Assoc. Prof. Ting Zou
Memorial University of
Newfoundland, Canada
Biography: Ting Zou received the B.Sc. degree in electrical engineering and the M.Sc. degree in automatic control engineering from Xi’an Jiaotong University, Xi’an, China, and the Ph.D. degree in robotics and mechatronics from McGill University, Montreal, QC, Canada. Afterward, she joined the Centre for Intelligent Machines of McGill University as a Postdoctoral fellow, working on the optimum design of the next-generation multi-speed transmissions for electric vehicles and nonlinear motion control of autonomous tracked vehicles for mining drilling operations. She is currently an Associate Professor with the Department of Mechanical and Mechatronics Engineering, Memorial University of Newfoundland, St. John's, NL, Canada. Her current research interests include mechanism design and control of biologically inspired robots, advanced human–robot interaction, machine learning for robotic applications, soft robots, and MEMS. Dr. Zou is a senior Member of the IEEE, and member of ASME, Canadian Society for Mechanical Engineers, and Canadian Committee for the Theory of Machines and Mechanisms.
Asst. Researcher Kuo-Chin Jong
National Institutes
of Applied Research, Taiwan
Biography: Dr. Kuo-Chin Jong received his Ph.D. degree in
Photonics and Optoelectronics from National Taiwan University,
Taipei, Taiwan, in 2010. He is currently an Assistant
Researcher at the Science & Technology Policy Research and
Information Center, National Institutes of Applied Research,
Taipei, Taiwan.
His research focuses on patent landscape
analysis, innovation strategy, and emerging technology policy.
In particular, he is interested in developing purpose-driven
innovation models and applying them to strategic foresight,
enabling policymakers and industry leaders to better
understand the evolving dynamics of advanced technologies such
as electric vertical takeoff and landing (eVTOL) aircraft. Dr.
Jong actively integrates patent analytics with innovation
frameworks to provide actionable insights that bridge science,
technology, and policy.
Asst. Prof. John Carlo Torres
National University–Lipa, Philippines
Biography: Engr. John
Carlo Torres, CCpE, is an Assistant Professor at National
University–Lipa, Philippines, and is currently pursuing his Doctor
in Information Technology (DIT) at National University,
Philippines. He earned his Bachelor of Science in Computer
Engineering from Batangas State University – The National
Engineering University and his Master of Science in Information
Technology from Lyceum of the Philippines University – Batangas.
He has more than three years of
professional IT industry experience as an administrator and
consultant, and over four years in academia as professor. His
expertise covers artificial intelligence, machine learning,
computer vision, embedded systems, robotics, and automotive
technologies.
Engr.
Torres has published and presented several research papers in
areas such as convolutional neural networks, autonomous vehicle
systems, AI-driven solutions, and industry–academia collaboration.
An internationally invited speaker, mentor, and robotics coach, he
delivers seminars and workshops on embedded systems, programming
logic, machine learning, and automotive technologies, inspiring
emerging engineers to innovate in mechatronics, control, and
robotics.
Dr.
Wesley Chorney
Mississippi State University, USA
Biography: Wesley
Chorney received a B.Sc. (hons) mathematics from Simon Fraser
University, a M.Sc. in data science from the University of
Edinburgh, and a Ph.D. in computational engineering from
Mississippi State University.
His research predominantly
focuses on the use of artificial intelligence methods applied to
the healthcare field, with a special interest in risk assessment
and robotics in cardiothoracic surgery. He has published research
in robotics, combinatorial quantum field theory, artificial
intelligence in medicine, and artificial intelligence in
agriculture.