A. Deepak

Papers

Total Citations

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About

A. Deepak is a researcher working at the intersection of hardware-efficient digital design, artificial intelligence, and biomedical engineering. His work focuses on creating energy-efficient computational architectures for real-world applications, as demonstrated by his 2024 paper on a low-power 2D FIR filter and multiplier design for image processing tasks such as medical diagnosis and robot vision. Deepak also explores the application of AI in civil infrastructure, proposing AI-driven traffic control systems for smart cities to enhance urban efficiency. In the biomedical domain, he investigates the use of deep learning in medical robotics for assessing Parkinson’s disease symptoms, combining interpretivist methodologies with deductive analysis to evaluate diagnostic potential. Though his citation counts are currently modest—with his most cited work reaching 3 citations—his research spans critical and emerging fields: energy-efficient VLSI design, smart city automation, and AI-assisted healthcare. This breadth signals a researcher engaged with pressing technological challenges, from hardware optimization to intelligent systems for societal benefit.