Naved Ahmad is an academician, presently working as Assistant Professor of Computer Science & Engineering at IILM University, Gurugram. He has experience spanning teaching and research across engineering institutions in the National Capital Region, including Lloyd Institute of Engineering & Technology, Greater Noida, and Akhilesh Das Gupta Institute of Technology & Management, New Delhi. He is currently pursuing a Ph.D. in Computer Science, with his primary research interests lying in Artificial Intelligence, Machine Learning, and Healthcare AI. As a researcher, he has published extensively across Scopus-indexed journals, edited volumes, and international conference proceedings, and holds a patent for an IoT-based road accident detection and notification system. He is committed to innovative teaching methodologies, curriculum design aligned with NBA and NEP 2020 guidelines, and mentoring students.
EDUCATIONAL QUALIFICATION
- Ph.D., Computer Science (2021–Present, Pursuing)
- Master of Computer Applications (2019–2021)
- Bachelor of Computer Applications (2016–2019)
ACADEMIC EXPERIENCE
- Assistant Professor, IILM University, Gurugram (Feb 2025-Present)
- Assistant Professor, Lloyd Institute of Engineering & Technology, Greater Noida (Jun 2024-Feb 2025)
- Assistant Professor, Akhilesh Das Gupta Institute of Technology & Management, New Delhi (Oct 2023-Jun 2024)
RESEARCH AND SCHOLARLY PUBLICATION
JOURNAL PUBLICATIONS & BOOK CHAPTERS
- “Artificial Intelligence in Medical Field”, Scopus Indexed, https://doi.org/10.4108/eetpht.9.4713
- “The Application of AI in Drug Discovery: Challenges, Opportunities, and Strategies”, IGI Global, 2024, ISBN: 9798369354681.
- “Digital Twin Model Design for Smart Villages”, Elsevier, 2024, DOI: 10.1016/b978-0-443-28884-5.00006-3.
- “Real-World Applications of Generative AI for Data Augmentation”, Springer, https://link.springer.com/chapter/10.1007/979-8-8688-0315-4_15
- “Transforming Healthcare through Generative Artificial Intelligence”, CRC Press, Taylor & Francis, 2024.
- “Automated Machine Learning in Biological and Medical Healthcare Industries”, Wiley Publication, 2024, DOI: 10.1002/9781394272426.ch3.
- “Evaluating Early Phase Risks in Software Modules through the Prototype Design Pattern”, Advances in Nonlinear Variational Inequalities, 2025.
- “Semi-analytical Framework for Dynamic Stress Concentration in Piezoelectric Media”, DOI: 10.1007/s10665-025-10483-2
CONFERENCE PROCEEDINGS
- “Advancements in ML and Deep Learning for Early Detection of Parkinson’s Disease”, ICICC 2025, Springer Nature, DOI: 10.1007/978-981-96-7134-2_43
- “Hierarchical Variational Transformers with XGBoost for Early Diagnosis of Parkinson’s Disease”, ICDAM 2025, Springer Nature, DOI: 10.1007/978-3-032-03769-5_7
PATENTS
- “Integration of Machine Learning and IoT-Based Road Accident Detection and Notification System”, Application No: 202311067370 (2023).
CERTIFICATIONS
- Introduction to Big Data -Coursera, University of California San Diego (2020).
- Big Data Integration and Processing -Coursera, University of California San Diego (2021).
AREAS OF INTEREST
Artificial Intelligence, Machine Learning and Healthcare AI
