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 

• NIL

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.

Short Term Courses  

• NIL

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: 

• 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

1. 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. 
2. 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). 
3. 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  

1. 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 
2. 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 
3. Nagarathna C R “Authentication Technique to Detect and Avoid Black – hole Attack in WSN”, Name: NCETCSE-2017, DSATM Bangalore, 19th may 2017 
4. Nagarathna C R “An Online Election Voting System: A Prototype” NCCSTM-2018, DSATM, Bangalore, 3rd may 2018 
5. Nagarathna C R “SURVEY PAPER ON GESTURE RECOGNITION OF BHARATHANATYAM MUDRAS” NCCSTM-2018, DSATM, Bangalore, 3rd may 2018. 

Hobbies:

• Sports
• Music

Any other things: