Dr. Syed Hamad Shirazi
Biography

Dr. Syed Hamad Shirazi is an accomplished academic and researcher in the field of Computer Science, with a specialization in Medical Image Processing, Artificial Intelligence (AI), and Machine Learning. He holds a Ph.D. in Computer Science from Hazara University, where his doctoral work focused on the development of intelligent systems for medical image analysis. Dr. Shirazi began his academic career as a Lecturer in Computer Science with the Higher Education Department in 2008, where he served for a decade and received the Best Teacher Award from the Government of Khyber Pakhtunkhwa. In 2018, he joined Hazara University as an Assistant Professor, where he currently serves as the Graduate Coordinator and BS-AI Program Coordinator in the Department of Computer Science. He has published over 50 research articles, with more than 30 in W category journals, and contributed to two book chapters. His research focuses on the application of deep learning and machine learning techniques to medical diagnosis, including blood cell classification, cervical nuclei segmentation, eczema image analysis, and Meibomian Gland Dysfunction quantification. Notably, he is the Principal Investigator of the NRPU-funded project titled Disease Prediction Support System for Anaemic RBCs, in collaboration with Shaukat Khanum Memorial Cancer Hospital & Research Centre. Currently he is working as PI on a funded project titled" Remote Sensing and Geospatial Analysis for Modeling and Predicting the Impacts of Climate Change on Glacier Water Resources and Crop Mapping in Pakistan” The study proposes a hybrid model that combines Temporal Convolutional Networks (TCNs) with optical flow estimation for accurate crop mapping. 2.34 million Rupees. (In progress). Dr. Shirazi’s collaborative research extends to ciphertext classification, Urdu OCR and speech recognition, and image enhancement for SEM images, with contributions published in Q1 journals such as PLOS ONE, Computers in Biology and Medicine, BMJ Open, Neural Computing, and Neurocomputing. He is also currently supervising 5 Ph.D. and 5 MS scholars, in addition to having successfully supervised 15 MS and 2 Ph.D. students. His future research aims to continue enhancing AI-driven solutions for early disease detection, supporting non-invasive, intelligent diagnostics, and contributing meaningfully to AI literacy and education in both academia and society.

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Academic Background

S.No	Degree Title	Institute	Degree Completion Year
1	PhD (CS)	Hazara University Mansehra KPK Pakistan	2017
2	MS (CS)	COMSATS University Islamabad (Abbottabad Campus)	2011
3	BS (IT)	IBMS/CS NWFP Agricultural University Peshawar	2005
4	FSc	BISE Abbottabad	2001
5	SSC	Federal Board Islamabad	1998

