Summary
Jennifer David is a senior consultant and roboticist with 11 years of experience specializing in task allocation, trajectory planning, and control for multi-robot systems and autonomous vehicles. She holds a PhD in Intelligent/Autonomous Vehicles and has combined academic research—on risk-aware motion planning and Potts spin–based task assignment—with industrial delivery at Volvo Cars, Volvo Autonomous Solutions and ABB. Jennifer has led verification and validation of HIL testbeds and vehicle rigs for AD/ADAS projects and has hands-on experience integrating ROS-based navigation on heavy trucks. Her background spans research collaborations at MIT, Lund and IRI and applied work in nuclear-robotics and logistics-focused EU projects, giving her a rare mix of theoretical depth and field-ready engineering. Based in the Gothenburg area, she also mentors students and has taught programming and mathematics, reflecting a strong commitment to knowledge transfer alongside systems development.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Intelligent / Autonomous Vehicles, Self-Driving Cars, Doctor of Philosophy (PhD), Intelligent / Autonomous Vehicles, Self-Driving Cars at Halmstad University
Metaheuristics Summer School 2018, Metaheuristics Summer School 2018 at Università di Catania
Anna University, Chennai
V-Charge Summer School - Perception and Planning for Autonomous Driving, V-Charge Summer School - Perception and Planning for Autonomous Driving at ETH Zurich
Indian Institute of Technology Madras
IEEE RAS Summer School on Multi Robot systems, IEEE RAS Summer School on Multi Robot systems at Faculty of Electrical Engineering, Czech Technical University in Prague
9th International Summer School on Planning and Scheduling - ICAPS 2016, 9th International Summer School on Planning and Scheduling - ICAPS 2016 at King's College London
English, Tamil, Hindi, Gujarati, Swedish