Smart Sensing and Robotics Group @ Tsinghua

WenboDing 

PI: Wenbo Ding Ph.D.
Chinese Character “丁文伯”
Tenure-Track Assistant Professor, Ph. D. Supervisor
Smart Sensing and Robotics (SSR) Group
Internet of Things and Societal Cyber Physical Systems Lab (Lab-2c)
Tsinghua-Berkeley Shenzhen Institute
Shenzhen, Guangdong 518055

Wenbo 

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Research Interests

We conduct the interdisciplinary research in the emerging field of robotics, machine learning and human-machine interfaces. My goal is to touch and break the boundary between materials, devices, circuits, systems and algorithms.

  • Robotic Sensing and Swarm Robots

  • Wearable systems and Human-Computer Interfaces

  • Smart sensing algorithms

  • Federated learning / Reinforcement learning and applications in medical and swarm systems

Contact

I am always looking for the self-motivated students with the background of electrical engineering, electronic engineering, computer science, mechanical engineering and materials science, and especially the ones who enjoy the experience to build up a working system. If you are interested in working with us as a PostDoc or PhD / Master / Visiting student, please contact me. For those applying for the TBSI graduate programs (master and PhD), please remeber to choose the Big data and artificial intelligence direction.

Email: ding.wenbo at sz.tsinghua.edu.cn;   vincentdwb at gmail.com
Web: https://ssr-group.net/ TBSI Official Website

Address
Room 1105, Information Technology Building
Tsinghua Shenzhen International Graduate School
Shenzhen, Guangdong 518055

News

  • [2021/07] Invited to serve on the Editorial Board for Digital Signal Processing.

  • [2021/06] Our work on bending sensor for human-machine interface has been accepted by Nano Energy (IF: 17.881). Congrats to Yang and Zihan, it is a project originated from my self-powered system course.

  • [2021/06] The US patent on “Self-powered wireless optical communication systems and methods” has been granted. Thanks to all the inventors.

  • [2021/05] Invited to attend the ACM Turing Award Celebration Conference 2021, see you in the career development panel in Hefei.

  • [2021/04] Our proposal for Ubicomp/ISWC 2021 workshop “The 4th Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing” has been approved. Your support and attention are warmly welcomed. Link for more details.

  • [2021/04] Invited to join the best poster committee for NEMS 2021. See you in Xiamen!

  • [2021/04] Invited to serve as the session chair for MRS Spring 2021. See you online.

  • [2021/03] Invited to join the ACM SIGBED China Youth Committee.

  • [2021/03] Honnored to receive the National Early-Career Award.

  • [2020/10] Our proposal for DSP special issue has been approved. Your support and attention are warmly welcomed. Link for more details.

  • [2019/11] My Smart Sensing and Robotics (SSR) Group was established.

About Me

Dr. Wenbo Ding is now an assistant professor and leading the smart sensing and robotics (SSR) group in Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University. He received the B.E and Ph.D. degrees (both with the highest honors) from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2011 and 2016, respectively, and then worked as a postdoctoral research fellow in Materials Science and Engineering at Georgia Tech, Atlanta, GA, under the supervision of Professor Z. L. Wang from 2016 to 2019. He has published over 70 journal and conference papers and received many prestigious awards, including the National Early-Career Award, the IEEE Scott Helt Memorial Award for the best paper published in IEEE Transactions on Broadcasting, the 2019 Natural Science Award (Second Prize) from Institute of Electronics, the Gold Medal and Special Prize at the 47th International Exhibition of Inventions of Geneva, the Tsinghua Top Grade Scholarship (highest student honor in Tsinghua), the Tsinghua Lin Feng Counsellor Prize (highest student mentor honor in Tsinghua). His research interests are diverse and interdisciplinary, which include self-powered sensors, energy harvesting, wearable devices for health and soft robotics with the help of signal processing, machine learning and mobile computing.

His detailed CV can be found here.

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