View the daily programs here

Please note that these schedules are subject to change.

Enabling Digital Twins
Technologies, standards and governance for a sustainable lifecycle  – 18 October 2022

This will be in person only 

*schedule subject to change





Morning session


Keynote sessions



Keynote 1- Wayne Patterson NSW Government



Keynote 2 – Qld– Cross River Rail



Keynote 3 – Ben Fox, Victoria Government



Keynote 4 – Industry Keynote: Digital Twins

Morning Tea

10:30- 11:00 am



Workshop sessions

11:00am- 12:30pm

Workshop 1:

  • Thomas Kolbe:  CityGML 3.0 concepts for Urban Digital Twins
  • Volker Coors: Urban Simulation
  • Tamrat Belayneh: Web-based Visualization and streaming

Workshop 2: Digital Twin for Infrastructure and Construction

  • John Holland (construction)
  • Dr Maria Rashidi (WSU)
  • Associate Professor Mohsen Kalantari (UNSW)

Workshop 3:

Colouring Cities

  • Polly Hudson, Alan Turing Institute
  • Dr Matt Ng, City Futures Research Centre, UNSW
  • Dr Henry Petersen, City Futures Research Centre, UNSW


12:30pm-1:30 pm



1:30pm - 

Workshop 4:

  • Morakot Pilouk: 3D Indoor modelling and navigation
  • Desislava Petrova-Antonova:  GATE project
  • Michael Rigby/Sisi Zlatanova:  Liveable Digital Twin  

Workshop 5:

Sydney Water/ Vodafone

  • Mott MacDonald (design)
  • Dr Johnson Shen (UNSW)
  • Dr Ali Kashani (UNSW)

Workshop 6:

Australian Housing Data Analytics Platform

  • Professor Chris Pettit
  • Associate Professor Hazel Easthope
  • Dr Henry Petersen


Afternoon tea






Facilitated Roundtable (Facilitated by Kate Williams, Frontier SI)

  • Professor Desislava Petrova-Antonova
  • Professor Volker Coors
  • Dr Thomas Kolbe
  • Dr Morakot Pilouk




Opening Drinks


Day 1 – 19 October 2022

Smart Cities & Smart Cities and Industry & Government

*schedule subject to change


8:00 am – 8:30am







Opening Ceremony

8:30am – 10:30am


8:30am – 8:45am

Welcome to Country

Welcome and housekeeping

8:45am – 9:15am

Keynote: Minister Victor Dominello

Minister for Customer Service, Digital Government, Small Business and Fair Trading

9:20am – 9:50am

Keynote: Professor Volker Coors

Stuttgart University

9:50am – 10:20am

Keynote: Professor Flora Salim

The Future of Urban Mobility Analytics “

10:20am- 10:30am

Q&A Panel

Morning Tea






Mid-morning session


Government & Planning in Smart Cities

Industry and Gov session 1


Academic Session 1

Smart data modelling and simulation 1

Academic Session 2

Smart data modelling and simulation 2


Australian Government Perspectives 

González-Collazo, S. M.; Balado, J.; González, E.; Lorenzo, H.; Díaz Vilariño, L., Defining the Functional Space of bus Stops from MLS Point Clouds


Lamas, D.; Justo, A.; Soilan, M.; Riveiro, B., 3D Point Cloud to BIM: Automated Application to Define IFC Alignment and Roadway Width Entities from MLS-Acquired LiDAR Data of Mountain Roads.


