阿扎爾 博士
Dr. Muhammad AZHAR
Assistant Professor
Programme Director of BSc-ADS
Director of Big Data Laboratory
 
 
Dr. Muhammad Azhar is the Program Director of Applied Data Science and Assistant Professor at Hong Kong Shue Yan University, SAR, China. He is also the Director of Big Data Laboratory of HKSYU. Before joining HKSYU as an Assistant Professor in 2023, Dr. Azhar has over 11 years of experience in teaching and research in different universities and research institutes in South Korea, Mainland China and Pakistan. In addition to this, he worked in different software companies of Pakistan (Sofnix Private Limited and Turnotech Private Limited) and U.K. (Welltime Ltd.). He received his B.S. degree in Computer Science from National University of Computer and Emerging Sciences, Islamabad, Pakistan, master’s degree in computer science from Sejong University, Seoul, South Korea, and the Ph.D. degree in Machine Learning and Data Mining from Shenzhen University, Shenzhen, China. He worked as a Research Professor at Chosun University, South Korea. His research interests include Data Mining, Natural Language Processing and Computer Vision through conventional machine learning and advanced deep learning techniques.
 
 

Courses Taught

  • Introduction to Machine Learning (ML)
  • Deep Learning
  • Computer Vision with Deep Learning
  • Computer Organization and Architecture (COA)
  • Digital Humanities: Theories and Methods
  • Introduction to Database Systems
  • Computer Programming as Problem Solving
  • Predicting Human Behavior with Big Data
  • Writing Your First Apps Using Python Programs
  • Introduction to Data Science
  • Python for Data Science
  • Introduction to Data Mining
 

Area of Interest

  • Machine Learning
  • Deep Learning
  • Data Mining
  • Computer Vision
  • Natural Language Processing
 

Academic Qualifications

  • PhD (Machine Learning and Data Mining) Big Data Institute, Shenzhen University, Shenzhen, China
  • MS (Virtual Reality) Intelligent Media Lab, Sejong University, South Korea
  • BS (Computer Science) National University of Computer and Emerging Sciences, Islamabad, Pakistan
 

Funded Projects

  • 01/01/2025 - 31/12/2026: Leader of the Technology Support Team
    • Quality Enhancement Support Scheme (QESS) 02/QESS/2024 - “Empowering Language Competence and Professional Communication through an AI-based Language Laboratory (ALL)” 
    • Amount: $2,382,950
  • 01/09/2024 - 01/03/2027: Principal Investigator (PI)
    • RIS/24/03 - "Automatic Suggestions Generation by Generative Artificial Intelligence (AI) Based on Customer Reviews"
  • 10/10/2024 - 09/10/2026: Principal Investigator (PI)
    • URG/24/02- "MindMate: A Generative AI System for Personalized Mental Health Recommendations Through Chat Interaction"
  • Classification of Dental diseases through Panoramic Radiographs
  • Deep Learning based Video Summarization
  • Personality Prediction through Social Network by using Deep Learning Techniques
  • Efficient Law Enforcement System: A project with collaboration of Rescue 15 Islamabad Police. 
 
 

