Rate My Professor D Ratnam

Dr. D. Venkata Ratnam serves as Professor and Head of Research in the Department of Electronics and Communication Engineering at KL Deemed to be University. He earned his M.Tech. in Radar and Microwave Engineering from Andhra University, Visakhapatnam, India, and Ph.D. in Electronics and Communication Engineering from Jawaharlal Nehru Technological University Hyderabad, India, with his dissertation examining ionospheric models for satellite-based augmentation navigation systems over India. Before joining KL University as an Associate Professor in 2011, he held positions as Research Assistant, Junior Research Fellow, Senior Research Fellow, and Senior Research Assistant at the Research and Training Unit for Navigational Electronics, Osmania University, Hyderabad. Currently, he heads the Space Technology and Atmospheric Sciences Research Center and the Centre for Atmospheric Sciences. His research interests encompass satellites, navigational electronics, global navigation satellite systems (GNSS), space science, radio-wave propagation, and ionospheric variability modeled using ground-based Global Positioning System measurements.

Dr. Ratnam has led multiple funded research projects from agencies including DST, SERB, ISRO, UGC, and the Department of Telecom, securing grants over two crores. Recent projects include a DST-funded effort on data fusion and deep learning for geospatial positioning in the 5G era (September 2024, 21.38 lakhs) and an ISRO project on ionospheric traveling disturbances data mining and machine learning models for GAGAN-NAVIC TEC measurements (January 2025, 24.67 lakhs). He has authored over 100 journal papers in outlets such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Advances in Space Research, alongside 50 conference papers and seven patents. Notable publications include 'Implementation of Hybrid Deep Learning Model (LSTM-CNN) for Ionospheric TEC Forecasting Using GPS Data' (2021, IEEE Geoscience and Remote Sensing Letters) and 'A novel hybrid Machine learning model to forecast ionospheric TEC over Low-latitude GNSS stations' (2022, Advances in Space Research). His accolades comprise the Young Scientist Award from DST (2012-2015), Research Award from UGC (2015-2017), Early Career Research Award from SERB (2017-2020), World's Top 2% Scientists by Stanford University (2023-2026), and multiple Best Teacher Awards from KL University. A Fellow of IEEE, IETE, and the Indian Remote Sensing Society, he serves as Associate Editor for IEEE Access, has guided 10 Ph.D. scholars, and collaborates internationally with institutions like the Asian Institute of Technology and Nagoya University.