Wysocki, O.; Grilli, E.; Hoegner, L.; Stilla, U., Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification


Heeramaglore, M.; Kolbe, T. H., Semantically Enriched VOXELS as a Common Representation for Comparison and Evaluation of 3D Building Models

Pei, W.; Stouffs, R.; Biljecki, F., Dataset for Urban Scale Building Stock Modelling: Identification and Review of Potential Data Collection Approaches

Aleksandrov, M.; Barton, J.; Pettit, C.; Soundararaj, B.; Zlatanova, S., Towards a Virtual Planning Support Theatre for City Planning and Design

Beil, C.; Kendir, M.; Ruhdorfer, R.; Kolbe, T. H., Dynamic and Web-based 4D Visualization of Streetspace Activities Derived from Traffic Simulations and Semantic 3D City Models

Nguyen, S. H.; Kolbe, T. H., Path-tracing Semantic Networks to Interpret Changes in Semantic 3D City Models

11:30am – 12:00pm

Dr Ian Opperman - 
NSW Chief Data Scientist
Industry Professor, UTS



LandIQ Digital Planning Tools used at DPE
James Strutt





PEXA Digital Planning Tools




12:30pm – 1:30pm





Mid-afternoon session


Smart Cities in Action

Industry and Gov session 2


Academic session 3

Smart data modelling and simulation 3

Academic session 4

Smart data modelling and simulation 4



Deputy Secretary Kiersten Fishburn  

Strauss, E.; Bulatov, D., A Region-based Machine Learning Approach for Self-Diagnosis of a 4D Digital Thermal Twin


Krapf, S.; Willenborg, B.; Knoll, K.; Bruhse, M.; Kolbe, T. H., Deep Learning for Semantic 3D City Model Extension: Modeling Roof Superstructures Using Aerial Images for Solar Potential Analysis


Hijazi, I.; Donaubauer, A.; Hamm, A.; Falkenstein, A.; Kolbe, T. H., Urban Growth Simulation Using Urban Dynamics and Citygml: A Use Case from The City of xxx


Gautier, C.; Delanoy, J.; Gesquiere, G., Integrating Multimedia Documents in 3D City Models for a Better Understanding of Territories

Meijers, M., Pcserve – ND-Point Clouds Retrieval over the WEB


Jafary, P.; Shojaei, D.; Rajabifard, A.; Ngo, T., A Framework to Integrate BIM with Artificial Intelligence and Machine Learning-based Property Valuation Methods


Xie, Y.; Atazadeh, B.; Rajabifard, A.; Olfat, H., Automatic Modelling of Property Ownership in BIM


Liu, A. H.; Ellul, C., Quantifying Geometric Changes in BIM-GIS Conversion


Planning and Executing Your Smart City Campaign

- Brook Dixon, Managing Director, Delos Delta 


Operational and Sensor Technology Smart Cities vendor presentation best practices (Honeywell, TBC)

Afternoon tea







Afternoon session


Data-Driven Smart Cities Insights 

Industry and Gov session 3


Academic session 5

City and digital twins 1

Academic session 6

Smart data modelling and simulation 5


Building the Foundations for a Successful Digital Twin – 

Santhanavanich, T.; Padsala, R.; Würstle, P.; Coors, V., The Spatial Data Infrastructure of an Urban Digital Twin in the Building Energy Domain Using OGC Standards


Muñumer Herrero, E.; Ellul, C.; Cavazzi, S., Exploring Existing 3D Reconstruction Tools for the Generation of 3D City Models at Various LOD from a Single Data Source


Langenheim, N.; Sabri, S.; Chen, Y.; Kesmanis, A.; Felson, A.; Rajabifard, A.; Mueller, A.; Zhang, Y., Adapting a Digital Twin to Enable Real-time Water Sensitive Urban Design Decision-making


Alva, P; Biljecki, F.; Stouffs, R., Use Cases for District-scale Urban Digital Twins

Li, L.; Chen, K.; Luo, H., Parametric Modeling of Geological Cross Section for Shield Tunnel Design and Construction


Würstle, P.; Padsala, R.; Santhanavanich, T.; Coors, V., Viability Testing of Game Engine Usage for Visualization of Geospatial Standards


Schwab, B.; Kolbe, T. H., Towards Validating and Healing Parametric Road Space Models


