Regulatory-orientedDeep federated learning framework for multi-hospital medical imaging: privacy-preserving, explainable, and generalizable diagnosis
Springer—peer-reviewed, Scopus/SCI
Dr. Chandra Shakher Tyagi
Assistant Professor•Department of Computer Science & Engineering
14.2 Yrs
Teaching Experience
14.2 Yrs
Total Experience
Ph.D.
Highest Qualification
14+
Published Works
About & Biography
I am Dr. Chandra Shakher Tyagi, an A.P. and Head of the Internal Examination Cell (Head-IEC) at SRM Institute of Science and Technology, Delhi-NCR Campus. My research interests include Artificial Intelligence, Machine Learning, Deep Learning, VLSI Design and IoT, with a focus on research leadership and scholarly development. I am actively involved in academic governance, examination management, quality assurance, and academic coordination. My teaching philosophy emphasizes student-centered, practical, and application-oriented learning, fostering critical thinking, problem-solving, and innovation.
Education & Qualifications
Doctorate2022
Ph.D.
Noida International University
Masters2014
M.Tech
SRM Institute of Science and Technology
Bachelors2010
B.Tech
Computer Science & Engineering
SRM Institute of Science & Technology
Research Specialization & Focus Areas
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Internet of Things (IoT)
- VLSI & Embedded Systems
Scholarly Publications
14 publications
2026
2025
Study on the Effect of Varying Cooling Conditions on Microstructural and Mechanical Performance of the GTAW Joint of Heat-Resistant P92 Steel
Springer—peer-reviewed, Scopus/SCI
Detection and classification of cervical cancer using optimized deep learning approach
biorxiv—peer-reviewed, Scopus/SCI
Laser welding on 10 mm thick grade 92 steel for USC applications: microstructure and mechanical properties
Springer—peer-reviewed, Scopus/SCI
2023
Loan Payment Date Prediction Model Using Machine Learning Regression Algorithms
2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)—Conference proceeding
Other
Heart Disease Diagnosis Using Machine Learning Classifiers
International Advanced Computing Conference—Conference proceeding