About
V. Bharathi is a doctoral researcher in RF and Microwave Engineering at the Indian Institute of Information Technology, Tiruchirappalli. She holds an M.E. in Communication Systems from Anna University, Chennai, and a B.E. in Electronics and Communication Engineering from Anna University, Trichy. With over six years of teaching experience, she has served as an Assistant Professor at Dhanalakshmi Srinivasan Engineering College and as an Adhoc Faculty at IIIT Trichy.
Her research interests include metasurface-based antennas, circular polarization techniques, frequency selective surfaces (FSS), and physics-informed machine learning for electromagnetic design. She has published her work in reputed SCI-indexed journals and presented at leading IEEE conferences including MAPCON and WAMS. Skilled in simulation tools such as HFSS, CST, and MATLAB, she has also participated in several advanced workshops and training programs in antenna technologies, AI, IoT, and data science.
Employment
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SRMIST ASSISTANT PROFESSOR2026 - Present
Education
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Indian Institute of Information Technology, Tiruchirappalli Ph.D.2021 - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- Inverse Design of Ultra-Wideband Frequency Selective Surface Using a Graph Based Conditional Variational Autoencoder Integrated With a Physics Informed Neural Network Save
- Design of circularly polarized dual-band metasurface-based RFID reader antenna for warehouse and healthcare applications Save
- Applications of Metasurfaces for Modern Planar Antenna Design Save
- Design of Dual-Band Circularly Polarized Stacked Patch Antenna for RFID Applications Save
- Dielectric Loaded Frequency Tunable Fabry–Perot Resonator Antenna With PRS for X-Band Applications Save
- Design and Analysis of Metasurface-based Hexagonal shaped CPW feed Antenna for X Band Applications Save
- Design of Dielectric Resonator Based Low Profile Dual Band Antenna for Wlan and C Band Applications Save
- Regional language recognition system for Industry 4.0 Save
- Voice extraction from background noise using filter bank analysis for voice communication applications Save