Danil Prokhorov

sample-image Danil Prokhorov is head of the Future Research Department in Toyota Motor North America R&D. He started his research career in Russia. He studied system engineering which included courses in math, physics, mechatronics and computer technologies, as well as aerospace and robotics. He received his M.S. with Honors in St. Petersburg, Russia, in 1992. After receiving Ph.D. in 1997, he joined the staff of Ford Scientific Research Laboratory, Dearborn, Michigan. While at Ford he pursued machine learning research focusing on neural networks with applications to system modeling, powertrain control, diagnostics and optimization. He has been involved in research and planning for various intelligent technologies, such as highly automated vehicles, AI and other futuristic systems at Toyota Tech Center (TTC), Ann Arbor, MI since 2005. Since 2011 he is in charge of future research department in Toyota Motor North America R & D. He has been serving as a panel expert for NSF, DOE, ARPA, Senior and Associate Editor of several scientific journals for over 20 years. He has been involved with several professional societies including IEEE Intelligent Transportation Systems (ITS) and IEEE Computational Intelligence (CI), as well as International Neural Network Society (INNS) as its former Board member, President and recently elected Fellow. He has authored lots of publications and patents. Having shown feasibility of autonomous driving and personal flying mobility, his department continues research of complex multi-disciplinary problems while exploring opportunities for the next big thing.

Website: sites.google.com/site/dvprokhorov/

Constantino Carlos Reyes-Aldasoro

sample-image I am an interdisciplinary scientist with skills that span from microscopy to image analysis of biomedical data sets to advanced computer programming. I studied Mechanical and Electrical Engineering (BEng 5-years UNAM), Communications and Signal Processing (MSc Imperial College) and Computer Science (PhD Warwick). I also worked as a Postdoctoral Researcher and then Fellow in the Department of Surgical Oncology of The University of Sheffield where I gained hands-on experience with many imaging modalities such as Intravital, Fluorescence and Multispectral Microscopy, Computed Tomography and Magnetic Resonance Imaging. My research has focused mainly on biomedical areas related to Cancer, Microcirculation and Inflammation using a variety of techniques, from traditional to deep learning.
I have written many journal and conference papers, some with their corresponding code in GitHub and matlabcentral, and a book called “Biomedical Image Analysis Recipes in Matlab”, published by Wiley. I have organised several conferences (MIUA, BMVA, ECDP, Angionet), served in committees (BACR, MIUA, IET), reviewed for many journals and act as Editor (PLOS ONE, Oncology News) and Guest Editor (IET, Medical Image Analysis).

Website: city.ac.uk/people/academics/constantino-carlos-reyes-aldasoro


Kizito Salako

sample-image Kizito Salako is a lecturer in computer science. He is passionate about applications of probability theory, Bayesian statistics, geometry and machine-learning techniques, when trying to simulate, assess and forecast the (failure) behaviour of software-based systems. Currently, he is particularly interested in the assessment/forecasting challenges that arise when these systems rely on evolving machine-learning solutions. He has a lot of experience building large-scale simulations using C++.

Website: city.ac.uk/people/academics/kizito-salako

Carles Sierra

sample-image Carles Sierra is Director of the Artificial Intelligence Research Institute (IIIA) of the Spanish National research Council (CSIC) located in Barcelona. He has been contributing to Artificial Intelligence research since 1985 in the areas of Knowledge Representation, Auctions, Electronic Institutions, Autonomous Agents, Multiagent Systems and Agreement Technologies. He has participated in more than 20 projects funded by the European Union, is or has been a member of several editorial boards of journals, including AIJ and JAIR, two of the most prestigious generalist journals, and was the editor in chief of the JAAMAS journal, specialized in autonomous agents. He organized IJCAI, the most important international artificial intelligence conference, in 2011 in Barcelona and was the President of the IJCAI Program Committee 2017 in Melbourne. He is a Fellow of the European Association of AI, EurAI, and recipient of the ACM/SIGAI Autonomous Agents Research Award 2019.

Website: iiia.csic.es/~sierra


Gregory G. Slabaugh

sample-image Dr Gregory G. Slabaugh is an Honorary Visiting Fellow at City, University of London and Chief Scientist in Computer Vision (Europe) for Huawei Technologies Research and Development. He has a broad background in computer vision and medical image analysis. He earned a PhD (highest honours) in Electrical Engineering from Georgia Institute of Technology in Atlanta, USA. Previous appointments include positions in academia and industry, including City, University of London, Medicsight, and Siemens. He holds 36 granted patents and has over 150 publications in computer vision and medical image analysis. He is a Senior Member of IEEE.

Website: gregslabaugh.net

Vlad Stankovic

sample-image Vladimir is a Senior Lecturer at and holds PhD (2008) and BEng Honours (2003) degrees in Software Engineering and Computing, respectively, from City, University of London. Initially, he was employed as a Research Assistant working on the DOTS project and contributing to the DIRC project. Subsequently, he was appointed as a Research Associate, Security and Forensic Evaluation of ICT systems, and has been contributing since to the ongoing initiative in dependability and security assessment of computer-based systems. During this appointment he obtained the Ph.D on the topic of design, and performance evaluation, of diverse database replication protocols. A patent, with Dr Peter Popov, on the topic of improvements to database replication was granted in the EU (patent number EP2470994), and in the USA (USPTO patent number 8793216). He was the PI for the EPSRC-funded DIDERO-PC project, and has contributed to and/or took on the role of Co-I in several other projects: SESAMO, AFTER and AQUAS projects, etc. His research work, mostly on design and evaluation of (diverse) database replication protocols, as well as dependability and security assessment of software-based systems, contributes to the department's broad research areas of Software and Systems Engineering.

Website: city.ac.uk/people/academics/vladimir-stankovic


Csaba Szepesvári

sample-image Csaba Szepesvári is the team-lead for the "Foundations" team at DeepMind, UK and a Professor of Computing Science at the University of Alberta. He earned his PhD in 1999 from Jozsef Attila University, in Szeged, Hungary. He has authored three books and about 200 peer-reviewed journal and conference papers. He serves as the action editor of the Journal of Machine Learning Research and Machine Learning, as well as on various program committees.

Dr. Szepesvari's interest is artificial intelligence (AI) and, in particular, principled approaches to AI that use machine learning. He is the co-inventor of UCT, a widely successful Monte-Carlo tree search algorithm, which ignited much work in AI, such as DeepMind's AlphaGo which defeated the top Go professional Lee Sedol in a landmark game. This work on UCT won the 2016 test-of-time award at ECML/PKDD.

Website: sites.ualberta.ca/~szepesva

Alex Taylor

sample-image Alex Taylor Co-Directs the Centre for Human-Computer Interaction Design at City, University of London. He has been contributing to the areas of Science and Technology Studies and Human-Computer Interaction for over eighteen years, and held positions in both academic and industrial research, including the University of Surrey, Goldsmiths, Xerox EuroPARC and Microsoft Research Cambridge. Showing a broad fasciation for the entanglements between social life and machines, his research ranges from empirical studies of technology in everyday life to ethnographic investigations of computation in the life sciences. Largely, his interests are in how digital technologies are co-constitutive of forms of knowing and being, and, as a consequence, provide a basis for fundamental transformations in society. Alex has published widely in these areas with over 60 conference, journal and book publications.

Website: ast.io/about-alex-taylor/

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