Dr. Rabindra K. Barik
KIIT Deemed to be University, Motilal Nehru National Institute of Technology
About
Dr. Rabindra K. Barik is currently working as an Associate Professor in School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, India. He has received his both M.Tech and Ph.D. from Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India in 2009 and 2014 respectively. He has selected for MHRD scholarship during his both M.Tech and Ph.D. He has qualified GATE-2007 in Information Technology conducted by IIT-Kanpur. He is ranked among the World's Top 2\% Scientists as per the recent study conducted by researchers of ICSR Lab, Elsevier B.V. \& Stanford University, U.S.A., 2022 and 2023. He has received best paper awards in FICTA-2020, ICSCC-2017 and ICECE-2017 conferences. His research area includes Geospatial Data Science, Geospatial Big Data Infrastructure, Geospatial Database, Geospatial Cloud Computing, Fog Computing and IPR. He is doing collaborative research with University of Texas at Dollas and University of Rhode Island in the field of fog computing. He has published more than 50 international journals like Springer, Elsevier, and IGI Global etc. He has also published more than 80 conference papers in various top-level conferences like Global-SIP, CHASE, TENCON, INDICON etc. He has more than 35 book chapters on his credit. Prior to this, he has edited one book on Springer Nature named as Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog and Mist Computing in the series of Studies in Big Data. He is reviewing in many journals like Springer, Elsevier, IEEE, IGI Global etc. He is also served as TPC and PC members in many conferences. He is a member of IEEE and IAENG.
Employment
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KIIT Deemed to be University Associate Professor2012 - 2023
Education
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Motilal Nehru National Institute of Technology Ph.D.2009 - 2014
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Motilal Nehru National Institute of Technology M.Tech.2007 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (150)
- Capturing Short- and Long-Term Temporal Dependencies Using Bahdanau-Enhanced Fused Attention Model for Financial Data—An Explainable AI Approach Save
- QoE-Driven Multimodal Multi-Agent NDN-Enabled Blockchain Framework for Adaptive 6G Communication Networks Save
- SGR-Net: A Synergistic Attention Network for Robust Stock Market Forecasting Save
- Medical LLMs: Fine-Tuning vs. Retrieval-Augmented Generation Save
- Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques Save
- GANCE: Generative Adversarial Network Assisted Channel Estimation for Unmanned Aerial Vehicles Empowered 5G and Beyond Wireless Networks Save
- Hybrid ai model for predicting air quality and rice crop yield using satellite data and environmental variables Save
- Leveraging Towards Access Control, Identity Management, and Data Integrity Verification Mechanisms in Blockchain-Assisted Cloud Environments: A Comparative Study Save
- Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction Save
- BS-GeoEduNet 1.0: Blockchain-Assisted Serverless Framework for Geospatial Educational Information Networks Save