ICMIMT 2024 Keynote Speakers
ICMIMT 2020 Keynote Speakers
KEYNOTE SPEAKER I IN ICMIMT 2024
Dr. Eng., IEEE Fellow, IEE Japan Fellow
Prof. Makoto Iwasaki, Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Japan
Makoto Iwasaki received the B.S., M.S., and Dr. Eng. degrees in electrical and computer engineering from Nagoya Institute of Technology, Nagoya, Japan, in 1986, 1988, and 1991, respectively. He is currently a Professor at the Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology.
As professional contributions of the IEEE, he has participated in various organizing services, such as, a Co-Editors-in-Chief for IEEE Transactions on Industrial Electronics from 2016 to 2022, a Vice President for Planning and Development in term of 2018 to 2021, etc. He is IEEE fellow class 2015 for "contributions to fast and precise positioning in motion controller design". He has received many academic, foundation, and government awards, like the Best Paper and Technical Awards of IEE Japan, the Nagamori Award, the Ichimura Prize, and the Commendation for Science and Technology by the Japanese Minister of Education, respectively. He is also a fellow of IEE Japan, and a member of Science Council of Japan. His current research interests are the applications of control theories to linear/nonlinear modeling and precision positioning, through various collaborative research activities with industries.
Title of the speech: “GA-Based Optimization in Mechatronic Systems: System Identification and Controller Design”
Abstract of the speech
Fast-response and high-precision motion control is one of indispensable techniques in a wide variety of high performance mechatronic systems including micro and/or nano scale motion, such as data storage devices, machine tools, manufacturing tools for electronics components, and industrial robots, from the standpoints of high productivity, high quality of products, and total cost reduction. In those applications, the required specifications in the motion performance, e.g. response/settling time, trajectory/settling accuracy, etc., should be sufficiently achieved. In addition, the robustness against disturbances and/or uncertainties, the mechanical vibration suppression, and the adaptation capability against variations in mechanisms should be essential properties to be provided in the performance.
The keynote speech presents practical optimization techniques based on a genetic algorithm (GA) for mechatronic systems, especially focusing on auto-tuning approaches in system identification and motion controller design. Comparing to conventional manual tuning techniques, the auto-tuning technique can save the time and cost of controller tuning by skilled engineers, can reduce performance deviation among products, and can achieve higher control performance. The technique consists of two main processes: one is an autonomous system identification process, involving in the use of actual motion profiles of system. The other is, on the other hand, an autonomous control gain tuning process in the frequency and time domains, involving in the use of GA, which satisfies the required tuning control specifications, e.g., control performance, execution time, stability, and practical applicability in industries. The proposed technique has been practically evaluated through experiments performed, by giving examples in industrial applications to a galvano scanner in laser drilling manufacturing and an actual six-axis industrial robot.
KEYNOTE SPEAKER II IN ICMIMT 2024
Prof. Andrew Kusiak, The University of Iowa, USA
Fellow of the Institute of Industrial and Systems Engineers and the Editor-in-Chief of the Journal of Intelligent Manufacturing
Dr. Andrew Kusiak is a Professor in the Department of Industrial and Systems Engineering at The University of Iowa, Iowa City. He has chaired two departments, Industrial Engineering, and Mechanical and Industrial Engineering. His current research interests include applications of computational intelligence and big data in manufacturing, automation, renewable energy, sustainability, and healthcare. He has authored or coauthored numerous books and hundreds of technical papers published in journals sponsored by professional societies, such as the Association for the Advancement of Artificial Intelligence, American Society of Mechanical Engineers, Institute of Industrial and Systems Engineers, Institute of Electrical and Electronics Engineers, and other societies. He speaks frequently at international meetings, conducts professional seminars, and consults for industrial corporations. Dr. Kusiak has served in elected professional society positions as well as editorial boards of over fifty journals, including editor positions of five different IEEE Transactions.
Professor Kusiak is a Fellow of the Institute of Industrial and Systems Engineers and the Editor-in-Chief of the Journal of Intelligent Manufacturing.
KEYNOTE SPEAKER III IN ICMIMT 2024
Assoc. Prof. Thorsten Becker, University of Cape Town, South Africa
Thorsten Becker is appointed as Associate Professor in the Department of Mechanical Engineering while holding the role of the director for the Centre of Materials Engineering at the University of Cape Town, while holding an extraordinary position in the Mechanical and Mechatronic Engineering department at Stellenbosch University. His research interest is in structural integrity: fatigue, fracture, and creep. His work aims to use advanced techniques such as digital image and volume correlation, high-resolution microscopy, and finite element modelling to measure and extract engineering parameters for structural integrity assessments. One of his keen interests lies in the additive manufacturing of metals and high-temperature applications. His work closely collaborates with local and international institutions to develop a better understanding of the inherent attributes of the process and its link with the structural performance of the material. He also acts on various professional bodies and consultants to industry, particularly in the field of Fracture Mechanics.