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

Part of

School of Engineering, Computing and Mathematics

Related courses

Artificial Intelligence (BSc (Hons) / MSci)
Computing (MPhil / PhD / Masters by Research / PhD by Published Work)
Artificial Intelligence (MSc / PGDip / PGCert)
Computer Science for Cyber Security (BSc (Hons))
Computer Science (BSc (Hons))
Data Science and Artificial Intelligence (MSc)

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

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

Professor Fabio Cuzzolin

Professor of Artificial Intelligence

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Dr Tjeerd Olde Scheper

Reader in Computer Science

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Dr Alex Rast

arast@brookes.ac.uk

Lecturer in Computing

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Dr Matthias Rolf

mrolf@brookes.ac.uk

Reader in Computer Science

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Membership

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	Reader	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 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

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

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