My research focuses on behavioral ecology and biological control. I have published more than 250 papers in international journals with impact factor. I cooperate with more than 80 researchers on various research projects, including FP7 Collective Cognitive Robots and H2020 subCULTron.
I serve as Academic Editor/Executive Editorial Board Member for PeerJ, Parasitology Research, Journal of Cluster Science, Frontiers in Ecology and Evolution, Current Organic Chemistry, BioMed Research International, Asia Pacific Journal of Tropical Biomedicine and many others.
A Research Associate of the Belgian Fonds de la Recherche Scientifique--FNRS at IRIDIA, Université libre de Bruxelles.
Dr. Birattari co-authored more than 100 peer-reviewed scientific publications in the field of computational intelligence. His research interests focus on swarm intelligence, collective robotics, machine learning, and on the application of artificial intelligence techniques to the automatic design of algorithms.
Professor Emerita of Electrical Engineering & Computer Science, University of Michigan. Architect and principal author of the landmark 'Mead-Conway' text, "Introduction to VLSI Systems". Pioneering innovator of the digital e-commerce "fabless-design + silicon-foundry" microelectronics ecosystem. Elected Fellow, IEEE. Elected Member, NAE. Hon. Degrees, Trinity College and Illinois Institute of Technology. Wetherill Medal, Franklin Institute. James Clerk Maxwell Medal, IEEE.
Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.
Cornelia Fermüller’s research is in the areas of Computer Vision and Human Vision. She has studied multiple view geometry and statistics, and her work includes view-invariant texture descriptors, 3D motion and shape estimation, image segmentation, and computational explanations and predictions of optical illusions. Her recent work focuses on the integration of perception, action and high-level reasoning to develop cognitive robots that can understand and learn human manipulation actions.
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.
Takayuki Kanda is a Group Leader at ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan. He is one of the starting members of Communication Robots project at ATR. He has developed a communication robot, Robovie, and applied it in daily situations, such as peer-tutor at elementary school and a museum exhibit guide. His research interests include human-robot interaction, interactive humanoid robots, and field trials.
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and translational bioinformatics. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Lisa Meeden is a Full Professor of the Computer Science Department at Swarthmore College. She also helped to create the interdisciplinary Cognitive Science Program there. Her research focuses on the field of developmental robotics and she is particularly interested in designing general-purpose, task-independent robot control systems. She received her Ph.D. in Computer Science with a minor in Cognitive Science from Indiana University. She received her B.A. in Mathematics from Grinnell College.
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 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).
Professor at Production Engineering Department, COPPE/UFRJ, where he leads SAGE, a lab dedicated to Sustainable Production Systems through interdisciplinary research in Production Engineering, Marine Biotechnology and Analytical Chemistry (www.sage.coppe.ufrj.br). His main area of interest is the use of Multicriteria Decision Making to conduct Sustainability Life Cycle Assessment. Docteur de l’Université Paris V (Sciences Humaines Sorbonne) mention «Très Honorable». DEA Université Paris-Dauphine (Méthodes Scientifiques de Gestion) (1986). M. Sc. (COPPE/UFRJ) Industrial Engineering (1984). Mechanical and Automobile Engineer (IME, 1979). http://lattes.cnpq.br/1858173126338282