Amit Yadav

About

Mr. Amit Yadav is an experienced academician, researcher, and educator with over 18 years of teaching experience in the field of Computer Science and Engineering. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Data Science, Database Systems, and Optimization Techniques. He is currently serving as Assistant Professor in the Department of Computer Science & Engineering at Noida International University, Greater Noida.

He has recently submitted his Ph.D. research titled "A Novel Feature Selection through Integrating Statistical and Soft Computing Approach with Learning Algorithms for Predicting Human Chronic Diseases" from Sir Padampat Singhania University (SPSU), Udaipur, Rajasthan. His research focuses on Explainable Artificial Intelligence, Feature Selection, Swarm Intelligence, Metaheuristic Optimization, and Healthcare Analytics.

Experience

18+ Years

Qualification

PhD. Pursuing, MTECH(CSE), BTECH(CSE)

Award & Recognition

Best faculty award in 2017, Best PAPER award in 2025(Taylor and Francis conference).

Awards & Achievements

• Successfully completed Ph.D. in Computer Science & Engineering.
• Received Best Paper Award at ICCIAS 2025 (Taylor & Francis) for the paper “Quantum-Inspired Tom and Jerry (QITNJ) Optimization for Heart Disease Prediction.”
• Contributed significantly towards achieving NAAC A+ Accreditation at HCST, Mathura.
• Participated in NBA accreditation activities at Echelon Institute of Technology.
• Completed Hands-on Training on NVIDIA DGX-100 Supercomputer for AI and Deep Learning Applications.
• Served in various academic leadership roles including Department Controller of Examination, Placement Coordinator, Admission Dean, Timetable Coordinator, and Project Coordinator.
• Guided numerous undergraduate projects in Artificial Intelligence, Machine Learning, and Data Science.

Research

1 SCI, 1SCIE, 1 SCOPUS(Q2), 12 CONFERENCE

Publications

Journal Publications

• Published a research paper titled “A novel framework comprising fusion of statistical approach (LASSO) with soft-computing algorithm (PUMA) for optimal feature selection to enhance prediction of cardiovascular disease and diabetes disease” in SN Computer Science (Springer Nature SCOPUS Q2) in year April 2026.
• Published a research paper titled “A hybrid feature selection framework collaborating image processing, evolutionary intelligence, and machine learning for covid-19 disease classification” in NETWORK MODELING ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS (SCOPUS/SCIE) in march 2026.
• Published a research paper titled “An Efficient Hybrid LASSO–WOA (hLWOA) Feature Selection Model for High-Accuracy Thyroid Disease Classification” in Journals of smart sensors and computing in June 2026.
• Present and Published a paper titled “Bridging Statistical and Soft Computing: A Review on Hybrid-Optimization Strategies for Accurate Chronic Disease Detection” in International conference on AI driven Innovation for Industry 4.0 to Society 5.0 (Taylor Francis ICADIS 2025) organized by Noida International University in year October – 2025.
• Present and Published a paper titled “Quantum-Inspired Tom and Jerry(QITNJ) Optimization: A Breakthrough Metaheuristic for Ultra-Accurate Heart Disease Prediction” International Conference on Computational Intelligence and Autonomous Systems (Taylor Francis ICADIS 2025) in year October-2025.
• Published a paper titled “A novel and efficient statistical and soft-computing intelligence integrated feature selection technique for human chronic diseases prediction” in the  Multimedia Tools and Applications – (Springer Nature SCOPUS Q1) in year April-2025.
• Published a paper titled ‘Distracted Driver Detection using machine Learning algorithms in the International Journal of Noval Research and Development (INJRD) ISSN: 2456-4184 in June 2024.
• Authored a paper titled 'Reviewing Human Chronic Disease Detection: A Comparative Analysis of Statistical and Soft Computing Optimization Approaches,' published in the International Research Convention (IRC24), Volume-1, Number-1, ISSN NO: 2249-0132, hosted by Sir Padampat Singhania University, Udaipur, Rajasthan, in March 2024.
• Published and presented a research paper (Biofuels: Microbial Hydrolysis of Cellulosic raw materials for ethanol production) in 2nd International conference on Advancement in Core in Frontier Physics. At GLA University Mathura on 2022-23.
• Published and presented a research paper (Effect of Glass and Bagasse Ash on Sandy Soil) in 2nd International conference on Advancement in Core in Frontier Physics. At GLA University Mathura on 2022-23.

Research Publications

• 09+ Publications in SCIE, Scopus Indexed Journals, International Journals, and International Conferences.

Patents

• Publish a book chapter on title “Embracing a New Era: Machine Learning in Healthcare” in book name “Navigating Tomorrow” published by RM Publication ISDN: 978-93-88948-98-2 Edition 2023 in session 2023-24.
• Publish a book chapter titled “Fire detection using Deep Neural Network” in  book name “Navigating Tomorrow” published by RM Publication ISDN: 978-93-88948-98-2 Edition 2023 in session 2023-24.
• Publish a book chapter on title “IOT for Sustainable Critical Infrastructure” in  book name “Navigating Tomorrow” published by RM Publication ISDN: 978-93-88948-98-2 Edition 2023 in session 2023-24.

Chapters

Published three book chapters in emerging technologies including:

• Machine Learning in Healthcare
• Fire Detection using Deep Neural Networks
• IoT for Sustainable Critical Infrastructure

Certifications

20+ certificates

Area of Interest

Deep learning/Health Care/Optimization/Featuring Engineering/Representation Engineering

• Artificial Intelligence
• Machine Learning & Deep Learning
• Explainable AI (XAI)
• Generative AI (Gen AI)
• Feature Selection
• Evolutionary Computing
• Swarm Intelligence
• Healthcare Analytics
• Disease Prediction Systems
• Optimization Algorithms