Wang, M.; Wang, C. C.; Sepasgozar, S.; Zlatanova, S., A Time Efficient Quality Check Method Based on Laser Scanning for Installation of Prefabricated Wall Panels


Integrating sensor and third-party datasets to create meaningful smart city insights

Rakesh Patel, CTO & Founder, Site Lantern





Open City Data Panel

Chair – AURIN




Day 2 – 20 October 2022

PlanTech, Digital Planning tools, Digital Twins

*schedule subject to change

Opening registration






Session 1

Smart data modelling and simulation 6

Session 2

Climate changes and energies 1






Professor Nick Bailey
University of Glasgow


Smart data, quality and accessibility”

Hildebrand, J.; Schulz, S.; Richter, R.; Döllner, J., Simulating LiDAR to Create Training Data for Machine Learning on 3D Point Clouds


Homainejad, N.; Zlatanova, S.; Pfeifer, N.; M. E. Sepasgozar, S., Influence of VOXEL Size and VOXEL Connectivity on the 3D Modelling of Heathland Parameters in Australia


Yao, M.; Li, X.; Wang, W. X.; Xie, L.; Tang, S., Semantic Segmentation of Indoor 3D Point Cloud by Joint Optimization of Geometric Features AND Neural Networks


Atkinson, R.; Hunter, A.; Car, N.; Purss, M.; Cochrane, B., Roadmap for Interoperable 3D Data Models in OGC APIS and Other Data Exchange Approaches

Jia, J.; Zlatanova, S.; Zhang, K.; Liu, H., Integrated Stormwater Analysis Model to Support Sustainable Urban Green Space Design


Ignatius, M.; Xu, R.; Hou, Y.; Liang, X.; Chen, S.; Wong, N. H; Biljecki, F., Local Climate Zones: Lessons from Singapore and Potential Improvement with Street View Imagery


Teimouri, R.; Karuppannan, S.; Sivam, A.; Gu, N.; Bassiri Abyaneh, A., Investigation of Urban Green Space Accessibility in Adelaide Metropolitan Area Using Network Analyst


Oxoli, D.; Brovelli, M. A., Virtual Tools Ecosystem for Periurban Green Areas Monitoring and Promotion: Outcomes and Outlooks of the Insubriparks Project









Professor Mike Batty
University College London

Digital Twins and the Computable City”









Morning Tea





Mid-morning session


Session 3

Smart data modelling and simulation 7

Session 4

City and digital twin 2

Session 5

Smart data modelling and simulation 8

Session 6

Smart data modelling and simulation 9




11:00 am-11:30am




Colin, C.; Samuel, J.; Servigne, S.; Bortolaso, C.; Gesquiere, G., Creating Contextual View of CMMS Assets Using Geospatial 2D/3D Data


Aleksandrov, M.; Zlatanova, S.; Heslop, D., VOXEL Visualisation and Management Options in UNITY3D


Rottmann, P.; Haunert, J.; Dehbi, Y., Automatic Building Footprint extraction from 3D laserscans


Singh, A.; Kushwaha, S. K. P.; Nandy, S.; Padalia, H., Novel Approach for Forest Allometric Equation Modelling with RANSAC Shape Detection Using Terrestrial Laser Scanner

Diakité, A. A.; Ng, L.; Barton, J.; Rigby, M.; Williams, K.; Barr, S.; Zlatanova, S., Liveable City Digital Twin: A Pilot Project for the City of Liverpool (NSW, Australia)


Sabri, S.; Chen, Y.; Lim, D.; Zhang, Y.; Rajabifard, A., An Innovative Tool for Optimised Development Envelope Control (DEC) Analysis and Scenario Building in Digital Twin


Ellul, C., location-enabled Digital Twins - Challenges and Opportunities in a European Context


Khawte, S.; Koeva, M.; Gevaert, C. M.; Elberink, S. O.; Pedro, A. A., Digital Twin Creation for Slums in Brazil Based on UAV Data

