Professor Tanveer Zia

Head of Computer Science
PhD (Sydney), SFHEA, MACS [SNR]

Email: tanveer.zia@nd.edu.au

  • Biography

    Tanveer Zia currently serves as the Professor and Head of Computer Science at the University of Notre Dame, Australia. His previous role was as the Associate Director and a founding member of the Centre of Excellence in Cybercrimes and Digital Forensics at the Naif Arab University for Security Sciences in Riyadh, a position he held from February 2021 to February 2024. Prior to that, Tanveer contributed significantly to academic and institutional leadership during his 12-year tenure at Charles Sturt University Wagga Wagga Campus. There, he held the positions of Professor of Computing and Associate Head of the School of Computing, Mathematics, and Engineering. Notably, Tanveer is recognized as a Senior Fellow of the Higher Education Academy (SFHEA) in the UK.

  • Teaching areas

    Tanveer's teaching interests include Cyber Security, Network and Cryptography, Ethical Hacking and Penetration Testing, Cybercrime and Digital Forensics, Internet of Things, and Advanced Topics in Computer Science.

  • Research expertise and supervision

    Tanveer's research spans four key areas in computer science: networks and distributed systems, cyber security, digital forensics, and artificial intelligence. In the realm of networks, he investigates security concerns related to wireless sensor networks, body area networks, vehicular area networks, smart cities, and the Internet of Things (IoT). His second area of focus revolves around cyber security, information assurance, and privacy-preserving data sharing. In the third strand, Tanveer explores image forgery detection, drone forensics, and the identification of deep-fake voices. Lastly, within the fourth strand, he employs artificial intelligence, machine learning, and deep learning techniques to tackle various research challenges.

  • Book chapters

    (from 2021)

    • Qazi, E. H., Zia, T. A., Al-Muhtadi, J., Saleem, K., and Imran, M. (2023). Variants of Restricted Boltzman Machines and Auto-Encoders. Book chapter in Internet of Things Security and Privacy: Practical and Management Perspectives. Routledge Taylor & Francis. ISBN: 9781032057712, eISBN: 9781003199410.

  • Journal articles

    (from 2021)

