CV
Education
- PhD, Civil Engineering (Transportation), City College of New York (CCNY), New York, NY, United States (2025-now)
- PhD, Pattern Recognition and Intelligent Systems, Northeastern University, China (2013-2020)
- Exchange Ph.D. student, University of California at Merced, USA (2015-2017)
- M.E. Pattern Recognition and Intelligent Systems, Northeastern University, China (2011-2013, GPA: 3.53)
- B.E. Automation, Northeastern University, China (2007-2011, GPA: 3.42-3.74)
Work Experiences
- Jan 2025-now: Graduate Research Assistant @ Civil Engineering, CCNY
- Dec 2022-Dec 2024: Post-Doc Researcher @ CCNY Robotics Lab
- Jun 2024-Aug 2024: Instructor for Computer Engineering Summer Academy (AI module) @ Vaughn College
- Jan 2024-May 2024: Adjunct @Vaughn College of Aeronautics and Technology
- Aug 2023-Dec 2023: Adjunct Assistant Professor @ CUNY City College
- Jan 2020-Nov 2022: Post Doctoral Fellow @ Missouri University of Science and Technology
- Jan 2016-Aug 2017: Lecturer @ University of California, Merced
- Official personal page: https://engineering.ucmerced.edu/content/bo-shang
- Teaching Assistant for the course of Mechatronics, Engineering Computing (Fortran and MATLAB) and Unmanned Aerial Systems;
- Initial Designer of the laboratories for the course of Unmanned Aerial Systems.
- Aug 2015-Sep 2017: Junior Specialist @ University of California, Merced
Teaching Experiences
- ME 190: Mechatronics (UC Merced)
- ME 143: Unmanned Aircraft Systems (UC Merced)
- ME 021: Engineering Computing (UC Merced)
- ENGR 204: Electric Circuits (CUNY City College)
- MCE 355: Robotics, Mechanics and Control (Vaughn College of Aeronautics and Technology)
- SBC 012: Principles of AI (Vaughn College of Aeronautics and Technology)
- SBC 014A: Principles of Research-AI (Vaughn College of Aeronautics and Technology)
Project Experiences
- Nov 2024 – Present: Highway Traffic Monitoring using Fixed LiDAR
- Currently developing an end-to-end pipeline for traffic monitoring with fixed LiDAR systems, including background subtraction, object segmentation, and detection.
- Working on multi-frame vehicle reconstruction to generate individual vehicle models and classify moving objects such as vehicles, motorcycles, bicycles, and pedestrians.
- In the process of evaluating various CNN-based networks for object detection from LiDAR traffic data.
- Designing a flexible mechanism that enables training on one dataset and inference on another, even with different configurations.
- Dec 2022-Present: Advanced Bridge Inspection Automation System
- Spearheaded the development of a comprehensive automated system for bridge inspection, integrating cutting-edge AI, cloud technologies, and robotics
- Key Achievements:
- Engineered and trained sophisticated Convolutional Neural Networks (CNNs) for precise detection of structural damages, including cracks, spalling, and stains
- Successfully deployed AI models on AWS cloud, ensuring scalability and high-performance processing of inspection data
- Designed and implemented a custom WebODM-based platform that streamlines the entire inspection workflow, including:
- Automated damage segmentation
- 3D reconstruction of bridge structures
- Interactive visualization of inspection results
- Precise measurement of cracks in areas of interest
- Developed a handy iOS application to control and operate a specialized climbing robot, enhancing the reach and efficiency of bridge inspections
- 2020-2022: Bridge Inspection Robot Deployment System
- Developed an advanced drone system with robotic arms for automated bridge inspections
- Key Contributions:
- Engineered a sophisticated PID (Proportional-Integral-Derivative) controller to precisely manage the opening and closing mechanisms of robotic arms, ensuring optimal performance and safety during inspections
- Designed and implemented cutting-edge image processing algorithms for accurate girder detection, leveraging the computational power of NVIDIA Jetson platform
- Created a comprehensive demonstration showcasing the system’s capabilities, including autonomous flight, automatic clamping to bridge structures, and efficient traversal along inspection paths
- Integrated hardware and software components to deliver a cohesive, fully-functional prototype, significantly enhancing bridge inspection efficiency and safety
- 2020-2022: An Unmanned Aerial System of Visible Light, Infrared and Hyperspectral Cameras with Novel Signal Processing and Data Analytics;
- Programming language used: Python
- Development platforms: Ubuntu
- Technology used: Path Planning
- 2020-2021: Robot-assisted Underwater Acoustic Imaging for Bridge Scour Evaluation;
- Programming language used: Python, C++
- Development platforms: Embedded Linux, ROS, Arduino
- Technology used: Computer Vision, PID controller, etc.
