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Name - Vishal Sharad Thakare (22ENG7CSE0014)

Branch - Computer Science & Engineering

Faculty - Faculty of Engineering & Technology

Date of Registration - 2nd December 2022

Supervisor - Dr. Rekha Ranawat, Associate Professor.

Date of Ph.D. Viva - 26th February 2026 (Thursday)

Title - Design a Multi-modal Deep Learning Framework for Fusion Based Epileptic Seizure Detection


[1] V. Thakare and R. Ranawat, "Machine Learning Techniques in Epileptic Seizure Detection: A Comprehensive Review," Proceedings of 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, doi: 10.1109/ICCCNT61001.2024.10724979

[2] V. Thakare and R. Ranawat, “Multimodality Deep Learning Fusion Based Epileptic Seizure Detection,” International Journal of Intelligent Engineering and Systems, vol. 18, no. 2, pp. 679–691, Mar. 2025, doi: 10.22266/ijies2025.0331.49.

[3] V. Thakare and R. Ranawat, “Multimodal Attention Guided Optimized Temporal Network for Epileptic Seizure Detection,” International Journal of Intelligent Engineering and Systems, vol. 18, no. 10, pp. 561–573, Oct. 2025, doi: 10.22266/ijies2025.1130.36

[4] V. Thakare and R. Ranawat “Multi-Modal Deep Learning Device for Epileptic Seizure Detection”, Design Patent, No: 454268-001, Date: 04/04/2025.