About Me

I joined the Volkswagen Group of America (VWGoA), Innovation and Engineering Center California (IECC) as an AI engineer. Before that, I was a Post-doctoral researcher in the WINIP Lab at Northern Arizona University (NAU). I got my Ph.D. in Informatics and Computing under the supervision of Dr. Fatemeh Afghah [Personal Website] at Northern Arizona University. The title of my Ph.D. research was “Spectrum Sharing and Management in Unmanned Aerial Vehicle Network”. I received my B.Sc. and M.Sc in Electrical Engineering in 2012 and 2015 respectively. I also earned another M.Sc. in Informatics in 2019.

My role at VW spans many projects including but not limited to self-driving vehicles, AI trajectory planning, ADAS, Robotic platforms, fine-tuning Large Language Models (LLMs), and Vision Language Models (VLMs). I focused on Imitation Learning (IL) and Reinforcement Learning (RL) for trajectory planning for ADAS platforms. Recently, I have been working on LLMs and VLMs for automative domains including prompt engineering, fine-tuning, in-context learning, and Retrieval Augmented Generation (RAG).

My academic research area focuses on Unmanned Aerial Vehicle (UAV), Internet of Things (IoT) networks, and performing Dynamic Spectrum Assignment (DSA) for these kinds of networks. In my research, I target machine learning algorithms such as Reinforcement Learning (RL) to address different problems such as localizations, task allocation, scheduling, and so on. Also, I’m working on Software Defined Radio (SDR). My goal is to use a small-size SDR, Ettus B205-mini-i, on the drone and evaluate our simulated algorithms in real-world scenarios. I’m also familiar with microcontrollers, Raspberry Pi, and Nvidia Jetson Nano since I work with them as a hobby.