Dr. Syed Hamad Shirazi
Assistant Professor
Computer Science and Information Technology
Dr. Syed Hamad Shirazi is a distinguished Pakistani academic, researcher, and educator specializing in Artificial Intelligence, Machine Learning, Medical Image Processing, Computer Vision, and Information Retrieval. He currently serves as an Assistant Professor in the Department of Computer Science and Information Technology at Hazara University, Mansehra, Pakistan.
With over eighteen years of academic, research, and professional experience, Dr. Shirazi has made significant contributions to the fields of AI-driven healthcare, medical image analysis, and intelligent decision support systems. He earned his PhD in Computer Science from Hazara University, where his research focused on Machine Learning and Image Processing. He also holds an…
Academic Credentials
PhD Computer Science
Department of Computer Science & IT, Hazara University Mansehra Pakistan
2017
My Thesis title was: A novel method for scanning electron microscope image segmentation and its application to blood cell analysis
MS Computer Science
Department of Computer Science, COMSATS Islamabad Abbottabad Campus
2011
Thesis Title: SEM Image Enhancement and Quantification of Scanning Electron Microscopy Images
BS-IT (Hons)
IBMS/CS KPK Agricultural University Peshawar
2005
Research Interests
Machine Learning
Focused scholarly work and supervision in machine learning.
Medical Imaging
Focused scholarly work and supervision in medical imaging.
Information Retrieval
Focused scholarly work and supervision in information retrieval.
Research Publications
cervical nuclei segmentation through synergic conditional generative adversarial network in cervical smear images
Computational Biology and Chemistry, Vol. 122
Published: June 2026
Thyroid nodule segmentation in medical images via an improved UNet model
International Journal of Machine Learning and Cybernetics, Vol. 17, Issue 2
Published: February 2026
A Synergic Multi-Task Learning Framework for Joint Segmentation and Classification of Bullous Diseases in Medical Images
IEEE Access, Vol. 14
Published: January 2026
AI-Powered Online System for Anemia Detection Through Advanced RBC Image Analysis
Lecture Notes on Data Engineering and Communications Technologies
Published: January 2026
EAPDS: Efficient Auditable and Privacy-Preservation Data-Sharing Scheme Based on Attribute-Based Encryption for IoMT
IEEE Internet of Things Journal, Vol. 12, Issue 14
Published: July 2025
Techniques and challenges for nuclei segmentation in cervical smear images: a review
Artificial Intelligence Review, Vol. 58, Issue 10
Published: July 2025
EPRFL: An efficient privacy-preserving and robust federated learning scheme for fog computing
China Communications, Vol. 22, Issue 4
Published: April 2025
AneRBC dataset: a benchmark dataset for computer-aided anemia diagnosis using RBC images
Database, Vol. 2024
Published: February 2025
Teaching Courses
Machine Learning
Department Course
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Image Processing
Department Course
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Deep Learning
Department Course
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Database
Department Course
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Artificial Intelligence
Department Course
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Advance Neural Networks
Department Course
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Research Projects
Deep Learning Based Prediction Support System for Anaemic RBCs
Duration: 2023 - 2025
Funding: NRPU (HEC) - 2.5 Million
Completed a project as a PI on a funded project titled “Deep Learning Based Prediction Support System for Anaemic RBCs” we are working on AI-ML based system for blood microscopic image analysis in collaboration with Shaukat Khanum Cancer Hospital Lahore. Our end product will be a Disease Prediction Support System/Algorithm that assists as digital pathologist to automate anemia diagnostic process. This project is funded by Higher Education Commission of Pakistan (HEC) under NRPU program. Total worth of the project is 2.4 Million Rupees
Remote Sensing and Geospatial Analysis for Modeling and Predicting the Impacts of Climate Change on Glacier Water Resources and Crop Mapping in Pakistan
Duration: 2025 - 2027
Funding: 2.35 Million
Remote Sensing and Geospatial Analysis for Modeling and Predicting the Impacts of Climate Change on Glacier Water Resources and Crop Mapping in Pakistan, as of July 22, 2025. The project focuses on employing advanced geospatial tools and remote sensing to monitor glacier dynamics and agricultural transformations under the influence of climate change.