Romil Rawat

About

Romil Rawat is a leading researcher at the intersection of cybersecurity, artificial intelligence, and robotics, with a focus on securing critical infrastructures. His work is distinguished by pioneering the use of computational intelligence to analyze vulnerabilities in the Industrial Internet of Things (IIoT), particularly within the dark web, a contribution that has garnered over 43 citations. Rawat has also developed innovative surveillance robots for cyber intelligence and vulnerability detection, earning 36 citations. In a unique blend of AI and social good, he created a depression detection system for the elderly using robotic systems and the Nelder–Mead Method, cited 34 times. His research extends to cyber-physical system fraud analysis via mobile robots (32 citations) and robotic process automation for enhancing product quality through AI and machine learning (27 citations). Rawat’s work is notable for its practical applications in safeguarding smart factories, healthcare, and autonomous systems, making him a key figure in advancing resilient, AI-driven security solutions for the modern digital landscape.

Research Focus

Key Achievements

Top Papers

1. 1
   Vulnerability Analysis at Industrial Internet of Things Platform on Dark Web Network Using Computational Intelligence

   43 citations · 2021
2. 2
   Surveillance Robot in Cyber Intelligence for Vulnerability Detection

   36 citations · 2021
3. 3
   Depression detection for elderly people using AI robotic systems leveraging the Nelder–Mead Method

   34 citations · 2021
4. 4
   Cyber Physical System Fraud Analysis by Mobile Robot

   32 citations · 2021
5. 5
   Robotic process automation with increasing productivity and improving product quality using artificial intelligence and machine learning

   27 citations · 2021

Key Collaborators

Contact & Links