Mr. Subhasis Mohapatra
Assistant professor
Er. Subhasis Mohapatra is presently serving as an Assistant Professor in the Department of Computer Science and Engineering at DRIEMS University, Cuttack, Odisha. He holds a B.Tech. and M.Tech. degree in Computer Science & Engineering from Biju Pattanaik University of Technology, Rourkela, Odisha, India. Currently, he is pursuing his Ph.D. in the Faculty of Engineering and Technology at Sri Sri University, Cuttack, Odisha, India.
With 15 years of teaching experience and 5 years in the industry, Er. Mohapatra has made valuable contributions to academia and research. Mr. Mohapatra has published three journal articles, two patents, and four conference papers in reputed Scopus-indexed publications. Additionally, he is the co-author of five books covering topics such as IoT, Machine Learning, MATLAB Simulink & Applications, Algorithm Design Techniques, and UNIX Shell Programming.
His research interests include Soft Computing, IoT, Java, Search Engine Optimization, Web design, Machine Learning, Algorithm Design and Analysis, and Artificial Intelligence. His current research focuses on designing hybrid machine-learning models for meteorology and disaster prevention, quantum computing, usability in human-computer interactions, web-based health monitoring, and text mining.
Profile Links
- Google Scholar : VrMU4GcAAAAJ
- Scopus Id : 58905735500
- Vidwan Id : 563955
Social Links
Awards
Memberships
Recent Publications
Awards
Memberships
Member of Institute of Electrical and Electronics Engineers (IEEE) – ID# 101720677
Recent Publications
- The paper titled “Cross-validation of Machine Learning Approach with Implementation of Random Forest Classifier Model using Python” was published in SRUSTI MANAGEMENT REVIEW (SMR), A Journal of Management and IT, in October 2024, and is indexed in UGC CARE Group-1.
- The paper titled “The Role of Social Media Analytics in Government Decision-Making: A Machine Learning Approach Using COVID-19 Vaccination Tweets” was published in the Journal of Theoretical and Applied Information Technology in August 2025, and is indexed in Scopus.
- The paper titled “Green AI Revolution: Machine Learning for Environmental-Friendly Communication Networks” was published in the Journal of Environmental Protection and Ecology in July 2024, and is indexed in Scopus. The book “Introduction to MATLAB Simulink & Applications” was published by Kalam Kraft Publication. The book “Fundamentals of Cloud Computing & Microsoft AZ-900 Exam Study Guide” was published by Authors Click Publishing.
- Chapter 20 titled “Transforming Management Strategies With AI-Driven Decision Support Systems” (pages 395–408) was published in an edited volume by IGI Global Scientific Publishing.
- Presented the paper “A Systematic Literature Review of Public Sentiments on Health Initiatives: A Case Study of COVID-19” at the International Conference on Emerging Trends in Intelligent Computing Techniques (ICETICT-2024), published by Taylor & Francis Group.
- Presented the paper “Asthma Risk Prediction through Stacking-Based Ensemble Learning” at the International Conference on Emerging Trends in Intelligent Computing Techniques (ICETICT-2024), published by Taylor & Francis Group.
- Presented the paper “A Systematic Literature Review of Recognizing Handwritten Vedic Text on Palm Leaves Using Machine Learning” at the 1st International Conference on Green Artificial Intelligence and Industrial Applications (GreenAI-2025), organized by GITAM University, published by Springer.
- Presented the paper “Machine Learning Applications in Predicting the Disease Progression in Diabetes Patients: A Comprehensive Exploration” at the International Conference on Cutting Edge Technology in Computing, Communication & Intelligence (ICCTCCI-2025), published by Taylor & Francis.
