Advisory Board and Editors Adaptive & Self-Organizing Systems
Nicolas P Rougier
I’m a full-time research scientist at Inria. This is a public scientific and technological establishment (EPST) under the double supervision of the Research & Education Ministry, and the Ministry of Economy Finance and Industry. I’m working at the frontier between integrative and computational neuroscience in association with the Institute of Neurodegenerative Diseases, the Laboratoire Bordelais de Recherche en Informatique, the University of Bordeaux and the CNRS. My research deals with decision-making, self-organization, spatial computing, artificial neural networks & open science.
Elad Michael Schiller
Elad Michael Schiller received his M.Sc., and B.Sc. in Mathematics and Computer Science from Ben-Gurion University of the Negev, Israel and a Ph.D. in Computer Science from the same university. His research excellence has been acknowledged by several highly competitive research fellowships from the Israeli government and the Swedish government. He is now an associate professor in the Department of Computer Science and Engineering at Chalmers University of Technology. Elad has published in top-tier venues (including PODC, DISC, OPODIS, SPAA, SRDS, ICDCN, IEEE-TMC, IEEE-TPDS and Acta Inf.). He has co-authored more than 50 conference and journal papers. He served on the program committees for several international conferences, including PODC, DISC, SSS, ICDCN and AlgoSensors. His research interests include distributed computing, with special emphasis on self-stabilizing algorithms, wireless communications and the application of game theory to distributed systems.
Yilun Shang
I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.
Prashant Shenoy
Prashant Shenoy is currently a Professor of Computer Science at the University of Massachusetts Amherst. His research
interests lie in distributed systems and networking, with a recent emphasis on cloud and green computing. He is a distinguished member of the ACM and a fellow of the IEEE.
Cédric Sueur
Cédric Sueur is Full Professor at the University of Strasbourg, specializing in the study of animal behavior with a primary focus on the dynamics of social networks and the mechanisms of collective decision-making within social groups. He holds leadership roles in academic programs, serving as co-director of both the Master's program in Ecology, Ecophysiology, and Ethology, and the Master's program in Animal Ethics, highlighting his dedication to advancing knowledge in both ecological and ethical domains. His distinguished contributions to his field have earned him membership in the prestigious Institut Universitaire de France and recognition from the Royal Academy of Science, Letters and Fine Arts of Belgium, where he was honored with an award.
Julita Vassileva
Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.
Christopher John Webster
Prof. Chris Webster is Dean of the Faculty of Architecture, the University of Hong Kong, and leads the HKUrbanLab. He has degrees in urban planning, computer science, economics and economic geography and is a leading urban theorist and spatial economic modeller. He has published over 150 scholarly papers on the idea of spontaneous urban order and received over US$20M grants for research and teaching and learning projects.
His research interests includes leading HKU’s Healthy High Density Cities research group to establish systematic evidence for the relationship between urban configuration (planned and spontaneous) and individual health.
He is a strong supporter of the discipline of Urban Science, believing that much (but by no means all) urban social science of the 20th century did not deliver on its claims and that advances in big data, sensing technology and computing power, are leading to a new engagement between urban decision makers and scientists. The 20th century urban scholars' reliance on small numbers, descriptive case studies, rudimentary analytics, cross-sectional designs and subjective measurements from social surveys are giving way to a more mature phase of urban science, with large-N panel studies, quasi and RCT designs, temporally and spatially fine-grained units of analysis, and a high degree of inter-disciplinarity. Professor Webster's hope is that an increasing number of Urban Science studies will appear in widely-read public science journals.
Keli Xiao
Dr. Keli Xiao is an Associate Professor in the College of Business at Stony Brook University. He received his Ph.D. from Rutgers University. Dr. Xiao’s research interests include business analytics, data mining, real estate/urban computing, economic bubbles and crises, and asset pricing. His research has appeared in many high-quality journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Real Estate Economics, ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), etc. He regularly serves as an SPC or PC of numerous prestigious conferences, such as AAAI, IJCAI, KDD, ICDM, SDM, CIKM, etc.. He is a senior member of the IEEE and the ACM.
Massimiliano Zanin
Principal Researcher at Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), Palma de Mallorca, Spain.
My interest is mainly focus on the application of modelling tools (and especially complex networks theory and data mining) to a wide range of problems, from the air transport to the interactions within cells.