Plenary Speech & Program
Plenary Speech
Program
Special Sessions
Plenary Speech
Program
Special Sessions
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Plenary Speech
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Program
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Special Sessions
Plenary Speech
Yi-Ran Chen, Ph.D. (Fellow, IEEE)
Yi-Ran Chen, Ph.D. (Fellow, IEEE)
Biography:
Yiran Chen (Fellow, IEEE) received the Ph.D. degree from Purdue University in 2005. He is currently the John Cocke Distinguished Professor of electrical and computer engineering with Duke University, the Director of the NSF AI Institute for Edge Computing Leveraging the Next-Generation Networks (Athena) and the NSF Industry-University Cooperative Research Center (IUCRC) for Alternative Sustainable and Intelligent Computing (ASIC), and the Co-Director of the Duke Center for Computational Evolutionary Intelligence (DCEI). He received 11 best paper awards, one best poster award, and 15 best paper nominations from international conferences and workshops. He received numerous awards for his technical contributions and professional services, such as the IEEE CASS Charles A. Desoer Technical Achievement Award and the IEEE Computer Society Edward J. McCluskey Technical Achievement Award. He has been the Distinguished Lecturer of IEEE CEDA and CAS.(Based on document published on 6 February 2025).
Tsu-Chin Tsao, Ph.D. (Fellow, ASME)
Tsu-Chin Tsao, Ph.D. (Fellow, ASME)
Biography:
Tsu-Chin Tsao received the B.S. degree from National Taiwan University, Taipei, Taiwan, and the M.S. and Ph.D. degrees from the University of California, Berkeley, CA, USA.,His research interests include modeling and control of dynamic systems and mechatronics, with recent research in nano-precision positioning, laser beam target tracking, surgical robotic manipulators, and compressed-air hybrid vehicles.,Dr. Tsao is a Technical Editor of IEEE/ASME Transactions of Mechatronics. He is a Fellow of American Society of Mechanical Engineers.(Based on document published on 16 October 2014).
Hai (Helen) Li, Ph.D. (Fellow, IEEE)
Hai (Helen) Li, Ph.D. (Fellow, IEEE)
Biography:
Hai (Helen) Li (Fellow, IEEE) received the Ph.D. degree from Purdue University in 2004. She is currently the Clare Boothe Luce Professor and the Department Chair of the Electrical and Computer Engineering Department, Duke University. Her current research interests include neuromorphic circuits and systems for brain-inspired computing, machine learning acceleration and trustworthy AI, conventional and emerging memory design and architecture, and software and hardware co-design. She was a recipient of the NSF Career Award in 2012, the DARPA Young Faculty Award in 2013, the TUM-IAS Hans Fischer Fellowship from Germany in 2017, and the ELATE Fellowship in 2020. She received nine best paper awards and additional nine best paper nominations from international conferences. She is a Distinguished Lecturer of the IEEE CAS Society from 2018 to 2019 and a Distinguished Speaker of ACM from 2017 to 2020.(Based on document published on 6 February 2025).
