Recent Research & Publications
Prof. Jeevan Kumar
Selected Publications:
(1) “Optimizing Oral Cancer Detection: A Hybrid Feature Fusion using Local Binary Pattern and CNN” – Elsevier, Procedia Computer Science, 2024. (Accepted Scopus)
(2) “Advancements in Disease Detection and Diagnosis: An Extensive Review of Artificial Intelligence Tools” – Springer, ICAII, 2024
(3) “Deep Learning Framework for Early Detection of Oral Cancer” – IGI Global Scientific Publishing, 2025, DOI: 10.4018/979-8-3693-9879-1.ch013
(4) “Deep Learning Approaches for Super Resolution of Satellite Images” – IEEE, ICRTCST, 2024, DOI: 10.1109/ICRTCST61793.2024.10578504
(5) “Deep Learning Based Image Classification for Automated Face Spoofing Detection” – IEEE, 2nd World Conference on Communication & Computing, 2024
(6) “Achieving Energy Efficiency in AI: Balancing Performance in Machine Learning Models” – International Journal of Science and Research (IJSR), August 2024, DOI: https://dx.doi.org/10.21275/MR24812014347
(7) “Predictive Modeling for Heart Disease Detection: A Machine Learning Approach” – IEEE, ICRTCST, 2024
(8) “Group Signature Resistant Against Colluding Attack” – IJSREM, August 2023
(9-21) Multiple publications in reputed journals and international conferences including IEEE, Taylor & Francis, Inderscience, IJERT.
Prof. Smita Dash
Selected Publications:
(1) “Machine Learning Essentials and Its Applications” – Academic Guru Publishing House, 2024 (Book)
(2) “Advancement of Data Visualization Techniques in Healthcare Using AI and Power BI” – Springer, ICAII, 2024
(3) “Approaches of Groundwater Quality Prediction Using Machine Learning Techniques” – Springer, ICAII, 2024
(4) “Voice Assistant Development with Machine Learning for Application Programming” – IJCRT
(5) “Real-time Supply Chain Monitoring with Blockchain: A Decentralized Approach” – Trends in Electrical Engineering, 2024
(6-10) Research publications in Elsevier and other reputed journals covering AI, blockchain, neural networks, and computer vision.
Prof. Shamsher Alam
Selected Publications:
(1) “Voice Assistant Development with Machine Learning for Application Programming” – IJCRT, 2025
(2) “Deep Learning-Based Approach for Multi-Label Emotion Classification in Drugs” – IRJMETS, 2024
(3) “Role of Paperless Office Culture in Organizations” – COSMOS Journal, 2019
(4) “Quantum Computing through Artificial Intelligence” – Springer, ICAII, 2024
(5) “Designing an AI-driven Intelligent Tutorial System” – IEEE, ICRTCST, 2024
(6) Presentations at multiple international conferences indexed by IEEE and Springer.
Prof. Nusrat Parveen
Selected Publications:
(1) “Deep Learning Approaches for Super Resolution of Satellite Images” – IEEE, ICRTCST, 2024
(2) “Voice Assistant Development with Machine Learning for Application Programming” – IJCRT
(3) “Groundwater Quality Prediction Using Machine Learning” – Springer, ICAII, 2024
(4) “Machine Learning Concepts in Education and Smart Cities” – IGI Global, 2025
(5) “Deep Learning and Blockchain Application in Smart Agriculture” – IGI Global, 2025
(6) Research contributions in data clustering and data science published in Scopus journals.
Prof. Kumari Sonam
Selected Publications:
(1) “Quantum Computing through Artificial Intelligence” – Springer, ICAII, 2024
(2) “Group Signature Resistant Against Colluding Attack” – IJSREM, August 2023
(3) “Automatic Identification of Fake Profiles in Online Social Networks” – IJSREM, August 2023
