Dr Trish Gilholm is a dedicated data scientist, statistician and early-career researcher within the Children's Intensive Care Research Program, Child Health Research Centre. Her research focuses on the application of advanced statistical methods and machine learning techniques to paediatric critical care. With a PhD in Statistics from Queensland University of Technology, her research focuses on personalised predictive modelling to improve outcomes for critically ill children. Dr Gilholm has made significant contributions through her work on projects that include the evaluation of sepsis screening tools, the use of adaptive designs in paediatric critical care clinical trials, and machine learning models to predict long-term educational and developmental outcomes for PICU survivors.
Dr. Gilholm's work has been recognised with numerous awards, including the Executive Dean Commendation for Outstanding Doctoral Thesis Award and Best Oral Presentation at the 2022 and 2021 Children’s Health Research Symposiums. She has published her work in leading journals including Intensive Care Medicine and Pediatric Critical Care Medicine. She is actively involved in mentoring, teaching, and supervision of research students.
Dr. Morteza Namvar is a senior lecturer at UQ Business School, specializing in Business Information Systems. With a background in computer science and IT engineering, he brings valuable expertise to his research on Machine Learning (ML) and Natural Language Processing (NLP) in business settings. Morteza is passionate about exploring the applications of ML, NLP and LLM in organizational contexts. In his research program, he mentors several PhD and HDR students in leveraging these technologies to drive innovation and efficiency across various business domains. He has successfully secured funding for multiple ML and NLP projects and has disseminated his findings through publications in esteemed journals and conferences in IS and computer science. Dedicated to cultivating the next generation of ML enthusiasts, Morteza’s teaching focuses on ML development using Python, equipping students with the skills and confidence needed to thrive in the dynamic field of ML.
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
Citizen science: Strong supporter of citizen science based projects, as trainer, organiser and advisor for Reef Check Australia, CoralWatch, Great Reef Census and UniDive.
