Enquire Now
Apply Now
    This post was last updated on       December 30th, 2023
BNMIT Engineering College

Dr. Sunil C K

Designation: Associate Professor

Area of specialization: Machine Learning , Deep Learning and NLP

Date of Joining BNMIT: 2/9/2023

Nature of Association (Regular/Contractual/Adjunct): Regular

E-mail Id: sunilck@bnmit.in

No. of years of Experience: 12 Years


DegreeInstitution / UniversityDateResult
Ph.D.NITK Surathkal2023 Awarded
ME (Software Engineering)UVCE, Bengaluru (BU)2015FCD
BE (Computer Science and Engineering)KVGCE, Sullia (VTU)2009FC



1BNMIT BengaluruAssociate Professor01-09-2023 to Till date
2BNMIT BengaluruAssistant Professor09-02-2023 to 30-08-2023
3NITK SurathkalResearch Scholar24-12-2018 to 31-01-2023
4SIT MangaluruAssistant Professor01-08-2017 to 23-12-2018
5SCEM MangaluruAssistant Professor12-07-2016 to 12-08-2017
6BNMIT BengaluruAssistant Professor25-01-2016 to 31-05-2016
7VCET PutturLecturer15-07-2011 to 14-06-2013
8PCET, LailaLecturer01-07-2009 to 07-07-2011

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


  • 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


  • 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


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


  • 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

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