Our Advisors: Purdue AI Racing Crew
Shreyas Sundaram is the Marie Gordon Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University, and Co-Director of the Institute for Control, Optimization and Networks (ICON). He received his Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2009, and was a Postdoctoral Researcher at the University of Pennsylvania from 2009 to 2010. He was an Assistant Professor at the University of Waterloo from 2010 to 2014. His research interests include control of distributed and multi-agent systems, fault-tolerant and secure control, game theory, and network science. Dr. Sundaram is a recipient of the National Science Foundation CAREER award, and an Air Force Research Lab Summer Faculty Fellowship. At Purdue, he received the Dean H. T. Yang Faculty Excellence Award in Leadership in Service, the HKN Outstanding Professor Award, the Outstanding Mentor of Engineering Graduate Students Award, the Hesselberth Award for Teaching Excellence, and the Ruth and Joel Spira Outstanding Teacher Award.
Dan Williams recently became a full time Purdue Professor of Practice after spending 37 years in industry developing vehicle control systems and more recently autonomous vehicles. In addition to engineering degrees (BS, MS Illinois, Ph.D. Florida Tech), he has an MBA (Florida Tech) and MA (History, Purdue). He has written over 60 papers and 35 patents on vehicle control systems, and recently authored a book on “Generalized Vehicle Dynamics.” Dan is a licensed Professional Engineer, and a fellow of SAE, ASME, and IMechE.
Our Team: Purdue AI Racing Crew
Advisor: Dr. Labi
Subteam: Operations
Degree Program: MS Civil Engineering
Start Year in Program: 2022
Graduation Date: 2025
Background: Experienced in project management and logistics.
Research Interests: Works on operations management for autonomous racing, intelligent transportation systems, etc.
Advisor: Dr. Shaver
Subteam: Controls
Degree Program: Phd Mechanical Engineering
Start Year in Program: 2023
Graduation Date: 2027
Background: Focuses on autonomous robotics, control systems, and simulation; background in Mechanical Engineering at Purdue.
Research Interests: Researches localization and sensor fusion techniques for robust vehicle state estimation in high-speed racing.
Advisor: Dr. Williams
Subteam: Controls
Degree Program: Phd Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2030
Background: Rutgers graduate with Lockheed Martin experience; specializes in controls, perception, and autonomous systems.
Research Interests: Studies autonomous vehicle safety systems, emphasizing redundancy and fail-safe mechanisms and software architecture engineering.
Advisor: Dr. Sundaram
Subteam: Perception
Degree Program: Phd Electrical Engineering
Start Year in Program: 2025
Graduation Date: 2030
Background: Interested in planning and decision-making under uncertainty.
Research Interests: Researches planning and behavior prediction for safe and efficient racing maneuvers.
Advisor: Dr. Labi
Subteam: Perception
Degree Program: Phd Civil Engineering
Start Year in Program: 2022
Graduation Date: 2027
Background: Specializes in lidar-based mapping and sensor fusion.
Research Interests: Researches lidar perception pipelines for real-time mapping and obstacle detection.
Advisor: Dr. Williams
Subteam: Controls
Degree Program: MS Mechanical Engineering
Start Year in Program: 2024
Graduation Date: 2025
Background: U.S. Air Force Academy graduate with expertise in longitudinal control, robotic sensing, and vehicle dynamics.
Research Interests: Researches longitudinal control for acceleration and braking optimization in autonomous racing.
Advisor: Dr. Sundaram
Subteam: Perception
Degree Program: MS Mechanical Engineering
Start Year in Program: 2024
Graduation Date: 2025
Background: Skilled in UAVs, ROS, IoT, and embedded systems; works on camera and lidar perception.
Research Interests: Researches camera-based perception and sensor fusion for robust object detection.
Advisor: Dr. Williams
Subteam: Support
Degree Program: Undergraduate Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2029
Background: Background in vehicle systems and robotics fundamentals.
Research Interests: Supports systems engineering tasks, focusing on hardware and integration support.
Advisor: Dr. Williams
Subteam: Controls
Degree Program: MS Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2027
Background: West Point graduate with leadership experience as Cadet Platoon Sergeant and focus on control systems.
Research Interests: Researches lateral control systems to improve autonomous racing vehicle handling.
Advisor: Dr. Shaver
Subteam: Support
Degree Program: Undergraduate Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2026
Background: Skilled in Constro.s CAD and prototyping of mechanical subsystems.
Research Interests: Assists with systems engineering and component design for racing integration.
Advisor: Dr. Shaver
Subteam: Controls
Degree Program: Phd Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2028
Background: Specializes in energy systems and powertrain dynamics.
