Ph.D. Candidate in Automotive Engineering. His research revolves around the thermal and energy management aspects of modern powertrain systems in hybrid electric vehicles, focusing on integrating tools in artificial intelligence as optimization algorithms.
Email: aghate@g.clemson.edu
GitHub: https://github.com/APGHATE1995
Research Gate: https://www.researchgate.net/profile/Atharva-Ghate-3
Google Scholar: https://scholar.google.com/citations?hl=en&user=A-SEEDUAAAAJ
PhD student at CU-ICAR, specializing in optimal controls in energy and thermal management. He holds a master's degree in Thermal Engineering from IIT Madras and another in Automotive Engineering from CU-ICAR. His research primarily focuses on optimal thermal management for batteries under extreme operating conditions, specifically utilizing heat pump systems. Anirudh's work integrates both experimental and simulation-based methodologies to advance this field.
Email: sundar@g.clemson.edu
Google Scholar: https://scholar.google.com/citations?user=hEBo3VoAAAAJ&hl=en
LinkedIn: https://www.linkedin.com/in/anirudh-sundar-1a3888b3/
PhD candidate in the Clemson University Automotive Engineering department. My research is currently focusing on enable high-speed off-road autonomy through better integration of perception into the planning/control pipeline. My interests include vehicle dynamics, computer vision, robotics, AI, big data, and optimization.
Email: bij@clemson.edu
GitHub: https://github.com/benijohn/
Research Gate: https://www.researchgate.net/profile/Benjamin-Johnson-58
Powertrain Electrification Research Associate and Ph.D. Candidate in Automotive Engineering. His research revolves around novel and conventional diesel engines in both hybrid and conventional powertrains, with a focus on airpath design, engine downsizing, and high power density concepts.
Email: evorwer@clemson.edu
GitHub: https://github.com/Erik-Vorwerk/
Research Gate: https://www.researchgate.net/profile/Erik-Vorwerk
Google Scholar: https://scholar.google.com/citations?user=5hpgCYEAAAAJ&hl=en&oi=ao
Olamide Akinyele is a Ph.D. student in the Department of Automotive Engineering, Clemson University. My research is currently focused on optimization-based control for high-speed off-road navigation. My interests include control theory, artificial intelligence, and data-driven control. Applications include robotics and vehicle dynamics.
Email: oakinye@g.clemson.edu
GitHub: https://github.com/dondavida
Research Gate: https://www.researchgate.net/profile/Olamide-Akinyele
Ph.D. student specializing in Automotive Engineering, with his research primarily concentrating on the integration of reinforcement learning techniques in the thermal and energy management of hybrid electric vehicle powertrain systems. His work aims to advance the optimization of modern powertrain systems by leveraging the potential of artificial intelligence, particularly focusing on the application of reinforcement learning algorithms.
Email: shizhay@clemson.edu
GitHub: https://github.com/Nicholas-Yang/
Research Gate: https://www.researchgate.net/profile/Shizhao-Yang-3
First year PhD student in the automotive engineering department. His current research focuses on uncertainty aware planning and control of autonomous vehicles. In the past, he has worked on the real-time implementation of motion planners for tracked vehicles.
Email: vpurohi@g.clemson.edu
GitHub: https://github.com/vasudevpurohit
Ph.D. candidate focused on 3D computer vision, specifically depth perception, 3D reconstruction, and neural radiance / light fields. He loves the research topics that impact practical applications, like autonomous driving, AR/VR, and robotics.
Email: zfeng@clemson.edu
Homepage: https://ziyue.cool
Github: https://github.com/fengziyue
Google Scholar: https://scholar.google.com/citations?user=8Zb1V70AAAAJ&hl=en
Master of Science graduated in 2023 with thesis "Diesel Aftertreatment System Modeling in GT-Suite for Reduced Emissions from Hybrid Electric Heavy-Duty Powertrains". He is current working at CNH Industrial
Ph.D. graduated in 2022 with dissertation "Efficient Assessment of Powertrain Concepts Using a Reinforcement Learning-Based Methodology". He is current working at Bosch Motorsport
Ph.D. graduated in 2022 with dissertation "Modeling, Estimation, and Optimal Control of Lithium-Ion Battery at Cell and System Level". He is current working at Apple
Qilun Zhu, Ph.D.Research Associate Professorqilun@clemson.edu(864) 283-72394 Research DriveGreenville, SC 29607