Rate My Professor Sibarama Panigrahi

Dr. Sibarama Panigrahi serves as Assistant Professor (Grade-I) in the Department of Computer Science and Engineering at the National Institute of Technology Rourkela, Odisha, India, a position he has held since April 2023. Previously, he was Assistant Professor at Sambalpur University Institute of Information Technology, Odisha, from September 2016 to March 2023. His academic journey includes a Ph.D. in Computer Science and Engineering from Veer Surendra Sai University of Technology, Odisha, in 2019; an M.Tech in the same field from the same institution in 2013, where he earned the University Silver Medal for the best Computer Science and Engineering postgraduate; and a B.Tech in Computer Science and Engineering from Biju Patnaik University of Technology in 2009. Dr. Panigrahi has qualified UGC NET in Computer Science and Applications and holds Senior Membership in IEEE. His research specializations focus on time series forecasting, machine learning, deep learning, soft computing, data science, and intelligent computing and computer vision. He leads the Intelligent Computing and Computer Vision research group and has supervised 12 doctoral students, including two completed Ph.D.s.

Dr. Panigrahi has published over 57 papers in high-impact SCI-indexed journals such as Neural Computing and Applications, Journal of Forecasting, Information Sciences, and Engineering Applications of Artificial Intelligence, with a Google Scholar h-index of 20, i10-index of 30, and more than 1,400 citations. Notable publications include 'Decomposition-based hybrid methods employing statistical, machine learning, and deep learning models for crude oil price forecasting' (Neural Computing and Applications, 2025), 'A study and development of high-order fuzzy time series forecasting methods for air quality index forecasting' (Journal of Forecasting, 2024), and 'Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models' (Information Sciences, 2024). He has received Best Paper Awards at international conferences in 2023 and 2025, the Faculty Advisor Appreciation Award for 2024-25, and has served as Academic Editor for PLOS ONE and Editorial Board Member for Scientific Reports (Nature) since 2024. Dr. Panigrahi reviews for over 30 SCI journals and ANRF/BRNS projects, and has secured grants from SERB and ANRF, including developing electricity load forecasting software deployed by Tata Power Western Odisha Distribution Limited. He has organized multiple continuing education programs on AI, data science, and deep learning.