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Péter Galambos
Óbuda University
Hungary
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Brief Bio
Peter Galambos received his M.Sc. and Ph.D. degrees in mechanical engineering from the Budapest University of Technology and Economics (BME) in 2006 and 2013 respectively. He was a Research Intern at the Toshiba Corporate Research and Development Center from 2007 to 2008, then joined to the Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA-SZTAKI), where between 2010 and 2012, he held a “Young Researcher” Scholarship of the Hungarian Academy of Sciences. From 2011 to the end of 2015 he served as a team leader in MTA SZTAKI and coordinated the development of the VirCA VR system and its research applications. He has joined to the Óbuda University in 2013 where he participates in robotics-related R&D activities and education. He is an associate professor, appointed as the director of the Antal Bejczy Center for Intelligent Robotics (Óbuda University, Budapest, Hungary). His current research interest includes telerobotics, networked control systems, nonlinear and time-delayed feedback systems and 3D Virtual Reality-based collaboration. ... More >>
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Erdal Kayacan
Aarhus University
Denmark
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Brief Bio
Erdal Kayacan received a Ph.D. degree in electrical and electronic engineering at Bogazici University, Istanbul, Turkey in 2011. After finishing his post-doctoral research in KU Leuven at the division of mechatronics, biostatistics and sensors (MeBioS) in 2014, he worked in Nanyang Technological University, Singapore at the School of Mechanical and Aerospace Engineering as an assistant professor for four years. Currently, he is pursuing his research at Aarhus University at the Department of Engineering as an associate professor.
He has since published more than 110 peer-refereed book chapters, journal and conference papers in model-based and model-free control, parameter and state estimation, and their robotics applications. He has completed a number of research projects which have focused on the design and development of ground and aerial robotic systems, vision-based control techniques and artificial intelligence. Dr. Kayacan is co-writer of a course book “Fuzzy Neural Networks for Real Time Control Applications, 1st Edition Concepts, Modeling and Algorithms for Fast Learning”. He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE). Since 1st Jan 2017, he is an Associate Editor of IEEE Transactions on Fuzzy Systems and IEEE Transactions on Mechatronics. ... More >>