• 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

Area of Interest

• Machine Learning
• Deep Learning
• Data Mining

• Computer Vision

• 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
• Assistant Professor, Department of Computer Science, Comsats University Islamabad, Pakistan
• Research Scholar, Big Data Institute, Shenzhen University, Shenzhen, China
• Lecturer, Department of Computer Science, Comsats University Islamabad, Pakistan
• Research Assistant, Intelligent Media Lab, Sejong University, South Korea
• Visiting Lecturer, Huazhong University of Science and Technology, China
• Software Engineer (Remote), Welltime Pvt. Limited, UK
• IOS and android Application developer, Turnotech Pvt. Limited, Islamabad

• 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)
• Rana Adnan Ahmad, Muhammad Azhar*, Hina Sattar, “An Image captioning algorithm based on the Hybrid Deep Learning Technique (CNN+GRU)”, International conference on frontiers of information technology 2022.
• 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, (Accepted)
• 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.

Papers Under Review

• Khadim Hussain, Muhammad Azhar, Javed Ferzund, "Sentiment Analysis of Covid-Vaccine Tweets by using Deep Learning." Information Sciences
• Rimsha Sandal, Muhammad Azhar, Javed Ferzund, "Video summarization based on key shots selection by using attention based KSVS technique." IEEE Transactions on Knowledge and Data Engineering
• Faiza Khan, Muhammad Azhar* and Mohammad Usman, “Phishing Web-Pages detection based on page contents by using Hybrid Deep Learning Algorithms.” Applied Sciences.
• Muhammad Azhar, Mark Junjie Li, and Joshua Zhexue Huang, “A New Ensemble Method for Identifying the Number of Clusters in Subspaces of High Dimensional Data”, IEEE ACCESS.