Dr Hassan Khosravi

Snr Lecturer, Learning Analytics

Institute for Teaching and Learning Innovation

Affiliate Academic

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
h.khosravi@uq.edu.au
+61 7 334 60774

Overview

The big data revolution has empowered universities with rich and complex digital data on their learners. Through digitally mediated activities conducted online or on-campus, students leave behind digital footprints that can be mined to promote scholarly inquiry about student learning. Dr Hassan Khosravi's research contributes to personalising education and translating traditional on-campus learning to authentic flexible learning in vibrant digital environments that better suit the needs and expectations of a digitally minded generation. In particular, Hassan's aim is to employ exemplary techniques from the fields of machine learning, data mining, learning analytics, gamification, visualisation, education and statistics to design, implement, validate and deliver solutions that use the digital footprints of learners towards improving students’ learning and enhancing their learning experience. For more information on his work please visit his profile page.

Research Interests

  • Learning Analytics, Educational Data Mining, Machine Learning

Qualifications

  • Doctor of Philosophy, Simon Fraser University

Publications

View all Publications

Supervision

  • Doctor Philosophy

  • Master Philosophy

  • Master Philosophy

View all Supervision

Available Projects

  • Are you interested in applying novel and innovative analytic approaches from fields such as machine learning, data mining, and visualisation to address highly challenging and world-changing tasks such as enhancing and personalising education? If yes, then please send me an email supplying a cover letter, your academic transcript with grades/GPA , and your CV. You can find a list of my current projects on my personal profile page.

    I am currently accepting full-time PhD and full-time MPhil students. For informtion on applications, entry requirements, and scholarships at the University of Queensland pleease visit this link.

View all Available Projects

Publications

Journal Article

Conference Publication

  • Khosravi, Hassan and Cooper, Kendra (2017). Using learning analytics to investigate patterns of performance and engagement in large classes. In: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education. SIGCSE '17, Seattle, WA, United States, (309-314). 8-11 March 2017. doi:10.1145/3017680.3017711

  • Khosravi, Hassan (2013). Fast parameter learning for Markov logic networks using Bayes nets. In: Inductive Logic Programming - 22nd International Conference, ILP 2012, Revised Selected Papers. 22nd International Conference on Inductive Logic Programming, ILP 2012, Dubrovnik, Croatia, (102-115). 17-19 September 2012. doi:10.1007/978-3-642-38812-5_8

  • Khosravi, Hassan, Bozorgkhan, Ali and Schulte, Oliver (2013). Transaction-based link strength prediction in a social network. In: Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, Singapore, (191-198). 16-19 April 2013. doi:10.1109/CIDM.2013.6597236

  • Khosravi, Hassan and Bina, Bahareh (2010). A survey on statistical relational learning. In: Advances in Artificial Intelligence - 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Proceedings. 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, ON, Canada, (256-268). 31 May - 2 June 2010. doi:10.1007/978-3-642-13059-5_25

  • Khosravi, Hassan, Schulte, Oliver, Man, Tong, Xu, Xiaoyuan and Bina, Bahareh (2010). Structure learning for Markov Logic Networks with many descriptive attributes. In: AAAI-10 / IAAI-10 - Proceedings of the 24th AAAI Conference on Artificial Intelligence and the 22nd Innovative Applications of Artificial Intelligence Conference. 24th AAAI Conference on Artificial Intelligence and the 22nd Innovative Applications of Artificial Intelligence Conference, AAAI-10 / IAAI-10, Atlanta, GA, United States, (487-493). 11-15 July 2010.

  • Schulte, Oliver, Frigo, Gustavo, Greiner, Russell and Khosravi, Hassan (2010). The IMAP hybrid method for learning Gaussian bayes nets. In: Advances in Artificial Intelligence - 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Proceedings. 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, ON, Canada, (123-134). 31 May - 2 June 2010. doi:10.1007/978-3-642-13059-5_14

  • Schulte, Oliver, Frigo, Gustavo, Greiner, Russell, Luo, Wei and Khosravi, Hassan (2009). A new hybrid method for bayesian network learning with dependency constraints. In: Symposium on Computational Intelligence and Data Mining, 2009 CIDM '09. IEEE Symposium on. 2009 IEEE Symposium on Computational Intelligence and Data Mining (Cidm), Nashville, TN, (53-60). 30 March - 2 April 2009. doi:10.1109/CIDM.2009.4938629

  • Khosravi, Hassan and Colak, Recep (2009). Exploratory Analysis of Co-Change Graphs for Code Refactoring. In: Advances in Artificial Intelligence, Proceedings. 22nd Canadian Conference on Artificial Intelligence, Kelowna Canada, (219-223). May 25-27, 2009.

  • Bina, Bahareh, Schulte, Oliver and Khosravi, Hassan (2009). LNBC: A link-based naive bayes classifier. In: ICDM Workshops 2009 - IEEE International Conference on Data Mining. 2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009, Miami, FL, (489-494). December 6, 2009-December 6, 2009. doi:10.1109/ICDMW.2009.116

  • Khosravi H., Shiri M.E., Khosravi H., Iranmanesh E. and Davoodi A. (2008). TACtic- a multi behavioral agent for trading agent competition. In: Advances in Computer Science and Engineering - 13th International CSI Computer Conference, CSICC 2008, Revised Selected Papers. 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, (811-815). March 9, 2008-March 11, 2008. doi:10.1007/978-3-540-89985-3_109

Other Outputs

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Master Philosophy — Principal Advisor

  • Master Philosophy — Principal Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • Are you interested in applying novel and innovative analytic approaches from fields such as machine learning, data mining, and visualisation to address highly challenging and world-changing tasks such as enhancing and personalising education? If yes, then please send me an email supplying a cover letter, your academic transcript with grades/GPA , and your CV. You can find a list of my current projects on my personal profile page.

    I am currently accepting full-time PhD and full-time MPhil students. For informtion on applications, entry requirements, and scholarships at the University of Queensland pleease visit this link.