Chair
Chun-Ming Huang, Taiwan Semiconductor Research Institute (TSRI), Taiwan
This track explores the convergence of intelligent systems, embedded computing, and advanced mechatronic design to enable next-generation neuroprosthetic technologies. It welcomes contributions that address real-time control, adaptive algorithms, sensor integration, and bio-inspired architectures for enhancing human-machine interaction and assistive mobility. Emphasis is placed on scalable multicore solutions, low-power embedded platforms, and interdisciplinary innovations bridging neuroscience, robotics, and system-on-chip design.
Topic of Interests
- Intelligent Mechatronics: Sensors, Actuators, Intelligent Control, Automotive Systems, Micro Devices, Opto-electronic Systems, Modeling, Motion Control, Robotics, Manufacturing,
- Neuroprosthetics and Neuroprosthetic technologies and devices
- Complex neural systems and communication
- Peripheral stimulation and recording
- Central stimulation and recording
- Neural stimulation and plasticity
- Functional electrical stimulation
- Deep brain stimulation
- Auditory and Cortical Prostheses
- Peripheral nerve interfaces and Microelectrode array technology
- Brain-computer interfaces
- Assistive technologies
- Augmentative and alternative communication
- Biofeedback therapy
- Privacy, security, and neuroethics
- Robotic-assisted therapy
- Virtual reality tools
- Neural interfaces and neuromodulation
- Extracellular stimulation and recording
Former Chairs
- Prof. Chun-Ming Huang, Taiwan Semiconductor Research Institute (TSRI), Taiwan, (16th IEEE MCSoC 2023)
