Academic Positions and other Responsibilities (Institute Level): 

1. Co-ordinating with CISCO for “Programming Essentials in C” course certification for 1^st year students as a trainer. During 2019-20 and 2020-2021.
2. Co-ordinating with CISCO for “Programming Essentials in C++” course certification for 2^nd year students as a trainer. During 2019-20 and 2020-2021.
3. Resource person for add on program “Course on java” for 3^rd year students as a trainer. During 2020-21.
4. VTU Co-ordinator- Responsible to register new faculty details in VTU portal, update all department faculty details yearly, do the subject mapping in every semester.
5. AICTE co-ordinator-Regularly updating department faculty details in AICTE portal from the year 2018.
6. Final Year Internship guide ship from
7. NAAC criteria 1 main coordinator institution level
8. Working for NBA criteria-7.

Awards and Achievements 

• Received Appreciation letter from Dept. of ISE for achieving Very Good student feedback in the year 2017.
• Received Appreciation letter from Dept. of ISE for achieving Very Good Result in the year 2018.

Professional Memberships: 

• Life time Member of ISTE (LM 118337) 
• Computer Science Teacher Association Member 

 Participation in FDP/Training courses/Seminars/Workshops

• NIL

Reviewer at National/International Conference/Seminars:

• Reviewer for IEEE conference 2022
• Technical Program committee member and reviewer in congress on smart computing technologies held in December 2,3 2023.
• Program committee member and reviewer in 4th congress on intelligent system held in sept 4,5 2023.

Session Chair/ Judge:

• Has been session chair/ reviewer for International Conference on Computing and Intelligent Information Systems
• Has been session chair/ reviewer for 2^nd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics

Courses Handled 

Under Graduate

• Design and Analysis of Algorithms
• Artificial Intelligence
• Advanced Artificial Intelligence
• Java for mobile applications development,
• Design and Analysis of Algorithms Lab
• Advanced Java, Data Structure Lab
• Database Management System
• Database Management Lab
• Data Structure in ‘C’
• Computer Organization
• Java and Internet Programming
• Java Lab.

Post Graduate

• Storage Area Network

Research Interest:

• Image Processing and Deep Learning

Patent: 

1. Intelligent System For Remote Person Monitoring Based On The Internet Of Things And Wireless Body Sensor Published on 7/1/2022. Patent Number: 202141061763.
2. Intelligent IoT Device For Automating  Fingerprints Using Machine Learning And Statistical Payload Fingerprints Published on 3/1/2022. Patent Number: 202022100016.6.

International Journals: 

• Nagarathna C R (2024). Ensemble Stacking Method of Classifying the Stages of Alzheimer’s Disease by using MRI Dataset. International Journal of Artificial Intelligence, 11(2), 62-69.
• Himaja, G., Kundan, K. M., & Nagarathna, C. R. (2024). Car parking slot detection using Hough line transform and CNN model. In Computer Science Engineering (pp. 703-711). CRC Press.
• Chandana, S., Nagarathna, C. R., Amrutha, A., & Jayasri, A. (2024, January). Detection Of Image Forgery Using Error Level Analysis. In 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) (pp. 1-5). IEEE.
• Rangegowda, N. C., Mohanchandra, K., Preetham, A., Almas, M., & Huliyappa, H. (2023). A Multi-Layer Perceptron Network-Based Model for Classifying Stages of Alzheimer’s Disease Using Clinical Data. Revue d’Intelligence Artificielle, 37(3), 601. 
• Nagarathna, C. R., Kusuma, M., & Seemanthini, K. (2023). Classifying the stages of Alzheimer’s disease by using multi layer feed forward neural network. Procedia Computer Science, 218, 1845-1856. 
• Nagarathna, C. R., & Mohanchandra, K. (2023). An overview of early detection of Alzheimer’s disease. International Journal of Medical Engineering and Informatics, 15(5), 442-457. 
• Nagarathna, C. R., & Kusuma, M. M. (2023). Early detection of Alzheimer’s Disease using MRI images and deep learning techniques. Alzheimer’s & Dementia, 19, e062076. 
• CR Nagarathna., & Kusuma M (2022). Ensemble approach for early detection and classification of stages of Alzheimer’s disease. Alzheimer’s & Dementia, 18, e059124. 
• Nagarathna C R, Dr M Kusuma “Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN” Journal of Soft Computing Paradigm. DOI: 10.36548/jscp.2021.4.007.https://irojournals.com/jscp/article/view/3/4/7Volume – 3 | Issue – 4 | December 2021 
• Nagarathna C R “The Technique to Detect and Avoid The Denial Of Service Attacks In Wireless Sensor Networks” International Journal of Research in Engineering and Technology. DOI: https://ijret.org/volumes/2014v03/i05/IJRET20140305124.pdf 
• Nagarathna C R., M, K., Preetham, A. & Almas, M. (2023). Alzheimer’s Classification from EGG Signals Employing Machine Learning Algorithms. Journal of Electronics and Informatics, 5(4), 386-404. doi:10.36548/jei.2023.4.003 
• R, N. C., A, J., S, C. & A, A. (2023). Identification of Image Forgeries using Machine Learning – A Review. Journal of Innovative Image Processing, 5(3), 323-336. doi:10.36548/jiip.2023.3.007 

Papers presented in International/National Conferences 

International Conference

• Nagarathna C R “Detection Of Image Forgery Using Error Level Analysis”. IEEE International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE).
• Nagarathna C R “ Car Parking slot detection using Hough Line Transform and CNN model”. Trylors and francis group International Conference on
  Computing and Intelligent Information Systems.
• Nagarathna, C. R., & Kusuma, M. (2021, November). “Comparative study of detection and classification of Alzheimer’s disease using Hybrid model and CNN”. In 2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON) (Vol. 1, pp. 43-46). IEEE. DOI: 10.1109/CENTCON52345.2021.9688082. 
• Nagarathna C R, Dr M Kusuma “Detection and classification of Alzheimer’s using Deep Learning Techniques” 3rd International conference on Communication and Intelligent System, New Delhi(ICCIS-2021). 
• Bhavyashree H.L, Nagarathna C R “Modified Cluster Based Certificate Blocking of Misbehaving Node In Mantes” International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE-2019). DOI: 10.1109/ICATIECE45860.2019.9063622. 

National Conference  

• Nagarathna C R “A survey on intrusion detection system in wireless sensor networks” Research Trends in Computer Applications and Information Management Acharya Institute of Management and Sciences (AIMS), Bengaluru, 24th and 25th January 2014 
• Nagarathna C R “The method to detect and avoid denial of service attacks in WSN”, National Conference on Real Time System City Engineering College (CEC), Bengaluru, 9th and 10th May 2014 
• Nagarathna C R “Authentication Technique to Detect and Avoid Black – hole Attack in WSN”, Name: NCETCSE-2017, DSATM Bangalore, 19th may 2017 
• Nagarathna C R “An Online Election Voting System: A Prototype” NCCSTM-2018, DSATM, Bangalore, 3rd may 2018 
• Nagarathna C R “SURVEY PAPER ON GESTURE RECOGNITION OF BHARATHANATYAM MUDRAS” NCCSTM-2018, DSATM, Bangalore, 3rd may 2018. 

Hobbies:

• Sports
• Music

Any other things: