Dr.S.Krishnakumar
Education Details

Publication details
Journal Publications
1. M. Karunakaran, J. Balusamy and K. Selvaraj, "Machine Learning Models based Mental Health Detection," 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India, 2022, pp. 835-842, doi: 10.1109/ICICICT54557.2022.9917622.
2. Sundarrajan, M., Choudhry, M. D., Biju, J., Krishnakumar, S., & Rajeshkumar, K. (2024). Enhancing low-light medical imaging through deep learning-based noise reduction techniques. Indian Journal of Science and Technology, 17(34), 3567-3579.
3. Krishnakumar, S., & Manivannan, K. (2023). Detection of meningioma tumor images using Modified Empirical Mode Decomposition (MEMD) and convolutional neural networks. Journal of Intelligent & Fuzzy Systems, 44(2), 1715-1726.
4. Kumar, T. D., Nanjappan, V., Gopal, D., & S. Krishnakumar. (2026). Dynamic Power‐Aware Routing and Flow Management for Scalable 3D Wireless Network‐on‐Chip Communication Systems. International Journal of Communication Systems, 39(4), e70427.
5. Santhosh, G. T., Krishnakumar, S., Chinnadurai, J., & Silambarasan, D. (2026). Quantum-Swarm Cognitive Routing Framework Using Neuro-Fuzzy Reinforced Meta Optimization for Ultra Reliable VANETs. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 1-28.
6. Pongalan, C. P. R. G. D., Jayaprakasham, V., Maddipati, S. S., & Selvaraj, K. (2025). Brain Tumor Detection Using Backpropagation Learning of Differential Features from CT Inputs. Traitement du Signal, 42(5).
7. Krishnakumar S,Satya Srinivas Maddipati K, Deepika Attavar, Karthikeyan S and Amaravathi D,Ashokkumar N.(2025).Identification and Delineation of Acquired Brain Anomalies Through Neural Network Classification Technique, the journal of supercomputing, 1450-1458(5)
Conferences
1. Enhanced Diabetes Diagnosis Using Ensemble Classifiers with Explainable Al and Oversampling for Imbalanced Data Chennaiah Kate; G. Deepika; Mandala Naga Sravya; Raveendranadh Bokka; S.Krishna Kumar Sangeetha Ganesan IEEE
2. Multi-Modal Sentiment Analysis for Product Reviews Incorporating Text and Image Data – Computational Systems & Information Technology for Sustainable Solutions - 2024, RV College of Engineering, Bengaluru (Scopus Indexed).
3. Presented a paper in national conference on Research Trends in Communication and Information Technology Sponsored by IETE entitled “Health Care System using IoT in Health Care Management” at SSM Institute of Engineering and Technology, Dindigul on 3rd March, 2017.
4. Presented a paper in the national conference on Research Trends in Communication and Information Technology Sponsored by IETE entitled “Blue Brain” at SSM Institute of Engineering and Technology, Dindigul on 3rd March, 2017.
5. Presented a paper in national conference on microwave & optical communication entitled “Performance Enhancement and Efficiency Evaluation for Large VANET Application based on RLSMP tool” at Alagappa Chettiar College of Engineering and Technology, Karaikudi
Awards and Achievements
Workshop on Virtual Reality & Augmented Reality 6th – 10th Dec 2024
• Workshop on Medical & Signal processing 16th – 20th Dec 2024, ₹20,000 Funding
• National Conference – NCUTE 19 (Coordinator)
• National Conference – UBIQUITOUS 18 (Coordinator)
Workshops / Seminars
Workshop on Virtual Reality & Augmented Reality 6th – 10th Dec 2024
• Workshop on Medical & Signal processing 16th – 20th Dec 2024, ₹20,000 Funding
• National Conference – NCUTE 19 (Coordinator)
• National Conference – UBIQUITOUS 18 (Coordinator)
Work Experience
Associate Professor at SRM institute of science and technology from 25-06-2025 to till date
Associate Professor at Sasi Institute of Technology & Engineering from 05-07-2024 to 24-06-2025
Assistant Professor at Theni Kammavar Sangam College of Technology from 01-06-2012 to 03-07-2024
Memberships
Life member International Association for Engineers: 182803
Member Wireless World Research Forum: F014(P)
Funded Projects
NIL
Ph.D. Supervision Details
NIL