Publications

  • Muhammad Azhar, Shahida Perveen, Asma Iqbal, and Bumshik Lee.(2024). IDRandom-Forest: Advanced Random Forest for Real-time Intrusion Detection. IEEE Access. (IF: 3.4, Q1)
  • Sajid Ullah Khan, Mir Ahmad Khan, Muhammad Azhar, Fahem Khan, and Muhammad Javed. "Multimodal Medical Image Fusion Towards Future Research: A Review." Journal of King Saud University - Computer and Information Sciences (2023): 101733. (IF: 5.2, Q1)
  • Muhammad Azhar, Joshua Zhexue Huang, M A Masud, Mark Junjie Li, and Lai Zhong Cui, “Identify the Number of Clusters from Complex Data with Many Clusters using GMM Trees and Forests,” Applied Soft Computing , 2019. (IF: 8.26, Q1)
  • Muhammad Azhar, Mark Junjie Li, and Zhexue Huang, J. “A Hierarchical Gamma Mixture Model-Based Method for Classification of High-Dimensional Data”. Entropy, 21(9), p.906. (2019) (IF: 2.73, Q2)
  • Muhammad Shafqat Ali, Muhammad Azhar*, Saba Masood, Bumshik Lee, Tanzeela Iqbal, and Adeen Amjad. "Efficient Video Summarization with Hydra Attentive Vision Transformer." In 2023 International Conference on Frontiers of Information Technology (FIT), pp. 196-201. IEEE, 2023.
  • Khadim Hussain, Muhammad Azhar*, Bumshik Lee, Asma Iqbal, Muhammad Affan, and Sajid Ullah Khan. "ASAnalyzer: Attention based Sentiment analyzer for Real-world Sentiment Analysis." In 2023 International Conference on Frontiers of Information Technology (FIT), pp. 184-189. IEEE, 2023.
  • Sohail Zia, Muhammad Azhar*, Mubshik Lee, Adnan Tahir, Javed Ferzund, Fozia Murtaza, Moazam Ali, Recognition of printed Urdu script in Nastaleeq font by using CNN-BiGRU-GRU Based Encoder-Decoder Framework, Intelligent Systems with Applications, 18 (2023): 200194.
  • Rana Adnan Ahmad, Muhammad Azhar*, and Hina Sattar. "An image captioning algorithm based on the hybrid deep learning technique (CNN+ GRU)." In 2022 International Conference on Frontiers of Information Technology (FIT), pp. 124-129. IEEE, 2022.
  • Muhammad Azhar, Mark Junjie Li , “IniceMPRO: Identify the Number of Clusters and Initial Cluster Centers using Multi Layer GMMs” (2017). The 5th CCF BIG DATA Conference.
  • Trinh, Thanh, Dingming Wu, Joshua Zhexue Huang, and Muhammad Azhar. "Activeness and Loyalty Analysis in Event-Based Social Networks." Entropy 22, no. 1 (2020): 119. (IF: 2.73, Q2)
  • Zhang, Xiaoliang, Yulin He, Yi Jin, Honglian Qin, Muhammad Azhar, and Joshua Zhexue Huang. "A robust k-means clustering algorithm based on observation point mechanism." Complexity (2020) (IF: 2.833, Q1)
  • Affan Yasin, Rubia Fatima, Lijie Wen, Wasif Afzal, Muhammad Azhar, and Richard Torkar. "On Using Grey Literature and Google Scholar in Systematic Literature Reviews in Software Engineering." IEEE Access 8 (2020): 36226-36243. (IF: 3.4, Q1)
  • Muhammad Tahir, Mingchu Li, Xiao Zheng, Anil Carie, Xing Jin, Muhammad Azhar, Naeem Ayoub et al. "A novel network user behaviors and profile testing based on anomaly detection techniques." International Journal of Advanced Computer Science and Applications 10, no. 6 (2019): 305-324. (IF: 1.092, Q3)
  • Muhammad Azhar, Muhammad Sajjad, Fahad, Irfan Mehmood, Bon Woo Gu, Wan Jeong Park, Wonil Kim, Joon Soo Han, Yun Jang, and Sung Wook Baik. "Flowchart based storyboard system for authoring visual Contents." (2015). IJEEE Volume 3, No.3.
  • Muhammad Azhar, Fahad, Muhammad Sajjad, Irfan Mehmood, Bon Woo Gu, Wan Jeong Park,Wonil Kim, Joon Soo Han, Yun Jang, and Sung Wook Baik, "VIP-emulator: To design interactive architecture for adaptive mixed reality space", International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME2014) Feb 4-5, 2014 Bali (Indonesia)
  • Fahad, Muhammad Azhar, Muhammad Sajjad, Irfan Mehmood, Bon Woo Gu, Wonil Kim, Joon Soo Han, Seong Joon Yoo, Dongil Han, Yun Jang, and Sung Wook Baik "Real Time Distributed Content Rendering Technique based on Agent-mediator Communication Framework for Multi-display Systems" International Conference on Future Software Engineering and Multimedia Engineering (ICFM 2013), Saipan / USA. (ELSEVIER).
  • Muhammad Azhar, Muhammad Sajjad, Irfan Mehmood, Soon Il Kwon, Jong-Weon Lee, and Sung-Wook Baik. "Comparative Analysis of Graphic Contents Rendering Techniques in a Multi-view System through Agent-Mediator Based Communication." In Ubiquitous Information Technologies and Applications, pp. 573-579. Springer, Berlin, Heidelberg, 2014.
 

Professional Experiences

  • Assistant Professor, Department of Applied Data Science, Hong Kong Shue Yan University (2023 – Now)
  • Research Professor, IT Convergence, Department of Computer Science, Chosun University, South Korea (2022-2023)
  • Assistant Professor, Department of Computer Science, Comsats University Islamabad, Pakistan (2020-2022)
  • Research Scholar, Big Data Institute, Shenzhen University, Shenzhen, China (2015-2020)
  • Lecturer, Department of Computer Science, Comsats University Islamabad, Pakistan (2014-2015)
  • Research Assistant, Intelligent Media Lab, Sejong University, South Korea (2012-2014)
  • Visiting Lecturer, Huazhong University of Science and Technology, China
  • Software Engineer (Remote), Welltime Pvt. Limited, UK (2011-2012)
  • IOS and android Application developer, Turnotech Pvt. Limited, Islamabad (2011-2012)
  • Software Engineer, Sofnix Private Limited, Islamabad
 

Scholarly and Community Services

Reviewer of the following journals:
  • Information Sciences
  • Neural Computing and Applications
  • Applied Soft Computing
  • Computers in human behavior
  • Intelligent systems with applications
  • IEEE ACCESS
  • Entropy