faculty-profile

Dr. NAGESWARARAO NAIK BHOOKYA

info

Assistant Professor

CS & AI

NIT-Trichy

14

web-pages

Machine Learning, Deep Learning, Artificial Intelligence, Pattern Recognition

Image Classification using Deep Learning Techniques

Educational
Qualifications
(From Highest)

2024

Ph.D in Electronics and Communication Engineering from NIT-Tiruchirapalli

2011

M.Tech in DECS from JNTU, Kakinada

2003

B.Tech in Electronics and Communication Engineering from ANU, Guntur

Professional
Experience

2025

Assistant Professor at , from 2025-07-17 to .

2024

Associate Professor at Sri Mittapalli College of Engineering, Guntur, from 2024-07-15 to 2025-07-01.

2017

Research Scholar at NIT-Trichy, Tiruchirapalli, from 2017-07-03 to 2024-02-14.

2015

Assistant Professor at St.Mary's Group of Institutions, Guntur, from 2015-06-02 to 2017-05-25.

2013

Assistant Professor at KKR & KSR Institute of Technology & Sciences, Guntur, from 2013-06-05 to 2015-05-31.

2011

Assistant Professor at Nalanda Institute of Engineering & Technology, Sattenapalli, from 2011-01-20 to 2013-04-30.

Student
Supervision

8

PG

22

UG

Key Publications

Yield Estimation of Chilli Crop using Image Processing Techniques, 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, March 2020, DOI: 10.1109/ICACCS48705.2020.9074257

Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model, Ecological Informatics, ELSEVIER, May 2022, DOI: 10.1016/j.ecoinf.2022.101663

Refined single-stage object detection deep-learning technique for chilli leaf disease detection, Journal of Electronic Imaging, June 2023, DOI: 10.1117/1.JEI.32.3.033039

Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification, IEEE Transactions on Artificial Intelligence, IEEE, April 2024, DOI: 10.1109/TAI.2024.3364126

Leaf Disease Classification of Various Crops Using Deep Learning Based DBESeriesNet Model, SN Computer Science, Springer Nature, April 2024, DOI: 10.1007/s42979-024-02746-z

Enquiry