Ms. K Karpagavadivu
M.E (CSE)
Assistant Professor (Sl.Gr.)
Artificial Intelligence & Data Science
Biography
I obtained my Bachelor's degree in Computer Science and Engineering from Anna University, Chennai, and my Master's degree in Computer Science and Engineering from Anna University, Chennai. I am currently pursuing a Doctor of Philosophy (Ph.D.) in Information and Communication Engineering. I am a dedicated and highly motivated Assistant Professor in the Department of Artificial Intelligence and Data Science at Dr. N.G.P. Institute of Technology. Prior to this, I served at Bannari Amman Institute of Technology, SNS College of Technology, Coimbatore, and Nandha Engineering College, Erode. With over 10 years of academic experience, I have organized several sponsored workshops, seminars, and Faculty Development Programs (FDPs) for the benefit of students and faculty members. I possess extensive hands-on experience in Data Warehousing and Mining, Python Programming, C and C++, Data Structures, Mobile Computing, and Software Testing. My current research interests include Data Analytics, Image Processing, and Cyber Security. In addition, I have published several research papers in both national and international journals.
Academic Credentials
Swipe to see more| Degree | Specialization | Institute | University | Year of Passing |
|---|---|---|---|---|
| M.E. | Computer Science and Engineering | SNS College of Technology | Anna University | 2013 |
| B.E. | Computer Science and Engineering | Nandha Engineering College | Anna University | 2005 |
Academic & Professional Experience
Swipe to see more| Experience / Role | Type | Organization | Duration | Total |
|---|---|---|---|---|
| Assistant Professor(SG) | Teaching | Dr.N.G.P Institute of Technology | Oct 2020 - Present | 5 Years 9 Months |
| Assistant Professor | Teaching | Bannari Amman Institute of Technology | Jul 2018 - Apr 2020 | 1 Year 10 Months |
| Assistant Professor | Teaching | SNS College of Technology | Jun 2013 - Nov 2017 | 4 Years 6 Months |
| Lecturer | Teaching | Nandha Engineering College | Jun 2006 - Apr 2011 | 4 Years 11 Months |
| Lecturer | Teaching | SSM College of Engineering | Jan 2006 - May 2006 | 5 Months |
Areas of Expertise
Artificial Intelligence
Machine Learning
Image Processing
Institutional Roles
IIC Ambassadar
Departmental Roles
Class Advisor
ADC Coordinator
Department academic calendar and micro calendar incharge
Journal Publications
- CR Rathish, K Karpagavadivu, P Sindhuja, A Kousalya “A hybrid efficient distributed clustering algorithm based intrusion detection system to enhance security in MANET” , Journal of Information Technology and Control, Vol:50, Issue:1, pp:45-54, 2021.
- Rathish Radhakrishnan, Karpagavadivu Karuppusamy, “Cost Effective Energy Efficient Scheme for Mobile Adhoc Network” Vol:19, Issue :1,2020.
- Ms P Saranya, V Praveena, Ms B Dhanalakshmi, Ms K Karpagavadivu, P Chinnasamy, “Diagnosis of gastric cancer using mask R–CNN and Grabcut segmentation method”, Journal of Positive school of Psychology.
- K Karpagavadivu, T Maragatham, S Karthik, “A survey of different software fault prediction using data mining techniques methods” International Journal of Advanced Research in Computer Engineering & Technology, Vol:1, Issue 8, 2012.
- Karpagavadivu Karuppusamy, Baranidharan Thangavelu, Kavitha Mettupalayam Subramaniam, Sumathi Thangavelu, “Deep Learning-Based Lesion-Aware Hybrid Attention Framework for Diabetic Retinopathy Classification”, International Journal of Computational Intelligence Systems, Vol:19, Issue: 1, Pages:33.
- Sathis Kumar, T Janani, K Karpagavadivu, A Raihana, M Meenalochini, “Effective Task Scheduling based on Candidate Optimization Algorithm (COA) in Heterogeneous NoC-Based MPSoC”, Fourth International Conference on Smart Technologies, Communication and Robotics (STCR), 2025.