    • Jiang, Y., Baee, M. A. R., Simpson, L., Gauravaram, P., Pieprzyk, J., Zia, T. A., Zhao, Z., and Le, B. D. (2024). Pervasive Data Collection from Cyberspace: Privacy Concerns and Countermeasures. Cryptography. 2024, 8(1), 11. https://doi.org/10.3390/cryptography8010005
    • Almusayli. A., Zia, T. A., and Qazi, E. H. (2024). Drone Forensics: An Innovative Approach to the Forensic Investigation of Drone Accidents Based on Digital Twin Technology. Technologies. 2024, 12(1), 11. https://doi.org/10.3390/technologies12010011
    • Qazi. E. H., Zia, T. A., Imran, M., and Faheem, M. H. (2024). Deep Learning-Based Digital Image Forgery Detection Using Transfer Learning. Intelligent Automation & Soft Computing. 2024, 39(1). https://doi.org/10.32604/iasc.2023.041181
    • Ghorashi. S. R., Zia, T. A., Bewong, M., and Jiang, Y. (2023). An Analytical Review of Industrial Privacy Framewoks and Regulations for Organisational Data Sharing. Applied Sciences. 2023, 13(23), 12727. https://doi.org/10.3390/app132312727
    • Sanghvi, H., Rathod, D., Altaleedi, S. Y., AlThani, A. S., Alkhawaldeh, M. A. A., Almorjan, A., Shah, R., Zia. T. A. (2023). Google Chrome Forensics. International Journal of Electronic Security and Digital Forensics. 15(6) DOI: https://doi.org/10.1504/IJESDF.2023.133968
    • Kim, K..,  Alshenaifi, I. M., Ramachandran, R.., Kim, J., Zia, T. A., and Almorjan, A. (2023). Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey.  Sensors 2023, 23 (7), 3681; https://doi.org/10.3390/s23073681
    • Qazi. E. H., Zia, T. A., and Faheem, M. H. (2023). HDLNIDS: Hybrid Deep Learning Based Network Intrusion Detection System. Applied Sciences. 2023, 13(8), 4921. https://doi.org/10.3390/app13084921
    • Shahzad, K., Zia, T. A., Qazi, E. (2022). A Review of Functional Encryption in IoT Applications. Sensors 2022, 22(19), 7567; DOI: https://doi.org/10.3390/s22197567
    • Taee, A. A., Hosseini, S., Khushaba, R., Zia, T. A., Lin, C. T., and Al-Jumaily, A. (2022). Deep Learning Inspired Feature Engineering for Classifying Tremor Severity. IEEE Access. DOI: 10.1109/ACCESS.2022.3210344
    • Qazi, E. H., Almorjan, A. and Zia, T. A. (2022). A One-Dimensional Convolutional Neural Network (1D-CNN) Based Deep Learning System for Network Intrusion Detection. Applied Sciences 2022, 12 (16), 7986;  DOI https://doi.org/10.3390/app12167986
    • Donevski, M., Zia, T. A. (2022). Cyber Diversity Index for Sustainable Self-Control of Machines. Cybernetics and Systems. Taylor & Francis. DOI https://doi.org/10.1080/01969722.2022.2081896
    • Qazi, E. H., Zia, T. A., Almorjan, A. (2022). Deep Learning-Based Digital Image Forgery Detection System. Applied Sciences. 2022, 12 (6), 2851;  DOI https://doi.org/10.3390/app12062851
    • Ghorashi, S. R., Zia, T. A., Jiang, Y., and Bewong, M. (2021). Software Optimisation of Lightweight Klein Encryption in IoT. Journal of Information Security and Cybercrimes Research. Vol 4, Issue (2), 55-68. DOI https://doi.org/10.26735/PXAE9280
    • Jamil, H., Zia, T. A., and Nayeem, T. (2021). User Acceptance of Password Manager Software: Evidence from Australian Microbusinesses. Journal of Information Security and Cybercrimes Research. Vol 4, Issue (2), 44-54. DOI https://doi.org/10.26735/KPOB8473
    • Rauf, B., Abbas, H., Usman, M, Zia, T. A., Iqbal, W., Abbas, Y., and Afzal, H. (2021). Application Threats to Exploit Northbound Interface Vulnerabilities in Software Defined Networks. ACM Computing Surveys. DOI:10.1145/3453648
    • Abdullah, M., Raza, I., Zia, T. A., and Hussain S. A. (2021). Interest Flooding Attack Mitigation in a Vehicular Named Data Network. IET Intelligent Transport Systems Journal. DOI:10.1049/itr2.12042

