P. Hari Krishnan
Papers
2
Total Citations
10
H-Index
2
About
P. Hari Krishnan is a researcher whose work bridges the critical intersection of industrial energy efficiency and autonomous robotics. His primary research areas include combustion monitoring in thermal power plants and deep reinforcement learning for robotic navigation. Krishnan’s most notable contribution is his pioneering approach to optimizing coal combustion in thermal power plant boilers, where he integrated image processing techniques with robotic control systems. By analyzing flame characteristics through median-filtered imagery, his 2014 paper proposed a novel method for real-time monitoring and control of combustion quality, directly addressing efficiency and emissions challenges in the energy sector. This work has garnered 7 citations, establishing a foundation for intelligent industrial process control. More recently, Krishnan has advanced into autonomous systems, exploring deep reinforcement learning to enhance navigation efficiency for mobile robots in dynamic, uncertain environments. His 2024 paper tackles the persistent challenge of obstacle avoidance in changing terrains, offering solutions that outperform conventional navigation methods. With a growing citation footprint, Krishnan’s research demonstrates a commitment to applying computational intelligence—from image processing to reinforcement learning—to solve real-world engineering problems, making his work relevant for students and researchers in both energy systems and robotics.
Research Focus
Key Achievements
Top Papers
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- 2