FAVAR-GAT: A Hybrid Temporal-structural Model for Drug-target Binding Affinity Prediction
Current Drug Targets—peer-reviewed, Scopus/SCI
Established 199785+ Faculty Members
Computer Science & Engineering
Empowering Next-Generation Computing, AI Systems & Software Engineering
14 years
Teaching Experience
14 years
Total Experience
Ph.D. (Pursuing)
Highest Qualification
2+
Published Works
About & Biography
Ms. Madhuri Sharma is an academic and researcher in Computer Science and Engineering, with expertise in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Natural Language Processing, and Software Engineering. Her research focuses on developing intelligent and data-driven solutions for healthcare and related applications. She has authored research publications and actively contributes to teaching, research, and academic development.
Education & Qualifications
Doctorate2026
Ph.D.
Computer Science and Engineering
SRM Institute of Science and Technology
Masters2012
M.Tech
Computer Science and Engineering
CDAC-Noida
Bachelors2010
B.Tech
Computer Science and Engineering
UPTU
Research Specialization & Focus Areas
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science & Analytics
- Natural Language Processing
- Software Engineering
Scholarly Publications
2 publications
2026
The Future of Protein Sequence Generation: Performance Assessment Insights
The International Arab Journal of Information Technology—peer-reviewed, Scopus/SCI