Alfred Krzywicki

Dr Alfred Krzywicki

Lecturer

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

I am a lecturer at the University of Adelaide, School of Computer and Mathematical Sciences (CMS). I obtained my PhD in 2012 from the University of New South Wales, Sydney in the area of natural language processing and personal agents. Until 2019 I worked as a Research Fellow at UNSW on research related to recommendation systems, natural language processing and pattern mining. Research projects were funded by industry and research institutions, including Fairfax Digital, Data to Decision CRC and Rich Data Corporation, and included both commercial and research outcomes.
From 2020 I started my teaching career, first at the University of New South Wales, currently at the University of Adelaide.in teaching, I use my research and industry experience to inspire and students and prepare them for their future career.
Before joining academia, I worked as senior Software Engineer and consultant in a high volume transaction processing environment.

My research interests include Natural Language Processing, recommendation systems and pattern mining, and combination of the above. For example, using NLP for discovering item and user similarity in recommendation systems.

My recent publication with collaboration with UNSW Sydney, was on sequential pattern mining in financial data.

  • Journals
    Year Citation
    2022 Krzywicki, A., Muchlinski, D., Goldsmith, B. E., & Sowmya, A. (2022). From academia to policy makers: a methodology for real-time forecasting of infrequent events. Journal of Computational Social Science, 5(2), 1489-1510.
    DOI WoS1
    2022 Krzywicki, A., & Wobcke, W. (2022). Empirical software engineering for evaluating adaptive task-oriented personal assistants: a case study in human/machine event extraction and coding. International Journal of Agent-Oriented Software Engineering, 7(2), 184.
    DOI
    2016 Krzywicki, A., Wobcke, W., Bain, M., Calvo Martinez, J., & Compton, P. (2016). Data mining for building knowledge bases: Techniques, architectures and applications. Knowledge Engineering Review, 31(2), 97-123.
    DOI Scopus9
    2015 Krzywicki, A., Wobcke, W., Kim, Y. S., Cai, X., Bain, M., Mahidadia, A., & Compton, P. (2015). Collaborative filtering for people-to-people recommendation in online dating: Data analysis and user trial. International Journal of Human Computer Studies, 76, 50-66.
    DOI Scopus30
    2015 Wobcke, W., Krzywicki, A., Kim, Y. S., Cai, X., Bain, M., Compton, P., & Mahidadia, A. (2015). A Deployed People‐to‐People Recommender System in Online Dating. AI Magazine, 36(3), 5-18.
    DOI
    2014 Heap, B., Krzywicki, A., Wobcke, W., Bain, M., & Compton, P. (2014). Combining career progression and profile matching in a job recommender system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8862, 396-408.
    DOI Scopus16
    2008 Krzywicki, A., & Wobcke, W. (2008). Closed pattern mining for the discovery of user preferences in a calendar assistant. Studies in Computational Intelligence, 134, 67-76.
    DOI Scopus3

