Rabindra Kumar Barik

Associate Professor

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. His research area includes Geospatial Data Science, Geosaptial Big Data Infrastructure, Geospatial Database, Geospatial Cloud Computing, Fog Computing and IPR. He has published more than 20 international journals like Springer, Elsevier, and IGI Global etc. He has also published more than 30 conference papers in various top level conferences like GlobalSIP, CHASE, TENCON, INDICON etc. He has more than 15 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 reviewers of 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.

Profile Links

Email :
[email protected]
Website :
mnnnit.academia.edu
Scopus Id :
36109948200
Google Scholar :
https://scholar.google.com/citations?user=-jnm_PEAAAAJ&hl=en&authuser=1

Social Links

Educational Qualification
PhD

Administrative Responsibility
Member-QA Cell

Awards & Honours
 MHRD Scholarship during Ph.D  MHRD Scholarship during M. Tech.  Qualified GATE in 2007  Received best paper award in International Conference on Frontiers of Intelligent Computing: Theory and Applications 2020 at NIT karnataka, Surathkal, India  Received best paper award in Sixth International Conference on Smart Computing and Communications 2017 at NIT Kurukshetra, India  Received best paper award in International Conference on Electrical, Computer and Electronics 2017 at GLA University, India  Presented Research Paper in IEEE Region 10 Conference TENCON-2017 during November 05-09, 2017 at Penang, Malaysia.

Memberships
IEEE and IAENG
Journals/Conferences :
Gupta, C., Das, R. K., Barik, R. K., Qurashi, S. N., Roy, D. S., & Yadav, S. S. (2024). GANCE: Generative Adversarial Network Assisted Channel Estimation for Unmanned Aerial Vehicles Empowered 5G and Beyond Wireless Networks. IEEE Access.

Kandpal, M., Goswami, V., Pritwani, Y., Barik, R. K., & Saikia, M. J. (2024). BS-GeoEduNet 1.0: Blockchain-Assisted Serverless Framework for Geospatial Educational Information Networks. ISPRS Int. J. Geo-Inf., 13, 274.

Deka, R. K., Ghosh, A., Nanda, S., Barik, R. K., & Saikia, M. J. (2024). Smart Healthcare System in Server-Less Environment: Concepts, Architecture, Challenges, Future Directions. Computers, 13(4), 105.

Panigrahi, S. K., Goswami, V., Mund, G. B., & Barik, R. K. (2023). Performance Evaluation of IoST–Mist–Fog–Cloud Framework for Geospatial Crime Data Visualization: A State Dependent Queueing Approach. SN Computer Science, 5(1), 85.

Panigrahi, S. K., Goswami, V., Apat, H. K., Barik, R. K., Vidyarthi, A., Gupta, P., & Alharbi, M. (2023). An interconnected IoT-inspired network architecture for data visualization in remote sensing domain. Alexandria Engineering Journal, 81, 17-28.

Mallick, S. R., Lenka, R. K., Goswami, V., Sharma, S., Dalai, A. K., Das, H., & Barik, R. K. (2023). BCGeo: Blockchain-assisted geospatial web service for smart healthcare system. IEEE Access.

Bebortta, S., Das, S. K., Kandpal, M., Barik, R. K., & Dubey, H. (2020). Geospatial Serverless Computing: Architectures, Tools and Future Directions. ISPRS International Journal of Geo-Information, 9(5), 311.

Priyadarshini, R., & Barik, R. K. (2019). A Deep Learning Based Intelligent Framework to Mitigate DDoS Attack in Fog Environment. Journal of King Saud University-Computer and Information Sciences.

Barik, R. K., Dubey, H., Mankodiya, K., Sasane, S. A., & Misra, C. (2019). GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis. Journal of Ambient Intelligence and Humanized Computing, 10(2), 551-567.

Priyadarshini, R., Barik, R.K., & Dubey, H. (2018). DeepFog: Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks. Computation, 6(4), 62.

Books :
Barik, R.K., Das, H., Dubey, H., Roy, D., 2019, Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog and Mist Computing (Studies in Big Data), 978-3-030-03358-3 /2197-6503, Springer Nature.