Advisory Board and Editors Adaptive & Self-Organizing Systems
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).
Stefano Nolfi
Stefano Nolfi is one of the founders of Evolutionary Robotics and the director of one of the most active research lab in this area. His research activities focus on the evolution and development of behavioural and cognitive skills in natural and artificial embodied agents (robots). He authored/co-authored more than 150 peer-reviewed scientific publications including a monograph book on Evolutionary Robotics published by MIT Press in 2000 (more than 1400 citations).
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.
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.
Radia Perlman
Inventor of innovations that make today's network protocols scalable, robust, and self-organizing. In particular, link state routing, spanning tree, and TRILL. Also, innovations in security including distributed algorithms resilient against malicious participants, assured expiration of data from storage, and PKI trust models.
Awards
- National Inventors Hall of Fame induction (2016)
- Internet Hall of Fame induction (2014)
- SIGCOMM Award (2010)
- USENIX Lifetime Achievement Award (2006)
- Recipient of the first Anita Borg Institute Women of Vision Award for Innovation in 2005
- Silicon Valley Intellectual Property Law Association Inventor of the year (2003)
- Honorary Doctorate, Royal Institute of Technology (June 28, 2000)
- Twice named as one of the 20 most influential people in the industry by Data Communications magazine: in the 20th anniversary issue (1992) and the 25th anniversary issue (1997). Perlman is the only person to be named in both issues.
- Fellow of the Association for Computing Machinery, class of 2016
Marco Piangerelli
Dr. Marco Piangerelli had his M.Sc. in Bioengineering from the University of Bologna and got his Ph.D. in Computer Science from the University of Camerino, where he is currently a Research Associate. His research interests are mainly on Unsupervised techniques for Machine Learning and Data Science in Manufacturing and Bio Science, Self-Adaptive Systems, and Topological Data Analysis. He is the author of many publications and was a PC member for many conferences and Workshops (AAAI-MAKE 2022-23-24 Spring Symposium, SACAIR 2023, DESRIST 2023, ATDA2019). He co-organized the 9th International Workshop on Engineering Energy Efficient InternetWorked Smart seNsors (E3WSN ) hosted by the 37th International Conference on Advanced Information Networking and Applications (AINA) at the Federal University of Juiz de Fora, Brazil. He has experience in Technological transfer projects and actively collaborates with international companies (INGKA, Schnell S.p.A., Sigma S.p.A., and Nuova Simonelli S.P.A.) and Italian ones (Syeew S.r.l). In 2024, he will be a Visiting Researcher at Addis Ababa University (Ethiopia) to work on topics related to his research fields.
Tomaso A Poggio
Tomaso A. Poggio, is the Eugene McDermott Professor at MIT and one of the most cited computational scientists. The citation for the 2009 Okawa prize mentions his “…pioneering research ranging from the biophysical and behavioral studies of the visual system to the computational analysis of vision and learning in humans and machines.” His recent work is on a theory of hierarchical architectures for unsupervised learning of invariant representations.
Kai Qin
Kai Qin received the Ph.D. degree from the Nanyang Technological University (Singapore) in 2007. After that, he worked at the University of Waterloo (Canada) and then INRIA (France) from 2007 to 2012. He joined the RMIT University (Australia) in 2012, first as a Vice-Chancellor’s research fellow and then promoted to a lecturer. His major research interests include evolutionary computation, machine learning, computer vision, GPU computing and service computing. He is an IEEE senior member.