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About

Mrinal Mandal is a versatile researcher whose work spans medical robotics, computer vision, and hardware accelerators for artificial intelligence. He is perhaps best known for his pioneering contributions to magnetic localization techniques for capsule endoscopy, developed in 2005, which addressed the critical challenge of tracking a wireless robotic capsule's three-dimensional position and two-dimensional orientation within the gastrointestinal tract. This foundational work, which has accumulated over 300 citations across multiple publications, laid the groundwork for controllable, minimally invasive GI diagnostics. Mandal also made notable advances in human-computer interaction, proposing novel Radon transform-based methods for gesture and pose recognition with applications in robot teleoperation and air traffic control — research that attracted substantial scholarly attention and demonstrated his ability to bridge theoretical signal processing with real-world systems. His 2022 review of ASIC accelerators for deep neural networks, already garnering 75 citations, signals a productive pivot toward modern AI hardware design, reflecting his adaptability as the field has evolved. Across disciplines, Mandal's work reflects a consistent drive to develop efficient, practical algorithms and systems for complex real-world challenges, making his research profile particularly valuable for students working at the intersection of robotics, signal processing, and embedded AI.