Dr. Devbrat Pundhir | Artificial Intelligence | Best Researcher Award
Assoc.Prof.Dr at Raja Balwant Singh Engineering Technical Campus, India
Dr. Devbrat Pundhir has consistently contributed to the understanding of ionospheric behavior under seismic influences through a series of well-structured, peer-reviewed studies. His commitment to exploring the physics behind electromagnetic precursors and TEC variations makes his research both scientifically rigorous and societally relevant. His innovations in methodology, especially his move towards AI integration and data-centric modeling, reflect his adaptability and forward-thinking approach.
Professional Profile
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Education
Dr. Devbrat Pundhir holds a Ph.D. in Physics from Banasthali Vidyapith (Deemed University), awarded in 2018, with his thesis focused on ionospheric perturbations due to earthquakes using GPS-based Total Electron Content (TEC) measurements. He earned his M.Sc. in Physics from Dayalbagh Educational Institute (Deemed University), Agra, in 2012 with 70.1% marks. Prior to that, he completed his B.Sc. (Hons.) in Physics from the same institute in 2010, securing 68.9%. His early education was completed under the U.P. Board, where he passed his Intermediate in 2007 and High School in 2005, both with First Division.
Experience
Currently, Dr. Pundhir serves as an Assistant Professor of Physics in the Department of Applied Sciences & Humanities at Raja Balwant Singh Engineering Technical Campus, Bichpuri, Agra, since January 2019. Previously, he worked as a Senior Research Fellow on a Ministry of Earth Sciences-sponsored project related to electromagnetic earthquake precursors at the Seismo-electromagnetics and Space Research Laboratory (SESRL), Agra, from 2016 to 2018, where he also taught undergraduate Engineering Physics. He earlier served as a Junior Research Fellow in a Department of Science & Technology project on Schumann Resonance phenomena. His early research experience also includes work in fiber optics, nonlinear behavior of inorganic materials, and nanostructures under the guidance of Dr. Sukhdev Roy during his M.Sc. Additionally, he has experience as a video editor in an MHRD project at Dayalbagh Educational Institute.
Skills and Expertise
Dr. Pundhir possesses strong analytical and technical skills in atmospheric physics, signal processing, and modeling using AI/ML techniques. He has hands-on expertise in GPS-TEC data analysis, ULF/VLF ground measurements, and ionospheric modeling. He has also designed a biosensor in fiber optics and conducted research on carbon nanotubes and iron oxide materials. His computer skills include certified proficiency in Computer Concepts by NIELIT and three years of practical experience in computer applications. He has developed attainment calculation software and has served as a resource for IPR and innovation-related activities in his institution.
Research Focus
Dr. Pundhir’s primary research areas lie in seismo-electromagnetics, low-latitude ionospheric modeling, and earthquake precursor detection using TEC and electromagnetic signals. His ongoing projects focus on AI-based prediction of ionospheric behavior and synthesis of metallic nanostructures. His work also explores the coupling of atmospheric and ionospheric parameters during seismic events and the use of satellite and ground-based tools for early warning systems. He has published over 35 international journal articles, co-supervised Ph.D. students, and contributed significantly to interdisciplinary research involving geophysics, space weather, and machine learning applications.
Awards and Honors
Dr. Pundhir has been recognized widely for his academic and research contributions. He has served on the Technical Program Committees of various international conferences in China and India and was appointed as Chair for multiple events. He is a life member of the Indian Geophysical Union and serves on editorial boards of international journals like the SCIREA Journal of Environment and Geosciences. He has received multiple certifications from AICTE, the Ministry of Education, and international FDPs on AI, teaching methods, and instrumentation. He has mentored students for projects funded by INSPIRE and AICTE and contributed actively to institutional innovation and IPR policies.
Publication
- Title: Anomalous TEC variations associated with the strong Pakistan-Iran border region earthquake of 16 April 2013 at a low latitude station Agra, India
Authors: D. Pundhir, B. Singh, O.P. Singh
Journal: Advances in Space Research
Year: 2014
Citations: 30
- Title: Ionospheric perturbations due to earthquakes as determined from VLF and GPS-TEC data analysis at Agra, India
Authors: D. Singh, B. Singh, D. Pundhir
Journal: Advances in Space Research
Year: 2018
Citations: 21
- Title: Study of ionospheric precursors using GPS and GIM-TEC data related to earthquakes occurred on 16 April and 24 September, 2013 in Pakistan region
Authors: D. Pundhir, B. Singh, O.P. Singh, S.K. Gupta, S.P. Karia, K.N. Pathak
Journal: Advances in Space Research
Year: 2017
Citations: 19
- Title: A multi-experiment approach to ascertain electromagnetic precursors of Nepal earthquakes
Authors: S. Sharma, R.P. Singh, D. Pundhir, B. Singh
Journal: Journal of Atmospheric and Solar-Terrestrial Physics
Year: 2020
Citations: 15
- Title: A morphological study of low latitude ionosphere and its implication in identifying earthquake precursors
Authors: D. Pundhir, B. Singh, O.P. Singh, S.K. Gupta
Journal: J. Ind. Geophys. Union
Year: 2017
Citations: 10
Conclusion
In conclusion, Dr. Pundhir is a highly deserving candidate for the Best Researcher Award. His pioneering work on seismo-ionospheric precursors, broad publication record, and his ongoing evolution into interdisciplinary modeling highlight his scientific maturity and future leadership potential. Recognizing him with this award would not only honor his current achievements but also encourage further innovation in disaster prediction science.