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Group Members


Professor Simon Taylor Professor Simon Taylor
Vice Dean Research/Professor
imon J E Taylor is a Professor of Computer Science specialising in Modelling & Simulation and Digital Infrastructures. He has made many contributions to manufacturing, health care and international development. He has worked with international consortia (in particular UNICT, WACREN and the UBUNTUNET ALLIANCE) to contribute to the development of National Research and Education Networks in Africa that has impacted over 3 million students and 300 universities. He has also worked with international consortia (in particular Saker Solutions, the University of Westminster, SZTAKI and CloudSME UG) to develop high performance simulation systems that are being used by over 30 European SMEs and large-scale enterprises such as the Ford Motor Company and Sellafield PLC. He continues to work closely with industry - his work has led to over £30M of savings and new products in industry. He also contributes to the development of Open Science principles and practice for Africa and for Modelling & Simulation as a field. He has led modules in distributed computing in the Department of Computer Science for many years with high module evaluations scores and is an enthusiastic teacher. He has also led the development of several postgraduate degrees. He has supervised over 20 doctoral students, has examined more than 25 doctoral students from across the world and has managed over 15 research fellows. Professor Taylor co-founded and is a former Editor-in-Chief of the Journal of Simulation and the UK Operational Research Society Simulation Workshop Series. He chaired ACM SIGSIM between 2005-2008 and since then has been an active member of the ACM SIGSIM Steering Committee. He is also the General Chair for the 2025 Winter Simulation Conference. He has chaired international standardisation groups under the Simulation Interoperability Standards Organization and has conducted several organisational review panels (e.g., DSTL) and simulation audits. He is currently the executive chair for the annual Simulation Exploration Experience ( and a member of the Computer Simulation Archive steering committee ( He has also chaired several conferences and is the General Chair for the IEEE/ACM 2025 Winter Simulation Conference. Interested in the history of computer simulation? Visit the Computer Simulation Archive hosted by NCSU and hear talks from some of the pioneers in computer simulation. I am strongly interested in Modelling & Simulation and Digital Infrastructures, particularly in the development of high performance simulation infrastructures and services in industry and health care. These are extremely important as it allows users to perform more simulation experimentation and to get deeper insight into their problems. This has openned up a new area of study that is allowing us to develop novel AI-based optimisation techniques for Modelling & Simulation that leverage our high performance simulation infrastructures that we have already deployed in industry (e.g., Ford, Saker Solutions and Sellafield). In parallel with these interests I have been able to work towards the development of digital infrastructures and services in Africa. This has contributed to the rapid development of African National Research and Education Networks and the foundation for African Open Science. This work continues and we are working with African stakeholders to further develop African Open Science and Data Science approaches across the continent. In turn these experiences have enabled me to contribute to Open Science techniques for Modelling & Simulation, as well as Open Science at Brunel. I teach a variety of subjects from Modelling & Simulation to Distributed Computing at Undergraduate, Postgraduate and National levels (e.g. NATCOR). I also support student projects and (unpaid) internships in these areas.
Dr Anastasia Anagnostou Dr Anastasia Anagnostou
Senior Lecturer in Computer Science
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). 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 Derek Groen Dr Derek Groen
Reader in Computer Science
I am a Lecturer in Simulation and Modelling at Brunel University. I'm also an Emeritus Fellow for the EPSRC-funded 2020 Science Network, a Fellow of the Software Sustainability Institute, and a Visiting Lecturer at the Centre for Computational Science at University College London. I completed an MSc in Grid Computing at the University of Amsterdam (UvA) in 2006, and a PhD in Computational Astrophysics both at the UvA and Leiden University in November 2010. After my PhD I worked as a post-doctoral researcher on EU projects about distributed multiscale computing (MAPPER) and high-performance computing towards the Exascale (CRESTA). I received a 1-year position as a Fellow of 2020 Science in January 2015, and funded myself for two months through an EPSRC eCSE to work on new approaches for domain decomposition. I joined Brunel University in September 2015 to become a Lecturer and I currently collaborate in the EU ComPat project about multiscale computing towards the Exascale. I have published >20 peer-reviewed journal papers in venues such as IEEE Computer, IEEE CiSE, Journal of Computational Science, Phil. Trans. R. Soc. A., Physics Review E., the Astrophysical Journal and eLife. In addition, I was second author of the first ever feature article in Advanced Materials, which was on multiscale modelling of clay-polymer nanocomposites and received news coverage from the Daily Telegraph and the BBC. I currently run Science Hackathons to efficiently establish new interdisciplinary collaborations. 2015/2016 – Service Oriented Architectures (Msc module) 2015/2016 – Data Visualization (Msc module)
