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Biography
Dr. Thanana is a robotics and control researcher specializing in
robust and adaptive control, data-driven modeling, human–robot interaction, and soft robotics.
Since completing his Ph.D. in Science and Technlogy (Mechanical Engineering) in 2015, he has pursued several international research appointments.
He has served as a Postdoctoral Researcher, Research Associate (Faculty)em>, and later as a
Visiting Scholar at leading institutions including National Chung Cheng University
(2015-2017), Huazhong University of Science and Technology, China (2017-2019), Guangdong Technion–Israel Institute of
Technology China (2020-2021), and King Mongkut’s University of Technology Thonburi, Thailand (2022-2025).
His research vision focuses on advancing uncertainty-aware and learning-enabled control frameworks
that integrate model-based methods, model-free reinforcement learning, and Bayesian inference to achieve
robust, adaptive, and safe robot behavior. Recent contributions include novel compliant control
strategies for hydrogen-powered pneumatic artificial muscles
(IEEE Transactions on Industrial Electronics, 2022) and his current work on
Deep Stochastic State-Space Models (Deep SSSM) for
human–robot interaction and occlusion-robust visual manipulation.
These efforts aim to bridge advanced control theory with data-driven learning to leverage
next-generation applications in soft actuation, autonomous manipulation,
human–robot collaboration, and large-scale cyber-physical systems.
Honors & Awards
Postdoctoral Fellowships (international appointments) Visiting Scholar positions at leading research universities Full scholarship for Ph.D. Full scholarship for Master’s degree in Mechatronics Engineering Dean’s Award — Top 5 undergraduate students in Electrical Engineering
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