Mr. Rushikesh Chaukate

Assistant Professor · Computer Engineering

Mr. Rushikesh Vijay Chaukate

AI · FPGA/VLSI · Edge AI · Computer Vision

Academic educator and researcher working at the intersection of intelligent algorithms and efficient hardware systems, with interests in AI acceleration, medical image analysis, Edge AI, TinyML, embedded systems and hardware–software co-design.

About

Educator & Researcher

I am an Assistant Professor in Computer Engineering with an academic background spanning Electronics, Computer Engineering, VLSI and Embedded Systems. My work combines teaching, student mentoring and research in intelligent computing systems.

I am particularly interested in bridging AI algorithms and hardware architectures to develop efficient, resource-aware and deployable intelligent systems for real-world applications.

Research

Research Interests

FPGA & VLSI AI Acceleration

Hardware architectures and hardware–software co-design for efficient deep-learning inference.

Edge AI & TinyML

Resource- and energy-aware intelligent systems for edge and embedded platforms.

FPGA & VLSI AI Acceleration

Hardware architectures and hardware–software co-design for efficient deep-learning inference.

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