Dr Alireza Mousavi Dr Alireza Mousavi
Graduated as BEng with equivalent of first class from Tehran Azad University in Industrial Engineering, Planning and Analysis of Systems in 1994. I worked first as placement and then full time in Automotive Industry Management Consultancy from 1992-1996. In 1996 I joined the Postgraduate Research programme (PhD) of the well-known Department of Manufacturing and Engineering Systems of Brunel University with a scholarship from the University. I obtained my PhD in May 2000. In year October 1999, I was appointed as an RA on an EPSRC/MAFF project MEATRAC – where I developed a fully novel monitoring and control system using Sensors & Actuation, SCADA, PLC, RFID Technology, and Enterprise Data Management System for 100% Tracking and Traceability of Meat products. It was successfully delivered in mid-2002. From May 2002, I was appointed as a lecturer in the same department and to date have covered a wide range of teaching and supervising UG and PG projects in subject areas ranging from mathematics, software engineering, software development, systems modelling & probability theory, control, and embedded systems. The modules covered all undergraduate and postgraduate years, and taught in a highly international and diverse cohort of students. I contribute to a wide range of classical (e.g. mathematics, probability theory, queuing theory, discrete systems, software development) and modern subjects (e.g. Machine Learning, AI, Applied Control, and Cyberphyisical systems) at the Departments of Computer Science, Electronic and Copter Engineering as well as Department of Mechanical & Aerospace Engineering with the College of Engineering, Design and Physical Sciences. My current research activities are concentrated on digital transformation and smartification of Industrial Systems, especially within the Industry 4.0 context covering sensors-actuation, signal processing and feature extraction, machine learning, modelling, control and optimisation. For complete list of publications and other information please visit my website: Systems Engineering REsearch Group (SERG) Website: University site about SERG ( Special Announcement: SERG is Recruiting Research Assistants, Fellows and PhD students in the areas of Automation, Control, Sensors and Actuation, Mathematical Modelling and Optimisation, Machine Learning & AI, and Software Engineering (contact me for details) · Real-Time Systems encompassing Data Acquisition, Sensitivity Analysis, and Systems Modelling. We are engaged with Machine Tools Manufacturer, Continuous Systems Process, Micro-Electronics, Laser and Opto-Electronics Fabrication and Manufacturing, Penetrating and Surface Technology detection and Quality Inspection, Aerospace and Aviation (Flight Data Analysis, Scenario Analysis, Fault Diagnostics, and Predictive Maintenance), Automotive (Control and Optimisation of Safety Systems). Further applications in real-time performance monitoring and optimisation of Power Plants and Factory Performance Optimisation. (see Publications and Activities) · Systems Modelling and Simulation: Application of discrete event modelling and simulation for measuring and optimisation of plant/shopfloor performance optimisation. Measurement of key performance indicators in industrial systems including manufacturing, health care, retail, logistics, and service industry. Linking internal resource performance with external and environmental factors (secondary models) such as customer satisfaction, environmental impact and complex socio-economics factors. . Data-Driven Learning Predictive Systems Failure, Risk and Threat modelling including physical and digital systems i.e. machines, networked machines (process), and systems of systems. · Mathematical Modelling and Computing: Application of Physical (in forms of Transfer Functions), analytical, stochastic and heuristic modelling in describing and controlling complex systems and presenting them in the form of software tools. For more information: Systems Engineering REsearch Group (SERG) Website: UG Teaching My Teaching responsibilities started in the Department of Manufacturing and Engineering Systems and at present I teach in three Departments of Electronic and Computer Engineering (ECE), Mechanical and Aerospase Engineering (MAE), and Computer Science (CS). Previously I was module leader (ML) of Manufacturing Systems (2003-2008) [average cohort size 80, contact hours: 72], Supervisory Control and Data Acquisition Systems (2003-2014) [average cohort size 50, contact hours: 128], Mobile Computing (2005-2012) [average cohort size 50, contact hours: 72], Electronic Business Systems (2008-2018) [average cohort size 50, contact hours: 72], and shared the Programming and Web Development for Digital Media (2008-2018) [average cohort size 70, contact hours: 48]. PG Teaching Module Leader for Systems Modelling and Simulation (also a full online interactive and video module, separate from the classical teaching mode) [average cohort size 200, contact hours: 120, for Engineering Management, Advanced Manufacturing Systems courses, FT, PT, DL and Interactive Pro], Module Leader for Project Control and Management (2015- to date) [average cohort size 90 in UK and Germany, contact hours: 96], contributing to (30%) to Embedded Systems and Control (2016-to date) [average cohort size 30, contact hours: 36]. Previous module leader of Advanced Manufacturing Systems (2003-2008) [average cohort size 200, contact hours: 72, Engineering Management, Advanced Manufacturing systems courses FT, PT and DL modes] and Advanced Mobile Computing and Web Applications (2005-2013) [average cohort size 30, contact hours: 48].
