Advisory Board and Editors Adaptive & Self-Organizing Systems
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.
Bilal Khalid
Dr. Bilal Khalid received a Ph.D. in Industrial Business Administration from KMITL Business School, Bangkok, and a master’s in International Business Management from Stamford International University, Bangkok. Dr. Khalid's research interests include leadership and negotiations, digital transformations, gamification, eLearning, blockchain, big data, decarbonization, green entrepreneurial orientation, corporate social responsibility, sustainable management practices, and management of information technology. Dr. Bilal Khalid also serves as an academic editor at Journal of Computer Networks and Communication, Education Research International, and a reviewer for multiple international journals.
Yann LeCun
Director of Facebook AI Research (2013-) and Silver Professor at New York University (2003-), affiliated with: Courant Institute, Center for Data Science, Center for Neural Science, and ECE Dept. Founding director of the NYU Center for Data Science (2012-2014); Fellow,NEC Research Institute (2002-2003); Head, Image Processing Research AT&T Labs (1996-2002); Research Scientist Bell Laboratories (1988-1996).
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.
Antonia Lopes
Antónia Lopes is Associate Professor at the University of Lisbon, Portugal, since March 2006. She received a Ph.D. in Informatics at the University of Lisbon in 1999 and holds a BSc and MSc in Applied Mathematics from Technical University of Lisbon. Her research interests are mainly in the area of formal methods for software engineering. These include mathematically based techniques for the specification, modelling and analysis of various types of software intensive systems.
Pablo A Marquet
Dr. Marquet is a Chilean Ecologist, known for his contributions in the fields of macroecology, theoretical ecology, conservation, and global change, and author of 190 publications including three books. Early in his carrier he started working on the quest for general principles underlying the complexity of ecological systems that contributed to the disciplines of metabolic ecology and ecological scaling. His work on the relationship between the size of organisms and their abundance proved to be of great generality as well as his work on the evolution of body size on landmasses; connecting body size to area, evolution, and fitness. He pioneered the development of Metapopulation models in dynamic landscapes uniting concepts from epidemiology and ecology and the emergence of power laws in ecological systems, being among the first to provide empirical evidence of Self-Organized Criticality in ecological systems using the extinction record of birds in Hawaii. In parallel, he carried important work on the conservation of vertebrate species and on the impact of climate change in the Americas and Europe. His current work focuses on the emergence of ecological diversity, the drivers and consequences of human cultural complexity and the integration of theories in ecology. He is member of the Chilean National Academy of Science, a former Guggenheim Fellow and member of the science board of several national and international organizations.
Hamid Mcheick
Dr. Hamid Mcheick is a full professor in Computer Science department at the University of Québec at Chicoutimi, Canada. He has more than 25 years of experience in both academic and industrial areas. He has done his Ph.D. in Software Engineering and Distributed System in the University of Montreal, Canada. He is working on designing of adaption distributed, smart and connected software applications; designing healthcare frameworks; and designing smart Internet of Things architecture. He has supervised many post-doctorate, PhD, master, and bachelor students. He has nine book chapters, more than 60 research papers in international journals, and more than 150 research papers in international/national conferences and workshop proceedings to his credit. Dr. Mcheick has given many keynote speeches and tutorials in his research area, particularly in Healthcare systems, Architecture Pervasive and Ubiquitous Computing, Distributed Middleware Architectures, Software Connectors, Service-Oriented Computing, Internet of Things (IoT), Smart Architectural Frameworks, Mobile Edge Computing, Fog Computing, and Cloud Computing. Dr. Mcheick has gotten many grants from governments, industrials and academics. He is a chief in editor, chair, co-chair, reviewer, member in many organizations (such as IEEE, ACM, Springer, MDPI, Elsevier, Inderscience) around the world.
Catherine E Myers
Dr. Myers joined the Neurobehavioral Research Lab at VA NJHCS in 2009 and joined NJMS as a Professor in 2011. Her research interests focus on understanding the brain substrates of learning and memory, using techniques including computational neuroscience and human experimental neuropsychology.
She has authored and co-authored over 100 peer-reviewed scientific articles and several books including the undergraduate-level textbook “Learning and Memory: From Brain to Behavior.”
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).
Sebastian Oberst
Dr Oberst works as Associate Professor at the Centre for Audio, Acoustics and Vibration (CAAV) at the University of Technology, Sydney, and is head of the Biogenic dynamics group conducting research in bioacoustics, complex dynamics, and acoustic/biogenic (meta-)materials. His research is applied to the eusociality of insects, (primarily termites, but also bees) and the structures they build, extending to their vibro-acoustic communication signals following the noise control engineering principle. Nonlinear time series analysis or methods used in engineering and physics are key elements of his research applied to the life sciences, especially behavioural ecology.