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Faculty Member Details

Staff Id : 08167
Name : Dr. C. SENTHILKUMAR
Designation : ASSISTANT PROFESSOR/PROGRAMMER
Department : Computer and Information Science
Qualification : M.Sc.(Comp.Sci),M.Phil.,Ph,D.,
Specialization : Digital Image Processing, OOPs, RDBMS, Computer Graphics, IOT, Cloud Computing, Data Mining
Date of Birth : 15-07-1977
Date of Joining : 06-07-2002

Present Address Contact Number E-Mail Address
20, SRI SATHIYA SAI NAGAR
REDDIARPALAYAM
PUDUCHERRY, 605010		9443535889csenthilkumar77@gmail.com

Research Guidance
Discipline Awarded Guidance
M.Phil./M.E./M.Sc. 24-
Ph.D. 12


Conference /Seminar / Symposia / Workshop
Conference Seminar Symposia Workshop
National International
Attended 19--4
Conducted -----


Research Projects
Major Projects Minor Projects Total Amount (Rs.)
Completed ---
Ongoing ---

Teaching and Research Experience Industry Experience
23 Years -

Journals Conference Books Published Popular Article
National International National International
- 13 1 8 - -

List of Publications - International
T.Rajalakshmi, Dr. C.Senthilkumar , "A Robust Deep Learning Model for WBC Classification using Capsule Net and Stacked Sparse Auto Encoder coupled with Mayfly Optimization.", International Journal of Intelligent Systems and Applications in Engineering, Volume 11, Number 3, Jul 2023, pp. 795-809. 2023/ https://ijisae.org/index.php/IJISAE/article/view/3286.
T.Rajalakshmi, Dr. C.Senthilkumar , "Red Deer Optimization with Deep Learning based Robust White Blood Cell Detection and Classification Model.", International Journal on Recent and Innovation Trends in Computing and Communication, Volume 11, Number 8, Sep 2023, pp. 107-124. 2023/https://doi.org/10.17762/ijritcc.v11i8.7929.
T.Rajalakshmi, Dr. C.Senthilkumar , "An Efficient Deep Learning Hybrid Model for Improving the Classification Accuracy of Blood Cell Images.", Tuijin Jishu/Journal of Propulsion Technology, Volume 11, Number 5, Dec 2023, pp. 2203-2222. 2023/https://doi.org/10.52783/tjjpt.v44.i5.2929..
D.Jayaraj, C.senthilkumar, M.Nagarajan, "Lung cancer prediction and retrieval using multistage hybrid prediction approach.", International Journal of Health Science, Volume 6 , Number 8484, Jun 2022, pp. 13161-13179. 2022 / https://doi.org/10.53730/ijhs.8484.
B.Pushpa, Narmatha Venugopal, P.Anandababu, C.Senthilkumar, "Internet of Things with Deep Learning Enabled Fraud Detection in Surveillance Video Processing.", International Journal of Science and Technology, Volume 15(36), Number 36, Sep 2022, pp. 1769-1778. 2022/ DOI:10.17485/IJST/v15i36.550.
T.Rajalakshmi, Dr. C.Senthilkumar , "Automated Leukemia Cancer Cells Detection from Microscopic Images with Machine Learning Techniques.", Neuro Quantology, Volume 20, No. 7,, Number 7, Jul 2022, pp. 4507-4520. 2022 / DOI: 10.48047/nq.2022.20.7. NQ33539.
T.Rajalakshmi, Dr. C.Senthilkumar , "An Extensive Review of White Blood Cells Detection and Classification from Blood Smear Images.", European Chemical Bulletin, Volume 11, Number 10, Nov 2022, pp. 543-556. 2022 / DOI: 10.53555/ecb/2022.11.10.60.
Mr. C.Senthilkumar, Dr. M.Kamarasan, "HYBRID FEATURE EXTRACTION WITH SUPPORT VECTOR MACHINE FOR CITRUS DISEASE DETECTION AND CLASSIFICATION MODEL.", The International Journal of Analytical and Experimental Analysis (IJAEMA}, Volume 9, Number 2, Feb 2020, pp. 2136-2149. 2020.
Mr. C.Senthilkumar, Dr. M.Kamarasan, "A NOVEL CITRUS DISEASE DETECTION AND CLASSIFICATION USING DEEP LEARNING BASED INCEPTION RESNET V2 MODEL.", ADALYA JOURNAL, Volume 9, Number 2, Feb 2020, pp. 1008-1034. 2020.
Mr. C.Senthilkumar, Dr. M.Kamarasan, "An Effective Classification of Citrus Fruits Diseases using Adaptive Gamma Correction with Deep Learning Model.", International Journal of Engineering and Advanced Technology (IJEAT), Volume 9, Number 2, Dec 2019, pp. 2618-2629. 2019.
