Short Bio

I completed my doctoral research from the Department of Computer Science and Engineering at the University of South Florida (USF) and defended my dissertation in fall 2023. Under the supervision of Dr. Hao Zheng, my work makes significant contributions to the field of specification mining and high-level synthesis. I earned my BSc in Computer Science and Engineering from Khulna University of Engineering and Technology in 2017 and my MS in Computer Engineering from USF in 2021.

Currently, I am a postdoctoral research associate at the University of Central Florida, with a courtesy postdoc position at the University of Florida working under the supervision of Dr. Rickard Ewetz at the AI and Emerging Computing Lab. My postdoctoral work is part of the DARPA-funded ANSR project, where I focus on developing hybrid AI algorithms that combine neuro-symbolic reasoning with data-driven learning to create trustworthy autonomous systems. My research emphasizes enhancing the perception capabilities of autonomous drones in resource-constrained environments, integrating advanced technologies like ROS2 and Docker multi-container systems.

During my time as an intern at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA, I worked under the mentorship of Dr. Toshiaki Koike-Akino and I designed FPGA solutions for real-time signal processing applications, further enhancing my expertise in the field of high-level synthesis.

Research Interests

My research interests are centered around the development of secure, efficient, and evolvable computing and cyber architectures using machine learning. Specifically, I am interested in the broader areas:

• Computer Aided Design (CAD) for VLSI
• Computer Architecture
• Computer Vision
• Neuro-Symbolic Reasoning

Additionally, I specialize in applying AI to hardware-software co-design, multi-objective optimization in HLS, and micro-architecture design for energy-efficient SoCs. Through my research, I aim to push the boundaries of what is possible in computing, making computing more secure, efficient, and adaptable to future challenges.

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