Advisory Board and Editors Autonomous Systems
Syed M. Anwar
Associate Professor at the Department of Software Engineering, University of Engineering and Technology, Taxila. PhD from University of Sheffield, UK and Fulbright Fellow at University of Central Florida, USA
Wolfgang Banzhaf
Wolfgang Banzhaf is the John R. Koza Chair in Genetic Programming at the Department of Computer Science and Engineering at Michigan State University and an Honorary University Research Professor at Memorial University of Newfoundland. He received a "Diplom in Physik" degree in Physics from the LMU Munich and his Dr.rer.nat (PhD) from the Dept. of Physics of the TH Karlsruhe, now KIT. After a postdoc at the U. of Stuttgart, he was a Visiting and Senior Researcher at the Central Research Lab of Mitsubishi Electric in Japan and at MERL in Cambridge, USA. From 1993 to 2003 he was Associate Professor for Applied Computer Science at TU Dortmund.
Gui-Bin Bian
Gui-Bin Bian is a Professor of Robotics, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Vincent A Cicirello
Dr. Vincent A. Cicirello is a Professor and Chair of Computer Science at Stockton University. He is also among the founding faculty of Stockton University's interdisciplinary Behavioral Neuroscience program. Dr. Cicirello earned his Ph.D. in Robotics from Carnegie Mellon University in 2003, and his M.S./B.S. in Computer Science and B.S. in Mathematics from Drexel University in 1999. His research interests include artificial intelligence, evolutionary computation, algorithms, machine learning, and computational intelligence. Dr. Cicirello is an ACM Senior Member, IEEE Senior Member, AAAI Life Member, and a member of SIAM.
Louise A Dennis
Louise Dennis is a Reader at the University of Manchester.
Her background is in artificial intelligence and more specifically in agent and autonomous systems and automated reasoning. She has worked on the development of several automated reasoning and theorem proving tools, most notably the Agent JPF model checker for BDI agent languages; the lambda-clam proof planning system (also archived at the Theorem Prover Museum); and the PROSPER Toolkit for integrating an interactive theorem prover (HOL) with automated reasoning tools (such as SAT solvers) and Case/CAD tools. More recently she has investigated rational agent programming languages and architectures for autonomous systems, with a particular emphasis on verifiable systems and ethical reasoning.
Markus Endler
Markus Endler obtained his Dr. rer. nat. in Computer Science from the Technical University of Berlin (1992), and the Professor Livre-docente title (Habilitation) from the University of São Paulo (2001). From 1989 to 1993 he worked as a researcher at the GMD Research Institute Karlsruhe (Germany), and from 1994 to 2000 as an Assistant Professor at the Institute of Mathematics and Statistics of the University of São Paulo (USP). In 2001 he joined the Department of Informatics of the Pontifícia Universidade Católica in Rio de Janeiro (PUC-Rio), where he is currently Associate Professor. His main research interests include Mobile and Pervasive Computing, IoT Middleware Architectures. Distributed Algorithms for Cooperation and Consensus, Online Data Analytics, and Data Stream Processing. As of 2020, he has supervised 13 PhD thesis and 30+ M.Sc. dissertations.
Simone Fontana
Prof. Simone Fontana is an assistant professor at Università degli Studi di Milano - Bicocca.
His main research activity is in the field of 3D robot perception, with special attention to point clouds registration, a problem for which he has developed a benchmark. More recently, Dr. Fontana's research has focused on the use of informatics techniques for neuropsicology and neuroscience.
He is a co-investigator of the DriveWin project, which aims to investigate the effects of different types of non-invasive neurostimulation on attention while driving. Attention was assessed on a driving simulator and two age groups were compared.
Prof. Fontana is also a lecturer at the School of Law and at the Advanced Specialization School in Neuropsychology.
Jeonghwan Gwak
Dr. Jeonghwan Gwak received his Ph.D. degree in Machine Learning and Artificial Intelligence from Gwangju Institute of Science and Technology, Gwangju, Korea in 2014. From 2002 to 2007, he worked for several companies and research institutes as a Researcher and a chief technician. From 2014 to 2016, he worked as a Postdoctoral Researcher in GIST, and from 2016 to 2017 as a Research Professor. From 2017 to 2019, he was a Research Professor in Biomedical Research Institute & Department of Radiology at Seoul National University Hospital, Seoul, Korea. From 2019, he joined Korea National University of Transportation (KNUT) as an Assistant Professor and since 2021, he is an Associate Professor. He is the Director of the Algorithmic Machine Intelligence laboratory. His current research interests include deep learning, computer vision, image and video processing, AIoT, fuzzy sets and systems, evolutionary algorithms, optimization, and relevant applications of medical and visual surveillance systems.
Ernst Moritz Hahn
I am assistant professor at the University of Twente in the group FMT working in probabilistic model checking. Previously Lecturer at Queen's University Belfast, Marie-Curie fellow at University of Liverpool, associate professor at Institute of Software, Chinese Academy of Sciences, PostDoc at University of Oxford, PhD at Saarland University.
Hongfei Hou
Hongfei Hou, a senior scientist at Pacific Northwest National Laboratory, has attained a Ph.D. in Computer Science from Washington State University. His research area includes cloud computing and machine learning.
Yaochu Jin
Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.
Lydia E Kavraki
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.