Dr. S.R Ashok kumar

• Artificial Intelligence for Biomedical Applications

• 4

International Conference Papers

• Ashokkumar, S.R., Elango, T., Karthick, M.G., Sowbharnika, P.G. and Surrya Bhaarathi, S.A., 2024, April. IoT and Blockchain Integration for Industrial Zone Monitoring. In 2024 International Conference on Science Technology Engineering and Management (ICSTEM) (pp. 1-6). IEEE.
• Akash, E., Ashokkumar, S.R., Banupriya, N., Thangam, K.S., Kumar, N.S. and Jananeshwaran, M., 2024, February. Hardware Implementations of Dehazing Algorithms. In 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1654-1661). IEEE.
• Ashokkumar, S.R., Thamaraimanalan, T., Dilip Kumar, S., Pavithra, R. and Sanmathipriya, G., 2023, November. A Security Sharing Scheme for Personal Data Based on Block-Chain with Fine-Grained Access Control. In 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) (pp. 1-7). IEEE.
• Ashokkumar, S.R., Boopathy, S., Gayathri, R.S. and Gautham, K., 2023, June. A Machine Learning Approach to Cryptosystem Security Detection. In 2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) (pp. 1-4). IEEE.
• Ashokkumar, S. R., Harihar, R., Subhashini, R., & Prasaath, N. (2022, December). A Literature Survey on Artificial Intelligence-Based Smart City Automation Using LoRa and IOT for Street Lights and Air Quality Check. In 2022 International Conference on Computer, Power and Communications (ICCPC) (pp. 149-152). IEEE.
• Ashokkumar, S. R., Premkumar, M., Dhilipkumar, P., Manikandan, P., Naveen, P., & Saravanan, M. (2022, October). Application of Multi-Domain Feature for Automated Seizure Detection from EEG Signal. In 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (pp. 280-285). IEEE.
• Ashokkumar S.R & MohanBabu G. “A Survey of Computer Aided Automatic Detection Techniques for Improving Classification Performance of Epilepsy Disease.” International Journal of Scientific Research and Review 7 (3), (2018), 250-258.
• Ashokkumar S.R, Kanna, M. A., GokulRaj, M., Shankar, T. A., Karthik, D. A., & Naveen, P. (2022, March). An Implementation of Coal Mining Safety and Alerting System Using Internet of Things. In 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 1810-1813). IEEE.
• Naveen, P., Saranesh, D., Vishnukanth, V. K., Sabarish, B., Vishnu, D., & Ashokkumar, S. R. (2022, March). Detection and Recognition of Species using Deep Convolution Neural Network. In 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 1830-1835). IEEE.
• Premkumar, M., Ashokkumar, S. R., Jeevanantham, V., Pallavi, S. A., Mohanbabu, G., & Raaj, R. S. (2022). Design of cost-effective real time tremor alerting system for patients of neurodegenerative diseases. Materials Today: Proceedings, 57, 1989-1994.
• Ashokkumar, S. R., Premkumar, M., Jeevanantham, V., & Anupallavi, S. (2021, November). Design of an EEG-based transceiver with data decomposition for IoHT applications. In 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (pp. 258-262). IEEE.
• Senthilkumar, N., Manimegalai, M., Karpakam, S., Ashokkumar, S. R., & Premkumar, M. (2022). Human action recognition based on spatial–temporal relational model and LSTM-CNN framework. Materials Today: Proceedings, 57, 2087-2091.

International Journal Papers

• Ashokkumar, S.R., Premkumar, M. and Sangeetha, R., 2025. Enhanced EEG signal classification through integrated DTCWT, human learning optimization, and optimized DBN-HMM models for improved performance. Biomedical Signal Processing and Control, 110, p.108229.
• Ibrahim Khalaf, O., Algburi, S., Ashokkumar, S.R., Selvaraj, D., Sharif, M.S. and Elmedany, W., 2024. Federated learning with hybrid differential privacy for secure and reliable cross‐IoT platform knowledge sharing. Security and Privacy, 7(3), p.e374.
• Jebril, I., Premkumar, M.A.U.A.G.M., Abdulsahib, G.M., Ashokkumar, S.R., Dhanasekaran, S., Khalaf, O.I. and Algburi, S., 2024. Deep Learning based DDoS Attack Detection in Internet of Things: An Optimized CNN-BiLSTM Architecture with Transfer Learning and Regularization Techniques. Infocommunications Journal, 16(1).
• Naveen, P., NithyaSai, S., Udayamoorthy, V. and Ashok kumar, S.R., 2024. Fault diagnosis in semiconductor manufacturing processes using a CNN-based generative adversarial network. Journal of Intelligent & Fuzzy Systems, 46(1), pp.1789-1800.
• Yuvaraja, T., Rajan Salem Jeyaseelan, W.G., Ashokkumar, S.R. and Premkumar, M., 2024. Detecting and Mitigating Low-Rate DoS and DDoS Attacks: Multimodal Fusion of Time-Frequency Analysis and Deep Learning model. Tehnički vjesnik, 31(2), pp.495-501.
• Raaj, R.S., Vijayprasath, S., Ashokkumar, S.R., Anupallavi, S. and Vijayarajan, S.M., 2024. Energy Management System of Luminosity Controlled Smart City Using IoT. EAI Endorsed Transactions on the Energy Web, 11(1).
• Ashokkumar, S. R., Premkumar, M., Anupallavi, S., Jeevanantham, V., Mohanbabu, G., & Selvapandian, A. (2023). Quantifying Functional Connectivity Network Through Synchronization and Graph Theory Approaches for Seizure Prediction. Wireless Personal Communications, 1-34.
• Premkumar, M., Ashokkumar, S. R., Jeevanantham, V., Mohanbabu, G., & AnuPallavi, S. (2023). Scalable and Energy Efficient Cluster Based Anomaly Detection Against Denial of Service Attacks in Wireless Sensor Networks. Wireless Personal Communications, 1-23.
• Ashokkumar, S. R., Anupallavi, S., MohanBabu, G., Premkumar, M., & Jeevanantham, V. (2022). Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals. International Journal of Imaging Systems and Technology, 32(1), 402-413.
• Ashokkumar, S. R., Anupallavi, S., Premkumar, M., & Jeevanantham, V. (2021). Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection. International Journal of Imaging Systems and Technology, 31(2), 895-908.
• Ashokkumar, S.R, and MohanBabu,G. "An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity.” Journal of Ambient Intelligence and Humanized Computing (2020): 1-11.
• Ashokkumar, S.R, and MohanBabu, G. “A novel two band equilateral wavelet filter bank method for an automated detection of seizure from EEG signals.” International Journal of Imaging Systems and Technology.
• Ashokkumar, S. R., & Mohan Babu, G. (2020). Extreme learning adaptive neuro-fuzzy inference system model for classifying the epilepsy using Q-Tuned wavelet transform. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-16.
• Ashokkumar S.R & MohanBabu G. “A KSOM based neural network model for classifying the epilepsy using adjustable analytic wavelet transform.” Multimedia Tools and Applications.
• Premkumar, M., Ashokkumar, S. R., Mohanbabu, G., Jeevanantham, V., & Jayakumar, S. (2022). Security behavior analysis in web of things smart environments using deep belief networks. International Journal of Intelligent Networks, 3, 181-187.
• Ashokkumar, S.R, and MohanBabu, G. “Characterizing Functional Connectivity Network Based on Multi-Domain Analysis for Epilepsy Classification.” International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-9 Issue-3, January 2020.

• ISTE

• 2