Mr. Nagurla Mahender – Assistant Professor | SR University

Mr. Nagurla Mahender

Mr. Nagurla Mahender

Assistant Professor • Department of Computer Science & Artificial Intelligence

Ph.D. from

Years of Experience

13 Years

Web Pages

Contact Details

nagurla.mahender@sru.edu.in

Availability

Mon -Friday from 9:30-5:30 in 1208

**Profile Summary**

I am Nagurla Mahender, working as an Assistant Professor in the Department of Computer Science and Engineering at SR University. I am currently pursuing my Ph.D. at SR University in the domain of Deep Learning. I have published 10 conference papers in various areas of computer science. My primary research interests include Deep Learning and Artificial Intelligence. Previously, I worked as the Head of the Department of Computer Science at New Science Degree and PG College, gaining valuable academic and administrative experience. I have strong programming skills, particularly in Java, and extensive teaching experience in programming and core computer science subjects. I have also taught Machine Learning and am passionate about integrating practical programming skills with emerging AI technologies in academic teaching and research.

Interests

reading new things writing research papers

Research Areas

Deep learning NLP

Student Supervision

7 batches

Ph.D pursuing

2023

SR University, Warangal

MCA

2012

Newscience PG College

BSC Maths

2009

Bhargavi Degree College

IPE(MPC)

2006

Vishwanbhara Jr College, Kamalapur

SSC

2004

ZPHS Boys, Kamalapur

Assistant Professor

2023-till date

SR University

Lecturer

2013-2023 march

Newscience Degree and PG College, Hanamkonda

→ Java
→ DBMS
→ Machine learning

Key Publications

Mahender, N., Jisha, L. K., Somashekar, D. P., & Venkatanarayana, K. (2025, December). PALSTM-Forecaster–PCA and Attention-LSTM Based Model for Solar Radiation Time Series Forecasting. In 2025 IEEE International Conference on Smart Power, Energy, Renewables, and Transportation (SPERT) (pp. 1-7). IEEE.
Mahender, N., & Chandrename, S. (2026, June). AFS-BERTweet: An Adaptive Feature-Selection Framework for Robust Sentiment Analysis under Sarcasm and Irony in Noisy Social Media Data. In 2026 IEEE Global Symposium on Emerging and Communication Technologies (GSEACT) (pp. 1-6). IEEE.
Mahender, N., & Chandre, S. (2025, June). M3V-BERT: A Multilingual NLP Framework for Suicide Ideation Detection on Social Media. In International Conference on Intelligent Vision and Computing (pp. 342-353). Cham: Springer Nature Switzerland.
Mahender, N., Padmaja, S., Shivanadhuni, R., Rao, L. G., & Mohmmad, S. (2023, November). An enhanced approach for detecting and classifying the diabetic retinopathy by utilizing an optimized convolutional neural network. In 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) (pp. 1-6). IEEE.
Mohmmad, S., Mahender, N., Aaleti, B., Shashank, A., Niveditha, R. L., & Rahman, M. Z. A. U. (2024, March). Enhancing diagnostic accuracy denoising medical imaging. In 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1-5). IEEE.
Kiran, K., Gudimilla, P., Ravi, S., Mahender, N., & Mohmmad, S. (2023, December). An optimized approach for monkey-pox prediction with neural networks. In 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 469-473). IEEE.
Meegada, R., Reddy, M. M., Suneetha, M., & Mahender, N. (2026, March). EWT-DCM: A Lightweight, Energy-Conscious Model for Real-Time Cardiac Anomaly Forecasting on Edge Devices. In 2026 International Conference on Intelligent Computing, Networks, and Security (IC-ICNS) (pp. 1-6). IEEE.
Asiya, S., Aparna, D., Mahender, N., Raamizuddin, M., & Anoosha, P. (2023, July). Malaria Parasite Detection Using Deep Neural Networks. In International Conference on Data Science and Applications (pp. 309-321). Singapore: Springer Nature Singapore.
Deepan, S., Suchitra, B., Arya, N., Ghori, M. A. S., Bora, A., & Mahender, N. (2023, December). Machine Learning-Powered Design and Implementation for Classification of Missing Data in IoT Applications. In International Conference on Mechanical and Energy Technologies (pp. 167-179). Singapore: Springer Nature Singapore.
Mahender, N., & Chandre, S. (2026). M3V-BERT: A Multilingual NLP Framework. Intelligent Vision and Computing: Proceedings of ICIVC 2025, Volume 2, 2, 342.