Sandipan Pine

Utkal University, Indira Gandhi Institute of Technology

Papers

Total Citations

H-Index

About

Sandipan Pine’s research bridges the gap between intelligent automation and real-world engineering systems, with a focus on image-based quality inspection, electric vehicle (EV) motor control, and FPGA-optimized robotics. In his most-cited work, “An effective quality inspection system using image processing techniques” (2015, 6 citations), he introduced a novel framework combining coordinate conversion and pattern matching for precise cylindrical-object inspection—a practical contribution to manufacturing quality assurance. His 2024 study on “Design Strategy and Implementation of Control Parameters for BLDC Motor Application in an Electric Vehicle” (2 citations) addresses the critical challenge of maximizing EV torque through optimized brushless DC motor control, reflecting his engagement with sustainable transportation. Additionally, his 2019 paper on “FPGA Implementation of Modified Swarm Optimization Based Control Strategy for a Mobile Robot” (2 citations) demonstrates expertise in hardware-accelerated swarm intelligence, enabling real-time autonomous navigation. Pine’s work is characterized by a hands-on, implementation-driven approach—translating theoretical algorithms into deployable systems for inspection, mobility, and energy efficiency. Though his citation counts are modest, his contributions are foundational to applied robotics and automotive electronics, offering practical solutions for industry and academia alike.