Professor Lars Kulik

Research interests

  • Sensor Networks, Mobile Computing, Location Privacy, Spatial Algorithms, Spatial Data Mining

Personal webpage


I am a Professor in the School of Computing and Information Systems at the University of Melbourne. I lead the Data & Society Program of the Melbourne School of Engineering. From 2013 to 2015, I was Deputy Head of the department. My overall research goal is to integrate spatial information into pervasive computing systems that anticipate, adapt and respond to the needs of users, and provide services based on the user's location and context. My research focuses on spatial algorithms in pervasive computing environments, efficient algorithms for moving object databases, fast search techniques for spatial data mining and databases, effective methods for safeguarding data privacy, information dissemination algorithms in sensor networks, algorithms for navigation and map matching, as well as robust methods that can cope with uncertainty, especially in the context of mobile computing. I serve on the editorial board of the journal GeoInformatica and the Journal of Location-based Services. Before joining the University of Melbourne in 2004, I was an associate graduate faculty researcher in the Department of Spatial Information Science and Engineering, University of Maine. I completed my PhD in the Department of Informatics at the University of Hamburg, Germany, in 2002.

Recent publications

  1. Hashem T, Kulik L, Kotagiri R, Zhang R, Soma SC. Protecting privacy for distance and rank based group nearest neighbor queries. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS. Springer. 2019, Vol. 22, Issue 1. DOI: 10.1007/s11280-018-0570-5
  2. Correa O, Kulik L, Tanin E, Kotagiri R. Activity-based ride-sharing in action. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. 2018. DOI: 10.1145/3274895.3274991
  3. Mirmomeni M, Kowsar Y, Kulik L, Bailey J. An automated matrix profile for mining consecutive repeats in time series. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2018, Vol. 11013 LNAI. DOI: 10.1007/978-3-319-97310-4_22
  4. Saha RR, Hashem T, Shahriar T, Kulik L. Continuous obstructed detour queries. Leibniz International Proceedings in Informatics, LIPIcs. 2018, Vol. 114. DOI: 10.4230/LIPIcs.GIScience.2018.14
  5. Khan A, Kulik L, Tanin E, Hua H, Hashem T. Efficient Computation of the Optimal Accessible Location for a Group of Mobile Agents. ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS. Association for Computing Machinery Inc.. 2018, Vol. 4, Issue 4. DOI: 10.1145/3239124
  6. Xu Y, Qi J, Borovica-Gajic R, Kulik L. Finding all nearest neighbors with a single graph traversal. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2018, Vol. 10827 LNCS. DOI: 10.1007/978-3-319-91452-7_15
  7. Ghane S, Kulik L, Kotagiri R. Publishing spatial histograms under differential privacy. ACM International Conference Proceeding Series. 2018. DOI: 10.1145/3221269.3223039
  8. Maiti S, Winter S, Kulik L. A conceptualization of vehicle platoons and platoon operations. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES. Pergamon-Elsevier Science. 2017, Vol. 80. DOI: 10.1016/j.trc.2017.04.005
  9. Naderivesal S, Kulik L, Bailey J. A fast and accurate index structure for spatiotemporal trajectories. ACM International Conference Proceeding Series. 2017. DOI: 10.1145/3144457.3144497
  10. Xie H, Karunasekera S, Kulik L, Tanin E, Zhang R, Kotagiri R. A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. 2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING). IEEE. 2017, Vol. 2017-June. DOI: 10.1109/VTCSpring.2017.8108282
  11. Naghi Zadeh Kakhki E, Bailey J, Kulik L, Tanin E. Challenges of differentially private release of data under an open-world assumption. ACM International Conference Proceeding Series. 2017, Vol. Part F128636. DOI: 10.1145/3085504.3085531
  12. Liang Z, Liu W, Ploderer B, Bailey J, Kulik L, Li Y. Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data. 7th International Symposium on Artificial Intelligence (ISAI). Springer Verlag. 2017, Vol. 10091. Editors: Otake M, Kurahashi S, Ota Y, Satoh K, Bekki D. DOI: 10.1007/978-3-319-50953-2_25
  13. Correa O, Kotagiri R, Tanin E, Kulik L. From ride-sourcing to ride-sharing through hot-spots. 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous). 2017. DOI: 10.1145/3144457.3144483
  14. Rahman Khan AKMM, Correa O, Tanin E, Kulik L, Kotagiri R. Ride-sharing is About Agreeing on a Destination. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. 2017, Vol. 2017-November. DOI: 10.1145/3139958.3139972
  15. Kotagiri R, Xie H, Kulik L, Karunasekera S, Tanin E, Zhang R, Bin Khunayn E. SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY. ACM Press. 2017, Vol. 8, Issue 2. DOI: 10.1145/2898363

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile