Dr. C. Vinothkumar
B.E., M.E., Ph.D
Associate Professor
Department of Electronics and Communication Engineering
Extn : 503
Dr. C. Vinoth Kumar is an Associate Professor in the Department of Electronics and Communication Engineering with over 23 years of teaching experience. He obtained his B.E. in Electronics and Communication Engineering from the University of Madras and his M.E. in Medical Electronics from the College of Engineering, Anna University, Chennai. He earned his Ph.D. from Anna University, Chennai. He has published more than 60 research papers in reputed international journals and conferences. He has guided over 50 undergraduate and postgraduate projects and has been honored with the Best Teacher Award twice. He is a member of IEEE and a life member of IETE and ISTE. He has actively organized and participated in numerous workshops, conferences, and seminars, and is a certified ISO 9001:2015 Auditor. His research interests include signal processing, image processing, and security issues in image processing.
| 1 | Title | Asthmatic wheeze detection through mobile application |
| Funding Agency | SSN Trust | |
| Status | Ongoing | |
| Role | Supervisor | |
| 2 | Title | A Single Camera approach to Monitor the Breathing Pattern and Respiratory Rate using Image Processing Techniques |
| Funding Agency | SSN Trust | |
| Status | Ongoing | |
| Role | Principal Investigator | |
| 3 | Title | Monitoring and Identification of Region-Growing Microalgae Biomass Quantification using Digital Image Processing |
| Funding Agency | SSN Trust | |
| Status | Completed | |
| Role | Supervisor | |
| 4 | Title | Noise transformation to electricity using electromagnetic induction |
| Funding Agency | SSN Trust | |
| Status | Completed | |
| Role | Supervisor |
- Sarala, A., Vinoth kumar, C. A cutting-edge ensemble model for enhanced underwater image restoration and quality improvement. Sci Rep 15, 30480 (2025).
- Nirmala K, Venkateswaran N, Vinoth kumar C, “3D Visualization and depth analysis of lung nodule from CT Imagess” Journal of University of Shanghai for Science and Technology, Volume 26, Issue 10, pp 8-16, Oct 2024 (Q4)
- Najmus Sehar, Nirmala Krishnamoorthi, C. Vinoth Kumar, “Deep Learning Model-Based Detection of Anemia from Conjunctiva Images” Healthcare Informatics Research 2025; 31(1): 57-65.
- Kesava Reddy Jangam, R. Kumudham, V. Rajendran, C. Vinoth Kumar, “A Comprehensive Analysis of the Security of ML Integrated CPS as Autonomous Vehicles”, CLEI Electronic Journal, Volume 8, Issue 2, pp 1-17, April 2025.
- Jawahar A, Kaythry P, Vinoth Kumar C, Vinu R, Amrish R, Bavapriyan K & Gopinaath V, “DDoS mitigation using blockchain and machine learning techniques”, Multimedia Tools and Applications, Jan 2024.
- Nirmala, K., Vinoth Kumar, C., Janani, M., Parvathi, A. R., & Radhika, B. (2023). Camera-based Non-contact Respiratory Rate Estimation. IETE Journal of Research, Vol.70, no.5, pp.5311-5320.
- Sarala A and Vinoth Kumar C, “Unlocking the Past: Decoding Historic Inscriptions with the Power of Convolutional Recurrent Neural Networks” IEEE International Conference AIMLA 2024, KSR College of Technology, Tamil Nadu, India, March 2024.
- Balambal S, Dhivya S, Daphnie Ritika R, and Vinoth Kumar C, “Feature Fusion Based Face Image Retrieval”, Eighth National Conference on Information and Communication Technologies (NCICT 2023), March 17, 2023.
- Ramya V, Narendiran V, Vishali R, Vinoth Kumar C, and Jawahar A, “Non-invasive Monitoring of Breathing Patterns from the Neck-Pit Region”, Eighth National Conference on Information and Communication Technologies (NCICT 2023), March 17, 2023.
- Nirmala Krishnamoorthi and Vinoth Kumar Chinnababu, “Hash and Prediction-Error-Based Reversible Watermarking for Medical Images”, Fluctuation and Noise Letters, Vol. 21, No. 1 (2022) 2250007-28, August, 2021.
- R. Amrish, K. Bavapriyan, V. Gopinaath, A. Jawahar, C. Vinoth Kumar, “DDoS Detection using Machine Learning Techniques”, Journal of IoT in Social, Mobile, Analytics, and Cloud, Vol. 4, No. 1, pp. 24-32, March 2022.
- Vinoth Kumar C and Nirmala K, “Markov Random Field based Compression of Encrypted Medical Images”, Third International Conference on Communication and Intelligent Systems, Organized by National Institute of Technology, Delhi, during December 18-19, 2021.
- Dharshini V, Saranya S, Sethuraman VK, Jawahar A and Vinoth Kumar C, "Energy Efficient Street Lighting System" in the 10th International Conference on Contemporary Engineering and Technology 2022 (ICCET), on May 21, 2022.
