Dr. Ramesh D

Associate Professor • Department of Computer Science & Artificial Intelligence

PhD from

JNTUH

Years of Experience

12 Years

Web Pages

Google Scholar

Contact Details

d.ramesh@sru.edu.in

Availability

9 to 5

Dadi Ramesh received his B.Tech. Computer Science and Engineering from JNTU Hyderabad, M.Tech. in Computer Science and Engineering from JNTU College of Engineering Hyderabad, and PhD from JNTU Hyderabad. To his credit, he has 12 years of teaching and research experience. His area of research interest is Deep learning, Natural Language Processing. He has published 75 papers in International Journals and in conferences. He is currently working as Associate professor in School of Computer Science and Artificial Intelligence, SR University, Warangal, TS, India.

Research Areas

Deep learning Natural Language processing

Student Supervision

PhD:10 on going M TECH:1

PhD

2024

JNTUH

M Tech

2013

JNTUCEH

B TECH

2011

JNTUH

No work experience added.

→ Programming (C
→ C++
→ JAVA
→ Python)
→ Deep
→ earning
→ Machine learning
→ NLP
→ Software testing
→ Information retrival system
→ Artificial intelligence

Key Publications

Ramesh, D., Sanampudi, S.K. An automated essay scoring systems: a systematic literature review. Artif Intell Rev 55, 2495–2527 (2022). https://doi.org/10.1007/s10462-021-10068-2
Ramesh, D., & Sanampudi, S. K. (2024). Coherence-based automatic short answer scoring using sentence embedding. European Journal of Education, 59, e12684. https://doi.org/10.1111/ejed.12684
Kumar, T. S., Dadi, R., Mahesh, D., & Rachavaram, R. K. (2026). Securing SDN-Enabled IoT and IIoT Networks Using a Novel Three-Level Threshold-Based Fuzzy Deep Reinforcement Learning Approach. Computer Networks, 112721.
Bodige, R., babu Akarapu, R., kumar Poladi, P., & Dadi, R. (2026). Unified transformer framework for sarcasm, irony, humor, and regular text detection on social media. Entertainment Computing, 101186.
Ramesh, D., & Sanampudi, S. K. (2023). A multitask learning system for trait-based automated short answer scoring. International Journal of Advanced Computer Science and Applications, 14(10).
Ramesh, D., & Sanampudi, S. K. (2023). Semantic and Linguistic Based Short Answer Scoring System. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 246-251.
Laxmi, P. N., & Dadi, R. (2026, March). Evaluating a Word-Level LSTM Encoder–Decoder Model for English–Telugu Translation. In 2026 8th International Conference on Intelligent Sustainable Systems (ICISS) (pp. 01-09). IEEE.
Lamxi, P. N., & Dadi, R. (2025, October). A Decoder-Only Generative Framework for Low-Resource English-Telugu Neural Machine Translation. In 2025 7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA) (pp. 1337-1342). IEEE.
Ramesh, D., Sridhar, K., & Mohmmad, S. (2025). Multi-Feature Fusion for Robust Heart Sound Classification in Cardiovascular Disease Diagnosis.
Adla, M., & Dadi, R. (2025, July). Leveraging Universal Sentence Encoder and Attention-Based LSTM for Accurate Fake News Classification. In 2025 International Conference on Information, Implementation, and Innovation in Technology (I2ITCON) (pp. 1-5). IEEE.

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