Rate My Professor Jitesh Pradhan

Dr. Jitesh Pradhan serves as an Assistant Professor (Grade-II) in the Department of Computer Science and Engineering at the National Institute of Technology, Jamshedpur, a position he has held since 2022. He obtained his B.E. degree in 2012 from Chhattisgarh Swami Vivekanand Technical University, followed by an M.Tech. in 2015 and a Ph.D. in 2021, both from the Indian Institute of Technology (Indian School of Mines), Dhanbad. With over nine years of research experience in image processing and artificial intelligence, his academic interests encompass medical image processing, pattern recognition, computer vision, deep learning, machine learning, DNA computing, feature engineering, video analytics, and content-based image retrieval. Dr. Pradhan has contributed significantly to these fields through 50 publications, including 25 journal articles, three book chapters, 20 conference proceedings, and two reviews. His work has garnered 479 citations on Google Scholar, with an h-index of 15 and 444 citations on Scopus. Notable publications include 'A DCT probability histogram-based ROI features for content-based natural and medical image retrieval applications' in Digital Signal Processing (2023), 'Diagnostic Accuracy of Artificial Intelligence-Based Algorithms in Automated Detection of Neck of Femur Fracture on a Plain Radiograph: A Systematic Review and Meta-analysis' (2024), 'Skin lesion classification using modified deep and multi-scale feature fusion model' (2024), 'Optimized Potato Leaf Disease Detection with an Improved Attention-Based Deep Learning Model' (2025), and a chapter in Advances in Distributed Computing and Machine Learning (2022).

In addition to his research and teaching responsibilities, Dr. Pradhan holds several administrative roles at NIT Jamshedpur, including Associate Dean (Academic), Warden of Hostel-K, and Coordinator for Samarth/MIS. He has been involved in organizing faculty development programs, short-term courses, and conferences such as the International Conference on Emerging Trends in Advancements and Analytic Computing Technologies (ETAACT-2026) and various workshops on machine learning and data science. He has also supervised project research positions and contributed to institute committees, including convocation and research & consultancy office roles. His ORCID ID is 0000-0002-6264-4093.