Mr. C.Senthilkumar, Dr. M.Kamarasan, "A Survey On Leaf Disease Detection Using Image Processing Techniques.", Journal of Emerging Technologies and Innovative Research (JETIR), Volume 5, Number 7, Jul 2018, pp. 889-900. 2018.
Mr. C.Senthilkumar, Dr. M.Kamarasan, "Image Segmentation Using Weighted Chan-Vese for Accurate Leaf Disease Prediction and Extraction.", Journal of Current Science, Volume 19, Number 7, Jul 2018, pp. 1-10. 2018.
Mr. P. Anandababu, Mr. C.Senthilkumar, "Gradient Magnitude (GM) Based Quality Measures In Image Quality Assessment.", Journal of Current Science, Volume 19, Number 7, Jul 2018, pp. 1-8. 2018.
List of Conferences - National
T.Rajalakshmi, Dr. C.Senthilkumar , Machine Learning Technique with Salient Feature Extraction Method for Detecting Acute Lymphoblastic Leukemia, National Conference on The Role of Computational Intelligence in Emerging Research Innovation, Mar 11-11, 2023, Annamalai University, Chidambaram, pp. 1-1. IQAC, IQAC.
List of Conferences - International
Shanmugham M Dr. C. Senthilkumar, Blockchain-Based Decentralized Healthcare Data Management System with Zero Knowledge Proof Ring Signature for Secure, Tamper-Proof, and Privacy-Preserving Storage,, International Conference on Emerging Technologies in Engineering Applications (ICETEA), Jun 5-6, 2025, Pondicherry, pp. 1-6. Puducherry, IEEE.
Maleappane Lawrence Vanangamoudiar Dr. C. Senthilkumar, Big Data-Driven Intelligent Healthcare Analytics Platform for Predicting Patient Outcomes and Personalized Treatment Using Deep Recurrent Convolutional Neural Network, International Conference on Emerging Technologies in Engineering Applications (ICETEA), Jun 5-6, 2025, Pondicherry, pp. 1-7. Puducherry, IEEE.
T.Rajalakshmi, Dr. C.Senthilkumar , Feature Selection based Classification of Blood Cells using Machine Learning Models, 3rd International Conference on Ubiquitous Computing and Intelligent Information Systems ICUIS 2023 , Sep 1-2, 2023, Shree Venkateshwara Hi-Tech Engineering College, Gobichettipalayam, Erode, pp. 291-298. IEEE, IEEE.
T.Rajalakshmi, C.senthilkumar , Classification of WBC based on Deep Learning using Microscopic Images, International Conference on Automation, Computing and Renewable Systems, Dec 13-15, 2022, Mount Zion College of Engineering and Technology, Pudukkottai, pp. 1194-1201. IEEE, IEEE.
T.Rajalakshmi, C.senthilkumar , Technical Review for Blood Cell Classification and Computing from Microscopic Images with Computer Vision, International Conference on Comprehensive Aspects of Cognitive Systems , May 10-10, 2022, Coimbatore, pp. 10-14. -, -.
Mr. C.Senthilkumar, Dr. M.Kamarasan,, An Optimal Weighted Segmentation with Hough Transform based Feature Extraction and Classification Model for Citrus Disease Detection and Classification , 5th International Conference on Inventive Computation Technologies (ICICT 2020), Feb 26-28, 2020, RVS Technical Campus, Dept. of CSE, Coimbatore, India, pp. 278-283. IEEE, IEEE.
Mr. C.Senthilkumar, Dr.M.Kamarasan,, An Effective Kapur's Segmentation based Detection and Classification Model for Citrus Diseases Diagnosis System, 2nd International Conference on Computer Networks,Big Data and IoT (ICCBI 2019), Dec 19-20, 2019, Vaigai College of Engineering, Madurai, India, pp. 233-240. Springer, Springer.
C.Senthilkumar, Dr.M.Kamarasan,, Optimal Segmentation with Back-Propagation Neural Network (BPNN) Based Citrus Leaf Disease Diagnosis, 2nd International Conference on Smart Systems and Inventive Technology (ICSSIT 2019), Nov 27-29, 2019, Francis Xavier Engineering College,Tirunelveli, India, pp. 80-84. IEEE, IEEE.