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Professor Mark Hickman

Affiliate of Dow Centre for Sustain
Dow Centre for Sustainable Engineering Innovation
Faculty of Engineering, Architecture and Information Technology
Deputy Head of School of Civil Engi
School of Civil Engineering
Faculty of Engineering, Architecture and Information Technology
Professor & Chair of Transport Eng
School of Civil Engineering
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
Media expert

Dr. Mark Hickman is the TAP Chair and Professor of Transport Engineering within the School of Civil Engineering at the University of Queensland. Prof. Hickman has taught courses and performed research in public transit planning and operations, travel demand modelling, and traffic engineering. His areas of research interest and expertise include public transit planning and operations, urban transportation planning and modelling, and the development of sustainable transport innovations and policies.

Mark Hickman
Mark Hickman

Professor Yan Liu

Professor
School of the Environment
Faculty of Science
Availability:
Available for supervision
Media expert

Professor Yan Liu is a Spatial Data Scientist and a Quantitative Human Geographer, specialising in Geographical Information Science (GIS), urban modelling and geo-simulation, spatial data analytics, and spatially integrated social studies. Her research focuses on developing cutting-edge methods for the collection, analysis and modelling of spatial data in order to provide science-based decision tools and data-driven solutions to a range of social-environmental challenges that we face in our urban and regional space. Her research is multidisciplinary in nature, connecting human geography with geomatic engineering, environmental, social and behavioural sciences and spatial science education through the innovative use of spatial data and technologies, with the overall aim to advance human knowledge and understanding of the spatial evolution of cities, the underpinning driving forces, the interactions between people and the physical and built-environment they live in, along with the planning of resilient cities and communities in response to the global challenges such as population growth, ageing, climate change and global pandemics. In the era of Big Data, the analysis of space, place and people—through the use of spatial (big) data—becomes pivotal in developing a holistic and grassroots understanding of our cities in order to achieve sustainable and healthy living in our urban space. Yan's profound expertise in GIS and spatial data analytics as well as her broad general knowledge across multiple disciplines enables her to tackle these important social-spatial issues necessarily from a multi-disciplinary and cross-disciplinary perspective. Yan has recently been appointed to the ARC College of Experts (2022-2024). She also serves in the Scientific Advisory Board of the Australian Urban Research Infrastructure Network (AURIN) (2021-2023), and in the Executive Committee of the International Geographical Union (IGU) Applied Geography Commission (2021-2023), amongst others.

Yan Liu
Yan Liu

Dr Josh Rivory

Postdoctoral Research Fellow
School of the Environment
Faculty of Science
Availability:
Available for supervision

I'm an immersive technology researcher developing novel approaches to 3D experiences and research from the perspective of a multimedia creative artist. With a diverse foundation in music production, composition, audio engineering, and game development, I spearhead initiatives that harness creative works for positive societal and environmental impact.

Current projects include:

  • Algorithm validation and procedure generation for LiDAR scanning techniques to enable more accurate biodiversity and biomass calculations,
  • Prototyping first-person 360 camera technologies and co-producing 360VR simulations for domestic and family violence prevention and education, and
  • Investigating AI NPC interactions within immersive simulations to develop interpersonal capabilities within complex situations.
Josh Rivory
Josh Rivory

Associate Professor Chris Roelfsema

Affiliate of Centre for Biodiversit
Centre for Biodiversity and Conservation Science
Faculty of Science
Associate Professor
School of the Environment
Faculty of Science
Availability:
Available for supervision
Media expert

Research interest: Monitoring ecosystem health of coral reefs and seagrass habitats, integrating field and remote sensing image datasets, and the developing applied cost-effective mapping and monitoring approaches. Developed approaches have been adopted as standard practice globally, making a difference in conservation of these valuable habitats. The long term monitoring studies at Heron and Moreton Bay formed the basis for the development of mapping and monitoring over time and space at local to global scale.

Current projects:

1) Long term monitoring of benthic composition at Heron Reef (2002-ongoing). Annual photoquadrate surveys are being collected at Heron Reef, Southern Great Barrier Reef. Initiated to develop remote sensing mapping approaches and assess coral composition over time. The resulting Maps, photo quadrate and benthic data, spectral reflectance are accessible online.

2) Long term monitoring of seagrass composition and abundance in Moreton bay Marine Park (2000-ongoing). For Eastern Banks it included monitoring seagrass species, cover and biomass 15x times since 2004 using photoquadrate survey and satelite imagery and for Moreton Bay it included seagrass extent and cover (2004, 2009, 2015, 2021, 2022), all data accessible via Moreton Bay Research Station.

3) Smart Sat CRC Hyperspectral Remote Sensing of Seagrass and Coral Reefs 2023-2027. Collaborative effort with CSIRO, Adelaide University, DES Adelaide Coastal Waters.

4) 3D GBR Habitat Mapping Project 2015 - ongoing: Mapping and monitoring geomorphic zonation, bottom type and predicted coral type habitat for every Great Barrier Reef within the Marine Park.

5) Global habitat mapping project 2019-2023 Developed and implemention of global habitat mapping as part of the Allen Coral Atlas resulting in extent, geomorphic and benthic maps for reefs globally, funded through with Vulcan Philanthropies in partnership with; Planet; the Arizona State University and the National Geographic Society.

Other projects: Advisor for Reef Cloud Australian Institute of Marine Science and Coordinated Global Research Assessment of Seagrass System (C-GRASS).

Current position: Associate Professior in Marine Remote Sensing. Academic Director Heron Island Research Station and affiliated researchers with Centre for Marine Science and Centre for Biodiversity and Conservation Science

Capacity building: under/post graduate courses; Msc/PhD supervision, workshops/courses; Remote Sensing Educational Toolkit, and online courses (e.g. TNC)

Citizen science: Strong supporter of citizen science based projects, as trainer, organiser and advisor for Reef Check Australia, CoralWatch, Great Reef Census and UniDive.

Chris Roelfsema
Chris Roelfsema

Dr Yan Zhao

Research Fellow
Centre for Crop Science
Queensland Alliance for Agriculture and Food Innovation
Availability:
Not available for supervision

Dr Yan Zhao is a dedicated researcher in the field of agricultural systems, utilizing remote sensing observations to unveil spatial and temporal patterns and advance earth observation techniques and modelling. He is an integral member of a multi-disciplinary predictive agriculture research group based at QAAFI.

Currently, Dr Zhao's focus lies in the intricate integration of spatial technologies, crop modelling, and climate forecasting systems at various scales. His primary objective is to leverage remote sensing and crop simulation techniques for a comprehensive understanding of Australia's dryland cropping system. In pursuit of this goal, he has successfully developed pipelines for handling volumetric spatial datasets and delivering crucial information on crop types, production, and phenology, spanning from local to national scales.

Engaging actively with agri-business companies, government departments, and local growers, Dr Zhao collaborates closely with stakeholders to validate and implement his research findings in practical applications.

Dr Zhao earned his Doctoral Degree in Natural Science, with a specialized focus on Cartography and Geographic Information Systems. He completed his doctoral research at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, in 2013.

Yan Zhao
Yan Zhao