Prof. Tao Ye | AI Accelerator | Best Researcher Award

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Prof. Tao Ye | AI Accelerator | Best Researcher Award

Prof, The Chinese University of Hong Kong, China

Dr. Terry Tao Ye is a renowned professor and researcher specializing in electrical and electronic engineering, nanotechnology, and smart sensing systems. Currently affiliated with the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), he has made significant contributions to the fields of RFID systems, embedded platforms, and wearable electronics. With a rich career spanning academia and industry, Dr. Ye has played pivotal roles in developing foundational technologies and fostering cutting-edge research in China and internationally. 🌏🔬

Publication Profile

Summary of Suitability for Best Researcher Award – Prof. Tao Ye

Dr. Terry Tao Ye is a prolific researcher and leader with groundbreaking contributions in nanoscience, wearable sensors, and SoC design. His extensive high-impact publications, prestigious grants, and interdisciplinary innovations demonstrate exceptional research excellence and influence, making him highly deserving of the Best Researcher Award.

🎓 Education Background

Dr. Ye holds a Ph.D. in Electrical Engineering from Stanford University, California, USA (1995–2004), where he researched Systems-on-Chip and Embedded Systems under the guidance of Dr. Giovanni De Micheli. He earned his B.Eng. from the Department of Electronic Engineering at Tsinghua University, Beijing, China (1988–1993), solidifying a strong foundation in electronics and communication engineering. 📘🎓

💼 Professional Experience

Dr. Ye has held multiple esteemed academic and industrial positions. He is currently a Professor at CUHK-Shenzhen (2025–present) and also at SUSTech (2018–present). He holds an adjunct professorship at Carnegie Mellon University since 2015 and has served in leadership and professorial roles at Sun Yat-Sen University and the Joint Institute of Engineering with CMU. His industry experience includes significant roles at Impinj Inc. in Seattle, where he led the development of RFID Gen2 standards, and Synopsys Inc., where he pioneered ASIC and EDA tools. His early career also includes roles at the Hong Kong LSCM R&D Center and Silicon Architects, contributing to foundational IC design technologies. 🧑‍🏫💻📡

🏅 Awards and Honors

Dr. Ye has secured over 30 competitive research grants as principal investigator or core member, spanning national, provincial, and institutional levels. Notably, his work has been funded by the National Science Foundation of China (NSFC), the Guangdong Provincial Key-Area R&D Program, and Shenzhen Science and Technology Program. His contributions to RFID, smart sensing, and embedded design have earned him widespread recognition in academia and industry. 🏆📑

🔬 Research Focus

Dr. Ye’s research interests include System-on-Chip design, embedded systems, energy-efficient interconnects, wearable electronics, flexible sensors, and e-textiles. He is currently leading projects on electronic skin, wireless medical devices, and high-frequency signal integrity in textile-based circuits. His interdisciplinary work bridges hardware design, signal processing, and biomedical applications. 🧠⚙️📲

🔚 Conclusion

With an outstanding blend of academic excellence and industrial innovation, Dr. Terry Tao Ye stands as a thought leader in electrical engineering and emerging smart technologies. His contributions to research, education, and global collaboration continue to shape the future of intelligent systems and nanotechnology. 🌟📡🔋

📚 Top Publications with Details

RV-SCNN: A RISC-V Processor With Customized Instruction Set for SNN and CNN Inference Acceleration on Edge Platforms, IEEE TCAD, 2025

Cited by: 12

Optimizing CNN Computation Using RISC-V Custom Instruction Sets for Edge Platforms, IEEE Transactions on Computers, 2024

Cited by: 2

Smartphone administered pulsed radio frequency energy therapy for expedited cutaneous wound healing, npj Digital Medicine, 2025

Cited by: 51
Polyelectrolyte-based wireless and drift-free iontronic sensors for orthodontic sensing, Science Advances, 2025

Cited by: 4

Parasitic Capacitance Modeling and Measurements of Conductive Yarns for e-Textile Devices, Nature Communications, 2023

Cited by: 8

Exploring RFID Technology for Wireless Control of Smart Antennas”, IEEE Internet of Things Journal, 2024

Cited by: 24

e-Bandage: Exploiting Smartphone as a Therapeutic Device for Cutaneous Wound Treatment”, Advanced Intelligent Systems, 2024

Cited by: 39

Ao Guo | Artificial Intelligence | Best Researcher Award

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Mr. Ao Guo | Artificial Intelligence | Best Researcher Award

Master’s student, Xinjiang University, China

📚 Ao Guo is a dedicated postgraduate researcher at Xinjiang University with a focus on the innovation, optimization, and application of object detection technology. Currently pursuing a master’s degree in Electronic Information, Ao Guo has a robust background in computer vision, deep learning, pattern recognition, and image processing. He is committed to enhancing the accuracy and efficiency of object detection algorithms, contributing to both academia and industry.

Profile

Google Scholar

 

Education

🎓 Master’s Degree in Electronic Information – Xinjiang University, Urumqi, China
Ao Guo is advancing his studies in Electronic Information, focusing on the intersection of computer vision and deep learning to address real-world problems.

Experience

Ao Guo has been deeply involved in research aimed at optimizing deep learning models for intelligent weed management in agricultural environments. His work on a lightweight weed detection model, which incorporates global contextual features, is recognized for its high detection speed and accuracy, particularly suited for resource-constrained edge devices.

Research Interests

Ao Guo’s research interests encompass weed detection, deep learning, YOLO (You Only Look Once) models, attention mechanisms, and the development of lightweight networks. His innovative approach to integrating global information capture mechanisms into detection algorithms stands out in his field.

Awards

Ao Guo’s contributions to the field have been acknowledged through his publications and patent. Notably, he has published a paper in the highly reputed journal “Engineering Applications of Artificial Intelligence,” and he holds a patent for a lightweight weed detection method and device.

Publications

A lightweight weed detection model with global contextual joint features. Engineering Applications of Artificial Intelligence, 136, 108903. Link – Cited by: Article on Engineering Applications of Artificial Intelligence.