One Piece

Keynote Speakers of ISCMI2019

Dr. Edward Tunstel
United Technologies Research Center (UTRC)
IEEE Fellow; President of IEEE Systems, Man & Cybernetics Society

Dr. Edward Tunstel is an Associate Director of Robotics and Robotics Group Leader in the Autonomous & Intelligent Systems United Technologies Research Center (UTRC). He joined UTRC in 2017 after 10 years at Johns Hopkins Applied Physics Laboratory where he served as a senior roboticist in its research department and Intelligent Systems Center, and as space robotics & autonomous control lead in its space department. Prior to APL he was with the NASA Jet Propulsion Laboratory (JPL) for 18 years, where he was a senior robotics engineer and group leader of its Advanced Robotic Controls Group. He earned his bachelor's and master's degrees in mechanical engineering from Howard University and the Ph.D. in electrical engineering from the University of New Mexico. Dr. Tunstel maintains expertise in robotics and intelligent systems with current research interests in mobile robot navigation, autonomous control, cooperative robotics, robotic systems engineering, and soft computing applications to autonomous systems. He has authored over 150 technical publications and co-edited four books in these areas. At JPL, he worked on the NASA Mars Exploration Rovers mission as both a flight systems engineer responsible for autonomous rover navigation, and as rover engineering team lead for the mobility and robotic arm subsystems. He was involved in the daily performance assessment, planning, and operations of the Spirit and Opportunity rovers during their first four years on Mars and in early stages of the later Curiosity Mars rover design. At APL he was recently engaged in modular open systems development efforts supporting advanced explosive ordnance disposal robotic systems programs, as well as robotics and autonomy research for future national security and space applications. At UTRC, he is now additionally engaged in human-collaborative robotics enabling applications relevant to businesses spanning the aerospace and building industries, including manufacturing.
Dr. Tunstel is a Fellow of the IEEE and President of the IEEE Systems, Man, and Cybernetics Society (2018-2019). He is also a member of the IEEE Robotics and Automation Society, NSBE Professionals, and AIAA. He serves on editorial boards of several international engineering journals and interacts with academia through research collaborations, as graduate student co-advisor, and as a member of several master’s thesis and doctoral dissertation committees. Recent recognition of his accomplishments include the Lifetime Achievement in Aerospace Award from the NSBE Professionals’ Space Special Interest Group and an Honorary Professor Award from Obuda University in Budapest, Hungary in 2018.

Speech Title: "Soft Computing for Autonomous Robot Navigation Systems"

Abstract: Autonomy for navigation of robotic systems can be facilitated by distributing control and decision-making among a collection of relatively simple computational units. Such an approach requires that decision mechanisms be chosen to ensure goal-oriented interaction between such units. Using soft computing techniques, the computational units and decision mechanisms can be formulated to embed intelligent robot behavior supporting autonomous navigation and means for adaptive modulated behavior in response a robot's perceived environment. An architecture employing such techniques within hierarchical control structures of subsystems comprised of fuzzy logic controllers and knowledge-based decision systems has proven effective in a number of autonomous navigation systems. This talk presents the underlying approach with focus on its utility for autonomous navigation of mobile robots employing simple modulated behaviors. Effects of exploiting the flexibility inherent in its structure and in its decision mechanisms are discussed including the exhibition of behavioral interaction dynamics similar to those observed in natural intelligent systems. Applications of the approach to various types of mobile robotic systems are highlighted, including related soft computing applications to safe guidance for robotic landing systems and to robotic teleoperation of mobility systems.

Prof. Péter Érdi
Henry R. Luce Professor, Center for Complex Systems Studies, Department of Physics and Department of Psychology,
Kalamazoo College, Kalamazoo, MI, USA
Institue for Particle and Nuclear Physics, Wigner Research Centre, Hungarian Academy of Sciences, Budapest, Hungary

Dr. Péter Érdi serves as the Henry R. Luce Professor of Complex Systems Studies at Kalamazoo College. He is also a research professor in his home town, in Budapest, at the Wigner Research Centre of Physics of the Hungarian Academy of Sciences. In addition, he is the founding co-director of the Budapest Semester in Cognitive Science, a study abroad program. Péter is a Member of the Board of Governors of the International Neural Network Society, the past Vice President of Membership of the International Neural Network Society, member of the IEEE Computational Intelligence Society Curriculum Subcommittee, and among others as the Editor-in-Chief of Cognitive Systems Research. His books on mathematical modeling of chemical, biological, and other complex systems have been published by Princeton University Press, MIT Press, Springer Publishing house. His book RANKING. The Unwritten Rules of the Social Game We All Play is being published by the Oxford University Press, (see He has been servng as the Honorary Chair of the IJCNN 2019,

Speech Title: "Ranking: The reality, illusion and manipulation of objectivity"

Abstract: Like it or not, ranking is with us. We are in a paradoxical relationship with ranking: ranking is good because it is informative and objective; ranking is bad because it is biased and subjective and, occasionally, even manipulated. This lecture is based on a book is intended to help Readers understand the paradoxical nature of ranking procedures, and it offers strategies for coping with this paradox. Ranking begins with comparisons. We like to compare ourselves with others and determine who is stronger, richer, better, or cleverer. Our love of comparisons has led to our passion for ranking. Ranking is about becoming more organized, and we like the idea of being more organized! The practice of ranking is studied in social psychology and political science, the algorithms of ranking in computer science. Are these algorithms reflect real objectivity or its illusion only? “Reputation management” admittedly attempts to modify the ideally objective image. We all know in this room that the challenging question for the future is how to combine human and machine intelligence.

Prof. Babu Sena Paul
Director, Institute of Intelligent Systems, University of Johannesburg,
Republic of South Africa

Prof. Babu Sena Paul received his B.Tech and M.Tech degree in Radio physics and Electronics from the University of Calcutta, India. He worked as supporting engineer at Philips India Ltd from 1999-2000. He received his Ph.D. degree from the Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, India. He has attended and published over sixty research papers in international and national conferences, symposiums and peer reviewed journals. His research interests are in the area of Cyber Physical Systems, Wireless communication, channel modeling, MIMO systems, relay based communication, mobile-to-mobile communication, Machine Learning, Data Analysis etc. He has successfully supervised several postgraduate students and post-doctoral research fellows. He joined the University of Johannesburg in 2010. He has served as the Head of the Department at the Department of Electrical and Electronic Engineering Technology, University of Johannesburg from 2015 to March 2018. He is the currently serving as the Director of the Institute for Intelligent Systems, University of Johannesburg.

Speech Title: "4IR: Foundations, Possible Influence and Ongoing Investigations at University of Johannesburg"

Abstract: We are at the initial phase of the fourth industrial revolution. The fourth industrial revolution is not about a single technology but a confluence of multiple technology. This talk begins with a brief introduction to the previous three industrial revolutions and their effects. Then we talk about some of the reasons behind the advent of the fourth industrial revolution. How the current revolution is likely to affect some of the sectors like banking, health, smart cities, transportation etc. This is followed by introducing some of the ongoing work done at the Institute for Intelligent Systems (IIS) in the area of the use of machine learning for waste separation and optimization of the mines