About



I am a Research Scientist at the Institute for Software Integrated Systems at Vanderbilt University, where my work focuses on analyzing the safety and trustworthiness of AI, as well as leveraging generative AI to automatically develop safe and robust intelligent systems. During my tenure at Vanderbilt, I have been invited worldwide to teach tutorials about my work on assurance for deep learning models and its usage in security, cyber-physical systems, and medical image domains. I previously received a PhD in Electrical Engineering from Vanderbilt University under the supervision of Dr. Taylor T. Johnson. My research was focused on the development of assurance techniques for autonomous vehicles, which was demonstrated on an unmanned underwater vehicle and a 1/10 scale autonomous remote controlled car as part of the DARPA assured autonomy program.

Education


Graduate Degrees

Ph.D. and MS in Electrical Engineering from
Vanderbilt University

Undergraduate Degree

Bachelor of Science in Physics from
Presbyterian College

Skills

Python, MATLAB, Simulink, C++, Docker, Git, Tensorflow, Keras, Pytorch

Interests

AI Safety and Trust, Deep Learning, Cyber-Physical Systems, Formal Methods

Experience


Research Scientist

August 2022 to Present: Institute for Software Integrated Systems

Graduate Research Assistant

August 2017 to August 2022: Vanderbilt University

Dissertation: Learning and Verification of Dynamical Systems with Neural Network Components
Committee: Taylor T. Johnson (adviser), Gautam Biswas, Radu Grosu, Yuankai Huo, Janos Sztivanopits


Projects

NNV & NNVMT


Neural Network Verification Toolbox & Neural Network Verification Model Translator

Assured Autonomy (DARPA)

Develop techniques and software tools for the assurance of learning enabled cyber-physical systems

F1Tenth


Autonomous Racing Car Competition

Fastest Lap @ IROS 2020 (Las Vegas Grand Prix)

NSF CPS Challenge


Autonomous Drone Recovery Mission

You can find his personal email, LinkedIn and GitHub below.

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