Scopus / SCI Indexed Journal

1. Blockchain Technology Business in Healthcare Systems: Benefits, Challenges, and Applications Int. Journal of Business and Globalization, 2024, 38(3), pp. 326–352
2. Advanced Deep Transfer Learning Techniques for Efficient Detection of Cotton Plant Diseases Frontiers in Plant Science, 2024, 15, 1441117
3. Technological Entrepreneurship for Post-COVID Healthcare Sustainability World Review of Entrepreneurship Management and Sustainable Development, 2023, 20(1), pp. 58–84
4. AI-Based Malaria Parasite Detection Using Microscopic Images Archives of Computational Methods in Engineering, 2023, 30(8), pp. 4781–4800
5. An IoT-Based Federated and Deep Transfer Learning Approach to Detect Chest Diseases Human Centric Computing and Information Sciences, 2022, 12, 24
6. Ethics of Advertisement and Marketing in India Rupkatha Journal on Interdisciplinary Studies in Humanities, 2020, 12(1)
7. Paper published in Scholars World-International Refereed Multidisciplinary Journal Of Contemporary Research titled “Comparative study of Windows 7 and Windows 8” Cloud Computing: An Emerging Technology at IMT Ghaziabad.
8. Paper published in National Conference “The changing paradigms in Management and Information technology” titled “Design issues in development of web based E-learning applications for interactive learning using Joomla”
9. Paper published in “Journal of Engineering Computers & Applied Sciences” titled “Study of School Based Service Software: With Reference To Fedena”

Conferences

1. Using ML Sentiment Analysis to Evaluate Student Learning Impact – ICDT 2025
2. Blockchain Applications Beyond Bitcoin – ICACITE 2021
3. Blockchain in Healthcare – SMART 2021
4. Digitalisation: Need or Necessity – Harvard Business School, London (Video Conference)
5. E-CRM in Banking Sector – SBI – ICTM Hyderabad
6. Cloud Computing: An Emerging Technology – IMT Ghaziabad
7. Knowledge Management Using Joomla – Symbiosis Noida
8. Google Chrome OS: A Step Ahead – ICTI 2011, IRDO Chennai
9. IT Reforms: A Way Forward – Jaipuria Institute
10. Web-Based E-Learning Models Using CMS – IMR Ghaziabad

Workshops / FDP

1. Workshop on JOOMLA – DIMT Ghaziabad
2. Workshop on Computer Fundamentals – AKGEC
3. FDP on Cyber Security – Jaipuria Institute
4. FDP on Artificial Intelligence – IMS Ghaziabad

Training Programs Conducted

1. Programming Logic and Problem Solving Using C & C++
2. Advanced Shell Programming & Unix System Concepts

Certifications & Technical Skills

1. NET Certification – SSI
2. CCP Certificate – Infosys
3. Languages: C, C++, PHP, .NET
4. Tools: MS Office, Internet Technologies

Awards & Achievement

1. Delivered a research presentation at Harvard Business School, London (Virtual)
2. Published in multiple Scopus and SCI-indexed journals

Subjects Taught

• Artificial Intelligence
• Operating Systems
• Data Structures using C
• Web Technologies
• Software Engineering
• C++ & OOPs
• Multimedia
• E-Commerce
• Programming Principles & Algorithms
• Production & Operations Management
Achievements I have actively contributed to interdisciplinary research in the fields of Artificial Intelligence, Deep Learning, Healthcare Analytics, Educational Technology, and Agricultural Technology through publications in reputed journals and presentations at international conferences. My research paper, “Translating Artificial Intelligence into Socio-Economic Insight: A Hybrid Deep Learning Approach to Employee Financial Well-Being,” was published in Discover Artificial Intelligence. Another notable contribution, “Enhancing Lymphoma Cancer Detection Using Deep Transfer Learning on Histopathological Images,” was published in Scientific Reports. I also presented and published the research work “Blockchain-Enabled IoMT and Deep Learning Framework for Accurate Lung Cancer Detection and Risk Factor Evaluation” at the 14th International Conference on System Modeling and Advancement in Research Trends (SMART 2025). Additionally, my paper titled “Using Machine Learning Sentiment Analysis to Evaluate Students' Learning Impact” was published in the 3rd International Conference on Disruptive Technologies (ICDT 2025). In the domain of agricultural technology, my research paper “Advanced Deep Transfer Learning Techniques for Efficient Detection of Cotton Plant Diseases” was published in Frontiers in Plant Science. These achievements reflect my commitment to impactful, technology-driven research aimed at addressing real-world challenges in healthcare, education, agriculture, and socio-economic development.