Bharat J. R. Sahu
Siksha O Anusandhan University, Kyungpook National University, Sungkyunkwan University - Suwon Campus, Sambalpur University
About
Bharat Jyoti Ranjan Sahu is currently working as an associate professor at Siksha 'O' Anusandhan deemed to be University, Bhubaneswar. He was with the College of IT Engineering, Kyungpook National University, Daegu, South Korea, as a postdoctoral researcher. Dr. Sahu completed his Ph.D. from College of Information & Communication Engineering, Sungkyunkwan University (SKKU), South Korea in 2017. He received outstanding foreign student scholarship from Sungkyunkwan University in 2014. His research interests include 5G Communication, Internet of Things, Multipath-TCP, Information-Centric Networking.
Employment
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Siksha O Anusandhan University Chief Coordinator2023 - Present
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Siksha O Anusandhan University Associate Professor2022 - Present
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Siksha O Anusandhan University Assistant professor2019 - 2022
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Kyungpook National University Postdoc2018 - 2019
Education
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Sungkyunkwan University - Suwon Campus Ph D2014 - Present
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Sambalpur University MASTER OF TECHNOLOGY IN COMPUTER SCIENCE2010 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- DTDP: Dynamic Traffic Demand Prediction for Energy-Aware Paging in Next-Generation Cellular Network Save
- Efficient Breast Cancer Classification Using a Hybrid CNN-Attention-Residual Connection (CAR) Model Save
- E2PCRA: A Fuzzy-Based Energy-Efficient Paging Using Clustering and Routing Algorithm for 5G Wireless Networks Save
- Dual-Mode Cell Planning with Paging Monitoring for 5G Networks and Beyond Save
- Enhanced trust management for building trustworthy social internet of things network Save
- Enhancing Transfer Learning Model Performances using Cohen's Kappa Score at Predicting Breast Cancer Save
- Internet of things in the 5G ecosystem and beyond 5G networks Save
- Performance Analysis of Video Streaming Methods Save
- Music recommender system via deep learning Save
- Implementation of Data Warehouse: An Improved Data-Driven Decision-Making Approach Save