Dr Armin Kashefi Dr Armin Kashefi
Lecturer (Education) in Computer Science
Dr Armin Kashefi is a lecturer in the Department of Computer Science at Brunel University London. He has an MSc and PhD in Information Systems Management. His research interests include people and technology, information systems for crisis response and management (ISCRAM) and ICTs and development. He was recently involved in two EU-sponsored projects (TANDEM and Sci-GaIA) working on developing sustainable e-Infrastructures in West and Central Africa. His current research continues to explore sustainable e-infrastructures in Africa as well as modelling and analysis of complex systems using discrete simulation modelling. Module leader: BSc Business Analysis and Process Modelling Co-Lecturer: MSc Research Project Management Year 2 Group Project Tutor Work Placement Tutor Final Year Project Supervisor MSc Dissertation Supervisor
Professor George Ghinea Professor George Ghinea
Professor - Mulsemedia Computing
I am a Professor in the Department of Computer Science at Brunel University London. I obtained my BSc. Degree with Computer Science and Mathematics majors from the University of the Witwatersrand, South Africa. I later went on to obtain BSc. (Hons.) and MSc. Degrees, both in Computer Science, from the same university. I was awarded my PhD – Quality of Perception: An Essential Facet of Multimedia Communications - from the University of Reading, UK, in 2000. In it, I proposed the Quality of Perception metric, a precursor of the Quality of Experience (QoE) concept now widely known. However, whilst QoE is still a concept, QoP is a concrete metric. Thus, recognising the infotainment duality of multimedia, QoP not only characterises the subjective enjoyment associated with experiencing multimedia presentations, but also how such presentations aid a person\'s ability to assimilate informational content. My research activities lie at the confluence of Computer Science, Media and Psychology. In particular, my work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. I have applied my expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. I am particularly interested in building human-centred e-systems, particularly integrating human perceptual requirements. My work has been funded by both national and international funding bodies – all of it being collaborative work with other teams and stakeholders I have been privileged to be involved with. I have also been honoured to supervise 33 PhD students to completion and to have published over 350 high-quality research articles with them and other research collaborators. Currently, my research pursuits are centered on extending the notion of multimedia with that of mulsemedia – a term which I have put forward to denote multiple sensorial media, ie. media applications that go beyond engaging the by now traditional auditory and visual senses, engaging three of our other human in a realistic manner akin to our experiences of everyday life. • Multimedia and multimodal interactive environments• Mulsemedia applications and environments• Adaptive, cross-layer communication systems• Human-centred e-systems• Mobile and pervasive computing• Communications security I currently lead the level 7 postgraduate module Research Project Management.
Dr Diana Suleimenova Dr Diana Suleimenova
Lecturer in Computer Science
I am a Lecturer in the Department of Computer Science at Brunel University London. I am a member the Modelling & Simulation Group and the Computer Science for Social Good research groups. My​​ research concentrates on agent-based modelling, forced displacement prediction, and verification, validation and uncertainty quantification (VVUQ) of multiscale applications deployed on emerging exascale platforms. I worked as a Research Fellow in Multiscale Migration Prediction for the Horizon 2020 projects, namely Verified Exascale Computing for Multiscale Applications (VECMA), HPC and Big Data Technologies for Global Systems (HiDALGO) and IT tools and methods for managing migration FLOWS (ITFLOWS). Currently, I am a Knowledge Exchange coordinator for the Software Environment for Actionable and VVUQ-evaluated Applications (SEAVEA), which aims to develop an exascale-ready toolkit for VVUQ techniques in application to various domains. I am interested in predicting and forecasting forced displacement movements using an agent-based modelling. Currently, I am the module leader for a second-year CS2007 ICTs in Society module. It is a core module for the Business Computing degree. Moreover, I am a tutor for first-year undergraduate students (CS1701 Group Project Lectures and Tutorials module). I also supervise the CS3072-CS3605 Final year projects and MSc dissertations (CS5500) in Computer Science.