SR University

Ph.D

Dr. Kummari Venkatesh

Assistant Professor • Department of Computer Science & Artificial Intelligence

PhD from

NIT Raipur

Years of Experience

3 Years

Web Pages

Google Scholar

Contact Details

k.venkatesh@sru.edu.in

Availability

Mon - Friday, Block-I, Room No:1113

Currently working as Assistant Professor in the Department of Computer Science and Artificial Intelligence, SR University (2025–Present). Worked as Assistant Professor at Guru Nanak University (GNU), Hyderabad (2024-2025). Served as Junior Research Fellow (JRF) and Senior Research Fellow (SRF) at Defense Research and Development Organization (DRDO) (2018–2021). UGC NET qualified (Dec, 2019). Worked as Assistant Professor at VITS, Hyderabad (2016–2018).

Interests

Precision agriculture Deep learning

Research Areas

Precision agriculture Deep Learning Agentic AI

Student Supervision

Ph. D: 3 On going, M Tech: 01 on going

Ph.D (CSE)

2025

NIT Raipur

M Tech (CSE)

2016

B Tech

2013

JUNTUH

Asst. Prof

2016 to 2018

VITS

JRF SRF

2018 to 2021

DRDO

Asst. Prof

2024 to 2025

GNU

Asst. Prof

2025 to present

SRU

→ Python
→ Theory of computation
→ Data bases

Key Publications

Venkatesh, K., & Naik, K. J. (2026). Enhanced real-time monitoring of nutrient deficiencies and crop yield loss prediction using a soft attention-based model and time series data analysis. Progress in Artificial Intelligence, 1-18. https://doi.org/10.1007/s13748-026-00456-6 (ESCI, IF=3.1) • Venkatesh, K., Naik, K.J. “An ensemble transfer learning for nutrient deficiency identification and yield loss prediction in crop”. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18592-3 (SCIE, IF=3.6). and • Venkatesh, K., Naik, K.J. & Shankar, A. “Quantum convolution neural network for multi-nutrient detection stress identification in plant leaves”. Multimed Appl (2024). https://doi.org/10.1007/s11042-023-17992-1, (SCIE, IF=3.6), Springer Nature (citations :14) Tools • Venkatesh, K., Naik, K.J. “Nutrient deficiency identification and yield-loss prediction in leaf images of groundnut crop using transfer learning”. SIViP (2024). https://doi.org/10.1007/s11760-024-03094-4, (SCIE, IF=2.3). • Venkatesh, K., Naik, K.J. Multi-nutrient deficiency identification and yield loss prediction in groundnut crop using efficient ensemble transfer learning. Neural Comput & Applic 38, 663 (2026). https://doi.org/10.1007/s00521-026-12168-y (Scopus) • Venkatesh, K., & Naik, K. J. (2026). Hybrid CNN-ViT Framework for Enhanced Plant Illness Identification: Accuracy and Interpretability Improvements. Engineering Research Express. 10.1088/2631-8695/aea3bb . (ESCI, IF=1.9)