- Karpagavadivu Karuppusamy, Baranidharan Thangavelu, Kavitha Mettupalayam Subramaniam, Sumathi Thangavelu, “DR-Cinque: diabetic retinopathy cinque classification via deep dual segmentation-based neural network”, International Journal of Diabetes in Developing Countries, 2026.
- Karuppusamy Karpagavadivu, Thangavelu Baranidharan, Mettupalayam Subramaniam Kavitha, Thangavelu Sumathi, “A Hybridized Multilevel Classifier with Improved GWO for Diagnosing Diabetic Retinopathy on Digital Fundus Images”, Journal of Traitement du Signal, 2026.
- P.Sindhuja A.Kousalya, K.Karpagavadivu, A.Devipriya, “Online Multiple Kernel Learning Approach for Healthcare Application in Green Cloud Computing”, Journal of Green Engineering, 2020.
- A Kousalya, K Karpagavadivu, “A Secure Privacy Preserving Three Layer Framework for cloud storage Based on Fog computing” Journal of Networking Technology Print ISSN: 0976-898X”2023.
- Ponnila P, Raihana A, Karpagavadivu K, Mervin George G, “An Amalgamated Probabilistic Structure for Unconstrained Facial Activity Utilizing Dynamic Bayesian Network”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-6, March 2020.
National/International Conferences
- K Karpagavadivu, Senthilkumar Sakthivel, M Ramya, Seeniappan Kaliappan, R Maranan “High-Resolution NLP for Social Healthcare Networks: Text Classification through Integration of Causal Dilated Cosine Architecture Optimized by Weighted Leadership Navigator for Advanced Insights”, International Conference on ICT in Business Industry & Government (ICTBIG), Dec 2024
- R Selvaraj, MS Geetha Devasena, T Satheesh, K Karpagavadivu, F Ravindaran, “Turmeric leaf disease detection using optimized deep learning model”, IET Conference Proceedings CP900 ,2024
- P Saranya, B Dhanalakshmi, V Praveena, K Karpagavadivu, A Kalaiarasi “ Retracted: Automated Inspection System of Underground Pipeline” International Conference on Computer Communication and Informatics (ICCCI), 2022.
- AS Subaira, T Primya, C Vinothini, K Karpagavadivu, S Saranya, C Ram Kumar, “Emerging techniques and algorithms used in soft computation”, Translating Healthcare Through Intelligent Computational Methods, 2023.
- K Karpagavadivu, E Divakar, P Kowsihash, G Sethusakthivel, “AI-Powered Rockfall Prediction for Open-Pit Mines”, IEEE International Conference on Communication Networks and Computing (CNC), 2025.
- K Karpagavadivu, CR Rathish, P Sindhuja, A Kousalya, “Detection of oral cancer lesions using hybrid classifier”, AIP Conference Proceedings, 2023.
- GM Hemathchandran, B Ragavi, K Karpagavadivu, “AI Based Early Detection and Diagnosis Model”, Artificial Intelligence in Detecting Autism, 2026.
Patents
Swipe to see more| Patent Title | Date | Reg. No. | Status | Level | Funding |
|---|---|---|---|---|---|
| DEEP LEARNING BASED DETECTION OF BREAST CNACER ON MAMMAGRAM IMAGES | 2025-03-28 | 202541023009A | Published | International | Self |
| NEW MATHEMETICAL APPROACH FOR INSTANT OTP GENERATION USING CHAOS THEORY FOR SECURE AUTHENTICATION | 2021/08/21 | 202111032734 A | Published | International | Self |
| REAL TIME MONITORING AND TRACKING OF MOTOR VEHICLES USING IOT | 2020-11-21 | 202011050686 | Published | International | Self |
Books Published
Swipe to see more| Book Title | Author(s) | Publication | Year / Month |
|---|---|---|---|
| Data Warehousing and Data Mining | Dr. C.R. Rathish, Dr. V. Praveena, K. Karpagavadivu, B. Dhanalakshmi | Charulatha Publications | December 2021 |
Invited Guest Lectures Delivered
Swipe to see more| Topic | Program | Venue | Date |
|---|---|---|---|
| Data Structures Concepts | Guest Lecture | United Institute ofTechnology | November, 2024 |