Saldana-Perez, A. M. M.; Palma-Preciado, C.; Contreras-Jimenez, Y. Z.; Carillo-Garcia, N., Geovisualization Analysis of Gender Based Violence in Mexico City Using 3D Mapping Approach


Tomić, H.; Vučić, N.; Vranić, S.; Mastelić Ivić, S.; Paar, R.; Šantek, D., A Case Study of 3D Ownership Rights Registration as a Basis of Smart Urban Governance


Kada, M., 3D Reconstruction of Simple Buildings from Point Clouds using Neural Networks with Continuous Convolutions (ConvPoint)


Xie, R.; Zlatanova, .i; Lee, J. B., 3D Indoor-pedestrian Interaction in Emergencies: Review of Actual Evacuations and Simulation Models

Ishar, S. I.; Zlatanova, S.; Roberts, J. L., Automated 3D Modelling for Cultural Heritage: A Review


Taleai, M.; Mokhtari, M.; Zlatanova, S., 3D Based Smoke Emission of Fires and Emergency Evacuation Simulation in High-rise Buildings


La Guardia, M.; Koeva, M.; D'Ippolito, F.; Karam, S., 3D Data Integration for WEB Based Opensource WebGL Interactive Visualization


Jaud, Š.; Clemen, C.; Muhič, S.; Borrmann, A., Georeferencing in IFC: Meeting the Requirements of Infrastructure and Building Industries



11:30am- 12:00pm











12:30pm – 1:30pm




Mid-afternoon session


Session 7

Smart data modelling and simulation 10

Session 8

COVID-19 and pandemic

Session 9

Smart cities planning and design 1

Session 10

Smart data modelling and simulation 11


de Vries, J.; Atun, F.; Koeva, M. N., Assessing Potential Disruptions from Earthquakes in the Historical Peninsula in Istanbul Using 3D Modelling


Vitalis, S.; Arroyo O., K.; Stoter, J., Applying Versioning to Multi-LOD 3D City Models


Kushwaha, S. K. P.; Mokros, M.; Jain, K., Enrichment of UAV Photogrammetric Point Cloud to Enhance DSM in a Dense Urban Region


Emamgholian, S.; Pouliot, J.; Shojaei, D.; Losier, L. M., A Web-based Planning Permit Assessment Prototype: Proof of Feasibility

Lee, E.; Son, B.; Lee, J., Impacts of the COVID-19 Pandemic on Demand of Public Bike System and ITS Correlation with Urban Life


Zarbakhsh, N.; McArdle, G., Explainable Machine Learning Model FOR Urban Traffic Congestion During COVID-19 Using Human Mobility and Street-Waste Features


Veisi, O.; Mohammadi, M.; Behnamifard, F., Using Remote Sensing and Big Data to Analysis Direct Solar Radiation Impacts on the Spread of Covid-19 (Case Studies: Six States of the United States)


Sonam, F.; Laefer, D. F., 3D Enablement of Place-based Pandemic Behaviors

Karayazi, S. S.; Dane, G.; Arentze, T., Spatial Interactions between Urban Heritages and Tourist Patterns in Amsterdam: Mining of Geotagged Flickr Data via Network and Text Mining Analysis


Anugraha, A. S.; Erdiza, H. P.; Apriyadi, D.; Aguscandra, B., Integration of Geospatial and Citizen Participation Using Geographic Information System for Smart City: A Study of Priority Villages Program in Jakarta, Indonesia


Karamitov, K.; Petrova-Antonova, D., Pedestrian Accessibility Assesment Using Spatial and Network Analysis: A Case of Sofia City


Rodriguez Antuñano, I.; Martínez Sánchez, J.; Lagüela López, S.; Riveiro Rodríguez, B., Towards More Resilient Smart Cities: MT-InSAR Monitoring of Urban Infrastructure Using Machine Learning Techniques

Marnat, L.; Gautier, C.; Colin, C.; Gesquière, G., Py3DTilers: An Open Source Toolkit for Creating and Managing 2D/3D Geospatial Data


