We would like to introduce our first members of our Scientific Advisory Board. The main role of the SAB is to give general advice, provide feedback and support on the challenge design and the milestones – current and future.
Roman Yampolskiy, PhD
Professor, University of Lousville
Dr. Roman V. Yampolskiy is a Tenured Associate Professor in the department of Computer Engineering and Computer Science at the Speed School of Engineering, University of Louisville. He is the founding and current director of the Cyber Security Lab and an author of many books including Artificial Superintelligence: a Futuristic Approach. During his tenure at UofL, Dr. Yampolskiy has been recognized as: Distinguished Teaching Professor, Professor of the Year, Faculty Favorite, Top 4 Faculty, Leader in Engineering Education, Top 10 of Online College Professor of the Year, and Outstanding Early Career in Education award winner among many other honors and distinctions. Yampolskiy is a Senior member of IEEE and AGI; Member of Kentucky Academy of Science, and Research Advisor for MIRI and Associate of GCRI.
Professor, Universitat Politècnica de València
José Hernández-Orallo received a B.Sc. and a M.Sc. in Computer Science from UPV, partly completed at the École Nationale Supérieure de l'Électronique et de ses Applications (France), and a Ph.D. in Logic with a doctoral extraordinary prize from the University of Valencia. His academic and research activities have spanned several areas of artificial intelligence, machine learning, data science and information systems. He has published five books and more than a hundred journal articles and conference papers on these topics. His research in the area of machine intelligence evaluation has been covered by several popular outlets, such as The Economist, New Scientist or Nature. His most recent book addresses an integrated view of the evaluation of natural and artificial intelligence (Cambridge University Press, 2017).
Research Scientist, Facebook AI Research
Tomas Mikolov is a research scientist at Facebook AI Research since May 2014. Previously has been member of Google Brain team, where he developed and implemented efficient algorithms for computing distributed representations of words (word2vec project). He obtained his PhD from Brno University of Technology (Czech Republic) for his work on recurrent neural network based language models (RNNLM). His long term research goal is to develop intelligent machines capable of learning and communication with people using natural language.
Professor, New York University
Julian Togelius is an associate professor at the Department of Computer Science and Engineering at the New York University Tandon School of Engineering. Previously, he was an associate professor at the Center for Computer Games Research, IT University of Copenhagen and among the founders of the procedural content generation research field.
Professor, Czech Technical University in Prague
Pavel Kordík works as an assistant professor and researcher at the Department of Theoretical Computer Science, FIT, Czech Technical University in Prague. He obtained his master's and Ph.D. degree in 2003 and 2007 at CTU, respectively. He is the co-author of more than 40 publications. His research interests are data mining, knowledge extraction, inductive models, neural networks, evolutionary computing, optimization methods, nature inspired continuous optimization, visualization of black-box behaviour and ensemble techniques.
Alison B. Lowndes
Artificial Intelligence Developer Relations, EMEA | NVIDIA
Graduated in Artificial Intelligence, Alison Lowndes is now helping NVIDIA in the race to AGI by looking over the entire EMEAI research field, staying up to date with progress from Luminaries to Masters students and talking to everyone about how we enable AI.