Research Scientist Resume
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Last updated: 2026-10-01
Bo Shang, Ph.D.
Research Scientist | Robotics & Multimodal Perception
New York, NY
bshang@umd.edu · +1 (929) 520-0488 · Website · Google Scholar · ORCID
Robotics and AI researcher focused on reliable perception and field robotics for transportation and infrastructure. Combines multimodal sensing, computer vision, and experimental evaluation with working robotic systems. Research spans roadside LiDAR, vulnerable-road-user safety, robotic inspection, and vision-based UAV control.
Selected Research Experience
University of Maryland · Jul 2026 - Present
Postdoctoral Associate, Civil and Environmental Engineering / Maryland Transportation Institute
- Develop and integrate hardware and software for two sponsored transportation research projects under Professor Xianfeng Yang; support system testing, field data collection, and technical deliverables.
- Connect research requirements with working sensing systems through troubleshooting, documentation, and review of data quality.
The City College of New York, CUNY · Jul 2025 - Jun 2026
Postdoctoral Scholar, AI & Mobility Research Lab
- Developed roadside LiDAR-camera research workflows covering capture, synchronization, calibration, reconstruction, annotation, and road-user detection for transportation safety.
- Investigated cross-configuration generalization and evaluated models across sites with different sensor beam counts, frame rates, and mounting geometries; published first-author work on LiDAR sensing and vulnerable-road-user detection.
The City College of New York, CUNY · Dec 2022 - Dec 2024
Postdoctoral Researcher, Robotics Lab
- Developed CNN-based structural-defect analysis and robotic inspection workflows linking sensing, cloud inference, 3D reconstruction, and engineering review.
- Built an iOS interface for a climbing inspection robot and integrated human review into inspection-data workflows; co-authored research in IEEE Transactions on Automation Science and Engineering.
Missouri University of Science and Technology · Jan 2020 - Nov 2022
Postdoctoral Fellow
- Developed UAV guidance and clamping-robot components for bridge inspection, combining embedded perception, control, and system testing.
- Integrated ROS, NVIDIA Jetson, Raspberry Pi, and inter-robot communication; co-inventor on U.S. Patent 12,296,994 B2, granted in 2025.
Education
Northeastern University, China · 2013 - 2020
Ph.D., Pattern Recognition and Intelligent Systems
University of California, Merced, USA · 2015 - 2017
Exchange doctoral research
Selected Research
Reliable roadside perception · Nov 2024 - Jun 2026
- Investigated how reduced LiDAR beam coverage affects vulnerable-road-user detection, using comparative model evaluation to examine sensing limits.
- Developed a roadside safety-auditing framework linking trajectories, iterative human quality assurance, and near-miss analysis; a heavy-vehicle/bicycle case distinguished lateral intrusion from longitudinal collision risk.
Vision-based control for field robotics · 2015 - 2019
- Developed and evaluated vision-based guidance and fractional-order control methods for quadrotor UAVs, including precision hovering with longer sampling periods; published first-author work in Nonlinear Dynamics.
Selected Publications
Roadside LiDAR for Cooperative Safety Auditing at Urban Intersections: Toward Auditable V2X Infrastructure Intelligence. Bo Shang, Yiqiao Li. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 757–765, 2026. [Conference paper] PDF Record
Investigating the LiDAR Beam Count Needed for Effective Vulnerable Road User Detection. Bo Shang, Yiqiao Li, Jie Wei, Camille Kamga. Procedia Computer Science, vol. 265, pp. 358–365 (MobiSPC 2025), 2025. [Conference paper] DOI
Robotic Inspection and Data Analytics to Localize and Visualize the Structural Defects of Concrete Infrastructure. Jinglun Feng, Bo Shang, Ejup Hoxha, César Hernández, Yang He, Weihan Wang, Jizhong Xiao. IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 22324–22336, 2025. [Journal article] DOI Record
Technical Expertise
Research and evaluation: Cross-site evaluation, dataset and configuration versioning, annotation quality assurance, model evaluation, failure analysis, and reproducible research workflows.
Robotics and sensing: LiDAR, RGB/RGB-D cameras, sensor synchronization and calibration, ROS / ROS 2, NVIDIA Jetson, embedded Linux, visual SLAM, and UAV perception and control.
Software and machine learning: Python, C++, PyTorch, TensorFlow, OpenCV, AWS, Docker, Git; computer vision, 3D reconstruction, data pipelines, and cloud and edge inference.
For the complete publication and appointment record, see the Academic CV.