Computer Vision • AI/ML
Published Research
Advanced Face Recognition Attendance System (FRAS)
Researchers: Dr. Ayesha Heena & Mohsina Banu
An automated attendance management system leveraging Convolutional Neural Networks (CNNs) for real-time facial feature extraction, matching, and logging. Designed to eliminate manual record keeping while ensuring high security and operational reliability.
Reported Performance: 98.5% recognition accuracy with an average inference latency of 0.5 seconds.
Biomedical AI • Biosignals
Book Chapter Output
Analysis and Classification of Heart Abnormalities from ECG
Lead Researcher: Dr. Ayesha Heena
A biomedical signal processing framework for feature decomposition, noise filtration, and automated classification of cardiac arrhythmias from electrocardiogram (ECG) records. Published in Taylor & Francis CRC Press.
Domain: Healthcare Informatics & Clinical Decision Support
Trustworthy AI • Forensics
Active Investigation
DeepFake Detection & Digital Facial Forensics
Research Focus: Mohsina Banu & Trustworthy AI Stream
Investigating spatial and temporal artifacts generated by generative adversarial networks (GANs) and diffusion models in synthetic facial imagery. Developing forensic metrics to detect manipulated media and prevent identity spoofing.
Focus: Artifact identification, frequency domain analysis & model robustness.
Incubation Framework
Open for Proposals
Student & Member Research Incubation
Supervision: Dr. Ayesha Heena & Prof. Dr. Inam Ullah Khan
The club provides a structured incubation framework for student members to propose novel research questions within our five streams. Selected projects receive academic advisory support, computational access, and manuscript guidance.
Stages: Proposal → Empirical Experimentation → Paper Writing → Publication.
