Semester

Key Activities

Milestones

Semester 1 (Completed)

PhD coursework & academic requirements

Coursework completed

Semester 2 (Completed)

Literature review, review paper, research gap identification, synopsis preparation

Research gaps finalized; thesis direction established

Semester 3

Dataset identification, acquisition, preprocessing workflow setup, initial framework design

Baseline framework designed; datasets shortlisted

Semester 4

Development of multimodal models; early/intermediate/late/adaptive fusion implementation

Functional prototype; fusion strategies integrated

Semester 5

Model training, experimentation, evaluation, optimization; explainability integration

Validated model with XAI (Grad-CAM, SHAP)

Semester 6

Thesis writing, refinement, plagiarism check, submission; seminar & defense preparation

Final thesis submitted; viva readiness

WorkplanSlide