The Women in AI Research, Innovation & Entrepreneurship is organized into five official research teams. Each team provides a dedicated space for collaborative literature reviews, experimental coding, benchmarking, and publishing.
Faculty coordinators, distinguished advisors, and student executives guiding our research programs.
Postdoctoral Researcher at AIEYS; Faculty Member in AI & ML, Sharnbasva University. Mentoring research and academic development.
Senior Member of IEEE; Postdoctoral Fellow (Multimedia University, Malaysia); Professor (Lincoln University College). Advising on research strategy and ethics.
AIML graduate and researcher in computer vision and facial recognition. Coordinating student leadership, research teams, and club development.
Supporting club leadership, community operations, academic events, and technical workshop coordination.
These are the official research teams of the Club. Each team is led by a designated Team Lead responsible for group coordination and research progression.
Machine learning algorithms, deep learning models, training optimizations, experimentation, and empirical methodology development.
Artificial intelligence applications in biomedical informatics, physiological biosignal processing (ECG, EEG), and clinical medical imaging.
Interpretability frameworks, feature attribution, surrogate explanations, and methods for understanding and communicating complex AI decisions.
Reliability, robustness against distribution shifts, uncertainty quantification, fairness, transparency, and responsible AI deployment.
Systematic literature reviews, experimental benchmarking, baseline comparisons, technical documentation, and preparation of manuscripts for peer-reviewed conferences and journals.
Connect with team leads and peers in your research track. Conduct experiments, write papers, and build solutions together.
