorithms and their applications, Systems in Context, Digital Innovation, level 1 and level 2 group projects and final year projects. Class sizes varied from 8 to 350. Supervised a number of undergraduate and MSc projects.
Sassoon
dr isabel sassoon is a senior lecturer (associate professor) in computer science at brunel university london, where she is also director of education in the department of computer science. her research examines reasoning in ai systems, including statistical modelling, automated reasoning, and large language models (llms), with a focus on how model outputs are justified, explained, and evaluated in real‑world contexts. a unifying theme of her work is the use of computational argumentation as a formal framework for understanding and supporting reasoning in data‑driven systems. her research contributions are in the fields of open science, explainable ai and decision support systems. she holds a phd in informatics from king’s college london, where her doctoral research developed a computational argumentation‑based approach to support statistical model selection, helping formalise how analysts justify modelling decisions given data, assumptions, and research objectives. more recently, her work has focused on reasoning in large language models (llms). she investigates how computational argumentation can be used to evaluate, steer, and improve llm reasoning, including how models respond to critical questioning, detect reasoning errors, and revise conclusions. her applied research spans healthcare and public policy, including serving as brunel lead investigator on the ukri ahrc‑funded immune project, which examined the risks and unintended consequences of covid‑19 immunity certification systems. she has extensive experience teaching quantitative data analysis at postgraduate level. prior to academia, she spent over a decade working in industry as a data science consultant, including at sas uk. isabel is a fellow of the royal statistical society and editorial board member of real world data science, data science explainable ai computational argumentation llm reasoning health informatics
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Dr Isabel Sassoon
Dr Isabel Sassoon is a Senior Lecturer (Associate Professor) in Computer Science at Brunel University London, where she is also Director of Education in the Department of Computer Science. Her research examines reasoning in AI systems, including statistical modelling, automated reasoning, and large language models (LLMs), with a focus on how model outputs are justified, explained, and evaluated in real‑world contexts. A unifying theme of her work is the use of computational argumentation as a formal framework for understanding and supporting reasoning in data‑driven systems. Her research contributions are in the fields of open science, explainable AI and decision support systems. She holds a PhD in Informatics from King’s College London, where her doctoral research developed a computational argumentation‑based approach to support statistical model selection, helping formalise how analysts justify modelling decisions given data, assumptions, and research objectives. More recently, her work has focused on reasoning in large language models (LLMs). She investigates how computational argumentation can be used to evaluate, steer, and improve LLM reasoning, including how models respond to critical questioning, detect reasoning errors, and revise conclusions. Her applied research spans healthcare and public policy, including serving as Brunel Lead Investigator on the UKRI AHRC‑funded IMMUNE project, which examined the risks and unintended consequences of COVID‑19 immunity certification systems. She has extensive experience teaching quantitative data analysis at postgraduate level. Prior to academia, she spent over a decade working in industry as a data science consultant, including at SAS UK. Isabel is a fellow of the Royal Statistical Society and Editorial Board Member of Real World Data Science, Data Science Explainable AI Computational Argumentation LLM Reasoning Health Informatics
Tang
dr kangkang tang is a chartered civil engineer (ceng mice) and a senior lecturer at brunel university london, where he serves as director of teaching and learning and programme leader for the beng and meng civil engineering courses. he is also an active member of the accreditation visiting team for the joint board of moderators (jbm). research overview dr tang’s research focuses on the development of resilient infrastructure, with two primary areas of expertise: resilient healthcare facility development dr tang applies advanced computational methods to assess and mitigate risks in complex hospital environments. notably, he has employed agent-based modelling (abm) to evaluate the transmission and control of hospital-acquired infections. his work provides a foundation for more robust, data-informed strategies to enhance infection control, operational efficiency, and patient safety within healthcare facilities. please also feel free to visit the group website: resilient railway infrastructures building on extensive industrial experience, dr tang has conducted in-depth studies of stray-current-induced corrosion using both computer simulations and experimental methods. his research has advanced the understanding of corrosion mechanisms in ultra-high-performance steel fibre-reinforced concrete (uhpsfrc), a promising alternative to conventional steel-reinforced concrete for railway tunnel construction. this work contributes directly to the development of more durable and resilient railway infrastructure. dr kangkang tang is the programme leader for beng/meng civil engineering courses at brunel university london. he also serves as the module leader for ce2620 design project and ce3610 design of structural systems. additionally, he supervises final-year beng, meng, and msc student projects.
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Dr Kangkang Tang
Dr Kangkang Tang is a chartered civil engineer (CEng MICE) and a senior lecturer at Brunel University London, where he serves as Director of Teaching and Learning and Programme Leader for the BEng and MEng Civil Engineering courses. He is also an active member of the accreditation visiting team for the Joint Board of Moderators (JBM). Research Overview Dr Tang’s research focuses on the development of resilient infrastructure, with two primary areas of expertise: Resilient Healthcare Facility Development Dr Tang applies advanced computational methods to assess and mitigate risks in complex hospital environments. Notably, he has employed agent-based modelling (ABM) to evaluate the transmission and control of hospital-acquired infections. His work provides a foundation for more robust, data-informed strategies to enhance infection control, operational efficiency, and patient safety within healthcare facilities. Please also feel free to visit the group website: Resilient Railway Infrastructures Building on extensive industrial experience, Dr Tang has conducted in-depth studies of stray-current-induced corrosion using both computer simulations and experimental methods. His research has advanced the understanding of corrosion mechanisms in ultra-high-performance steel fibre-reinforced concrete (UHPSFRC), a promising alternative to conventional steel-reinforced concrete for railway tunnel construction. This work contributes directly to the development of more durable and resilient railway infrastructure. Dr Kangkang Tang is the programme leader for BEng/MEng Civil Engineering courses at Brunel University London. He also serves as the module leader for CE2620 Design Project and CE3610 Design of Structural Systems. Additionally, he supervises final-year BEng, MEng, and MSc student projects.