Gobinda Saha

This researcher works at the intersection of machine learning and hardware design, with publications on continual learning (methods that let AI systems learn new tasks without forgetting old ones), energy-efficient computing circuits for neural networks, and optimization algorithms. The work spans both algorithmic contributions (like memory-based learning techniques) and hardware-oriented topics (like in-memory computing chips for AI). Prospective students would be working in an area that bridges software-level AI methods and low-level hardware efficiency for machine learning systems.

Publication output has grown unevenly over the past decade, rising notably in 2023 after a period of low, steady activity in earlier years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026