Awards and Achievements

• GATE 2023
• UGC-NET December-2019
• UGC-NET July-2018

Expertise / list of Subjects handled

• Algorithms and Data Structures
• Artificial Intelligence,  Machine Learning and Deep Learning
• Automata Theory and Compiler Design
• Big Data
• Data Analytics, Soft Computing, and Data Mining
• DBMS
• Graph Theory and  Discrete Mathematics
• Java and Python
• Number Theory

Research Interest

• Applications of  Machine Learning, Deep Learning, and NLP

Journal

• Guowei Dai, Zhimin Tian, Jingchao Fan, Sunil CK, Christine Dewi (2024) “DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification ”, Computers and Electronics in Agriculture, Pages 108481, DOI: 10.1016/j.compag.2023.108481 Scopus/SCIE/WoS/IF: 8.3/Q1
• Sunil C K, Jaidhar C D, and Nagamma Patil (2023), “Systematic study on deep learning-based plant disease detection or classification”, Artificial Intelligence Review, Springer Volume: 56, 14955–15052 (2023). https://doi.org/10.1007/s10462-023-10517-0. Scopus/SCIE/IF: 12/Q1
• Sunil C K, Jaidhar C D, and Nagamma Patil (2023), “Tomato plant disease detection using Multilevel Feature Fusion with adaptive channel pixel and spatial attention mechanism ”, Expert Systems with Applications, Elsevier, Volume: 228, Pages 120381, DOI 10.1016/j.eswa.2023.120381. Scopus/SCIE/IF: 8.5/Q1
• Sunil C K, Jaidhar C D, and Nagamma Patil (2021), “Cardamom plant disease detection approach using efficientNetV2 ”, IEEE Access, Volume: 10, Pages 789–804, DOI 10.1109/ACCESS.2021.3138920. Scopus/SCIE/IF: 3.9/Q1
• Sunil C K, Jaidhar C D, and Nagamma Patil (2022), “Binary class and multi-class plant disease detection using ensemble deep learning-based approach ”, International Journal of Sustainable Agricultural Management and Informatics, Volume: 8, Issue: 4, Pages 385–407 DOI 10.1504/IJSAMI.2022.10050415. Scopus/ESCI/IF: 1.2/Q2

Conference

• Sunil C K, Jaidhar C D, and Nagamma Patil (2020), “Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection”, In 15th IEEE International Conference on Industrial and Information Systems (ICIIS 2020), held at IIT Ropar, India. Pages 460–465, DOI 10.1109/ICIIS51140.2020.9342729. Scopus and Core Rank C
• Sunil C K, Sujan Reddy, Shashikantha G Kanber, Sandeep V R and Nagamma Patil (2022), “Comparative Analysis of Intrusion Detection System using ML and DL Techniques”, In 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), (Accepted and Presented). Scopus and Core Rank C
• Akashdeep S, Akshith Nettar Mahalinga, Harshvardhan R, Sunil Chinnahalli K, and Nagamma Patil (2022), “Using stacking ensemble method for rental bike prediction”, In International Conference on Intelligent Computing Systems and Applications, held at NIT Silchar, India. (Accepted and Presented). Scopus
• Nirmal Kedkar, Kotla Karthik Reddy, Hritwik Arya, Sunil Chinnahalli K, and Nagamma Patil (2023), “Vehicle Re-identification Using Convolutional Neural Network”, In 4th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML)-2023, held at NIT Rourkela, India. (Accepted and Presented). Scopus
• Savitri Kulakarni, Keerthi Ready, Sunil CK, Shubhodeep Pal,  Shreekanth Dash, P Deepa Shenoy, and Venugopal K R (2023), “Coffee Plant Disease Identification using Enhanced Short Learning EfficientNetV2”, In 20th IEEE INDIA COUNCIL CONFERENCE (INDICON 2023), held at CMRIT, Hydrabad, India. (Accepted and Presented). Scopus

Book Chapters

• Sunil CK and Jaidhar CD (2024), “An Efficient Infectious Disease Detection in Plants Using Deep Learning”, 3rd PhD Research Symposium, In 20th International Conference on Distributed Computing and Intelligent Technology (ICDCIT-2024), will be held at KIIT, Bhubaneswar, India. (Accepted). Scopus

Hobbies

• Agriculture
• Yoga
• Running open runs and Selected Marathon races
• Playing Tennis

Sports

• Have won six medals (2 Gold, 3 Silver, and 1 Bronze) in VTU athletics meet during graduation (2007-2009).
• Represented VTU in Inter-University athletics meet and Cross Country Competition.
• Represented NITK in Inter-NIT athletics and won two medals (1 Gold  in 5000 mtrs and 1 Silver in 1500 mtrs) in 2022.

           Have won places in open races, naming a few

• 3^rd in Bengaluru Ultra Marathon held on 7th Jan 2018 (50 Km in 3hrs 49 Minutes)
• 3^rd in TCS 10K in age category  2018
• Great Bengaluru 10k (2^nd Place in age category Jan 2023
• Mangaluru marathon (10k) 3^rd place in age category Nov 2022).
• 4^th in NITK Karavali Marathon 2021 (1^st in Indian category)
• 4^th in Manipal Marathon 2021 (1^st in Indian category)