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Kaleem Nawaz Khan
Senior Perception Research Engineer specializing in multi-sensor autonomous driving systems
Rochester, NYGraduate Research Assistant10 years experienceSeniorAutonomous VehiclesTransportation & LogisticsAutomotive
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About
Robotics/perception engineer who led and owned ARC, a cooperative perception system for autonomous vehicles that aligns and fuses multi-vehicle LiDAR point clouds in real time. Built a ROS-based multi-node pipeline with grid-based spatial reasoning and motion-compensated data sharing, achieving <20 ms compute latency and sub-7 cm alignment error; accepted to ACM SenSys 2026.
Experience
Graduate Research AssistantRochester Institute of Technology
Summer Research InternGeneral Motors
Graduate Teaching AssistantRochester Institute of Technology
Research Team LeadNational Center of AI
LecturerUET Mardan
InstructorFAST-National University
Education
Rochester Institute of Technologydoctorate, Computer Science (2027)
FAST-National Universitymaster, Computer Science (2017)
Key Strengths
- Led and owned an end-to-end cooperative perception system (ARC) for autonomous vehicles
- Designed anchor-based point cloud alignment reducing reliance on GPS/HD maps
- Achieved <20 ms fusion compute latency with sub-7 cm alignment error (validated on real-world and simulation data)
- Bandwidth-efficient multi-vehicle sharing via occupied grid cell indices + motion vectors
- Strong ROS systems engineering across localization, alignment, data sharing, and fusion nodes (topics/frames/sync under delay)
- Debugged and optimized multi-vehicle fusion latency/misalignment using dense-overlap alignment + motion compensation
- Built reproducible simulation/deployment workflow using CARLA + Simu5G and Docker
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