Publications

S.No	Publication Title	Authors	Action
1	EPRFL: An efficient privacy-preserving and robust federated learning scheme for fog computing	Ke Zhijie; Xie Yong; Syed Hamad Shirazi; Li Haifeng	Click to View
2	EAPDS: Efficient Auditable and Privacy-preservation Data Sharing Scheme Based on Attribute-Based Encryption for IoMT	Hui Wang, Yong Xie, Min Luo, Yining Liu, Syed Hamad Shirazi	Click to View
3	Deep Neural Networks for Enhanced Security: Detecting Metamorphic Malware in IoT Devices	Faiza Habib, Syed Hamad Shirazi, Khursheed Aurangzeb, Asfandyar Khan, Bharat Bhushan, Musaed Alhussein	Click to View
4	A framework for segmentation and classification of blood cells using generative adversarial networks	Zakir Khan, Syed Hamad Shirazi, Muhammad Shahzad, Arslan Munir, Assad Rasheed, Yong Xie, Sarah Gul	Click to View
5	Blood cell image segmentation and classification: a systematic review	Muhammad Shahzad, Farman Ali, Syed Hamad Shirazi, Assad Rasheed, Awais Ahmad, Babar Shah, Daehan Kwak	Click to View
6	AneRBC dataset: a benchmark dataset for computer-aided anemia diagnosis using RBC images	Muhammad Shahzad, Syed Hamad Shirazi, Muhammad Yaqoob, Zakir Khan, Assad Rasheed, Israr Ahmed Sheikh, Asad Hayat, Huiyu Zhou	Click to View
7	Cervical cell’s nucleus segmentation through an improved UNet architecture	Assad Rasheed, Syed Hamad Shirazi, Arif Iqbal Umar, Muhammad Shahzad, Waqas Yousaf, Zakir Khan	Click to View
8	A QoS-aware data aggregation strategy for resource constrained IoT-enabled AMI network in smart grid	Asfandyar Khan, Syed Hamad Shirazi, Muhammad Adeel, Muhammad Assam, Yazeed Yasin Ghadi, Heba G Mohamed, Yong Xie	Click to View
9	Cover-based multiple book genre recognition using an improved multimodal network	Assad Rasheed, Arif Iqbal Umar, Syed Hamad Shirazi, Zakir Khan, Muhammad Shahzad	Click to View
10	ePMLF: Efficient and Privacy-Preserving Machine Learning Framework Based on Fog Computing	Ruoli Zhao, Yong Xie, Hong Cheng, Xingxing Jia, Syed Hamad Shirazi	Click to View
11	Face recognition via multi-level 3d-gan colorization	Zakir Khan, Arif Iqbal Umar, Syed Hamad Shirazi, Muhammad Shahzad, Muhammad Assam, Muhammad Tarek IM El-Wakad, El-Awady Attia	Click to View
12	Automatic eczema classification in clinical images based on hybrid deep neural network	Assad Rasheed, Arif Iqbal Umar, Syed Hamad Shirazi, Zakir Khan, Shah Nawaz, Muhammad Shahzad	Click to View
13	QoS-aware cost minimization strategy for AMI applications in smart grid using cloud computing	Asfandyar Khan, Arif Iqbal Umar, Syed Hamad Shirazi, Waqar Ishaq, Mohsin Shah, Muhammad Assam, Abdullah Mohamed	Click to View
14	Lung’s Segmentation Using Context-Aware Regressive Conditional GAN	Zakir Khan, Arif Iqbal Umar, Syed Hamad Shirazi, Assad Rasheed, Waqas Yousaf, Muhammad Assam, Izaz Hassan, Abdullah Mohamed	Click to View
15	Identification of anemia and its severity level in a peripheral blood smear using 3-tier deep neural network	Muhammad Shahzad, Arif Iqbal Umar, Syed Hamad Shirazi, Zakir Khan, Asfandyar Khan, Muhammad Assam, Abdullah Mohamed, El-Awady Attia	Click to View
16	Modified genetic algorithm for optimal classification of abnormal MRI tissues using hybrid model with discriminative learning approach	Syed Afsar Ali Shah Tirmzi, Arif Iqbal Umar, Syed Hamad Shirazi, Malik Abid Hussain Khokhar, Isma Younes	Click to View
17	A qos-aware machine learning-based framework for ami applications in smart grids	Asfandyar Khan, Arif Iqbal Umar, Arslan Munir, Syed Hamad Shirazi, Muazzam A Khan, Muhammad Adnan	Click to View
18	Lightweight healthcare wireless body area network scheme with amplified security	Zhengliang Jiang, Wei Liu, Ruijiang Ma, Syed Hamad Shirazi, Yong Xie	Click to View
19	Semantic segmentation of anaemic RBCs using multilevel deep convolutional encoder-decoder network	Muhammad Shahzad, Arif Iqbal Umar, Syed Hamad Shirazi, Israr Ahmed Shaikh	Click to View
20	Innovation performance in digital economy: does digital platform capability, improvisation capability and organizational readiness really matter?	Wen Jun, Muhammad Hamid Nasir, Zahid Yousaf, Amira Khattak, Muhammad Yasir, Asad Javed, Syed Hamad Shirazi	Click to View
21	Patch-CNN: Deep learning for logo detection and brand recognition	Waqas Yousaf, Arif Umar, Syed Hamad Shirazi, Zakir Khan, Imran Razzak, Mubina Zaka	Click to View
22	Image based analysis of meibomian gland dysfunction using conditional generative adversarial neural network	Zakir Khan Khan, Arif Iqbal Umar, Syed Hamad Shirazi, Asad Rasheed, Abdul Qadir, Sarah Gul	Click to View
23	Deep transfer learning for alzheimer neurological disorder detection	Abida Ashraf, Saeeda Naz, Syed Hamad Shirazi, Imran Razzak, Mukesh Parsad	Click to View