    Edited Proceedings

    • Doss, R., Zia, T.A., and Ranasinghe, D. (Eds) (2022). Proceedings of the 6th IEEE PerCom Workshop on Security Privacy and Trust in the Internet of Things (SPT-IoT). DOI: https://doi.org/10.1109/PerComWorkshops53856.2022.9767469
    • Zia, T.A., Doss, R., and Ranasinghe, D. (Eds) (2021). Proceedings of the 5th IEEE PerCom Workshop on Security Privacy and Trust in the Internet of Things (SPT-IoT). DOI: 10.1109/PerComWorkshops51409.2021.9430960
    • Zia, T.A., Doss, R., and Ranasinghe, D. (Eds) (2020). Proceedings of the 4th IEEE PerCom Workshop on Security Privacy and Trust in the Internet of Things (SPT-IoT). DOI: 10.1109/PerComWorkshops48775.2020.9156148
    • Zia, T.A., Doss, R., and Ranasinghe, D. (Eds) (2019).  Proceedings of the 3rd IEEE PerCom Workshop on Security Privacy and Trust in the Internet of Things (SPT-IoT). E-ISBN 978-1-5386-9151-9, Print ISBN 978-1-5386-9152-6, DOI: 10.1109/PERCOMW.2019.8730855
    • Zia, T.A., and Ang, L. (Eds) (2017).  Book of Short Papers. School of Computing and Mathematics, Charles Sturt University.  ISBN 978-1-86-467304-3. Catalogued by National Library of Australia
    • Doss, R., Zia, T.A., and Ranasinghe, D. (Eds) (2017). Proceedings of the 2nd IEEE PerCom Workshop on Security Privacy and Trust in the Internet of Things (SPT-IoT). E-ISBN 978-1-5090-4338-5, Print 978-1-5090-4339-2. DOI: 10.1109/PERCOMW.2017.7917504
    • Doss, R., Zia, T.A., Ranasinghe, D. (Eds) (2016). Proceedings of the First IEEE PerCom Workshop on Security Privacy and Trust in the Internet of Things (IoT). DOI: 10.1109/PERCOMW.2016.7457047
    • Zia, T. A., Zomaya, A. Y., Varadharajan, V., and Mao, M. (Eds) (2013). Security and Privacy in Communication Networks. 9th International ICST Conference, SecureComm 2013. Lecture Notes of the Institute for Computer Science, Social Informatics and Telecommunications Engineering 127. Springer-Verlag. Berlin. DOI 10.1007/978-3-319-04283-1, ISBN 978-3-319-04282-4,e-ISBN 978-3-319-04283-1, ISSN 1867-8211, e-ISSN 867-822X

  • Conference papers

    (from 2021)

    • Aljuwair, M., Qazi. E. H., Zia, T. A. (2024). Internet of Things (IoT) Forensics: Chip-off Forensics. The 12th International Symposium on Digital Forensics and Security. April 29–30, 2024. San Antonio, TZ, USA..
    • Thedchanamoorthy, G., Bewong, M., Mohammady, M., Zia, T. A. and Islam, Z.(2024). Optimization of UD-LDP with statistical prior knowledge. The 7th International Workshop on Security, Privacy and Trust in the Internet of Things in conjunction with IEEE Percom. March 11–15, 2024. Biarritz, France.
    • Al Jumaily, A., Taee, A. A., Khushaba, R., and Zia, T. A. (2023). Cardinality With Spatial Filter for Myoelectric Pattern Recognition Feature Extraction. Brunei International Conference on Engineering & Technology (BICET 2023). Oct 23–25, 2023. Brunei Darussalam.
    • Taee, A. A., Khushaba, R. N., Zia, T. A., Al Jumaily, A. (2023). Deep Scattering with Attention Mechanisms Improves EMG-based Hand Gesture Recognition. The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC’22). Jul 24–27, 2023. Sydney, Australia.
    • Taee, A. A., Khushaba, R. N., Zia, T. A., Al Jumaily, A. (2022). The Effectiveness of Narrowing with Window size for LD & HD EMG Channels based on Novel Deep Learning Wavelet Scattering Transform Feature Extraction Approach. The 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC’22). Jul 11–15, 2022. Glasgow, UK.
    • Taee, A. A., Khushaba, R. N., Zia, T. A., Al Jumaily, A. (2022). Feature Extraction Using Wavelet Scattering Transform Coefficients for EMG pattern Classification. The 34th Australasian Joint Conference on Artificial Intelligence (AJCAI 2021). Feb 2–4, 2022, Sydney. https://link.springer.com/chapter/10.1007/978-3-030-97546-3_15
    • Taee, A. A., Khushaba, R. N., Zia, T. A., Al Jumaily, A. (2021). Cardinality and Short-Term Memory Concepts based Novel Feature Extraction for Myoelectric Pattern Recognition. The 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’21). Oct 31–Nov 4, 2021. DOI: 10.1109/EMBC46164.2021.9629963
    • Jafer, M., Khan, M. A., Rehman, S., Zia, T. A. (2021). A Game Theoretical Approach to Model Vehicular Broadcast Communication. W10 - Workshop on Autonomous Vehicular Networking of 2021 IEEE 94th Vehicular Technology Conference (VTC2021 Fall). September 27–30, 2021. Online.
    • Le. B. D., Zia, T. A. (2021). Discrete Distribution Estimation with Local Differential Privacy. A Comparative Analysis. 5th International Workshop on Security, Privacy and Trust in the Internet of Things in conjunction with IEEE Percom. March 22–26, 2021. Kassel, Germany
    • Shoumy, N. J., Li-Minn, A., Rahaman, D. M., Zia, T. A., Seng, K. P., and Khatun, S. (2021). Improving human emotion recognition from emotive videos using geometric data augmentation. The 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021). July 26–29, Kuala Lumpur,  Malaysia.
    • Shoumy, N. J., Li-Minn, A., Rahaman, D. M., Zia, T. A., Seng, K. P., and Khatun, S. (2021). Augmented Audio Data in Improving Speech Emotion Classification Tasks. The 33rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021). July 26–29, Kuala Lumpur, Malaysia.

