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Professor Caroline Crosthwaite BE(Hons), MEngSt (UQ), MSc. (JCU). Associate Dean (Academic) Faculty of Engineering, Architecture & Information Technology, University of Queensland. Caroline is a chemical engineer with over 30 years’ experience in engineering education and curriculum innovation. She has been involved in teaching, curriculum design and the development of student centred learning practices in engineering. She has published widely on project centred engineering education and has won UQ and national AAUT and AAEE awards for enhancement of student learning. Through the Associate Dean role Caroline champions teaching and learning innovation and development and active learning. Recent projects include the implementation of the Engineers without Borders National Design Challenge as part of the first year core engineering curriculum at UQ, and the development of Immersive Learning Environments in engineering using Virtual Reality . Caroline led the has recently completed Office of Learning & Teaching sponsored evaluation in 13 Australasian universities on the adoption of the Engineers Without Borders (EWB) Challenge projects into first-year curricula as a model for widespread curriculum renewal in engineering education. Caroline has also led national work by the Australian Council of Engineering Deans and other engineering organisations investigating attrition and retention in Bachelor of Engineering degrees in Australia. She consults nationally and internationally on engineering education and curriculum redesign which includes work with IChemE in Malaysia, Imperial College London and Purdue University USA.

Dr. Anthony Halog: A Pioneer in Sustainable Systems and Circular Economy

Dr. Anthony Halog is a leading authority in sustainable systems engineering and circular economy, with over 22 years of post-PhD experience in academia and research. His work focuses on integrating life cycle assessment (LCA), systems thinking, and industrial ecology to advance global sustainability efforts. Dr. Halog has successfully led numerous research projects in industrial ecology and sustainable supply chain management, contributing significantly to the United Nations Sustainable Development Goals (UNSDGs) and Planetary Boundaries frameworks.

His prolific career includes over 125 publications that have been widely cited and referenced in policy documents by international bodies such as the United Nations and the European Union. With a strong commitment to mentoring, Dr. Halog has guided numerous PhD candidates and postdoctoral researchers, fostering the next generation of sustainability experts. Since completing his PhD, he has examined numerous theses from various universities in Australia, North America, Africa, and Asia. His experience also extends to reviewing several grant proposals for prestigious funding bodies, including the National Science Foundation in the USA and European funding schemes.

Dr. Anthony Halog has received numerous fellowships and awards throughout his career. Notably, he was awarded fellowships from prestigious institutions such as the OECD, DAAD, and the Japan Society for the Promotion of Science (JSPS). He has held visiting fellowships across the globe, including in the UK, Germany, Japan, and Saudi Arabia, focusing on areas like Circular Economy, Green Hydrogen Policy, and Life Cycle Assessment. Dr. Halog's accolades also include early career fellowships from NSERC (Canada) and JSPS, along with several international research grants and academic scholarships, reflecting his global recognition in sustainability science and engineering.

Key areas of expertise include circular economy, bioeconomy, LCA, sustainable supply chain management, and the application of operations research and optimization in engineering sustainable systems. Dr. Halog’s interdisciplinary approach and international collaborations have positioned him as a thought leader in transitioning to a low-carbon, circular economy.

Biography

Dr Juan P. Hidalgo is a Senior Adjunct Fellow within the School of Civil Engineering (honorary position) and is currently a Fire Safety Engineer at Airbus Operations GmbH.

Juan joined The University of Queensland in 2016 as the first of the three academic appointments in the Centre for Future Timber Structures to lead the research and teaching on the fire safety of engineered timber structures. His background is in fire safety engineering, building systems and timber construction. His research to date has primarily focused on the performance of building materials for sustainable and durable construction exposed to fire conditions. Juan's field of expertise comprises material thermal degradation and flammability, heat transfer, and fire dynamics, highlighting his vast experience in multi-scale fire testing. Juan is actively involved in multiple research projects focused on sustainable construction, such as timber, insulation materials, or composites, and studying the fire dynamics in modern buildings. At present, Juan contributes to supervision and research collaborations on fire safety for the built environment with the Fire Safety Engineering Research Group at UQ.

Juan completed his BEng-MEng in Industrial Engineering at the Universitat Politècnica de València (Spain), a five-year degree equivalent to Mechanical/Civil Engineering in the UK with a final year specialisation with a particular focus on structural engineering. He also attained an MSc in Industrial Construction and Installations at the same University. During his MSc, Juan joined PBD Fire Consultants S.L., a Spanish company specialising in fire safety design for the built environment. He worked for this company for two years as a consulting fire engineer in multiple national and international projects. Following the completion of his MSc in 2011, Juan joined the University of Edinburgh (UK) to pursue his PhD in Fire Safety Engineering sponsored by Rockwool International A/S, which was completed in 2015 with the thesis entitled “Performance-Based Methodology for the Fire Safe Design of Insulation Materials in Energy Efficient Buildings”. He continued his academic career at the University of Edinburgh as a Postdoctoral Research Associate at the BRE Centre for Fire Safety Engineering, being involved in numerous research projects such as the FireComp project, and other projects focused on the fire performance of facades, timber construction, concrete and diverse construction systems.

Previous involvement in Teaching and Learning

During his appointment as academic staff at UQ, Dr Juan P. Hidalgo contributed to the teaching of Civil Engineering Bachelor and Masters programmes, including the BE-ME in Civil and Fire Safety Engineering (EA-accredited) and the MEngSc in Fire Safety Engineering. He was involved in the following courses:

• Introduction to Fire Safety Engineering (FIRE3700).
• Fire Engineering Design: Solutions for Implicit Safety (FIRE4610).
• Fire Dynamics (FIRE7620).
• Fire Dynamics Laboratory (FIRE7640).
• Structural Fire Engineering (FIRE7660).
• Fire Engineering Design: Explicit Quantification of Safety (FIRE7680).
• Research Thesis (FIRE7500).
• Design of Timber Structures (CIVL4334).

Dr Moni holds a PhD in Artificial Intelligence & Data Science in 2014 from the University of Cambridge, UK followed by postdoctoral training at the University of New South Wales, University of Sydney Vice-chancellor fellowship, and Senior Data Scientist at the University of Oxford. Dr Moni then joined UQ in 2021. He also worked as an assistant professor and lecturer in two universities (PUST and JKKNIU) from 2007 to 2011. He is an Artificial Intelligence, Computer Vision & Machine learning, Digital Health Data Science, Health Informatics and Bioinformatics researcher developing interpretable and clinical applicable machine learning and deep learning models to increase the performance and transparency of AI-based automated decision-making systems.

His research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving humans explainable AI models through feature visualisation and attribution methods. He has applied these techniques to various multi-disciplinary applications such as medical imaging including stroke MRI/fMRI imaging, real-time cancer imaging. He led and managed significant research programs in developing machine-learning, deep-learning and translational data science models, and software tools to aid the diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His research interest also includes developing Data Science, machine learning and deep learning algorithms, models and software tools utilising different types of data, especially medical images, neuroimaging (MRI, fMRI, Ultrasound, X-Ray), EEG, ECG, Bioinformatics, and secondary usage of routinely collected data.

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