Postdoctoral Researcher at the Singapore Institute of Technology, Singapore
Ph.D. in Electrical Engineering from the Indian Institute of Technology Palakkad, India
Research Interests: Quantum Network Security, Wireless Networked Control Systems, Cyber Physical Systems, Control, Artificial Intelligence, Reinforcement Learning, Wireless Communication, and Robotics
A few words about myself
I am a Postdoctoral Researcher at the Singapore Institute of Technology (SIT), where my current research focuses on quantum communication and quantum key distribution (QKD) networks, with an emphasis on reliable, scalable, and optimization-driven quantum networking.
I received my Ph.D. in Electrical Engineering from the Indian Institute of Technology Palakkad, where my research focused on state estimation and control of networked control systems under uncertain and communication-constrained environments. My doctoral work brought together control theory, wireless communication, estimation, robotics, and cyber-physical systems, with particular emphasis on channel uncertainties, packet losses, distributed estimation, and resilient control. I also developed a real-time hardware-in-the-loop (HIL) platform using software-defined radios and robotic hardware to bridge theoretical developments with experimental validation.
Following my Ph.D., I worked as an IoT Algorithm Developer at a Canada-based technology company, where I contributed to indoor positioning and navigation systems involving Wi-Fi and Bluetooth sensing, localization, signal processing, and learning-based algorithms. This experience strengthened my interest in translating research concepts into practical, deployable intelligent systems.
My broader research interests span artificial intelligence, deep learning, reinforcement learning, networked and autonomous systems, robotics, wireless communication, estimation and control, and quantum communications. I am particularly interested in developing intelligent and resilient algorithms that enable autonomous systems and communication networks to operate reliably under uncertainty, limited information, imperfect channels, and dynamically changing environments.
My research philosophy is centered on connecting theory, learning, and experimentation—developing mathematically grounded methods and validating them on real-world and hardware-based platforms. Going forward, I aim to work at the intersection of AI, autonomous systems, networked control, and emerging communication technologies to develop dependable, adaptive, and scalable intelligent systems for complex real-world applications.
(Made with veo : only for educational purpose)
Highlights!
An embedded real time HIL-SDR test-bench for NCS
(Developed during my PhD as part of my research)
Networked Control Systems (NCS) integrate sensing, computation, communication, and control through interconnected networks, enabling real-time monitoring, estimation, and control of physical systems. As a core component of Cyber-Physical Systems (CPS), NCS provides the communication and computational infrastructure required for intelligent and distributed control of dynamic systems in applications ranging from industrial automation and robotics to autonomous systems and smart infrastructure.
During my PhD, my research focused on state estimation and control of networked control systems under uncertain and unreliable communication conditions. I investigated how channel impairments such as packet losses, fading, and correlated communication uncertainties affect the estimation and control performance of networked dynamical systems, and developed analytical and algorithmic approaches to improve their reliability, robustness, and adaptability.
A key component of my doctoral research was the development of a real-time embedded hardware-in-the-loop (HIL) testbed for networked/cyber-physical systems, integrating physical control hardware, sensors, real-time computation, and software-defined wireless communication. The platform enabled experimental emulation and evaluation of multi-sensor NCS under realistic communication-channel conditions, bridging the gap between theoretical analysis, simulation, and real-time experimental validation.
The resulting framework provides an experimental foundation for studying communication–control interactions, distributed state estimation, wireless networked control, and resilient cyber-physical systems under practical network uncertainties.
Highlights from My PhD Journey
Receiving the certificate from distinguished Prof. Mathukumalli Vidyasagar of IIT Hyderabad.
Got an opportunity to present my paper at the prestigious ICARCV 2024 conference held at Dubai, UAE.
Receiving certificate from distinguished Prof. Jagadeesh Bayry for delivering a talk on wireless networked control systems.
Receiving the certificate from distinguished Prof. Folke Haugland, Head of Department Department of Information and Communication Technology, University of Agder, Norway.
Delivering a talk on implementation aspects of networked control systems using software defined radios during Indo-Norway Workshop on Sensing, Communication, and Control Systems for Industrial Automation.
Delivering a talk representing the department of Electrical Engineering, IIT Palakkad, during Research Scholars’ Day.