Praharaj, S.; Wentz, E., Building Community Resilience through Geospatial Information Dashboards


Pritipadmaja; Garg, R. D., Evaluating the Impact of Climate Change on the Urban Environment Using Geospatial Technologies in Bhubaneswar, India


Alfakhori, M.; Coors, V.; Schneider, S.; Dastageeri, H., Occlusion Screening Using 3D City Models as a Reference Database for Mobile AR-applications














Afternoon Tea





Afternoon session



Session 11

Smart cities planning and design 2

Session 12

Climate changes and energies 2

Session 13

Smart remote sensing





Scott Butterworth
Chief Data Analytics Officer, PEXA

Montilla, Y. M.; Leon Sanchez, C.; Lizarazo Salcedo, I., Design and Implementation of an Indoor Navigation System for Visually Impaired Users


Chen, Z.; Pouliot, J.; Hubert, F., Task Decomposition and Level of Complexity to Select the Content of Underground Utility Network Model


Abdul Muthalif, M. Z.; Shojaei, D.; Khoshelham, K., Augmented Reality Visualization Methods for Subsurface Utilities


Verma, R.; Zawadzka, J.; Garg, P. K., Insights to 11 Smart Cities of Uttar Pradesh, India through Spatial Pattern Analysis of Land Use/ Land Cover

Leon Sanchez, C.; Agugiaro, G.; Stoter, J., Development of a CITYGML-based 3D City Model Testbed for Energy-related Applications

Tufan, Ö.; Arroyo Ohori, K.; Leon Sanchez, C.; Agugiaro, G.; Stoter, J., Development and Testing of the CITYJSON Energy Extension for Space Heating Demand Calculation


Agugiaro, G.; Zwamborn, A.; Tigchelaar, C.; Matthijssen, E.; León Sánchez, C.; van der Molen, F.; Stoter, J, On the Influence of Party Walls for Urban Energy Modelling


Thuvander, L.; Somanath, S.; Hollberg, A., Procedural Digital Twin Generation for Co-creating in VR Focusing on Green Structures

Lokugam Hewage, C. N.; Vu Vo, A.; Bertolotto, M.; Laefer, D.; An Le Khac, N., 4SA: Optimizing Space Filling Curve Based Grid Cell Indexing to Scalably Manage Remotely Sensed Images in Key-value Databases


Yagoub, M. M.; Al Hosani, N.; Alshehhi, A.; Aldhanhani, S.; Albedwawi, S., Remote Sensing and GIS for Food Banks


Prabhakar, D.; Garg, P. K., Automatic Shadow Detection for High-resolution Remote Sensing Data


Hu, W.; Winter, S.; Khoshelham, K., Optimizing Urban Monitoring between Stationary, Opportunistic Vehicular, and Hybrid Sensing















Gala Dinner



Hon. Minister Rob Stokes
Minister for Cities, Infrastructure and Active Transport

Day 3 – 21 October 2022

Smart Transport and Infrastructure

*schedule subject to change

Opening Registration







Morning session



Session 1

Smart data modeling and simulation 12

Session 2

Smart cities planning and design 3

Session 3

Smart cities planning and design 4



Professor Debra Laefer
New York University

Accelerating AI advances in LiDAR – overcoming today’s obstacles”

Leplat, L.; Torres, R. d. S.; Aspen, D. M.; Amundsen, A., Vizplan: A Visual Analytics Platform for the Assessment of Multidimensional Indicators over Time


Roper, J.; Hudson, P.; Petersen, H.; Pettit, C.; Russell, T.; Ng, M., Colouring Australia: A Participatory Open Data Platform


Xu, H.; Wang, C. C.; Shen, X.; Zlatanova, S., Evaluating the Performance of High Level-of-Detail Tree Models in Microclimate Simulation

