Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute

 Announcement

We are happy to announce the launch of our new AI, Data Analysis and Systems (AIDAS) Institute. Get in touch and let's explore cutting-edge research and data analytics advancements together.

About us

The Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute provides world-class technical expertise in manifold areas of artificial intelligence (AI), including machine learning and robotics, epistemic AI, computer vision, ethics, software engineering, cybersecurity and cloud.

By leveraging a profound understanding of foundational principles in AI and their diverse applications, we aim to translate our research advancements into impact in both industry and society through a mix of high-quality research, technology transfer and consulting initiatives.

From neuromorphic chips and uncertainty-aware predictions to software security designs and multi-objective reinforcement learning, we aim to push the boundaries of what is considered to be possible in artificial intelligence. 

Abercrombie classrooms

Related courses

Partner organisations

  • Spinverse
  • Alien Technology Transfer
  • Createc
  • Supponor
  • NVIDIA
  • UK Atomic Energy Authority (UKAEA)
  • Zebra Technologies
  • ContinualAI
  • ABB
  • Aiuta
  • Perciv.ai
  • Peoplespace
  • Streetdrone
  • FinalSpark
  • Blenheim Palace

Research impact

Student building a robot

Our Institute comprises 6 research groups, holding patents and running successful projects in a wide variety of artificial intelligence fields. Our Visual Artificial Intelligence Laboratory has a strong position in the field of deep learning for action detection and uncertainty theory, and is now pioneering frontier topics such as epistemic artificial intelligence, machine theory of mind, continual learning, neuro-symbolic AI, AI for science, evolving and universal AI. 

Our Dependable Systems centre is known for the highest number of patentable IP within the University, among which an innovative chemical sensor architecture for sensing and ‘memorising’ the sensed data and pioneering method of encoding, decoding and locking data into a single memristive device for applications in security and authentication. We conduct extensive work in the cloud, cybersecurity and software engineering field with our Cybersecurity & Cloud and Software Engineering groups. Their work in the development of new software testing methodologies for AI applications and cutting-edge projects on big data management in NoSQL and cloud and network softwarization in cloud and IoT is highly recognised. 

Our Machine Learning and Robotics Group conducts transformative work using the Criticality Analysis method in prevention healthcare for diabetes and on developing intuitive and safe reinforcement learning that allows for a balanced achievement of multiple objectives. Our Centre for AI, Culture and Society conducts foundational research on moral agents and social norms, while also pursuing and supporting ethical AI research of the highest quality. 

Leadership

Fabio Cuzzolin

Professor Fabio Cuzzolin

Professor of Artificial Intelligence

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Tjeerd V. olde Scheper

Dr Tjeerd Olde Scheper

Reader in Computer Science

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Alex Rast

Dr Alex Rast

Lecturer in Computing

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Matthias Rolf

Dr Matthias Rolf

Reader in Computer Science

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Membership

Staff

Name Role Email
Dr Arantza Aldea Senior Lecturer aaldea@brookes.ac.uk
Dr Peter Ball Reader in Knowledge Transfer in Computing and Electronics pball@brookes.ac.uk
Dr Kashinath Basu Senior Lecturer in Computer Science kbasu@brookes.ac.uk
Dr Ian Bayley Senior Lecturer in Computer Science ibayley@brookes.ac.uk
Dr Andrew Bradley Senior Lecturer abradley@brookes.ac.uk
Professor Nigel Crook Associate Dean: Research and Knowledge Exchange (ADRKE) ncrook@brookes.ac.uk
Dr Hashem Dehghanniri Senior Lecturer in Computer Science and Cyber Security hdehghanniri@brookes.ac.uk
Dr Eleni Elia Senior Lecturer in Statistics eelia@brookes.ac.uk
Dr Mark Green Senior Lecturer mgreen@brookes.ac.uk
Professor Rachel Harrison Professor in Computer Science rachel.harrison@brookes.ac.uk
Dr Abusaleh Jabir University Reader ajabir@brookes.ac.uk
Dr Samia Kamal Principal Lecturer for Student Experience
Dr Muhammad Hilmi Kamarudin Senior Lecturer in Cyber Security mkamarudin@brookes.ac.uk
Karl Kjelstrup-Johnson Director of Defence and Security (DASOBU) kkjelstrup-johnson@brookes.ac.uk
Mr David Lightfoot Senior Lecturer in Computing dlightfoot@brookes.ac.uk
Dr Clare Martin Principal Lecturer for Student Experience cemartin@brookes.ac.uk
Dr Selin Nugent Assistant Director - Centre for AI, Culture and Society snugent@brookes.ac.uk
Dr Shumao Ou Senior Lecturer sou@brookes.ac.uk
Dr Matthias Rolf Reader in Computer Science mrolf@brookes.ac.uk
Dr Ajmal Shahbaz Research Fellow in deep learning for complex activity detection in videos ashahbaz@brookes.ac.uk
Dr Inna Skarga-Bandurova Senior Lecturer in Artificial Intelligence iskarga-bandurova@brookes.ac.uk
Professor Muhammad Younas Professor of Computer Science m.younas@brookes.ac.uk

Students

Name Thesis Title Supervisors Completed
Devashish Bharti Federated machine learning Professor Fabio Cuzzolin

Active

Safras Iqbal Investigations of novel techniques to mitigate against cyber security attacks on autonomous vehicles; Cyber threats to Connected & Autonomous Vehicles Dr Muhammad Hilmi Kamarudin, Dr Peter Ball

Active

Shireen Kudukkil Manchingal Epistemic Artificial Intelligence Dr Andrew Bradley, Professor Fabio Cuzzolin 2024

Collaborators

Name Role Organisation
Professor Davide Bacciu Full Professor University of Pisa
Professor Biplab Banerjee Assistant Professor Indian Institute of Technology, Bombay
Professor Jorge Dias Director, Center for Autonomous Robotic Systems Electrical Engineering Khalifa University
Dr Tomas Plecenik Associate Professor Comenius University Bratislava
Professor Barbara Sahakian Emeritus Fellow University of Cambridge
Professor Philip Torr Professor of Engineering Science University of Oxford