Faculty Cover
Dr. Rahul Gupta
16 Yrs
Teaching Experience
16 Yrs
Total Experience
Ph.D.
Highest Qualification
10+
Published Works

About & Biography

He is currently working as an Assistant Professor at the SRM Institute of Science and Technology, Delhi-NCR Campus, Modinagar, Ghaziabad. He received his Ph.D. from Netaji Subhas University of Technology (NSUT), New Delhi. He earned his M.Tech. in Engineering from Uttarakhand Technical University, Dehradun, and his B.Tech. from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. With over 16 years of exemplary teaching, training, and academic experience, he has made significant contributions to teaching, research, student mentoring, and academic development. He has published more than 20 research papers in SCI/SCIE/Scopus-indexed international journals and conferences. His research interests include Renewable Energy, Machine Learning, Deep Learning, and their applications in intelligent energy systems and data-driven forecasting. His academic and research work focuses on developing innovative, reliable, and explainable intelligent solutions for real-world engineering problems, particularly at the intersection of renewable energy and artificial intelligence.

Education & Qualifications

Doctorate2025
Ph.D.
NETAJI SUBHAS UNIVERSITY OF TECHNOLOGY, DELHI NCR CAMPUS , GHAZIABAD
Masters2016
M.Tech
UTTARAKHAND TECHNICAL UNIVERSITY , DEHRADUN
Bachelors2010
B.Tech
INDERPRASTHA ENGINEERING COLLEGE, GHAZIABAD

Research Specialization & Focus Areas

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning

Scholarly Publications

10 publications
2026
01

GEO-optimized federated hybrid deep learning framework for accurate global horizontal irradiance forecasting

Environment, Development and Sustainabilitypeer-reviewed, Scopus/SCI

02

Advancing Global Horizontal Irradiance Prediction with Grey Wolf Optimized Hybrid Transformer Models

Pure and Applied Geophysicspeer-reviewed, Scopus/SCI

2025
03

Enhancing solar radiation forecasting accuracy with a hybrid SA-Bi-LSTM-Bi-GRU model

Earth Science Informaticspeer-reviewed, Scopus/SCI

04

A fusion approach of discrete wavelet decomposition and deep learning techniques for the enhancement of wind speed prediction accuracy

Theoretical and Applied Climatologypeer-reviewed, Scopus/SCI

2024
05

A bidirectional gated recurrent unit based novel stacking ensemble regressor for foretelling the global horizontal irradiance

Sustainable Computing: Informatics and Systemspeer-reviewed, Scopus/SCI

06

Harnessing the power of hybrid deep learning algorithm for the estimation of global horizontal irradiance

Science of The Total Environmentpeer-reviewed, Scopus/SCI