Advisory Board and Editors Agents & Multi-Agent Systems
Carl P. Lipo
A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Armin R Mikler
Armin R. Mikler is a Professor and Chair of the Department of Computer Science at Georgia State University. He received his PhD in Computer Science from Iowa State University in 1995. As a professor of Computer Science and Engineering at the University of North Texas from 1997 -2020, Dr. Mikler directed the Center for Computational Epidemiology and Response Analysis (CeCERA).
His research interests include Computational Epidemiology and Disaster Informatics with focus on data-driven response plan design and plan optimization. Dr. Mikler’s research on response plan design and analysis is supported by the Texas Department of State Health Services (DSHS), the National Science Foundation (NSF), and the National Institutes of Health (NIH). He has supervised over 40 PhD and MS theses and has published over 100 research articles related to a range of topics, including distributed systems, networking, computational epidemiology, and response plan design and analysis.
Mario Negrello
Mario Negrello obtained a mechanical engineering degree in Brazil (1997), and later after a period in the industry (VW 1999-2004) including RD and Prototypes, obtained his Masters degree (2006) and PhD (summa cum laude) in Cognitive Science at the University of Osnabrück in Germany in 2009. At that time, in the Fraunhofer Institute in Sankt Augustin (Germany) for Intelligent Dynamics and Autonomous Systems, he researched artificial evolution of neural network controllers for autonomous robots (2007/08). This work was awarded a scholarship by the International Society of Neural Networks (INNS) to sponsor an eight-month period (2008/09) as a visiting researcher at the Computational Synthesis Lab at the Aerospace Engineering department of the Cornell University in USA (with Hod Lipson). In his first post doctoral period he acted a group leader at the Computational Neuroscience laboratory at the Okinawa Institute of Science and Technology (with Erik De Schutter). He now heads a neuroscience lab that combines empirical research and computational methods (with Chris De Zeeuw). He has published in the fields of Machine Learning and Cognitive Robotics, Artificial Life, Evolutionary Robotics, Neuroethology and Neuroscience, as well as a monograph published by Springer US in the Series Cognitive and Neural systems entitled Invariants of Behavior (2012).
Andrea Omicini
I am Full Professor at the Alma Mater Studiorum, the University of Bologna. As a researcher, I am currently working on multi-agent systems, intelligent systems engineering, computational logic, explainable AI, agreement technologies. As a professor, I am currently teaching distributed systems, multi-agent systems, and intelligent systems engineering.
Tomas Perez-Acle
Biologist, PhD in Biotechnology. Director of the Centro BASAL Ciencia & Vida. Head Researcher of the Computational Biology Lab (dLab) at Fundacion Ciencia & Vida, Santiago, Chile. Research Professor at Facultad de Ingeniería y Tecnología, Universidad San Sebastián.
Michela Quadrini
Current research is focused on Artificial Intelligence, Bioinformatics, Formal methods and Languages for the modelling, analysis and verification of Distributed Systems.
José Ignacio Santos
I hold a Ph.D. in Industrial Engineering from the University of Burgos and a Bachelor's degree in the same field from the University of Valladolid. Additionally, I have earned an M.Sc. in Business Economics from UNED and an M.Sc. in Information Systems from the School of Industrial Management (EOI) in Madrid. At the outset of my career, I dedicated myself to developing methodologies for the study of complex systems, a commitment that has defined my research trajectory. My work is distinguished by a dual focus. First, I am deeply interested in employing a variety of methods and techniques—such as agent-based modeling, complex network theory, and machine learning. These approaches are instrumental in my ongoing study of complex systems. Second, I am committed to an interdisciplinary approach, actively collaborating with experts across engineering, social sciences, anthropology, and archaeology. This cross-disciplinary engagement has been crucial in tackling complex challenges, leading to significant contributions in both the social sciences and humanities and the domains of computer science and engineering.
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.
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.