Dr Martin Tomko

  • Room: Level: 03 Room: B304
  • Building: Engineering Block B
  • Campus: Parkville

Research interests

  • Geographic Information Retrieval (annotation, search and retrieval, and ranking of spatially related data)
  • Spatial analytics (mobility analytics, spatial machine learning and AI)
  • Spatial data integration (spatial databases, spatial data quality)
  • Spatial information science (spatial communication, retail analytics, cyber-physical-social systems, spatial recommender systems)
  • Spatial infrastructures (eResearch infrastructure in the spatial domain)

Personal webpage



I am a Lecturer in the discipline of Geomatics with research interests in the area of Spatial Information Science, spatial network analysis, urban structure analysis and geographic information retrieval. My research thus contributes to numerous areas of spatial cognitive engineering.  I have a broad experience in design, implementation and management of the technical aspects of large-scale geospatial infrastructures and data handling, such as the design and implementation of a strategic Australian eResearch portal AURIN - The Australian Urban Research Infrastructure Network's flagship product.

Recent publications

  1. Adams B, Tomko M. A critical look at cryptogovernance of the real world: Challenges for spatial representation and uncertainty on the blockchain. Leibniz International Proceedings in Informatics, LIPIcs. 2018, Vol. 114. DOI: 10.4230/LIPIcs.GIScience.2018.18
  2. Chen H, Vasardani M, Winter S, Tomko M. A Graph Database Model for Knowledge Extracted from Place Descriptions. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 2018, Vol. 7, Issue 6. DOI: 10.3390/ijgi7060221
  3. Ren Y, Tomko M, Salim FD, Chan J, Clarke CLA, Sanderson M. A Location-Query-Browse Graph for Contextual Recommendation. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. IEEE Computer Society. 2018, Vol. 30, Issue 2. DOI: 10.1109/TKDE.2017.2766059
  4. Wang Y, Winter S, Tomko M. Collaborative activity-based ridesharing. Journal of Transport Geography. Pergamon. 2018, Vol. 72. DOI: 10.1016/j.jtrangeo.2018.08.013
  5. Naghi Zadeh Kakhki E, Chan J, Ren Y, Tomko M. Contextual Location Imputation for Confined WiFi Trajectories. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Springer Verlag. 2018, Vol. 10938. Editors: Phung D, Tseng VS, Webb GI, Ho B, Ganji M, Rashidi L. DOI: 10.1007/978-3-319-93037-4_35
  6. Hamzei E, Hua H, Tomko M, Chen H, Vasardani M, Winter S. Deriving place graphs from spatial databases. CEUR Workshop Proceedings. Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V. 2018, Vol. 2087.
  7. Priyogi B, Sanderson M, Salim F, Chan J, Tomko M, Ren Y. Identifying In-App User Actions from Mobile Web Logs. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Springer Verlag. 2018, Vol. 10938. Editors: Phung D, Tseng VS, Webb GI, Ho B, Ganji M, Rashidi L. DOI: 10.1007/978-3-319-93037-4_24
  8. Scherrer L, Tomko M, Ranacher P, Weibel R. Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth. EPJ DATA SCIENCE. 2018, Vol. 7, Issue 1. DOI: 10.1140/epjds/s13688-018-0147-7
  9. Ren Y, Tomko M, Salim FD, Chan J, Sanderson M. Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ DATA SCIENCE. Dr Dietrich Steinkopff Verlag. 2018, Vol. 7. DOI: 10.1140/epjds/s13688-017-0128-2
  10. Ren Y, Tomko M, Salim FD, Ong K, Sanderson M. Analyzing Web Behavior in Indoor Retail Spaces. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY. John Wiley & Sons. 2017, Vol. 68, Issue 1. DOI: 10.1002/asi.23587
  11. Ren Y, Salim FD, Tomko M, Bai YB, Chan J, Qin KK, Sanderson M. D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. PERVASIVE AND MOBILE COMPUTING. Elsevier. 2017, Vol. 37. DOI: 10.1016/j.pmcj.2016.09.018
  12. Majic I, Winter S, Tomko M. Finding equivalent keys in OpenStreetMap: Semantic similarity computation based on extensional definitions. Proceedings of the 1st Workshop on GeoAI: AI and Deep Learning for Geographic Knowledge Discovery, GeoAI 2017. 2017. DOI: 10.1145/3149808.3149813
  13. Winter S, Tomko M, Vasardani M, Richter K-F, Khoshelham K. Indoor localization and navigation independent of sensor based technologies. SIGSPATIAL Special. Association for Computing Machinery. 2017, Vol. 9, Issue 1. DOI: 10.1145/3124104.3124109
  14. Zhao H, Winter S, Tomko M. Integrating Decentralized Indoor Evacuation with Information Depositories in the Field. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. MDPI AG. 2017, Vol. 6, Issue 7. DOI: 10.3390/ijgi6070213
  15. Maguire S, Tomko M. Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE. Taylor & Francis Ltd. 2017, Vol. 31, Issue 7. DOI: 10.1080/13658816.2017.1287370

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