Bing Li just got his Ph.D. of Electrical Engineering in The City College, The City University of New York under the supervision of Dr. Jizhong Xiao at CCNY Robotics Lab. His research interests include Robotics, Computer Vision, Machine Learning, 3D SLAM, Assistive Navigation and Robot Inspection. He has much research and prototyping experience on vision-based robotics assistive navigation systems. News about my research.
Bing Li had two internship experiences with excellent deliverable results during his Ph.D. study. One was 9-month at HERE North America LLC in Chicago IL, where he was mentored by Mr. Rich Valde and worked on indoor parking garage mapping using 3D Lidar SLAM, and published a top-journal paper and filed a patent. Another one was 3-month Summer research intern at IBM China Research Lab (CRL), and he was mentored by Mr. Chao Xue and Dr. Qing Wang and researched on mobile WiFi signal strength indoor positioning using machine learning classification approaches. Prior to his Ph.D. study, he worked for the China Academy of Telecommunications Technology (Datang Telecomm) from 2009 to 2012.
Bing Li had won 2017 IEEE CYBER Best Conference Paper Award, 2017 CCNY Graduate Student Symposium Second prize winner, 2015 IEEE CLAWAR Industrial Robot Innovation Award, and 2015 IBM CRL Summer Internship Program Extreme Award.
Ph.D. in Electrical Engineering, 2018
The City College, The City University of New York
Master of Engineering, 2009
Beihang University, Beijing, China
Bachelor of Engineering, 2006
Beijing Forestry University, Beijing, China
May 28. 2018: My paper on vision-based assistive navigation is published on IEEE Transactions on Mobile Computing! Project.
May 9, 2018: I successfully defended my Ph.D. dissertation in Electrical Engineering. Thanks for the great support from my supervisor Prof. Jizhong Xiao, and the committee members: Prof. Yingli Tian, Prof. Zhigang Zhu, Prof. Yi Sun and Dr. Aries Arditi! News about my research.
Apr. 2018: Our paper “Semantic Metric 3D Reconstruction for Concrete Inspection” got accepted by the top computer vision conference: Computer Vision and Pattern Recognition (CVPR 2018) Workshop. Video.
June 2017: Our ISANA assistive navigation project got a new funding $631,000 from U.S. Department of Transportation (DOT) Federal Highway Administration (FHWA), with the excellent demonstration at the Headquarters of U.S. DOT in Washington, D.C. Project.
Field test at bridge-tunnel vertical surface at Riverside Dr, New York
Wall-climbing robot for non-destructive evaluation using impact-echo and metric learning SVM
I enjoy and have quite a bit of experience teaching as Adjunct Lecturer and Teaching Assistant during my Ph.D study.
EE 32200 Electrical Engineering Laboratory II: This requirement course introduces junior/senior students to digital electronics (sequential circuits), power supply design as well as serve as an introduction to analog electronics. The final project of this course is to build an audio amplifier.
ENGR 101 Engineering Design I: Introduce freshman students to the digital circuits including numbering systems, elements of circuit theory, counter, timing diagrams, and oscillator. The final project of this course is to build a digital clock.
I have been a Teaching Assistant for multiple courses, such as:
I am passionate about helping students, and I have mentored multiple years Senior Capstone Projects: