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Carl Hildebrandt

I am a Ph.D. graduate from the University of Virginia’s LESS Lab, where I was mentored by Dr. Sebastian Elbaum. My dissertation advanced the intersection of software testing and autonomous systems, developing innovative test generation techniques, execution strategies, and adequacy metrics for applications including unmanned aerial systems, self-driving cars, and autonomous robotics. I currently apply my expertise in software testing and autonomy as a software engineer at Nuro.

Education

Ph.D., Computer Science

June 2024
University of Virginia

Advised by: Sebastian Elbaum

B.Eng., Computer Engineering

Dec 2016
University of Pretoria

Positions Held

Graduate Research Assistant

Department of Computer Science, University of Virginia, LESS Lab

August 2018 — June 2024

Head of Technology

Vuetech Health Innovations LLC

November 2019 — July 2022

Graduate Research Intern

Raytheon BBN

May 2022 — August 2022

Graduate Research Assistant

Department of Computer Science, University of Nebraska, NIMBUS Lab

July 2017 — July 2018

Software Engineer

Cheesecake Trails

January 2017 — July 2017

Publications

ODD-diLLMma: Driving Automation System ODD Compliance Checking using LLMs



International Conference on Intelligent Robots and Systems (IROS)
2024

PhysCov: Physical Test Coverage for Autonomous Vehicles



International Symposium on Software Testing and Analysis (ISSTA)
2023

Mimicking Real Forces on a Drone Through a Haptic Suit to Enable Cost-Effective Validation



International Conference on Robotics and Automation (ICRA)
2023

Preparing Software Engineers to Develop Robot Systems



International Conference on Software Engineering: Software Engineering Education and Training Track (ICSE-SEET)
2022

World-in-the-Loop Simulation for Autonomous Systems Validation



International Conference on Robotics and Automation (ICRA)
2021

Feasible and Stressful Trajectory Generation for Mobile Robots



International Symposium on Software Testing and Analysis (ISSTA)
2020

Blending Kinematic and Software Models for Tighter Reachability Analysis



International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track (ICSE-NIER)
2020

Fire-Aware Planning of Aerial Trajectories and Ignitions



International Conference on Intelligent Robots and Systems (IROS)
2018

[Paper] [Video]

Patents

Systems and Methods for Safety, Security and Well-Being of Individuals



US Patent: US11688265B1
2023

[Patent]

Systems and Methods for Safety, Security and Well-Being of Individuals



US Patent: US11282367B1
2022

[Patent]

Awards and Honors

University of Virginia - All-University Graduate Teaching Award, April 2023
University of Virginia - Graduate Teaching Award, May 2022
University of Virginia Research Symposium - Best Poster, September 2021
The University of Virginia Research Symposium - Best Presentation, September 2020
ACM SIGSOFT ISSTA - Distinguished Artifact Award, July 2020
IEEE/RSJ IROS - Best Paper Award on Safety, Security, and Rescue Robotics, October 2018

Teaching

• Supporting Instructor: Robotics for Software Engineers • The University of Virginia - 2022
• Lab Designer and Guest Lecturer: Robotics for Software Engineers • The University of Virginia - 2021
• Lab Designer and Teaching Assistant: Robotics for Software Engineers • The University of Virginia - 2020
• Head Teaching Assistant: Data Structures and Algorithms in Java • The University of Pretoria - 2016
• Head Teaching Assistant: Program Design in C++ • The University of Pretoria - 2015
• Teaching Assistant: Data Structures and Algorithms in Java • The University of Pretoria - 2015
• Teaching Assistant: Introduction to Programming in C • The University of Pretoria - 2014

Service

• IROS 2024: Technical Track Paper Reviewer
• ASE 2022: Artifact Reviewer
• UVA 2022: Graduate Student Council
• ICRA 2022: Technical Track Paper Reviewer
• ICSE 2021: Student Volunteer