Dr. Nadia Saeed is an Assistant Professor in the Department of Computer Sciences at Quaid-i-Azam University, Islamabad. She holds a Ph.D. in Computer Science from the National University of Computer & Emerging Sciences (FAST-NUCES) and has over six years of research experience in Artificial Intelligence, Natural Language Processing (NLP), Machine Learning, and Biomedical Informatics.
Her research focuses on Large Language Models (LLMs), Clinical and Biomedical NLP, medical question answering, biomedical text summarization, diagnostic error detection, multimodal learning, and trustworthy AI for healthcare. Her work combines AI and NLP techniques to address challenging problems in healthcare, biomedical information processing, and clinical decision support.
Dr. Saeed has published in international journals and conference/workshop proceedings, including Knowledge and Information Systems, Frontiers in Molecular Biosciences, and the ClinicalNLP Workshop. She has also achieved competitive results in international shared tasks, including 2nd place in MEDIQA-CORR 2024, 12th place in PerAnsSumm 2025, and 13th place in MEDIQA-M3G 2024.
In addition to research, she is actively involved in undergraduate and graduate teaching, Final Year Project supervision, research mentoring, academic assessment, and interdisciplinary AI research.
PhD in Computer Science
National University of Computer & Emerging Sciences (FAST-NUCES) , Pakistan
Graduated: 2023MediFact at PerAnsSumm 2025: Leveraging lightweight models for perspective-specific summarization of clinical Q&A forums
Workshop 2025 DOI: 10.18653/v1/2025.cl4health-1.29
MedTSS: Transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcement
Journal 2024 DOI: https://doi.org/10.1007/s10115-023-02055-6
MediFact at MEDIQA-CORR 2024: Why AI needs a human touch
Workshop 2024 DOI: 10.18653/v1/2024.clinicalnlp-1.32
MediFact at MEDIQA-M3G 2024: Medical question answering in dermatology with multimodal learning
Workshop 2024 DOI: 10.18653/v1/2024.clinicalnlp-1.31
Medical terminology-based computing system: A lightweight post-processing solution for out-of-vocabulary multi-word terms
Journal 2022 DOI: https://doi.org/10.3389/fmolb.2022.928530
Anique Azhar
BS - Under Supervision
Multimodal Medical Question Answering: Vision-Language Models and Large Language Models for Multilingual Dermatology Question Answering
Danish Riaz
BS - Under Supervision
OBE-Vision AI: Intelligent Academic Analytics and Generative Insight System for CLO-PLO Attainment and Accreditation Support
Haider Ali Khan
BS - Under Supervision
SeasonalNet AI: Intelligent Economic Opportunity and Skill Transition Platform for Seasonal Workers and Poverty Mitigation
Haleema Sadia
BS - Under Supervision
SmartAcad: Lightweight AI-Enabled Student Progress Monitoring and Early Warning System
Huzaifa Haidar Khan
BS - Under Supervision
GeneCRISPR AI: AI-Assisted Genomic Analysis and CRISPR Guide RNA Recommendation with Off-Target Prediction for Precision Medicine
Masooma Muhammadi
BS - Under Supervision
NDMA-Vision AI: Intelligent Multi-Source Disaster Risk Assessment and Real-Time Climate Analytics Portal
Mehdi Ahrari
BS - Under Supervision
Medical Terminology-Based Computing System: Biomedical NLP for Medical Terminology Normalization and Out-of-Vocabulary Concept Handling
Yamaan Bangash
BS - Under Supervision
LiveCareLens AI: Real-Time Perspective-Aware Semantic Analysis and Summarization of Public Healthcare Interactions