  • Conference Papers
    Year Citation
    2023 Krzywicki, A., Mahidadia, A., & Bain, M. (2023). Discovering Periodicity in Locally Repeating Patterns. In Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022 (pp. 10 pages). Online: IEEE.
    DOI
    2022 Abdullah-Vetter, Z., Dwivedi, P., Buratti, Y., Krzywicki, A., Sowmya, A., Trupke, T., & Hameiri, Z. (2022). Automated Analysis of Internal Quantum Efficiency Using Chain Order Regression. In 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC) Vol. 2022-June (pp. 476-478). Philadelpia, PA, USA: IEEE.
    DOI
    2018 Krzywicki, A., Heap, B., Bain, M., Wobcke, W., & Schmeidl, S. (2018). Using word embeddings with linear models for short text classification. In T. Mitrovic, B. Xue, & X. Li (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 (pp. 819-827). Wellington, New Zealand: Springer International Publishing.
    DOI
    2018 Krzywicki, A., Wobcke, W., Bain, M., Schmeidl, S., & Heap, B. (2018). A knowledge acquisition method for event extraction and coding based on deep patterns. In K. Yoshida, & M. Lee (Eds.), Knowledge Management and Aquisition for Intellegent Systems. PKAW 2018 Vol. 11016 (pp. 16-31). Nanjing, China: Springer International Publishing.
    DOI Scopus1
    2017 Heap, B., Krzywicki, A., Schmeidl, S., Wobcke, W., & Bain, M. (2017). A joint human/machine process for coding events and conflict drivers. In G. Cong, W. -C. Peng, W. E. Zhang, C. Li, & A. Sun (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10604 LNAI (pp. 639-654). Singapore: Springer International Publishing.
    DOI Scopus4
    2014 Krzywicki, A., Wobcke, W., Kim, Y. S., Cai, X., Bain, M., Compton, P., & Mahidadia, A. (2014). Evaluation and deployment of a people-to-peopie recommender in online dating. In Proceedings of the National Conference on Artificial Intelligence Vol. 4 (pp. 2914-2921).
    Scopus1
    2013 Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y. S., Compton, P., & Mahidadia, A. (2013). ProCF: Probabilistic collaborative filtering for reciprocal recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7819 LNAI (pp. 1-12). Springer Berlin Heidelberg.
    DOI Scopus4
    2012 Krzywicki, A., Wobcke, W., Cai, X., Bain, M., Mahidadia, A., Compton, P., & Kim, Y. S. (2012). Using a critic to promote less popular candidates in a people-to-people recommender system. In Proceedings of the National Conference on Artificial Intelligence Vol. 3 (pp. 2305-2310).
    Scopus3
    2012 Kim, Y. S., Krzywicki, A., Wobcke, W., Mahidadia, A., Compton, P., Cai, X., & Bain, M. (2012). Hybrid techniques to address cold start problems for people to people recommendation in social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7458 LNAI (pp. 206-217). Springer Berlin Heidelberg.
    DOI Scopus8
    2012 Kim, Y. S., Mahidadia, A., Compton, P., Krzywicki, A., Wobcke, W., Cai, X., & Bain, M. (2012). People-to-people recommendation using multiple compatible subgroups. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7691 LNAI (pp. 61-72). Springer Berlin Heidelberg.
    DOI Scopus6
    2012 Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y. S., Compton, P., & Mahidadia, A. (2012). Reciprocal and heterogeneous link prediction in social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7301 LNAI (pp. 193-204). Springer Berlin Heidelberg.
    DOI Scopus15
    2011 Krzywicki, A., & Wobcke, W. (2011). Exploiting concept clumping for efficient incremental news article categorization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7120 LNAI (pp. 353-366). Springer Berlin Heidelberg.
    DOI Scopus1
    2011 Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y. S., Compton, P., & Mahidadia, A. (2011). Learning to make social recommendations: A model-based approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 7121 LNAI (pp. 124-137). Springer Berlin Heidelberg.
    DOI Scopus5
    2010 Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y. S., Compton, P., & Mahidadia, A. (2010). Learning collaborative filtering and its application to people to people recommendation in social networks. In Proceedings - IEEE International Conference on Data Mining, ICDM (pp. 743-748). IEEE.
    DOI Scopus26
    2010 Kim, Y. S., Mahidadia, A., Compton, P., Krzywicki, A., Wobcke, W., Bain, M., & Cai, X. (2010). Automated recommendation rule acquisition for two-way interaction-based social network web sites. In CEUR Workshop Proceedings Vol. 674.
    2010 Krzywicki, A., Wobcke, W., & Wong, A. (2010). An adaptive calendar assistant using pattern mining for user preference modelling. In International Conference on Intelligent User Interfaces, Proceedings IUI (pp. 71-80). ACM.
    DOI Scopus3
    2010 Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y. S., Compton, P., & Mahidadia, A. (2010). Collaborative filtering for people to people recommendation in social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6464 LNAI (pp. 476-485). Springer Berlin Heidelberg.
    DOI Scopus92
    2010 Kim, Y. S., Mahidadia, A., Compton, P., Cai, X., Bain, M., Krzywicki, A., & Wobcke, W. (2010). People recommendation based on aggregated bidirectional intentions in social network site. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6232 LNAI (pp. 247-260). Springer Berlin Heidelberg.
    DOI Scopus16
    2010 Krzywicki, A., & Wobcke, W. (2010). Exploiting concept clumping for efficient incremental e-mail categorization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6441 LNAI (pp. 244-258). Springer Berlin Heidelberg.
    DOI Scopus5
    2010 Krzywicki, A., Wobcke, W., Cai, X., Mahidadia, A., Bain, M., Compton, P., & Kim, Y. S. (2010). Interaction-based collaborative filtering methods for recommendation in online dating. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 6488 LNCS (pp. 342-356). Springer Berlin Heidelberg.
    DOI Scopus27
    2009 Krzywicki, A., & Wobcke, W. (2009). Incremental e-mail classification and rule suggestion using simple term statistics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5866 LNAI (pp. 250-259). Springer Berlin Heidelberg.
    DOI Scopus6
    2008 Wobcke, W., Krzywicki, A., & Chan, Y. W. (2008). A large-scale evaluation of an e-mail management assistant. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 (pp. 438-442). IEEE.
    DOI Scopus4
    2007 Wobcke, W., Nguyen, A., Ho, V., & Krzywicki, A. (2007). The smart personal assistant: An overview. In AAAI Spring Symposium - Technical Report Vol. SS-07-04 (pp. 135-136).
    Scopus6
    2005 Wobcke, W., Ho, V., Nguyen, A., & Krzywicki, A. (2005). A BDI agent architecture for dialogue modelling and coordination in a smart personal assistant. In Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05 Vol. 2005 (pp. 323-329). IEEE.
    DOI Scopus14

At the University of Adelaide I teach a number of AI courses:

  1. Machine Learning
  2. Natural Language Processing
  3. Data Mining

I also coordinate research and industry projects for Master of AI and Machine Learning.

  • Other Supervision Activities
    Date Role Research Topic Location Program Supervision Type Student Load Student Name
    2020 - 2021 Co-Supervisor Evaluating the Relationship Between Military Interventions and Lasting Peace UNSW Sydney Bachelor of Engineering in Engineering (Honours)/Arts Honours Full Time Nicholas Richard Peter Bosworth
    2020 - 2021 Co-Supervisor Assessing The Effect Of International Relations On The Occurrence Of Targeted Mass Killing Events UNSW Sydney Bachelor of Engineering in Computer Engineering Honours Full Time Jaiki Pitt
    2020 - 2021 Co-Supervisor Investigating the Effectiveness of Deep Learning Techniques in Forecasting Targeted Mass Killings UNSW Sydney Bachelor of Software Engineering Honours Full Time Nicolas Blackburn
    2019 - 2019 Co-Supervisor Forecasting the Onset of Genocidal Killing UNSW Sydney Bachelor of Engineering in Software Engineering Honours Full Time Eric Qian

  • Memberships
    Date Role Membership Country
    2023 - ongoing Member Association for Computational Linguistics Australia
    2013 - ongoing Member Association for Computing Machinery Australia
  • Position: Lecturer
  • Phone: 83131103
  • Email: alfred.krzywicki@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor Level Four
  • Room: 4.37
  • Org Unit: Computer Science
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