- Amrish R, Bavapriyan K, Gopinaath V, Jawahar A, Vinoth Kumar C, presented a paper titled, "DDoS Detection Using Machine Learning Techniques" in the International Virtual Conference on Artificial Intelligence, 5G Communications and Network Technologies (ICA5NT 2022) on April 28, 2022.
- Pavatharani G, Vinoth Kumar C and Jawahar A, “Cell Tracking in Microscopic Images using Dynamic Memory Network”, Fourth International Conference On Emerging Trends in Science, Engineering & Technology (ICETSET 2022), held at Jerusalem Engineering College, Chennai, during July 7-8, 2022.
- Sathyapriya Loganathan, Jawahar Arumugam and Vinothkumar Chinnababu, “An energy-efficient clustering algorithm with self-diagnosis data fault detection and prediction for wireless sensor networks”, Concurrency and Computation: Practice and Experience, Wiley, April 2021
- S. Joseph Gladwin and C. Vinoth Kumar, “Read Textual features in Images and convert to Editable form by extended use of Artificial Neural Networks, Deep learning and Maximally Stable Extremal Region techniques”, International Conference on Advances in Smart sensor, signal processing and communication technology (ICASSCT-2021), organized by Department of Electronics, Goa University, Goa, during 19-20, March, 2021.
- Ashlin Rushmi C A and Vinoth Kumar C, “Analysis of Reversible Water Marking Techniques and Asymmetric Cryptosystem using DIEC”, International Conference on Advancements and Recent Trends on Electronics and Communicaton, Organized by Dept of ECE, Meenakshi Sundararajan Engineering College, 11th June 2021, pp. 72-79.
- Nirmala Krishnamoorthi, Vinoth Kumar Chinnababu, “Hybrid feature vector based detection of Glaucoma”, Multimedia Tools and Applications, Vol. 78, No.24, pp. 34247-34276, Dec 2019.
- S. Annie Samlin, C. Vinoth Kumar and S. Joseph Gladwin, “Secured Reversible Data Hiding using Histogram Shifting Method”, Proceedings of the 2nd International Conference on recent trends in Engineering and Scientific Technology (ICTEST20), March 2020, Coimbatore, India
- Vinoth Kumar, C., Natarajan, V., Nirmala, K., Balasubramanian, T., Ramnarayanan Rao, K., Krishnan, S., "Encrypted separable reversible watermarking with authentication and error correction", Multimedia Tools and Applications, Vol. 78, No. 6, pp. 7005-7027, March 2019.
- Keerthika N, Vinoth Kumar C and Joseph Gladwin G, “Secured Hybrid Prediction Based Reversible Watermarking for Medical Images”, IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking 2019, March 2019.
- Sukanya S, Joseph Gladwin S and Vinoth Kumar, “A Tool for Extracting Text from Scanned Documents and Convert it into Editable format”, IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking 2019, March 2019.
- Vinoth Kumar C, Gopinath K.P, Akshay Kumar C, Alaguraj A, Gunupati Sumadhura and Harini S, “Monitoring and Identification of Region-Growing Microalgae Biomass Quantification using Digital Image Processing”, 5th National Conference on Information and Communication Technologies (NCICT - 2019), pp. 203 – 208, April 1 & 2, 2019
- Nirmala K, Venkateswaran N, and Vinoth Kumar C, “HoG Based Naive Bayes Classifier for Glaucoma Detection”, IEEE Region 10 Conference (TENCON 2017), pp. 2331-2336, Nov 5-8, 2017.
- Vinoth Kumar C and Natarajan V, “Hybrid local prediction error-based difference expansion reversible watermarking for medical images”, Computers and Electrical Engineering, Vol. 53, pp. 333-345, July 2016.
- K. Nirmala, N. Venkateswaran, and C. Vinoth Kumar, “Kernel SVM Classifier for Detection of Glaucoma Using LBP Based Fractal Features”, Asian Journal of Information Technology, Vol. 15, no. 15, pp. 2702 – 2708, October 2016.
- Balasubramanian T, Krishnan S, Mohanakrishnan M, Ramnarayan Rao K, Vinoth Kumar C and Nirmala K, “HOG Feature based SVM Classification of Glaucomatous Fundus Image with Extraction of Blood Vessels”, 13th International IEEE India Conference Indicon 2016, Dec 16-18, 2016, pp. 1072-1075.
- Nirmala K, Venkateswaran N, Vinoth Kumar C and Shiny Christobel J, “Glaucoma Detection using Wavelet based Contourlet Transform”, International Conference on Engineering and Technology (IECT-2016), Dec 16-17, 2016, pp. 77-81.
- C. Vinoth Kumar, Dr. V. Natarajan and P. Poonguzhuli, “Secured Patient Information Transmission using Reversible Watermarking and DNA Encryption for Medical Images”, International Conference on Mathematics and its Applications (ICMAA - 2014), pp.1702 - 1715, December 15-17, 2014.