SR University

Mr. Nagendar Yamsani

Assistant Professor, Research Officer • Department of Computer Science & Artificial Intelligence

PhD from

Years of Experience

16 Years

Web Pages

Google Scholar

Contact Details

nagendar.y@sru.edu.in

Availability

Mon-Fri: 11.30 am to 12.30pm @ 2004

Nagendar Yamsani received his B.Tech degree in Computer Science and Engineering and the M.Tech degree in Computer Science and Engineering. He is currently pursuing his Ph.D. in Computer Science. His research interests include edge computing, cloud computing, deep reinforcement learning, task scheduling, artificial intelligence, and distributed systems. His current work focuses on developing intelligent learning-based frameworks for optimizing latency, energy consumption, and quality-of-service in edge–cloud environments.

Interests

Automata Theory Data Structures Discrete Mathematics Computer Networks

Research Areas

Edge Computing Network Optimisation

Student Supervision

M.Tech: 06, B.Tech Projects: 32

M.Tech(CSE)

2009

JNTUH

B.Tech(CSE)

2006

JNTUH

Assistant Professor

2010 - Present

SR UNIVERSITY

→ ToC
→ DS
→ DMS
→ CN
→ CPP

Key Publications

Yamsani, N., & P, C. R. (2026). SLA aware deep reinforcement learning for adaptive EdgeCloud task scheduling. Scientific Reports, 16, Article 10037.
Shaik, M. A., Maram, B., Gampala, V., Angadi, A., Agrawal, A. K., & Yamsani, N. (2026). “Efficient deep Kronecker-Taylor network for automated osteoporosis detection in knee X-ray images.” Biomedical Signal Processing and Control, 126, Article 110998.
Upender, T., Neelakantappa, M., Rao, C. P., Gera, J., Reddy, V. L., & Yamsani, N. (2025). “CyberDetect MLP a big data enabled optimized deep learning framework for scalable cyberattack detection in IoT environments.” Scientific Reports, 15, Article 40865