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Dr Hassan Khosravi
Dr

Hassan Khosravi

Email: 
Phone: 
+61 7 334 60774

Overview

Background

Dr Hassan Khosravi is an Associate Professor in Data Science and Learning Analytics at The University of Queensland. As a computer scientist by training, he is passionate about the role of artificial intelligence in the future of education. In his research, he draws on theoretical insights driven from the learning sciences and exemplary techniques from the fields of human-centred AI and crowdsourcing to build technological solutions that enhance student learning and experience. His past research and publications have addressed a number of diverse topics such as learning graphical models, statistical-relational learning, social network analysis, cybersecurity and game theory.

Hassan's teaching career includes coordinating 30 different offerings with class sizes ranging from 50 to 700, in 10 distinct courses to a total of approximately 7000 students at three top-ranked institutions: Simon Fraser University (SFU) and The University of British Columbia (UBC) in Canada, and The University of Queensland (UQ) in Australia. He has taught a range of courses including introductory programming courses, data structures and algorithms, artificial intelligence, database management systems as well as graduate-level data science courses. he also leads and teaches into a variety of formal and programs that mentor and foster the next generation of great teachers. These programs cover a wide variety of topics, including student-centred learning, active learning tools and strategies, supporting assessment design and delivery at scale, and enhancing teaching with learning analytics.

Hassan holds a Senior Fellowship with the Higher Education Academy, which has been awarded in recognition of his contributions to effective approaches to teaching and learning as well as successful coordination, support, supervision, management and mentoring of others in relation to learning and teaching.

Availability

Dr Hassan Khosravi is:
Available for supervision
Media expert

Qualifications

  • Doctor of Philosophy, Simon Fraser University

Research interests

  • Educational Technologies and Learning Analytics

  • Human-AI Interaction and Explainable AI

Works

Search Professor Hassan Khosravi’s works on UQ eSpace

92 works between 2008 and 2025

81 - 92 of 92 works

2012

Journal Article

Learning compact Markov logic networks with decision trees

Khosravi, Hassan, Schulte, Oliver, Hu, Jianfeng and Gao, Tianxiang (2012). Learning compact Markov logic networks with decision trees. Machine Learning, 89 (3), 257-277. doi: 10.1007/s10994-012-5307-6

Learning compact Markov logic networks with decision trees

2012

Journal Article

Learning directed relational models with recursive dependencies

Schulte, Oliver, Khosravi, Hassan and Man, Tong (2012). Learning directed relational models with recursive dependencies. Machine Learning, 89 (3), 299-316. doi: 10.1007/s10994-012-5308-5

Learning directed relational models with recursive dependencies

2012

Other Outputs

Directed models for statistical relational learning

Khosravi, Hassan (2012). Directed models for statistical relational learning. PhD Thesis, School of Computing Science, Simon Fraser University.

Directed models for statistical relational learning

2012

Journal Article

Learning graphical models for relational data via lattice search

Schulte, Oliver and Khosravi, Hassan (2012). Learning graphical models for relational data via lattice search. Machine Learning, 88 (3), 331-368. doi: 10.1007/s10994-012-5289-4

Learning graphical models for relational data via lattice search

2010

Journal Article

A social network model of investment behaviour in the stock market

Bakker, L., Hare, W., Khosravi, H. and Ramadanovic, B. (2010). A social network model of investment behaviour in the stock market. Physica A: Statistical Mechanics and its Applications, 389 (6), 1223-1229. doi: 10.1016/j.physa.2009.11.013

A social network model of investment behaviour in the stock market

2010

Conference Publication

A survey on statistical relational learning

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

A survey on statistical relational learning

2010

Conference Publication

The IMAP hybrid method for learning Gaussian bayes nets

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

The IMAP hybrid method for learning Gaussian bayes nets

2010

Conference Publication

Structure learning for Markov Logic Networks with many descriptive attributes

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

Structure learning for Markov Logic Networks with many descriptive attributes

2009

Conference Publication

A new hybrid method for bayesian network learning with dependency constraints

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

A new hybrid method for bayesian network learning with dependency constraints

2009

Conference Publication

Exploratory analysis of co-change graphs for code refactoring

Khosravi, Hassan and Colak, Recep (2009). Exploratory analysis of co-change graphs for code refactoring. 22nd Canadian Conference on Artificial Intelligence, Kelowna, Canada, 25-27 May 2009. Berlin, Heidelberg: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-01818-3_28

Exploratory analysis of co-change graphs for code refactoring

2009

Conference Publication

LNBC: A link-based naive bayes classifier

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

LNBC: A link-based naive bayes classifier

2008

Conference Publication

TACtic- a multi behavioral agent for trading agent competition

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

TACtic- a multi behavioral agent for trading agent competition

Funding

Current funding

  • 2021 - 2026
    ARC Training Centre for Information Resilience
    ARC Industrial Transformation Training Centres
    Open grant

Supervision

Availability

Dr Hassan Khosravi is:
Available for supervision

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Available projects

Supervision history

Current supervision

Completed supervision

Media

Enquiries

Contact Dr Hassan Khosravi directly for media enquiries about:

  • Computer science education
  • Data science
  • Databases
  • Educational data mining
  • Educational technologies
  • Learning analytics

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