Our Story
Get to Know Us
The DEIS Research Group at the University of Hull is at the forefront of pioneering work in Dependable Intelligent Systems — advanced intelligent systems whose failure could pose serious risks to people, the environment, the economy, and society.
These systems span a wide range of applications, including autonomous vehicles, multi-robot systems in healthcare and industrial automation, drone swarms for infrastructure maintenance and logistics, as well as machine learning algorithms and generative AI supporting a diverse set of tasks.
The inherent Complexity, Intelligence, Autonomy, and Openness of these systems — and broader Systems of Systems (SoS) — introduce substantial challenges for ensuring Dependability, i.e. their safety, reliability, security, and privacy. For over 25 years, the DEIS group has been developing cutting-edge methods and tools to assess and assure the dependability of intelligent systems.
Among our key technologies are HiP-HOPS (Hierarchically Performed Hazard Origin and Propagation Studies) and SafeML (Safety of Machine Learning), which are already commercialised or in the process of commercialisation. These tools are used by leading global organisations such as Honda, Nissan, and NYK Lines in Japan; Huawei in China; Honeywell in the US; Volvo in Sweden; Continental in Germany; Fiat in Italy; and Embraer in Brazil.
The group is led by Professor Yiannis Papadopoulos and co-led by Dr Koorosh Aslansefat.
Technologies
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Unprecedented Velocity. Impeccable Reliability.
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Our Partners
Meet Our Team
Yiannis Papadopoulos
Professor of CS and Dependability
Group Lead
for Dependable Intelligent Systems Lab
Koorosh Aslansefat
Assistant Professor in Computer Science working on AI Safety, Explainability, and Dynamic Reliability Modelling of Complex Systems
David Parker
Collaboration
Razieh Arshadizadeh
PhD student in Computer Science
Website Editor
working on Safety, privacy and Security System of systems on runtime
PhD student in Computer ScienceWorking on data-driven Intelligent Alarm Systems (DIAS) for Offshore Wind Maintenance
Louis Donaldson
PhD student in Computer Science Working Maintenance Planning in Offshore Wind using Reinforcement Learning
Ioannis Sorokos
Senior Researcher at Fraunhofer IESE, Germany
Sohag Kabir
Associate Professor at University of Bradford
Mahmood Asgari
Researcher
Working on the security of system of systems on runtime
PhD student in Computer ScienceWorking on data-driven Intelligent Alarm Systems (DIAS) for Offshore Wind Maintenance
PhD student in Computer ScienceWorking on data-driven Intelligent Alarm Systems (DIAS) for Offshore Wind Maintenance
PhD student in Computer ScienceWorking on data-driven Intelligent Alarm Systems (DIAS) for Offshore Wind Maintenance