- 2015-2019: Designed and implemented a drone visual servoing control system;
- Programming language used: Python
- Development platforms: Embedded Linux, Raspberry Pi
- Technology used: Computer Vision, Fractional order controller
- 2015-2017: SmarCaveDrone project with Sense-and-avoid and GPS-denied navigation;
- 2013-2014: Object tracking quadrotor UAV system based on AR.Drone and ROS;
- 2012-2013: Indoor quadrotor UAV system with LiDAR;
- 2012: Quadrotor UAV system with a camera;
- 2011: Fixed-wing UAV system with a camera;
- 2010: Line tracking smart car with infrared sensors.
Patents
- Chengdong Wu, Bo Shang, Yunzhou Zhang, Chengxi Gao, Tingting Meng. Data/image transmission device based on TCP/IP (Transmission Control Protocol/Internet Protocol) (CN 102427464 B), https://patents.google.com/patent/CN102427464A/en
- Yunzhou Zhang, Bo Shang, Chengdong Wu, Pengju Si, Internet-based interactive digital media terminal device (CN 102306237 A), https://patents.google.com/patent/CN102306237A/en
- G Chen, A Reven, B Shang, Z Shi, L Li, etc. Unmanned vehicle having flight configuration and surface traverse configuration (U.S. Patent No. 12,296,994. 13 May 2025), https://patents.google.com/patent/US12296994B2/en
Publications
- Bo Shang, Yiqiao Li, Arian Golrokh Amin, Camille Kamga and Jie Wei. Sensing Perspectives on Vulnerable Road User Monitoring for Traffic Safety: A Survey. The 22nd International Conference on Mobile Systems and Pervasive Computing (MobiSPC), August 4-6, 2025 (accepted).
- Bo Shang, Yiqiao Li, Jie Wei and Camille Kamga. How Many Beams of LiDAR is Enough for Detecting Vulnerable Road Users? The 22nd International Conference on Mobile Systems and Pervasive Computing (MobiSPC), August 4-6, 2025 (accepted).
- Jinglun Feng, Bo Shang, Ejup Hoxha, César Hernández, Yang He, Weihan Wang, Jizhong Xiao. Robotic Inspection and Data Analytics to Localize and Visualize the Structural Defects of Concrete Infrastructure. IEEE Transactions on Automation Science and Engineering, 2025.
- Ejup Hoxha, Jinglun Feng, Agnimitra Sengupta, David Kirakosian, Yang He, Bo Shang, Ardian Gjinofci, and Jizhong Xiao. Contrastive Learning for Robust Defect Mapping in Concrete Slabs using Impact Echo. Construction and Building Materials (IF 7.4, cite score 13.8), 2024.
- Zhang, Haibin, Zhenhua Shi, Liujun Li, Pu Jiao, Bo Shang, and Genda Chen. “Code-specified early delamination detection and quantification in a RC bridge deck: passive vs. active infrared thermography [J].” Journal of Civil Structural Health Monitoring (2024): 1-18.
- L. Li, B. Shang, I. Jayawardana and G. Chen, “Hardware-in-the-loop and Digital Twin Enabled Autonomous Robotics-assisted Environment Inspection [C],” 2023 6th International Symposium on Autonomous Systems (ISAS), Nanjing, China, 2023, pp. 1-5, doi: 10.1109/ISAS59543.2023.10164352.
- Genda Chen*, Liujun Li, Haibin Zhang, Zhenhua Shi, Bo Shang, Derek Edwards, Daniel McDonald, Rueil Manzambi, and Joseph Ressel. Robot-assisted, Remote Nondestructive Testing and Evaluation (rNDT&E) [J]. Material Design, 2023.
- Haibin Zhang, Pu Jiao, Liujun Li, Zhenhua Shi, Bo Shang, Genda Chen, Delamination detection of concrete bridge slab through UAV-based thermal scanning [C]. 8th World Conference on Structural Control and Monitoring (8WCSCM), 2022.
- Zhenhua Shi, Bo Shang, Haibin Zhang, Liujun Li, Genda Chen. Evaluation of User-friendliness of Several UASs in Bridge Inspection [C]. 8th World Conference on Structural Control and Monitoring (8WCSCM), 2022.
- Liujun Li, Genda Chen, Bo Shang. Mixed Reality Enabled Digital Twin for Robot-assisted Bridge element Inspection and maintenance [C]. 8th World Conference on Structural Control and Monitoring (8WCSCM), 2022
- Jiao, P., Shang, B, Li, L., and Chen, G. The ceiling effect and flight insight of unmanned aerial vehicles during proximity inspection of bridges via computational fluid dynamics modeling and simulations [C], Proceedings of the 13th International Workshop on Structural Health Monitoring, August 31 – September 2, 2021, Stanford, CA, 2021. (online on Aug 1, 2022)
- Bo Shang, Liujun Li, Pu Jiao, Rafael Cardona Huerta, Joseph Ressel, Andrew Rawlings, Buddy Scharfenberg, and Genda Chen. Drone vision-based clamping strategy for bridge inspection [Poster]. INSPIRE-UTC 2021 Annual Meeting, 2021.
