Track 10

Track 10. Signal Processing, Mixed-Signal & Sensor Integration​​​

Chair: Ken Saito, Nihon University, Japan​

This track focuses on signal processing, mixed-signal design, and sensor integration for modern communication and sensing systems. It covers advanced signal processing algorithms, hardware-friendly implementations, and mixed-signal circuit techniques that bridge the analog and digital domains. The track also explores sensor integration, data acquisition, and sensor fusion for applications such as wireless sensing, IoT, and autonomous systems. Key topics include ADC/DAC design, analog front-end architectures, low-power and high-speed mixed-signal circuits, as well as robust signal processing for noisy and dynamic environments. Contributions are welcomed on algorithm development, circuit design, and system-level integration that enhance performance, efficiency, and reliability of future sensing and communication platforms.

 Submission Link: https://easychair.org/conferences/?conf=icccas2026
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Track Chair Introduction

 

Ken Saito, Nihon University, Japan

 

Biography: Ken Saito received B.S., M.S., and Ph.D. degrees in engineering from Nihon University in 2001, 2004, and 2010, respectively. He was a Research Assistant from 2007 to 2011 and an Assistant Professor from 2011 to 2017 at the same university. He was also a visiting scholar at the University of California, Berkeley. He is now a Professor at Nihon University. His current research interests include hardware neural networks, neuro-robotics, and microrobots. He is a member of the IEICE, IEEE, IEEJ, and other organizations.