Atta Badii

 Prof. Atta Badii


  • Chair of Secure Pervasive Technologies
  • IEEE Technical Committee Member EMBS BioRobotics
  • Director, Intelligent Systems Research Laboratory - UoR
  • Director, The European Observatory for Crowd-Sourcing
  • Director, European Centre of Excellence for Socio-Ethical Video-Analytics Research
  • Distinguished Professor of Systems Engineering and Digital Innovation (UCC)

Professor Atta Badii has established a track record of key contributions to over 40 projects including over 30 large scale collaborative research programmes, coordinated over 12 large scale international projects funded by a variety of sources including EPSRC, TSB, MoD Grand Challenge, the European Community and achieved recognition for visionary research leadership and innovation management.

Atta Badii is a high ranking professor at the University of Reading where he is the Director of the Intelligent Systems Research Laboratory, at the School of Systems Engineering.   He holds the Chair of Secure Pervasive Technologies (UoR) and the designation of Distinguished Professor of Systems Engineering and Digital Innovation (UCC) and is an International Privacy-by-Design Ambassador as designated by the Canadian Information and Privacy Commission.   Atta is Director of the European Virtual Centre of Excellence for Ethically-guided and Privacy-respecting Video-Analytics (VideoSense), Director of the European Observatory for Crowd-Sourcing and Collective-Awareness Platforms for Transformative Government (Citizens’ Say), Chair of the International Companion Robotics Institute (CRI), and, the Internet of People Things and Services (IoPT) Research Forum as well as the European Privacy by Co-Design Research Cluster.  He is also a panel member of the Companion Robotics and Human-Robot-Interaction research roadmap groups of the European Robotics Research Forum and has previously served on other European and UK research roadmap panels e.g. as the Chair of the European Security Architectures and Virtualisation Taskforce of the SECURIST Research Roadmap Initiative and as a leading member of the TSB-RCUK Expert Group for Secure Internet of Things Research Strategy.

Atta has a multi-disciplinary academic and industrial research track record in the fields of Distributed Intelligent and Multi-modal Interactive Systems including Multi-modal indexing and retrieval, at web-scale, distributed databases, Big Data Analytics, Human-Robot-Interaction, Semantic Security & Trust Architectures and Privacy by Co-Design of Cyber-Physical System-of- Systems.  Atta has contributed to over 30 large scale collaborative projects to-date and has served as the Scientific and Technical Leader of over 10 such projects at both national and international level including successful coordination of several UK/EU-funded projects; some with the designation of smart innovation project.  Atta is the pioneer of several paradigms in user-centred assistive technologies; has over 200 publications and has served on the editorial and programme committees of various specialist international journals and conferences and as external PhD supervisor/examiner, Professorial Appointment Board member and Research and Innovation Strategy Advisor for various universities in the UK, Europe and the Americas including some of the top 10 Universities and Enterprises in the world.   He has made fundamental contributions to pushing forward the frontiers of research in Security Context Representation (e.g. as in Hydra LinkSmart Technology) and Mitigation (e.g. FastMatch Next Generation IDS-IPS Architectures), Access Control and Privacy Enhancing Technologies (e.g. Mobi-PETS-GRID, Hydra), Ontology-based Semantic Integration, User-centred Co-design and Integrated Requirements Prioritisation and Usability Evaluation (e.g. UI-REF), Human-Computer-Robot Interaction (e.g. CompanionAble, CORBYS), Multi-modal Communications Control (C3PAL), Advanced Affective-Interactive Interfaces (CALLAS), Dynamic Media Adaptation (Axmedis), Semantic Workflow Integration (Axmedis, 2020-3D Media), Advanced Multi-modal Media Semantic-Collateral Indexing and Retrieval (DREAM, Content Safari), Semantic Music Representation & Search (I-Maestro, CC-MOLE, SoundScape), and framework architecture for Man-in-the-Loop Assistive-Interactive Systems (CORBYS); BIG Data Dashboard, Agent Modelling and Simulation (MOSIPS) etc.

Read more: Prof. Atta Badii

 Dr Ali Khan

Ali  Designation  Research Fellow
 Room No  JJT-248/ 251
 Tel  +44 118 378 7643



Ali Khan holds a Ph.D. in Computer Science, completed part-time in 2013 at the School of Systems Engineering, University of Reading. He achieved his M.Sc. degree with distinction in 2005, at the School of Computing, University of Leeds. Ali has worked on several European collaborative projects at ISR, in the areas of situation assessment, affective output and minimally distractive user interfaces.  His interests include machine learning, distributed systems, user interfaces and system integration.


 Ben Gardiner Jones

ben  Designation  Research Assistant
 Room No  JJT-248
 Tel  +44 118 378 7643



Ben Gardiner-Jones is a research assistant at ISR. He holds a BSc (Hon.) degree in Software Engineering during 2003-2006 and is an experienced software engineer with areas of interest including object-oriented systems, user interfaces, intelligent systems, artificial life, and representation and communication of knowledge in many forms.

 Dr Aurelien Ducournau

Aurelien  Designation  Research Fellow
 Room No  JJT-248/ 255
 Tel  +44 118 378 7631



In 2009, Aurelien Ducournau received his MSc in Computer Science and Image Analysis with honors from Universite de Caen Basse-Normandie, France.

The diploma was validated by a 6-month research internship at the Signal and Image Processing Department, Telecom ParisTech, Paris, France.

Aurelien pursued his studies with a PhD in Computer Science, Signal, Image and Vision at the National Engineering School of Saint-Etienne, France, which was successfully completed in 2012 with highest distinction.

His research work mainly focused on Computer Vision, Image and Video Processing and Analysis, Image Segmentation, Graph/Hypergraph theory, Hypergraph Clustering and Partitioning, and combinatorial algorithms.