Salil Bharany
Papers
4
Total Citations
47
H-Index
2
About
Salil Bharany is at the forefront of intelligent systems research, specializing in the convergence of machine learning, autonomous robotics, and cybersecurity. His work fundamentally addresses how AI-driven agents can perceive, navigate, and secure dynamic environments. In his highly cited 2025 paper, "Exploiting Machine Learning for Vulnerable Road Users’ Protection," he pioneered the use of AI agent-based technologies to predict and prevent collisions with pedestrians and cyclists, a contribution that has already garnered 37 citations for its life-saving potential. Bharany further advances the field by securing cyber-physical robotic systems, demonstrating how to fuse data security with operational efficiency across manufacturing, healthcare, and logistics. His innovative path planning research is equally notable; he has introduced nature-inspired algorithms, including the Black-Winged Kite Algorithm and a Hybrid Slime Mold Algorithm, enabling four-wheeled mobile robots to navigate complex, obstacle-filled environments in real time. Through these contributions, Bharany is not only pushing the boundaries of autonomous mobility but also ensuring these systems are resilient against emerging cyber threats, marking him as a key architect of the next generation of safe, adaptive, and secure robotic technologies.
Research Focus
Key Achievements
Top Papers
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