Rate My Professor Shweta Meena

Dr. Shweta Meena serves as an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology, Kurukshetra, India. She earned her Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Hyderabad in 2009, graduating with distinction. She subsequently completed her Master of Technology in VLSI System Design from JNTU Hyderabad and her Doctor of Philosophy in Graphene-based Magnetic Tunnel Junctions for Spintronics applications from the National Institute of Technology, Kurukshetra.

Dr. Meena's research centers on the computational modeling and molecular engineering of two-dimensional materials, including MXenes, black phosphorus, boron nitride, graphene, and carbon nanotubes, targeted at optoelectronic, spintronic, and energy storage applications. Since 2019, she has led the Computational & Molecular Engineering (CME) Lab at NIT Kurukshetra, promoting team-based research that connects basic science with applied engineering outcomes. She has been offered a visiting faculty position at Tufts University, Medford, Boston, USA. Her scholarly output appears in leading journals such as The Journal of Physical Chemistry C, Physical Chemistry Chemical Physics, Physics Letters A, Journal of Physics: Condensed Matter, ChemistrySelect, RSC Advances, and Materials Chemistry and Physics. Prominent publications include "V2N MXene for Hydrogen Storage: First-Principles Calculations" (The Journal of Physical Chemistry C, 2024), "A V3C2 MXene/graphene heterostructure as a sustainable electrode material for metal ion batteries" (Journal of Physics: Condensed Matter, 2021), "Enhancing TMR and spin-filtration by using out-of-plane graphene insulating barrier in MTJs" (Physical Chemistry Chemical Physics, 2017), "Spin transport in carbon nanotubes bundles: An ab-initio study" (Physics Letters A, 2017), and "LSB based image steganography using dynamic key cryptography" (2016). With over 388 citations on Google Scholar, her contributions significantly influence computational materials science for clean energy and spintronic technologies.