  • In the media

    (from 2021)

    • The Daily Advertiser – Cybersecurity expert Tanveer Zia offers tips for telling true love from scam online this Valentine’s Day. Andrew Mangelsdorf. 10 February 2023
    • ABC Riverina – Optus data breach. Interview Breakfast host Sam Robinson. 28 September 2022.
    • The Daily Advertiser – Riverina businesses facing an increased risk of cyber-attacks post-pandemic. Andrew Mangelsdorf. 4 August 2022.
    • The Daily Advertiser – COVIDsafe app ‘failed to deliver’ according to Wagga expert. Annie Lewis. 8 Jan 2021.

  • Professional affiliations

    Tanveer's professional affiliations include being a Senior Member of the Australian Computer Society (MACS SNR), Senior Member of IEEE, Member of IEEE Computer Society, Member of the Australian Information Security Association (AISA), Associate Member of the American Academy of Forensic Sciences (AAFS), Member of the Chartered Society of Forensic Sciences in the UK, and a Member of the High Technology Crime Investigation Association.

  • Community engagement

    • Plenary speaker – Advancements in Cyber Security. The 4th Annual Forensic Conference. Society for Forensic and Analytical Scientists, Nigeria. 16-17 November 2022.
    • Panel discussion – Digital Transformation Leadership and Data Security Challenges. The 23rd INTERPOL Police Training Symposium. September 26-28, 2022. Riyadh.
    • Plenary Speaker – Cyberterrorism and Cybersecurity: Attacking and Defending with Artificial Intelligence. The Fifth International Conference of the Arab Society for Forensics Sciences and Forensics Medicine.  November 23-25, 2021. Riyadh.
    • NAUSS Delegate – UNODC Seventh Meeting of the Expert Group to Conduct a Comprehensive Study on Cybercrime. April 6-8, 2021. Vienna.

  • Awards

    • Winner of the 2022 Academic Excellence Award for best e-course, Naif Arab University for Security Sciences.
    • Winner of the 2020 Australian Information Security Association (AISA) Award for “Best STEM promoter of the year”.
    • 2nd Runner-up of the 2020 Asia-Pacific Triple E Awards ‘Entrepreneurship and Engagement Excellence Awards in Higher Education’ in the category of ‘Community Engagement Initiative of the Year’.
    • Winner of the 2019 Women in Security Award in the category of Best Higher Education Program for Young Ladies in Security
    • Winner of the 2016 Charles Sturt University’s  Faculty of Business Academic Excellence Award
    • Winner of the 2014 Charles Sturt University’s Faculty of Business Academic Excellence Award
    • Winner of the 2014 Charles Sturt University’s Faculty of Business Sustained Excellence Award
    • Winner of the 2014 Charles Sturt University’s School of Computing and Mathematics Teaching Excellence Award
    • Winner of the 2013 Charles Sturt University’s Faculty of Business Leadership Excellence Award (Team Award)
    • Winner of the 2011 Charles Sturt University’s Faculty of Business Research Excellence Award
    • Winner of the 2010 Charles Sturt University’s Faculty of Business Emerging Researcher Award
    • Winner of the 2010 Charles Sturt University’s School of Computing and Mathematics Research Excellence Award