Research Interests
I am preparing for graduate research at the intersection of applied machine learning, computer vision, health informatics, and AI systems for education. I am especially interested in building models and tools that are evaluated carefully, communicate uncertainty clearly, and can be used responsibly in real-world contexts.
IoT-Enabled UAV Prototype for Zone-Level Detection and Automated Targeted Spraying of Cotton Leaf Curl Disease
Agronomy Journal
Focus: proposes a low-cost IoT-enabled prototype that integrates UAV-based imaging,disease classification and arduio based acutation for zone level detection & targeted spraying
An AI-Powered Culturally Aware Chatbot for Stress Detection and Wellness Support among Pakistani University Students Using NLP and Machine Learning
[View PDF- ArXiv]Focus:This paper introduces a new, AI-driven and culturally sensitive stress detection and wellness support system that is tailored to the context of Pakistani university students.
An Ensemble Learning Framework for Neonatal Asphyxia Prediction Using Perinatal Features
Focus: developing a machine learning framework for neonatal risk prediction using perinatal features, with attention to cross-validation, feature reliability, metric stability, and overfitting control.
Research Preparation
- Experience building AI systems from data flow to user-facing interface.
- Interest in reproducible evaluation, clinical relevance, and responsible deployment.
- Comfort reading technical literature and converting ideas into working prototypes.