Designation: Assistant Professor Email:[email protected] Area: Cognitive and Sensor Network, IoT, Crowdsensing, Cognitive Science, Data Science & Machine Learning
Brief Profile
Dr. Ramesh Kumar Sahoo is currently working as Assistant Professor in Birla School of Engineering and Technology, Birla Global University, Bhubaneswar. He holds a Ph.D. in the area of “Mobile Crowdsensing” from Utkal University. He has successfully completed two sponsored research projects in the domain of Cognitive Radio Network and Healthcare applications. He has published good number of quality research papers in SCI/SCOPUS indexed journals and reputed international conferences. He has delivered several expert talks and hands-on sessions on Wi-Fi sensing, AI in Healthcare, Machine Learning using Python, Scientific Research & Writing using LaTeX in various reputed institutions. His broad areas of research interest include Mobile Crowdsensing, Wireless Sensing, Cognitive Science, Sensor Networks, Brain Computer Interface (BCI), Healthcare applications and Human Activity Recognition.
Educational Qualifications
Ph.D.
Mobile crowdsensing
Department of Computer Science, Utkal University, Bhubaneswar Topic: Data integrity in mobile crowdsensing environment using machine learning
M.Tech
Computer Science and Engineering
Department of Computer Science and Applications
Indira Gandhi Institute of Technology, Sarang
B.Tech
Computer Science and Engineering
Department of Computer Science and Applications
Indira Gandhi Institute of Technology, Sarang
Theory Subjects: Operating System, Cloud computing, Internet of Things, Networking, Internet and Web Technology
Experience
1st July 2025 – Till Date
Assistant Professor
Birla School of Engineering and Technology
Birla Global University, Bhubaneswar
5th August 2016 – 30th June 2025
Assistant Professor (Consolidated)
Department of Computer Science and Applications
Indira Gandhi Institute of Technology, Sarang
11th February 2014 – 14th July 2014
Research Project Assistant
Department of Computer Science and Applications
Indira Gandhi Institute of Technology, Sarang
Recognition and Awards
Best Paper Award in the International Conference on Intelligent Systems and Applications (ICISA 2022)
Research Funding and Consulting
Development of Secured Aware Optimal Data Routing using Multiobjective Optimization in Cognitive Radio Adhoc Vehicular Network (TEQIP-III)
I_Cog Mining – An IoT Based Cognitive Mining using Accessing Cognitive Load (TEQIP-III)
Research PapersJournals: 13
Selected Publications:
Sahoo, Ramesh K., et al. “Multiple heterogeneous cluster-head-based secure data collection in mobile crowdsensing environment.” The Journal of Supercomputing (2024).
Sahoo, Ramesh Ku, et al. “Enhancing Data Integrity in Mobile Crowdsensing Environment with Machine Learning and Cost-Benefit Analysis.” International Computing and Digital Systems (2023).
Mandal, B., Mohapatra, S. & Sahoo, R.K. “Estimating mental health by analyzing the impact of cognitive load on working memory using AI.” CCF Trans. Pervasive Comp. Interact. (2025).
Badajena, Jenamani Chandrakanta, et al. “A survey on EEG-based neurophysiological research for emotion recognition.” CCF Transactions on Pervasive Computing and Interaction (2023).
Conferences: 27 Selected Papers:
Sahoo, R., Sethi, S. (2015). Functional Analysis of Mental Stress Based on Physiological Data of GSR Sensor. Advances in Intelligent Systems and Computing.
Sahoo, R.K., Pradhan, S.K., Sethi, S., Udgata, S.K. (2022). Ensuring Data Integrity in Mobile Crowdsensing Environment Using Fuzzy Logic. Lecture Notes in Networks and Systems.
Badajena, J.C., Sethi, S., Sahoo, R.K. (2023). Comparative Analysis of Full Training Set and Cross-Validation for Machine Learning Approach to Run Smart Wheelchair.
Editorial Positions and Reviews
Reviewer in various Journals like Multimedia Tools and Applications, International Journal of Computing and Digital Systems
Reviewer in various conferences: ICMIB 2020–2024, SMSI 2024, ICCCTCI 2024, etc.