Gatik AI Research Group


The Gatik AI Research Group’s mission is to redefine the landscape of autonomous transportation through pioneering artificial intelligence research.

Through our work, we’re expediting the validation of our technology and expanding our ODD to allow us to enter new markets in shorter timeframes.


While we bring specialized expertise in developing algorithms for perception, prediction, planning, and control, our ultimate aim extends beyond the confines of any single application.

By advancing the capabilities of autonomous vehicles, we strive to enhance the safety, efficiency, and reliability of a wide array of transportation solutions, including but not limited to
B2B logistics.

Our commitment to innovation drives us to tackle the complex challenges inherent in autonomous navigation, paving the way for smarter, more sustainable mobility solutions.

Through rigorous testing, collaboration, and a dedication to technological excellence, the Gatik AI Research Group is shaping a future where autonomous driving technologies transform the efficiency of transporting goods and improve the overall mobility landscape.

See Open Roles

Reza Ahmadi, Ph.D.

Reza Ahmadi received his D. Phil. in Engineering Science (Robotics) in November, 2016 at the University of Oxford, UK, as a Clarendon Scholar. His PhD was followed by research positions at the University of Texas, Austin, TX; the Center for Autonomous Systems and Technologies (CAST) at the California Institute of Technology, Pasadena, CA; NASA Jet Propulsion Laboratory, La Canada, CA; and TuSimple, La Jolla, CA. He is the recipient of the Sloan-Robinson Engineering Fellowship, an Edgell-Sheppee Award, and an ICES Postdoctoral Fellowship. During his postdoctoral studies at Caltech, he developed safety-critical and risk-aware AI-based planning techniques for use in robotics, specifically targeting applications in bipedal robots and heterogeneous robot teams. At NASA Jet Propulsion Laboratory, Reza was involved in developing algorithms for Mars rover navigation, where his efforts contributed to the enhancement of rover autonomy and efficiency in extraterrestrial environments. Additionally, his work played a crucial role in the DARPA Subterranean Challenge, particularly in developing methods that allowed Boston Dynamics' Spot robot to autonomously navigate complex underground settings. Reza’s work has contributed significantly to the field of autonomous driving, where he has been involved in the research and development of Level 2 to Level 4 autonomous vehicles. Notably, at TuSimple, he has developed algorithms that were integral to the operation of the first driverless semi-truck to navigate public roads without a human driver. Reza has co-authored over 50 peer-reviewed articles and holds two patents in the area of autonomous robotics.

Vahid Azimi, Ph.D.

Vahid Azimi received his M.Sc. and Ph.D. degrees in Electrical Engineering from the Georgia Institute of Technology in 2020, specializing in control and optimization for safety-critical systems and robotic applications. Following this, he served as a Postdoctoral Research Fellow at Stanford University from 2020 to 2021, focusing on battery management control systems and trajectory optimization for electric vehicles. From 2021 to 2022, he served as an Assistant Professor in the Department of Mechanical Engineering at Auburn University, concentrating on control and robotics. In 2022, he transitioned to Gatik and currently holds the position of Tech Lead, Controls, where he leads endeavors in control, estimation, and optimization techniques for autonomous box trucks. His research interests include nonlinear control, model predictive control, optimization, and AI/ML-based control strategies. During his academic journey, Vahid contributed to over 60 peer-reviewed articles. While serving as an assistant professor at Auburn University, he played a pivotal role in securing a $3 million research grant in 2022 for sustainable transportation, with a specific emphasis on the trucking sector.

Amir Yazdani, Ph.D., MBA

Amir Yazdani earned his Ph.D. from the University of Utah Robotics Center, specializing in risk-aware behavior prediction and planning within the realm of human-robot interaction. Transitioning from academia to industry, he assumed the role of Senior Research Engineer at Gatik AI, where he leads the behavior prediction team and contributes to the Gatik AI Research Group. Amir's research interests center around behavior prediction, and large behavior models for autonomy, leveraging his extensive background spanning classical, probabilistic, and data-driven robotics, and human-robot interaction. Throughout his academic journey, Amir garnered numerous accolades, including the esteemed Human-Robot Interaction Pioneer in 2021 for his groundbreaking work on Risk-Aware and Ergonomically Intelligent Teleoperation Systems. Beyond his research endeavors, Amir actively contributes to the IEEE RAS Women in Engineering committee, advocating for diversity and inclusion, while also engaging with the AV, Robotics, and HRI communities. A passionate mentor, he takes pride in guiding junior researchers and engineers, particularly from minority groups, fostering their growth and success in the field.