Das, I.; Praharaj, S., Public Spaces Under the Smart Cities Paradigm in India

Osu, T.; Navarra, D., Development of a Data Governance Framework for Smart Cities


Inoue, T.; Manabe, R.; Murayama, A.; Koizumi, H., The Effect of Culture-specific Differences in Urban Streetscapes on the Inference Accuracy of Deep Learning Models

Jahn, M. W.; Kuper, P. V.; Breunig, M., Efficient Spatio-temporal Modelling to Enable Topological Analysis


Saeidian, B.; Rajabifard, A.; Atazadeh, B.; Kalantari, M.¸Extending CITYGML 3.0 to Support 3D Underground Land Administration


Waseem, M. A.; Basheer, M. A.; Tahir, M.; Uppal, M. A., Estimating Spatio-Temporal Urban Development Using AI









Morning Tea






Mid-Morning session


Session 4

Smart cities planning and design 5

Session 5

Smart Transportation 1

Session 6

Digital twin special session



Wang, T.; Wan, L., A Novel Use of Latent Class Modelling to Understand the Heterogeneity of Urban Land Use Efficiency in China


Rahman, A.; Usama, M.; Tahir, M.; Uppal, M., Data Driven Framework for Analysis of Air Quality Landscape for the City of Lahore


Basheer, M. A.; Waseem, M. A., Spatiotemporal Analysis of Urban Growth and Land Surface Temperature: A Case Study of Lahore, Pakistan


KIM, H. JO, S. LEEM, Y. LEE, S., Analysis on the Evolutionary Characteristics of Industrial DNA from Smart City Perspectives in South Korea

Xu, Y.; Ma, X.; Pan, M.; Jiang, K., A Two-stage Simulation Approach of Urban Transport Emission Evaluation towards Carbon Peak: A Case Study in Suzhou, China


Pantazis, D.; Argyrakis, P.; Moussas, V.; Geroulis, G.; Christina Daveronna, A.; Stergiou, C.; Voyiatzis, I.; Aposporis, P., Smart Transport for Smart Cities: A Futuristic Scenario and a Realistic Project


Osaragi, T.; Miyashita, H., Evaluation of Time LOSS due to Uneven Distribution of Railway Passengers Getting on and off





Knezevic, M.; Donaubauer, A.; Moshrefzadeh, M.; Beil, C.; Willenborg, B.; Kolbe, T. H., Managing Urban Digital Twins with an Extended Catalog Service


Oti-Sarpong, K.; Bastidas Melo, V. A.; Nochta, T.; Wan, L.; Tang, J.; Schooling, J., A Social Construction of Technology View for Understanding the Delivery of City-scale Digital Twins





12:30pm – 1:30pm





Mid afternoon session



Session 7

Smart cities planning and design 6

Session 8

Smart cities planning and design 7



Prof Sugie Lee,
Hanyang University, Seoul Korea

Ivaria, N. E.; Wachowicz, M.; Williams, P. A. H.; Agnew, T., Discovering Clustering Patterns from E-counter Data Streams


Al Mosuli, B. S. T.; Allan, A., Planning for Legacy - A Cost Effective and Sustainable Approach. Case Study: Dubai EXPO 2020


Sun, C.; Wang, K.; Tao, Y., iHVI: An Open-source Toolkit for Constructing Integrated Heat Vulnerability Index in Australia

Ma, B.; Yan, J., A Theoretical Path Computation Model for Rectangular Rigid-bodies Entering an Entrance


Gaw, L. Y.-F.; Chen, S.; Chow, Y. S.; Lee, K.; Biljecki, F., Comparing Street View Imagery and Aerial Perspectives in the Built Environment


Zhang, Z.; Song, Y.; Luo, P.; Wu, P., Earth Observation for Land Cover and Human-Environment Interactions






