Selected as PhD Mentor for the SIDDHI (Summer Internship for Data-Driven Healthcare Innovations) program to contribute to funded healthcare AI research initiatives and to mentor undergraduate researchers.
SIDDHI 4.0 (Dec 2025– Feb 2026): AI-powered platform for accessible neurodegenerative disease diagnosis using MRI(03 students).
SIDDHI 3.0 (Apr 2025– Jul 2025): Early detection and multiclass classification of Alzheimer’s disease using EEG data (03 students).
SIDDHI 2.0 (Aug–Sep & Oct–Nov 2024): Data-driven EEG analysis for neurological disorders (02 students).
SIDDHI 1.0 (May– Jul 2024): EEG-based Alzheimer’s disease detection (05 students).
Key Role: In research design and implementation, including EEG and MRI data preprocessing, feature engineering, development of ML/DL models, performance evaluation, and mentoring students.
Research Outcomes: 03 patents (01 published, 01 filed, 01 under preparation) and 02 research papers (EEG-based study submitted; MRI-based study under development)