Research Interests: Investigates control strategies for optimizing powertrain performance and efficiency.
Advisor: Dr. Sundaram
Subteam: Perception
Degree Program: MS Electrical Engineering
Start Year in Program: 2024
Graduation Date: 2026
Background: U.S. Army officer and perception engineer; expertise in LiDAR, ROS, and defense-oriented autonomous systems.
Research Interests: Focused on lidar-based perception for high-speed environment recognition.
Advisor: Dr. Sundaram
Subteam: Planning
Degree Program: MS Electrical Engineering
Start Year in Program: 2021
Graduation Date: 2026
Background: Works across planning, controls, perception, and simulation; experienced in localization and telemetry.
Research Interests: Works on planning algorithms integrating safety assurance and mission reliability.
Advisor: Dr. Williams
Subteam: Controls
Degree Program: MS Mechanical Engineering
Start Year in Program: 2024
Graduation Date: 2025
Background: Background in feedback control design with SAE experience at the undergraduate level.
Research Interests: Focused on lateral control strategies to enhance cornering and lane stability at high speeds.
Advisor: Dr. Williams
Subteam: Controls
Degree Program: Phd Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2030
Background: Background in control systems and vehicle dynamics. Riverside California graduate.
Research Interests: Works on longitudinal control for robust braking and acceleration under extreme racing conditions.
Advisor: Dr. Williams
Subteam: Simulation
Degree Program: MS Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2026
Background: Purdue Mechanical Engineering student; co-op at Caterpillar in design and controls engineering.
Research Interests: Works on simulation frameworks for scenario-based testing and validation.
Advisor: Dr. Sundaram
Subteam: Planning
Degree Program: Phd Electrical Engineering
Start Year in Program: 2023
Graduation Date: 2028
Background: Focuses on trajectory planning and race line optimization for autonomous racing.
Research Interests: Researches planning and behavior prediction for autonomous high-speed racing.
Advisor: Dr. Shaver
Subteam: Controls
Degree Program: Phd Mechanical Engineering
Start Year in Program: 2023
Graduation Date: 2028
Background: Experienced in autonomous systems, vehicle dynamics, and control, with degrees from Wuhan University of Technology and UC Berkeley.
Research Interests: Works on lateral and longitudinal control algorithms to improve path tracking precision and vehicle stability.
Advisor: Dr. Shaver
Subteam: Support
Degree Program: Undergraduate Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2027
Background: Background in mechanical systems and basic robotics.
Research Interests: Works on systems engineering and integration tasks to support autonomous racing operations.
Advisor: Dr. Sundaram
Subteam: Simulation
Degree Program: MS Mechanical Engineering
Start Year in Program: 2025
Graduation Date: 2025
Background: Focused on robotics modeling and simulation.
Research Interests: Researches simulation-based validation and optimization for autonomous vehicle algorithms.
Advisor: Dr. Sundaram
Subteam: Perception
Degree Program: Phd Electrical Engineering
Start Year in Program: 2025
Graduation Date: 2028
Background: Strong background in computer vision and AI.
Research Interests: Studies camera perception and real-time vision algorithms for autonomous navigation.
Advisor: Dr. Williams
Subteam: Simulation
Degree Program: Phd Mechanical Engineering
Start Year in Program: 2024
Graduation Date: 2027
Background: Experienced in control systems, dynamic modeling, and autonomous navigation.
Research Interests: Develops high-fidelity simulation environments for autonomous racing validation.
Former Members
Jiqian (Frank) Dong is currently a PhD candidate at Lyles School of Civil Engineering and a graduate research assistant at Center for Connected and Automated Transportation (CCAT) at Purdue University. He is currently a developer at the perception team for PAIR. His doctoral research investigates information fusion, computer vision and control strategies, for connected autonomous vehicles (CAVs) and intelligent transportation systems (ITS) using advanced machine learning techniques including deep learning (DL) and reinforcement learning (RL).
Jelin Sabu is a Graduate Student at Purdue University, pursuing his master's degree in Construction Engineering, and is also working as a graduate research assistant under Dr. Samuel Labi. Jelin has 1 year of industry experience in core construction. He is part of the business operations team since 2024.
Haoguang Yang is a PhD. candidate from School of Engineering Technology. He joined Black & Gold Autonomous Racing in 2021 as a control engineer and became chief systems engineer in late 2022. He has rich expertise in mobile robots, Robot Operating System, dynamics and control, and embedded systems. His research interests involve software-hardware computer-aided co-design and real-time fault mitigation of control systems.