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 databases (autonomous data cleaning and integration)
  • Spatial information science (spatial communication, retail analytics, cyber-physical-social systems, spatial recommender systems)
  • Spatial infrastructures (eResearch infrastructure in the spatial domain)

Personal webpage

http://www.tomko.org

Biography

I am a Lecturer in the discipline of Geomatics with research interests in the area of Spatial Information Science, urban structure and network analysis, spatial databases 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. Tomko, M.; Winter, S. Beyond digital twins - A commentary. Environment and Planning B: Urban Analytics and City Science. SAGE PUBLICATIONS LTD. 2019, Vol. 46, Issue 2, pp. 395-399. DOI: 10.1177/2399808318816992
  2. Tomko, M. Understanding indoor behavior: Where, what, with whom?. Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion. ACM Press. 2019, pp. 1455-1456. DOI: 10.1145/3041021.3051697
  3. 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
  4. Chen, H.; Vasardani, M.; Winter, S.; Tomko, M. A Graph Database Model for Knowledge Extracted from Place Descriptions. ISPRS International Journal of Geo-Information. MDPI. 2018, Vol. 7, Issue 6. DOI: 10.3390/ijgi7060221
  5. Chen, H.; Vasardani, M.; Winter, S.; Tomko, M. A Graph Database Model for Knowledge Extracted from Place Descriptions. . MDPI AG. 2018. DOI: 10.20944/preprints201804.0202.v1
  6. 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 SOC. 2018, Vol. 30, Issue 2, pp. 204-218. DOI: 10.1109/TKDE.2017.2766059
  7. Wang, Y.; Winter, S.; Tomko, M. Collaborative activity-based ridesharing. Journal of Transport Geography. ELSEVIER SCI LTD. 2018, Vol. 72, pp. 131-138. DOI: 10.1016/j.jtrangeo.2018.08.013
  8. Naghizade, E.; Chan, J.; Ren, Y.; Tomko, M. Contextual Location Imputation for Confined WiFi Trajectories. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INTERNATIONAL PUBLISHING AG. 2018, Vol. 10938, pp. 442-455. DOI: 10.1007/978-3-319-93037-4_35
  9. Hamzei, E.; Hua, H.; Tomko, M.; Chen, H.; Vasardani, M.; Winter, S. Deriving place graphs from spatial databases. CEUR Workshop Proceedings. 2018, Vol. 2087, pp. 25-32.
  10. Priyogi, B.; Sanderson, M.; Salim, F.; Chan, J.; Tomko, M.; Ren, Y. Identifying In-App User Actions from Mobile Web Logs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INTERNATIONAL PUBLISHING AG. 2018, Vol. 10938, pp. 300-311. DOI: 10.1007/978-3-319-93037-4_24
  11. Kaur, M.; Salim, FD.; Ren, Y.; Chan, J.; Tomko, M.; Sanderson, M. Shopping Intent Recognition and Location Prediction from Cyber-Physical Activities via Wi-Fi Logs. Proceedings of the 5th Conference on Systems for Built Environments - BuildSys '18. ASSOC COMPUTING MACHINERY. 2018, pp. 130-139. DOI: 10.1145/3276774.3276786
  12. Marshall, S.; Gil, J.; Kropf, K.; Tomko, M.; Figueiredo, L. Street Network Studies: from Networks to Models and their Representations. Networks and Spatial Economics. Springer Nature. 2018. DOI: 10.1007/s11067-018-9427-9
  13. 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. SPRINGEROPEN. 2018, Vol. 7, Issue 1. DOI: 10.1140/epjds/s13688-018-0147-7
  14. 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. SPRINGER HEIDELBERG. 2018, Vol. 7, Issue 1. DOI: 10.1140/epjds/s13688-017-0128-2
  15. 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. WILEY-BLACKWELL. 2017, Vol. 68, Issue 1, pp. 62-76. DOI: 10.1002/asi.23587
  16. 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 SCIENCE BV. 2017, Vol. 37, pp. 94-114. DOI: 10.1016/j.pmcj.2016.09.018
  17. Majic, I.; Winter, S.; Tomko, M. Finding equivalent keys in OpenStreetMap: Semantic similarity computation based on extensional definitions. Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery - GeoAI '17. ACM Press. 2017, pp. 24-32. DOI: 10.1145/3149808.3149813
  18. 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 (ACM). 2017, Vol. 9, Issue 1, pp. 19-26. DOI: 10.1145/3124104.3124109
  19. Zhao, H.; Winter, S.; Tomko, M. Integrating Decentralized Indoor Evacuation with Information Depositories in the Field. ISPRS International Journal of Geo-Information. MDPI. 2017, Vol. 6, Issue 7. DOI: 10.3390/ijgi6070213
  20. 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, pp. 1334-1358. DOI: 10.1080/13658816.2017.1287370

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