About Me
I am a PhD student in Electronic Engineering at Queen Mary University of London, funded by the EPSRC DTP. I work within the Antennas and Electromagnetics Research Group under the supervision of Dr. Akram Alomainy and Dr. Mohamed Adhnan Thaha.
Research
My research focuses on AI-driven RF localisation for wireless capsule endoscopy (WCE). Wireless capsule endoscopy is a minimally invasive diagnostic tool that allows visualisation of the gastrointestinal tract, but accurately tracking the capsule’s position inside the body remains a significant challenge due to complex in-body radio wave propagation.
I am developing machine learning approaches that leverage Software-Defined Radio (SDR) measurements and wearable multi-antenna systems to improve localisation accuracy. My recent work explores anchor-aware conditional flow matching techniques to enhance robustness while maintaining consistency with antenna geometry and signal measurements.
This interdisciplinary research sits at the intersection of antenna engineering, signal processing, and machine learning, with direct applications in medical device technology and healthcare.
Research Interests
- RF Signal Detection and Localisation
- Software-Defined Radio (SDR)
- Machine Learning for Wireless Systems
- Wireless Capsule Endoscopy
- Wearable Antenna Systems
- Probabilistic Machine Learning
News
- Jan 2026: Paper accepted at EuCAP 2026 (Dublin, Ireland) on ML-based RF localisation for wireless capsule endoscopy
Contact
Feel free to reach out at subramaniamsmurugesan@gmail.com