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Biography
I am deeply passionate about bringing robotic-assisted surgery into real-world scenarios, particularly through novel techniques that contribute to the healthcare industry. I completed my Ph.D. at the Technical University of Munich, Germany, under the supervision of Prof. Nassir Navab, focusing on the topic of "Intelligent Robotic Sonographers." I successfully defended my thesis with the highest distinction, “summa cum laude,” in 2022. Throughout my academic journey, I have mentored over 20 theses and lab projects, and I have published over 20 papers as the first/co-first or senior author in top-tier journals and conferences, including IJRR, MedIA, ARCRAS, TASE, TIE, TIM, RAL, ICRA, IROS, and MICCAI. Before my Ph.D., I was a research assistant at the Shenzhen Institute of Advanced Technology, China, from January 2017 to June 2018. During this time, I worked on robot-assisted spinal surgery and tele-operated eye surgery systems, where I developed a 7-DOF robotic arm with multiple sensing modalities for bone drilling or milling.
My research interests are broadly centered around developing intelligent robotic systems to enhance healthcare. In line with my personal interests and vision, my future lab will concentrate on medical robotics, addressing three key challenges: 1) dynamic scene understanding, 2) effective human-machine interaction technology and 3) fundamental sensing development for specific applications. To tackle real-world challenges, custom hardware designs tailored to individual clinical applications will ensure clinical transferability. The integration and development of multiple sensors will enable accurate surgical state perception, addressing safety concerns. Advanced learning algorithms will further enhance system intelligence by accurately interpreting real-time scenes captured by multiple sensor representations, including RGBD images, ultrasound, CT, force, ECG, etc.