Liangjing Yang is an assistant professor in Zhejiang University/ University of Illinois at Urbana-Champaign (ZJU-UIUC) Institute, where he is appointed as the Vice Director of Research Division for Data and Information Sciences. He is also co-leading the Center for Adaptive, Resilient Cyber-Physical Manufacturing Networks (AR-CyMaN) under the Dynamic Research Enterprise for Multidisciplinary Engineering Sciences (DREMES).

Liangjing Yang received the B.Eng. and M.Eng. degrees in Mechanical Engineering from theNational University of Singapore (NUS) in 2008 and 2011, respectively. He obtained the D.Eng. degree from the University of Tokyo (UTokyo) in 2014 with a scholarship to work in the Bio-Medical Precision Engineering Laboratory. Before joining ZJU-UIUC Institute, he was with the Singapore University of Technology and Design (SUTD), and Massachusetts Institute of Technology (MIT) under a joint postdoctoral fellowship award.

Liangjing’s research interests are in Robotics and Computer Vision primarily focusing on biomedical applications including medical image reconstruction and image-guided surgeries. His work in UTokyo on image mapping for 3D ultrasound-guided endoscopic procedures is published in both engineering and medical journals including a self-contained image mapping system presented in Surgical Endoscopy. The work is also recognized by two awards, namely, the Young Investigator Award 2013 from International Society of Computer Aided Surgery and the Best Paper Award in ACCAS 2015 from IEEE-Engineering in Medicine and Biology Society. In NUS, he developed a robotic system for overlapping ablation of large liver tumors, which is featured in a special issue on “Surgical and Interventional Medical Devices” of ASME/IEEE Transactions on Mechatronics. In SUTD and MIT, Liangjing combines his expertise in Robotics and Computer Vision to develop a vision-guided robotic micromanipulation platform, which is published in IEEE Transactions on Automation Science and Engineering including another confidence-based hybrid visual tracking method. He holds two US patents related to an ultrasound image-guided robot and a Robotic Surgical Training System. The former technology is successfully licensed and commercialized while the latter development was named “Best Innovation in Biomedical Application” in a challenge organized by National Instrument in 2011. More information.