Advisory Board and Editors Agents & Multi-Agent Systems

Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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James Hendler

Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI. He is a Fellow of the AAAI, the BCS, the IEEE and the AAAS. He is the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) , and was the first computer scientist to serve on the Board of Reviewing editors for Science.

Jeffrey O Kephart

IBM Research scientist known for seminal work on computer virus epidemiology and immunology, emergent behavior of economies involving software agents, and autonomic (self-managing) computer systems. Author of over 150 refereed papers (h-index > 50) and over 30 issued patents. Led data center energy initiative resulting in multiple commercial offerings from IBM's software, systems and services divisions. Awarded IEEE Fellow for leadership and technical contributions to autonomic computing.

Faizal Khan

Dr. Z. Faizal khan is currently working as an assistant professor at the Department of Computer Science in the College of Computing and Information Technology (CCIT), Shaqra University, the Kingdom of Saudi Arabia. His research interests includes Artificial Intelligence, Intelligent based Systems, Image Processing and pattern Recognition.

Renaud Lambiotte

Renaud Lambiotte is professor in the department of Mathematics of the University of Namur. He is interested in different aspects of complex systems, with a particular focus on complex networks. His recent research includes the development of algorithms to uncover information in large-scale networks, the study of empirical data in social and neuronal systems, and the mathematical modelling of human mobility and diffusion on networks.

Zhiyi Li

Dr. Zhiyi Li received his Ph.D. degree in Electrical Engineering from Illinois Institute of Technology in 2017. He received an M.E. degree in Electrical Engineering from Zhejiang University (Hangzhou, China) in 2014 and a B.E. degree in Electrical Engineering from Xi’an Jiaotong University (Xi’an, China) in 2011. From August 2017 to May 2019, he was a senior research associate at Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology. Since June 2019, he has been with the College of Electrical Engineering, Zhejiang University(Hangzhou, China) as a research professor. His research interests lie in the application of state-of-the-art optimization and control techniques in smart grid design, operation and management with a focus on cyber-physical security. He has already authored/co-authored over 60 refereed journal articles in these areas. He is an associate editor of 4 other international journals (IEEE Access, Journal of Modern Power Systems and Clean Energy, Journal of Electrical Engineering and Technology, and IET Journal of Engineering) and a reviewer of over 30 international journals (including IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, and IEEE Transactions on Power Delivery).

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).

Charles Ofria

Professor of Computer Science at Michigan State University; Director of the Digital Evolution Laboratory and Deputy Director of the BEACON Center for the Study of Evolution in Action.

Charles Ofria director of the Digital Evolution Laboratory. He conducts research on evolution in artificial systems and applies the results to problems in computer science and evolutionary biology. He developed Avida, a software-based research platform consisting of populations of 'digital organisms used in biological research. His work has been published in Science and Nature and his research has received international media attention in forums such as Discover Magazine, National Geographic, CNN, the BBC, New Scientist, and the New York Times.

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.

David M Pennock

David Pennock is a Principal Researcher and Assistant Managing Director of Microsoft Research in New York City, focusing on algorithmic economics. He has over sixty academic publications relating to computational issues in electronic commerce and the web, including papers in PNAS, Science, IEEE Computer, Theoretical Computer Science, Algorithmica, AAAI, EC, KDD, UAI, SIGIR, ICML, NIPS, and WWW. He has authored three patents and thirteen patent applications. In 2005, he was named to MIT Technology Review’s list of 35 top technology innovators under age 35. Prior to his current position, David worked as a Principal Research Scientist at Yahoo! Research, a Research Scientist at NEC Laboratories America, a research intern at Microsoft Research, and in 2001 served as an adjunct professor at Pennsylvania State University. He received a Ph.D. in Computer Science from the University of Michigan, an M.S. in Computer Science from Duke University, and a B.S. in Physics from Duke. His work has been featured in Discover Magazine, New Scientist, CNN, the New York Times, the Economist, Surowiecki’s The Wisdom of Crowds, and other publications.