Welcome to our virtual home, the home of the Department of Computer Science at Middlesex University, London. We have a dynamic and diverse academic team that provides high-quality teaching, research, and consultancy in many areas of Computer Science. Areas such as Cyber Security, Digital Forensics, Network Engineering, Artificial Intelligence, Data Science and Data Analytics. We warmly welcome prospective students and Exchange students and their families exploring opportunities to join our community, visiting researchers and seminar speakers seeking collaboration and exchange of ideas, as well as Erasmus students to broaden their academic horizons.
We are a dynamic and approachable community with a strong teaching record and an expanding research profile. Over the years, our department has gained recognition for innovative undergraduate teaching and a supportive research culture. In the 2021 Research Excellence Framework (REF), Middlesex University achieved significant progress compared to REF2014. 70% of the eligible staff in the Computer Science and Informatics unit submitted for the 2021 REF. 41% of submitted research was judged as world-leading (4)* and a further 43% as internationally excellent (3) university-wide. These outcomes highlighted a clear rise in quality, with a greater share of work rated as world-leading and internationally excellent. Overall, the 2021 REF results confirmed Middlesex’s growing research strength, positive trajectory, and meaningful contributions to society through high-quality, impactful research.
News
- Colleagues Carlisle George and Juan Carlos Augusto Co-organised the “Workshop on Ethical and Legal Aspects of AI”
Colleagues Carlisle George (Research Group on Aspects of Law & Ethics Related to Technology) and Juan Carlos Augusto (Research Group on the Development of Intelligent Environments). Co-organised the “Workshop on… Read more: Colleagues Carlisle George and Juan Carlos Augusto Co-organised the “Workshop on Ethical and Legal Aspects of AI” - A brief history, basic concepts, applications of Artificial Intelligence
We are pleased to share that the department of Computer Science will be hosting a guest lecture titled “A brief history, basic concepts, applications of Artificial Intelligence” by Prof. Franco… Read more: A brief history, basic concepts, applications of Artificial Intelligence - Middlesex University is indeed ranked 4th in the UK for student satisfaction in Computer Science, according to The Complete University Guide.Middlesex University is indeed ranked 4th in the UK for student satisfaction in Computer Science, according to The Complete University Guide. Middlesex University has achieved an impressive distinction, being ranked… Read more: Middlesex University is indeed ranked 4th in the UK for student satisfaction in Computer Science, according to The Complete University Guide.
Events
- Colloquium: AI for Science: From Accelerating Materials Discovery to Stress-Testing Post-Quantum CryptographyFebruary 18th, 2026, Wednesday, 3PM. Room TG23. Speaker: Elisabeth Fink. Title: AI for Science: From Accelerating Materials Discovery to Stress-Testing… Read more: Colloquium: AI for Science: From Accelerating Materials Discovery to Stress-Testing Post-Quantum Cryptography
- Colloquium: Addressing Racial Bias in Law Enforcement: An Interdisciplinary Approach to Developing Ethical AI Systems for Objective Threat AssessmentDecember 8th, 2025, Monday, 3PM. Room TG23 Speaker: Ahmed Eissa Title: Addressing Racial Bias in Law Enforcement: An Interdisciplinary Approach… Read more: Colloquium: Addressing Racial Bias in Law Enforcement: An Interdisciplinary Approach to Developing Ethical AI Systems for Objective Threat Assessment
- Colloquium: Optimal Transport for Sea Ice Dynamics: Challenges and Solutions in Motion EstimationNov 25th, 2025, Tuesday. 3PM. Room TG23. Speaker: François Chadebecq Title: Optimal Transport for Sea Ice Dynamics: Challenges and Solutions… Read more: Colloquium: Optimal Transport for Sea Ice Dynamics: Challenges and Solutions in Motion Estimation
- Colloquium: Applying Machine Learning to Investigate Malaria Risk Factors and Predict Malaria incidence in Southwest NigeriaOctober 21st, 2025. Tuesday. TG23. 3PM. Speaker: Abimbola Afolayan (Middlesex Univerisity, London) Title: Applying Machine Learning to Investigate Malaria Risk… Read more: Colloquium: Applying Machine Learning to Investigate Malaria Risk Factors and Predict Malaria incidence in Southwest Nigeria
- WISHWell 2025 EditionJune 23 – 26, 2025, Darmstadt, Germany. International Workshop on Intelligent Environments Supporting Healthcare and Well-being (WISHWell) (23th or 24th… Read more: WISHWell 2025 Edition
