Biography

Dr. Bhupender Singh Rawat has completed Ph.D. in Computer Science and Applications from IFTM University, Moradabad, India. He did his MCA from Mahatma Jyotiba Phule Rohailkhand University Bareilly in 2005 and BSc(PCM) from CSJMU Kanpur in 2000. His research area is Data mining, Database, AI/ML, IOT etc. He has an academic experience of more than 20+ years and has worked as Assistant / Associate Professor in various Universities. He has published more than 24+ research papers in peer-reviewed Journal and national and International Conferences. He has also published 01 patents. He is currently guiding 06 research scholars in computer science domain.

Publications

• Published a paper, “Enhancing DBSCAN via KD-Tree and Ball-Tree Structures in a Performance-Driven Way”, in IEEE SCOPUS INDEXED, 7th International Conference on Information Systems and Computer Networks (ISCON-2025) organized at GLA University, Mathura, Uttar Pradesh, India September 05th - 06th, 2025.
• Published a paper, “Unveiling the Impact of Social Media on Employment: A Comprehensive Analysis”, in IEEE SCOPUS INDEXED, 7th International Conference on Information Systems and Computer Networks (ISCON-2025) organized at GLA University, Mathura, Uttar Pradesh, India September 05th - 06th, 2025.
• Published a paper, “YOLO based Potato Leaf Disease Detection Method”, in IEEE SCOPUS INDEXED, 5th International Conference on Soft Computing for Security Applications (ICSCSA-2025).
• Published a paper, “Deep Model Exposure and Classification of Diabetic Retinopathy Using Fundus Imaging”, in IEEE SCOPUS INDEXED, 3rd International Conference on Communication, Security and Artificial Intelligence (ICCSAI-2025).
• Published a paper, “Potato Leaf Disease Detection Method is Based on the Support Vector Machines”, in IEEE SCOPUS INDEXED, Second International Conference on Advanced Computing & Communication Technologies (ICACCTech-2024).
• Published a research paper, “GJO-XGBoost: Optimized XGBoost with Golden Jackal Algorithm for 30-Days Mortality in Sepsis Patients”, in Scopus journal *International Journal of Intelligent Engineering and Systems*, ISSN 2185-3118, Vol. 18, No. 2, 2025.
• Published a paper, “Comparative Analysis of Blowfish and Twofish Cryptographic Protocol”, in IEEE SCOPUS INDEXED, 5th International Conference on Sustainable Communication Networks and Application (ICSCNA-2024).
• Published a research paper, “Game-Theoretic Modeling of Adversarial Strategies in GPU Side-Channel Attacks”, in Scopus journal *Nanotechnology Perceptions*, ISSN 1660-6795, September 2024.
• Published a paper, “DDoS Attacks Detection in IoT Networks using Naïve Bayes and Random Forest”, in IEEE SCOPUS INDEXED, 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC-2024).
• Published a paper, “Blockchain and Machine Learning for Data-Driven Insights in Consumer Behavior Analytics”, in IEEE SCOPUS INDEXED, 13th International Conference on Communication Systems and Network Technologies (CSNT-2024).
• Published a paper, “Potato Leaf Disease Detection Method Based on the YOLO Model”, in IEEE SCOPUS INDEXED, 4th IEEE International Conference on Data Engineering and Communication Systems (ICDECS-2024).
• Published a paper, “Health Monitoring Transforming Using IoT: A Review”, in IEEE SCOPUS INDEXED, International Conference on Computing, Power and Communication Technologies (IC2PCT-2024).
• Published a paper, “A Comprehensive Analysis of Applications in Internet of Things Networks in 5G and 6G”, in IEEE SCOPUS INDEXED, International Conference on Computer, Communication and Control (IC4-2024).
• Published a paper, “Enhancing Traffic Engineering Policy in SDN Addressing TCAM Limitations using Bloom Filters”, in IEEE SCOPUS INDEXED, International Conference on Global Advances in Technology (GCAT-2023).
• Published a paper, “Recognition of Attacks on IoT Devices and Their Prevention Using Deep Learning Methods”, in IEEE SCOPUS INDEXED, International Conference on Big Data Systems (ICBDS-2023), IIIT Naya Raipur, India.
• Published a paper, “A Review of the Authentication Protocol Using HECC and ECC”, in IEEE SCOPUS INDEXED, International Conference on Big Data Systems (ICBDS-2023), IIIT Naya Raipur, India.
• Published a paper, “Hybrid Clustering Techniques for Optimizing Online Datasets Using Data Mining Techniques”, in IEEE SCOPUS INDEXED, International Conference on Big Data Systems (ICBDS-2023), IIIT Naya Raipur, India.
• Published a paper, “A Review of Optimization Algorithms for Training Neural Networks”, in IEEE SCOPUS INDEXED, ICSEIET-2023, ABES Engineering College, Ghaziabad, India.
• Published a paper, “A Review on Protecting SCADA Systems from DDoS Attacks”, in IEEE SCOPUS INDEXED, ICESC-2023, Hindustan Institute of Technology, Coimbatore, India.
• Published a paper, “Safe Methods for Authentication Internet-of-Things Devices”, in IEEE SCOPUS INDEXED, CICTN-2023, ABES Engineering College, Ghaziabad, India.
• Published a paper, “The Empirical Analysis of Artificial Intelligence Approaches for Enhancing Cyber Security for Better Quality”, in SCOPUS INDEXED International Conference IC3I, AMITY University, December 2022.
• Published a paper in IJCSE, “Optimizing Data Pattern of Targeted Customers Using Data Mining Techniques: A Review”, Vol. 6, Issue 9, pp. 584–588, September 2018.
• Published a paper in IJCSMC, “Vehicular Ad-Hoc Network: A Comparative Study & Simulation”, Vol. 2, Issue 5, May 2013.

Patents

A machine learning based image analysis system and noise elimination method thereof.

(Application number: 202111055036, Published)

Patent Office: Indian Patent

Field of Invention: The present invention relates to the field of the system, method and apparatus for
noise elimination and filtering of illumination effects for computer animation.

Book Published

1. Editor of the book “Futuristic Trends in Computing Technologies and Data Sciences”, Volume 3, Book 9, 2024, IIP Series.
2. Book chapter, “Exploring AI-Powered AR and VR Applications in Healthcare”, published by Wiley Publishers, DOI:10.1002/9781394302864, 7 November 2025.