- B Shang, A Reven, P Jiao, B Li, G Chen. Vision-Based Non-GPS UAV Guidance for Bridge Inspection [Poster]. INSPIRE-UTC 2020 Annual Meeting, 2020.
- A Reven, P Jiao, B Shang, G Chen. Clamping Design for Bridge Inspection Robot Deployment Systems (BIRDS) Prototype II [Poster]. INSPIRE-UTC 2020 Annual Meeting, 2020.
- A Reven, P Jiao, B Shang, G Chen. Bridge Inspection Robot Deployment Systems (BIRDS) Prototype II [Slides]. INSPIRE-UTC 2020 Annual Meeting, 2020.
- Bo Shang, Jianxin Liu, Yunzhou Zhang, Chengdong Wu, YangQuan Chen. Fractional Order Flight Control of Quadrotor UAS on Vision-based Precision Hovering with Larger Sampling Period [J]. Nonlinear Dynamics, 2019.
- Bo Shang, Chengdong Wu, YangQuan Chen. Neighborhood optimization method for shaping Bode plot with larger phase margin [C]. Proceedings of the ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), 2019.
- Bo Shang, Yunzhou Zhang, Chengdong Wu, YangQuan Chen. Fractional Order Flight Control of Quadrotor UAS: an OS4 Benchmark Environment and a Case Study [C]. International Conference on Control, Automation, Robotics and Vision (ICARCV), 2018.
- Bo Shang, Chengdong Wu, Yunzhou Zhang, YangQuan Chen. Fractional Order Flight Control of Quadrotor UAS: A Simscape Benchmark Environment and A Case Study [C]. 2018 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), Xiamen, 2018, pp. 1-6.
- Bo Shang, et al. Analysis of Maximum Possible Sampling Period for a Real-Time Vision-Based Control System [C]. ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017.
- Zhang, G., Shang, B., Chen, Y., & Moyes, H. SmartCaveDrone: 3D cave mapping using UAVs as robotic co-archaeologists [C]. 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, pp. 1052-1057.
- B. Shang, J. Liu, T. Zhao and Y. Chen, Fractional order robust visual servoing control of a quadrotor UAV with larger sampling period [C], 2016 International Conference on Unmanned Aircraft Systems (ICUAS), Arlington, VA, 2016, pp. 1228-1234.
- Bo Shang, Chengdong Wu, Yuchao Hu, Jianyu Yang. An Algorithm of Visual Reconnaissance Path Planning for UAVs in Complex Spaces [J]. Journal of Computational Information Systems, 10(19), 2014.
- Bo SHANG, Chengdong WU, Tingting MENG, Chengxi GAO, Yunzhou ZHANG. A Data/Image Transmission Device Based on TCP/IP Protocol[C]. WiCOM2012 (International Conference on Wireless Communications, Networking and Mobile Computing), 2012.
- Tingting Meng, Chengdong Wu, Bo Shang, Chengxi Gao, Yunzhou Zhang. Design of point to multi-point wireless communication system based on ZigBee[C]. WiCOM2011 (International Conference on Wireless Communications, Networking and Mobile Computing), 2011.
- GAO Chengxi, WU Chengdong, ZHANG Yunzhou, SHANG Bo, MENG Tingting. Research on remote image/data transmission based on TCP/IP protocol [J]. Mechanical & Electrical Engineering Magazine, 2011.
Reviewer Contributions
Volunteer Experiences
- 2022: Coach for FIRST Robotics Competition (K-12 level)
- 2024: Judge for VEX Robotics Competition (Middle, high school and college level)
- 2023-2024: Tutor for high school research assistant program at CCNY
- 2016: Session Chair at International Conference on Unmanned Aircraft Systems (ICUAS)
Honors and Awards
- 2025-2030: PhD Fellowship in Civil Engineering (Transportation) at CCNY
- 2021: Teaching Certificate, ACUE
- 2016: Remote Pilot Certificate for Small Unmanned Aircraft Systems, Federal Aviation Administration (FAA)
- 2015–2017: Financial Support ($38.4k) for a two-year exchange program at University of California, Merced, from the Chinese Scholarship Council (CSC)
- 2014: [Team Leader] Best System Control Award, International Aerial Robotics Competition, The Association for Unmanned Vehicle Systems International (AUVSI) Foundation, USA
- 2014: [Team Leader] Best Mission Planning Award, International Aerial Robotics Competition, AUVSI Foundation, USA
- 2010: [Programmer] Meritorious Prize, International Mathematical Contest in Modeling, USA
- 2010: First Prize, Northeastern Region, National Smart Car Competition, Freescale, China
