Dr. Shilpa Sardesai, Teaching Associate at SICSR, published a research paper at an IEEE Conference titled “Hybrid EEG Signal Processing Framework for Driver Drowsiness Detection Using QWT, EMD, and Bayesian Optimized SVM” on April 24th, 2025. The paper presents a novel hybrid framework combining advanced signal processing techniques and machine learning to enhance accuracy in detecting driver drowsiness. This publication reflects Dr. Sardesai’s contribution to cutting-edge research in the intersection of biomedical engineering and artificial intelligence.
Dr. Shilpa Sardesai: Published Research on EEG-Based Drowsiness Detection at IEEE Conference
