Projects per year
Personal profile
Biography
Dr. Nauman Gilal is a Research Associate in the Arabic Language Technologies group at Qatar Computing Research Institute (QCRI). He received his PhD in 2024 from Hamad Bin Khalifa University, Doha, Qatar, in at topic computer vision with a focus on learning from noisy labels and imbalanced data. His doctoral research applied interdisciplinary knowledge to real-world problems across diverse domains, including food computing, and medical imaging (skin cancer and pathology).
At QCRI, he engages in developing AI-powered tools for pathology diagnostics and education, using large multimodal models (MLLMs) to analyze Whole Slide Images (WSIs). His work includes benchmarking and fine-tuning vision language models for healthcare applications and building web-based platforms for real-time image analysis and query capabilities.
His research interests focus on multimodal deep learning, medical imaging, and AI-driven tools aimed at advancing healthcare diagnostics and education.
Education/Academic qualification
Computer Science and Engineering, PhD, Hamad Bin Khalifa University
25 Aug 2020 → 15 May 2024
Award Date: 15 May 2024
Information and Communication Engineering, Master, Harbin Institute of Technology
1 Sept 2018 → 15 Jun 2020
Award Date: 15 Jun 2020
Computer Science, Bachelor, University of Sindh
1 Jan 2012 → 31 Dec 2015
Award Date: 31 Dec 2015
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HBKU-OVPR-TG-03-12: Interactive Multimodal AI for High-precision Medical Diagnosis
Hawasly, M. (Principal Investigator), Gilal, N. U. I. (Principal Investigator), Lu, Z. (Lead Principal Investigator) & Ozer, E. (Principal Investigator)
1/11/25 → 31/10/27
Project: Applied Research
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HBKU-OVPR-TG-Cycle-2-19: Large-Scale Human-in-the-Loop Histopathology Dataset Creation and AI Models for Clinical Pediatrics Applications
Agus, M. (Principal Investigator), Architect, N. S. D. L. (Principal Investigator), Mifsud, W. (Principal Investigator), Schneider, J. (Lead Principal Investigator) & Gilal, N. U. I. (Post Doctoral Fellow)
1/06/23 → 30/11/25
Project: Applied Research
Research output
- 3 Article
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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network
Manzoor, K., Gilal, N. U., Agus, M. & Schneider, J., 13 Jul 2025, In: Digital Health. 11, 20552076251351858.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
PathVLM-Eval: Evaluation of open vision language models in histopathology
Gilal, N. U., Zegour, R., Al-Thelaya, K., Özer, E., Agus, M., Schneider, J. & Boughorbel, S., 5 Jun 2025, In: Journal of Pathology Informatics. 18, 100455.Research output: Contribution to journal › Article › peer-review
Open Access -
Robust object counting through distribution uncertainty matching and optimal transport
Boughorbel, S., Jarray, F., Zegour, R., Gilal, N. U., Thelaya, K. A., Agus, M. & Schneider, J., 19 Aug 2025, In: Scientific Reports. 15, 1, 13 p., 30315.Research output: Contribution to journal › Article › peer-review
Open Access