• 2201 Citations
  • 26 h-Index
1992 …2020

Research output per year

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Personal profile


Mehmet A. Orgun is currently a professor at the Department of Computing, Macquarie University, Sydney. He received the BSc and MSc degrees in computer science and engineering from Hacettepe University, Ankara, Turkey in 1982 and 1985 respectively; and the PhD degree in computer science from the University of Victoria, Canada in 1991. He is a Senior Member of IEEE (SMIEEE).

His current research interests include artificial intelligence, knowledge discovery, biomedical image processing, multi-agent systems, and trusted & secure systems; he has graduated 30 PhD, 2 Masters (Honours) and 5 Masters students to date, in these research areas and others. He was the chief investigator in a number of Australian Research Council (ARC) grants, under both the Discovery and Linkage schemes, with the total funding amount exceeding $2.5 million dollars. He has also conducted successful collaborative research projects with various industry partners including the Australian Taxation Office (ATO) and the Defence Science and Technology Organisation (DSTO) of Australia.

His professional service includes editorial and review board memberships of several leading journals and program committee and senior program committee memberships of numerous national and international conferences. Recently, he was the program co-chair of The 14th Pacific-Rim International Conference on Artificial Intelligence (PRICAI 2010); and conference co-chair of The 12th International Conferences on Security of Information and Networks (SIN 2019). 


  • Best Student Paper Award & Top 5 Picks Award, Jun Zou, Yan Wang and Mehmet Orgun, A Dispute Arbitration Protocol Based on a Peer-to-Peer Service Contract Management Scheme, 23rd International Conference on Web Services (IEEE ICWS2016, research track, acceptance rate 14%), June 27-July 2, 2016, San Francisco, USA (CORE rank A)
  • Best Paper Award, Guanfeng Liu, Yan Wang, Mehmet A. Orgun and Ee-Peng Lim, A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks, IEEE The 7th International Conference on Services Computing (IEEE SCC2010) (research track, acceptance rate: 29/165 =18%), July 5-10, 2010, Miami, Florida, USA (CORE rank A)
  • The best paper award in the theme of Application, Akther Shermin and Mehmet A Orgun; Using Dynamic Bayesian Networks to Infer Gene Regulatory Networks from Expression Profiles. In Sung Y. Shin, Sascha Ossowski (Eds.), Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, March 9-12, 2009, ACM Press, pages 799-803. 

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Reputation-based Trust Management in Crowdsourcing Environments

Wang, Y., Sheng, M., Orgun, M., MQRES (International), M. (. & MQRES, M.


Project: Research

A Personalized Social Network Based Location Search and Recommender System

Yang, J., Orgun, M., Wang, Y., Air, M., Eichhorn, B. & Rej, T.

1/05/13 → …

Project: Research

Efficient processing of data streams

Orgun, M.


Project: Research

Research Outputs

Correlation matters: multi-scale fine-grained contextual information extraction for hepatic tumor segmentation

Pang, S., Du, A., Yu, Z. & Orgun, M., 2020, Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020 Singapore, May 11-15, 2020, Proceedings. Lauw, H. W., Wong, R. C-W., Nitoulas, A., Lim, E-P., Ng, S-K. & Pan, S. J. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 462-474 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12084 LNAI, no. 1).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies

    Yu, Z., Pang, S., Du, A., Orgun, M., Wang, Y. & Lin, H., 2020, Medical Imaging 2020: Image Processing. Išgum, I. & Landman, B. A. (eds.). Bellingham, WA: SPIE, 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • Guest editorial: special issue on trust, privacy, and security in crowdsourcing computing

    Liu, A., Liu, G., Orgun, M. A. & Li, Q., Jan 2020, In : World Wide Web. 23, 1, p. 389-391 3 p.

    Research output: Contribution to journalEditorial

    Open Access

    High-capacity (2,3) threshold quantum secret sharing based on asymmetric quantum lossy channels

    Lai, H., Pieprzyk, J., Luo, M. X., Zhan, C., Pan, L. & Orgun, M. A., May 2020, In : Quantum Information Processing. 19, 5, 13 p., 157.

    Research output: Contribution to journalArticle

  • 1 Citation (Scopus)

    Intention Nets: psychology-inspired user choice behavior modeling for next-basket prediction

    Wang, S., Hu, L., Wang, Y., Sheng, Q. Z., Orgun, M. & Cao, L., 2020, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Palo Alto, CA: Association for the Advancement of Artificial Intelligence, p. 6259-6266 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    Open Access