Nirlipta Ranjan Mohanty
Papers
1
Total Citations
2
H-Index
1
About
Dr. Nirlipta Ranjan Mohanty is a researcher at the forefront of embedded control systems, specializing in the intersection of nonlinear model predictive control (NMPC), deep learning, and FPGA-based hardware implementation. His major contribution lies in addressing the critical bottleneck of real-time NMPC—the computationally intensive online optimization that often exceeds the capabilities of resource-limited hardware. By pioneering a deep learning approach to approximate NMPC solutions, Dr. Mohanty has demonstrated a pathway to low-complexity, high-speed control that can be efficiently deployed on FPGAs, enabling real-time performance in demanding applications like autonomous systems and robotics. His seminal 2022 work on this topic has garnered attention for its practical impact, bridging the gap between advanced control theory and embedded deployment. With a growing citation footprint, Dr. Mohanty’s research is shaping the future of intelligent, hardware-aware control systems, making him a key figure in the push toward smarter, faster, and more efficient real-time automation.
Research Focus
Key Achievements
Top Papers
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