Afternoon Tea








Afternoon session


Session 9

Smart Transportation 2

Session 10

Smart Transportation 3

Session 11

Smart cities planning and design 8



Lai, Y; Lin, J.; Zhang, Z.; Zhu, H.; Narsilio, G.; Tomko, M.; Jowett, K. J., Testing Ground Conditions for Effective Buried Sensor Wireless LORAWAN Signal Transmission


Dunne, L.; McArdle, G., A Large scale method for extracting Geographical Features of Bus Routes to Assess their Impact on Bus Speed and Reliability


Lu, Y.; Laffan, S.; Pettit, C., The Integration of Cellular Automata and What if? for Scenario Planning: Future Residential Expansion in the City of Ipswich

Harshit, H.; Kushwaha, S. K. P.; Jain, K., Geometric Features Interpretation of Photogrammetric Point Cloud from Unmanned Aerial Vehicle


Abdul Rahman, M.; Aamir Basheer, M.; Khalid, Z.; Tahir, M.; Uppal, M., Last Mile Logistics: Impact of Unstructured Addresses on Delivery Times

Bokhari, A., Eco-parking for Electrical Vehicle: Model Design and Future for Smart City

White, M.; Huang, X.; Langenheim, N.; Schofield, R.; Livesley, S.; Stevenson, M.; Seneviratne, S., Why are People still not Walking? The Need for a Micro-scaled Multi-criteria Spatio-temporal Design Approach to Improve Walk-quality


Merchan Zorro, L.; Vivas Meza, A. A.; Bautista Acosta, O. D.; Castro Barrera, H. E.; Peña Bastidas, J. R.; Guzman Garcia, L. A.; Hernandez Peñaloza, J. T., A Spatio-temporal Visual Analytics Tool for Simulated Transport Oriented-land Use Urban Planning Data


Kumalasari, D.; Koeva, M.; Vahdatikhaki, F.; Petrova-Antova, D., Generative Design for Walkable Cities: A Case Study of Sofia




Closing remarks


The Smart Cities and Smart Data Conference is coming to Sydney on the 18th – 21st of October. With many international academic delegates flying in for the event, you don’t want to miss this opportunity to hear from some of the world’s leading academics. To help make this happen a half day PhD symposium and poster competition will be held on the 18th of October, the day before the main conference starts allowing local and international PhD students to discuss their work with each other and specially invited academic mentors.

Deadlines and requirements are as follows:

  • 15th August – 16th September (or until tickets are sold out): Submit a title for the work you want to share on the day, along with a 100-word abstract and a brief description of your field of expertise. it’s okay if your topic changes – just give us a rough outline. Payment for the event is to be made on submission ($26.88) along with abstract details. The Symposium will be capped at 30 participants so be sure to get in quick.
  • 23rd September: Notification of your assigned group (along with abstracts) and academic mentor.
  • 7th October: Submit a digital version of your poster. Poster requirements are outlined here.
  • 18th October: Arrive at UNSW with a printed copy of your poster ready to present to your group. Each person will be given 10 minutes to present and 10 minutes for discussion and feedback.
  • 19th-21st October: Posters will be displayed in the foyer throughout the main conference. You are invited to buy a separate ticket to attend the conference at a discounted student rate.
  • 21st October: Poster award winner ($100 first place, $50 each of two runners up) announced at conference close.
Poster Guidelines

The schedule for the symposium will be as follows:



9:30am – 10:45am

Small group presentations

10:45am – 11:00am

Break (morning tea included)

11:00am – 12:15pm

Small group presentations

12:15pm – 1:00pm

Panel discussion with invited academics

1:00pm onwards

Social lunch and drinks at Regent Hotel (food and drink not included in registration)


The symposium is open to all international and domestic research candidates (Masters and PhD) whose research is interested in city analytics, GIS, digital twins, smart cities and data science and/or their impacts on society, city management or urban planning. We hope to make the most of this opportunity to meet in person and on behalf of the conference committee, we look forward to welcoming you all to UNSW.

Please forward any questions about the event to: Claire Daniel (PhD representative to the conference committee) at