Bo Shang

Bo Shang

Robotics SWE & ML researcher · LiDAR-camera sync · multi-sensor pipelines · Postdoc @ CCNY

Bo Shang

Robotics software engineer & ML researcher working at the intersection of multi-sensor perception, real-time data pipelines, and deep learning. I build and deploy LiDAR + camera systems for the real world — from city-scale highway monitoring to bridge inspection robots — with a focus on the unglamorous but critical layer underneath every perception model: temporal and spatial sensor synchronization, calibration, and high-throughput data capture.

I am a Postdoctoral Scholar at the AI & Mobility Research Lab, CUNY City College of New York. My production work spans ROS-based robotics stacks, NVIDIA Jetson edge inference, CNN-based 3D object detection, and AWS-backed inspection workflows deployed with New York City agencies.

Hire me as…

Same engineer, two role-targeted resumes:

  • 🤖 Robotics Software Engineer — LiDAR + multi-camera pipelines, sensor synchronization & calibration, ROS, real-time data systems, DepthAI, MCAP/Protobuf.
  • 🧠 Machine Learning Engineer — 3D/2D CNN object detection, multimodal fusion, model training and cloud deployment (AWS), computer vision for safety-critical infrastructure.
  • 📚 Full Academic CV — complete record of publications, patents, teaching, and grants.

Start at the Resumes hub to pick the right view.

What I work on

  • Multi-sensor pipelines for perception — fixed highway LiDAR + camera capture, temporal/spatial alignment, calibration workflows, multi-frame reconstruction, end-to-end ingestion to training-ready datasets.
  • Robotics deployments in the wild — drone and climbing-robot platforms for bridge inspection, PID/visual-servoing controllers, autonomous clamping, ROS + Jetson + iOS control surfaces.
  • Deep learning on point clouds and imagery — CNN-based 3D detection, vulnerable-road-user sensing, contrastive learning for defect mapping, models deployed on AWS for scalable inspection.
  • AI-first developer tooling — using LLM agents (including this site, built with Claude Code) to keep documentation, resumes, and project pages aligned with what I’m actually shipping.

Selected publications

  1. Bo Shang et al. Sensing Perspectives on Vulnerable Road User Monitoring for Traffic Safety: A Survey. MobiSPC 2025.
  2. Bo Shang et al. How Many Beams of LiDAR is Enough for Detecting Vulnerable Road Users? MobiSPC 2025.
  3. Jinglun Feng, Bo Shang et al. Robotic Inspection and Data Analytics to Localize and Visualize the Structural Defects of Concrete Infrastructure. IEEE T-ASE 2025. Selected for IEEE IROS 2025.

See Publications for the full list.