Program
Coming soon
List of Special Sessions on Conference CACS2026
SS-01: Smart System and Its Applications
(Prof. Yung-Yao Chen, Prof. Yu-Hsiu Lin and Prof. Sin-Ye Jhong)
SS-02: Agentic and Physical AI-Driven Green Energy Transformation toward Net-Zero Energy Systems
(Prof. Chun-Wei Huang)
SS-03: Next-Generation Robotic Perception: Integrating Deep Learning and Machine Vision
(Prof. Yi-Zeng Hsieh)
SS-04: Data-driven Computational Intelligence Techniques and Applications
(Prof. Chia-Feng Juang and Prof. I-Fang Chung)
SS-05: Intelligent Mobile Robotic Systems and Applications
(Prof. Ching-Chih Tsai)
SS-06: Development of intelligent hearing aids and heart rhythm care devices
(Prof. Cheng-Yuan Chang)
SS-07: Automatic Control for Human-Robot Collaboration
(Prof. Po-Ting Lin and Prof. Yung-Yao Chen)
SS-08: Computational Intelligence Methods and Explainable AI for Evaluation and Distillation of AI Data Sets
(Prof. Chen-Chia Chuang)
SS-09: AI Based Robotics
(Prof. Wen-June Wang)
SS-10: Intelligent Control and Applications
(Prof. Gwo-Ruey Yu)
SS-11: Artificial Intelligence-Based Preclinical and Clinical Research on Alzheimer’s Disease, Epileptic EEG, and Noninvasive Brain Stimulation
(Prof. Po-Lei Lee)
SS-12: AI-Driven Perception, Prediction, and Decision-Making for Autonomous Systems
(Prof. Yu-Chen Lin)
SS-13: Evolutionary Computation and Deep Learning for Autonomous Perception and Decision-Making
(Prof. Jia Guo, Prof. Jia-cheng Li, Prof. Nobuo Kawaguchi, Prof. Masato Noto, Prof. Bin Zhang and Prof. Akiyoshi Masanori)
SS-14: System Integration and Control
(Prof. Fu-Cheng Wang)
SS-15: Applications of Generative Artificial Intelligence on Robotics
(Prof. Kuu-Young Young and Prof. Ching-Hung Lee)
SS-16: Computer Vision for Intelligent Robot Applications
(Prof. Chung-Hsien Kuo and Prof. Huei-Yung Lin)
SS-17: Data-Driven Control and Learning for Autonomous Mobile Systems
(Prof. Hsin-Han Chiang and Prof. Chia-Wen Chang)
SS-18: AI-Empowered Smart Driving Technology
(Prof. Yen-Lin Chen and Prof. Hsin-Han Chiang)
SS-19: Intelligent Control in Robotics and Energy Applications
(Prof. Sei Zhen Khong and Prof. Kai-Yi Wong)
SS-20: Multimodal AI, Computer Vision, and Intelligent Systems for Real-World Applications
(Prof. Sze-Teng Liong and Prof. Tsung-Yi Chen)
SS-21: Robotic manipulator technology and applications
(Prof. Syuan-Yi Chen and Prof. Jeng-Dao Lee)
SS-22: Robust Quantum Filter and Control Designand Their Applications to Quantum Processing and Communication
(Prof. Bor-Sen Chen)
SS-23: Development and Integration of Intelligent Medical Diagnosis and Rehabilitation Care Systems
(Prof. Chih-Min Lin)
SS-24: Integgient Monitoring and Control
(Prof. Yo-Ping Huang and Prof. Yue-Shan Chang)
SS-25: Adaptive and learning control of intelligent robotic systems
(Prof. Feng-Li Lian, Prof. Ming-Li Chiang and Prof. Li-Chen Fu)
SS-26: Advanced Guidance, Navigation and Control Systems for Unmanned Aircraft Systems
(Prof. Ying-Chih Lai)
SS-27: Real-Time Intelligent Systems and Control for Advanced Mechatronics
(Prof. Nien-Tsu Hu, Prof. Chin-Sheng Chen and Prof. Ming-Hung Lin)
SS-28: Designs and Applications of GAI based Service Robots
(Prof. Tzuu-Hseng S. Li)
SS-29: Observer-based control design for mechatronic systems
(Prof. Ming-Yang Cheng)
SS-30: Perception and Decision-Making of Intelligent Systems
(Prof. Chen-Chien Hsu, Prof. Wei-Yen Wang, Prof. Min-Jie Hsu, Prof. Cheng-Kai Lu and Prof. Wen-Lian Hsu)
SS-31: Advanced Control and Analysis for Intelligent Mechatronic Systems
(Prof. Shyh-Leh Chen and Prof. Woraphrut Kornmaneesang)
SS-32: BrainSynergy: An Open-Source AI Platform for Multimodal Neuroimaging and Applications Across the Lifespan
(Prof. Jeen-Shing Wang)
SS-33: Smart Robotics and Intelligent Systems Applications
(Prof. Yu-Kun Lin and Prof. Chiu-Hung Chen)