Research areas

  • QA75 Electronic computers. Computer science
  • QA76 Computer software

Research interests

Muhammad Usman received the MS (Computer Science) from the PMAS-AAUR, Pakistan with first class and obtained Ph.D. from School of Information and Communication Technology, Griffith University, Australia. He severed as a Postdoc Research Fellow in Cyber Security and Machine Learning at University of Surrey, UK. He possesses over 16 years of experience during which he has held several academic and industrial positions in different parts of the world including Australia, Pakistan, Saudi Arabia and UK. His current research interests include design and analysis of security and privacy techniques for cyber-physical systems, security and privacy issue of IoT-enabled and smart systems, security, trust and privacy of cross-discipline domains, formal and statistical modelling, applied machine learning and data analytics in several domains such as health, social science, etc. He has published more than thirty-five research papers in international journals and conferences including prestigious journals such as IEEE Transactions on Consumer Electronics and IEEE Transactions on Industry Applications. He has also published a book focused on Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. He has successfully supervised over 25 postgraduate research and undergraduate project students and supervising PhD students. He has been recipient of several research and travel grants. He has led, and acted as an associate guest editor, in special issues in IEEE transactions. He has served in different capacities such as organising committee member, TCP member, focal person and/ or publication chair of several international IEEE conferences. He is a member of Network Security Research Group at the Institute for Integrated and Intelligent Systems at Griffith University, Australia. He is also a member of Computer Science Teachers Association, endorsed by ACM, USA. He is a Juniper certified networking and security specialist. His research paper has received the best paper award in IEEE ComTech 2017.

Research output

  1. Security and Privacy in IoT Using Machine Learning and Blockchain: Threats and Countermeasures

    Research output: Contribution to journalArticlepeer-review

  2. Anomaly Detection in Automated Vehicles Using Multistage Attention-based Convolutional Neural Network

    Research output: Contribution to journalArticlepeer-review

  3. Fuzzy-in-the-Loop Driven Low Cost and Secure Biometric User Access to Server

    Research output: Contribution to journalArticlepeer-review

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