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Bonsoo KooView profile

Associate Professor

• Financial Econometrics
• Econometric Theory
• Finance
• +5 more

Bonsoo Koo is an Associate Professor at Monash University's Department of Econometrics and Business Statistics within the Faculty of Business and Economics. He holds a PhD from the London School of Economics and Political Science. His research focuses on financial econometrics, econometric theory, macroeconometrics, and superannuation, emphasizing economic modelling, estimation, forecasting, and policy analysis. Dr. Koo has secured four Australian Research Council grants, including projects on superannuation sustainability, yield curve dynamics, and state-dependent fiscal multipliers. Recent collaborations span institutions globally, addressing topics like insurance market dynamics, pension planning, and macroeconomic policy impacts. He leads teams in projects such as 'High-frequency Estimation of Term Structure Models' and 'SETAR-Tree Forecasting', demonstrating interdisciplinary expertise in finance and statistics. His work contributes to UN Sustainable Development Goals through retirement income optimization and economic scenario modelling. Publications span journals like Journal of Computational and Graphical Statistics and Insurance: Mathematics and Economics , focusing on Bayesian methods, nonlinear dynamics, and stochastic pricing mechanisms.

Jonathan KeithView profile

Associate Professor

• Bayesian Modelling
• Computational Methods
• Bioinformatics
• +2 more

Jonathan Keith is an Associate Professor in the School of Mathematics at Monash University. His research focuses on Bayesian modeling, computational methods, bioinformatics, invasive species modeling, and epidemiology. He develops statistical methods for detecting functional genomic elements and applies computational approaches to biological and environmental problems. His work includes Bayesian segmentation for genome analysis, agent-based models for invasive species management, and epidemiological modeling.

Minh NguyenView profile

Research Fellow

• Probability Theory
• Stochastic Processes
• Reinforced Random Walks
• +2 more

Dr. Minh Nguyen is a Research Fellow in Probability Theory at Monash University's School of Mathematics. His research develops mathematical frameworks for self-interacting random processes, particularly reinforced random walks on graphs and integer lattices. Nguyen's work establishes fundamental properties of vertex-reinforced jump processes, including convergence behaviors on complete graphs and nonlinear reinforcement mechanisms. His publications rigorously analyze how local interaction rules generate complex global behaviors in stochastic systems. Additional research interests include combinatorial probability, random graph theory, and applications of stochastic methods to quantum phenomena. Nguyen serves as reviewer for leading probability journals and maintains international collaborations with researchers in Sweden and Australia.

Peyman MoghadamView profile

Adjunct Professor

• Embodied AI
• Robotics
• Computer Vision
• +5 more

Peyman Moghadam is a Principal Research Scientist at CSIRO Data61 and an Adjunct Professor at Queensland University of Technology (QUT). He leads the Embodied AI Research Cluster at CSIRO, focusing on robotics and machine learning intersections. His roles include former Group Leader of Robotic Perception and Acting Leader of the Spatiotemporal AI portfolio within CSIRO's MLAI Future Science Platform. Education: PhD in Robotics from Nanyang Technological University (2012). Professional experiences include Visiting Professorships at ETH Zurich (2022) and University of Bonn (2019), alongside leadership in multidisciplinary projects. Research interests span self-supervised learning, embodied AI, 3D perception, and agricultural robotics. Awards include CSIRO's Julius Career Award, Collaboration Medal, and national/state iAwards for innovation in robotics. He has held adjunct roles at QUT and the University of Queensland. Current roles emphasize AI-driven solutions for scientific challenges, such as Great Barrier Reef conservation and autonomous systems in agriculture. Key projects include the DARPA Subterranean Challenge (2nd place), Hovermap LiDAR technology, and collaborations with industry partners like Emesent and Georgia Tech. His work bridges foundational research with real-world applications in mining, agriculture, and environmental monitoring.

Habib HabibView profile

Research Fellow

• Environmental Monitoring
• Sustainable Agriculture
• Climate Resilience Planning
• +3 more

Habib Habib is a Research Fellow at the University of Southern Queensland (USQ), affiliated with the Support for Learning Rural Economies Centre of Excellence (Research). He holds a PhD from USQ (2024), an MAgriBus from Queensland (2015), an MBA from Quaid-i-Azam University (2012), and a BAdm(Hons) from Peshawar (2010). Research Interests: His work focuses on regional drought resilience planning, environmental monitoring practices in agriculture, and scaling clean technologies. He explores technology adoption challenges in agribusiness, particularly in sustainable supply chains and decarbonization strategies. His research integrates interdisciplinary approaches to address climate change impacts on rural economies and resource management. Recent Work Trends: Recent publications span environmental monitoring innovations, clean technology implementation, and rock mechanics. Key areas include numerical simulations of geomechanical systems, cavitation dynamics, and sustainable mining practices. His work bridges theoretical models with practical applications in agriculture and environmental engineering. Awards & Grants: No scientific awards explicitly mentioned. Research outputs include 202+ views and 19+ downloads across platforms, with active engagement in recent conferences (e.g., Queensland Decarbonisation Forum, 2024). Labs/Teams: Active contributor to the Rural Economies Centre of Excellence, focusing on drought resilience and agribusiness technology integration. Collaborates on projects involving temperature data loggers in vegetable supply chains and decarbonization strategies.

Ravi PethiyagodaView profile

Lecturer

• Fluid Mechanics
• Computational Mathematics
• Free-Surface Flows
• +3 more

Dr. Ravi Pethiyagoda is a Lecturer in Mathematics at the School of Information and Physical Sciences, University of Newcastle. His research focuses on fluid mechanics, computational mathematics, and free-surface flows, with particular emphasis on ship wave dynamics and tsunami propagation. He holds a PhD in Applied Mathematics from Queensland University of Technology (2016) and has conducted postdoctoral research on droplet impaction on plant leaves and nonlinear ship wave patterns. His work includes advancing numerical methods like Jacobian-free Newton-Krylov (JFNK) techniques to solve complex fluid dynamics problems. He has contributed to understanding the apparent wake angle, time-frequency analysis of ship wakes, and compressible ocean wave propagation. Current PhD supervision spans wave scattering, fluid dynamics with surface tension, and ocean wave problems. Key research areas include: numerical methods for nonlinear ship wave problems, analysis of wake patterns, spectrogram-based wave signal interpretation, and tsunami wave dynamics under variable bathymetry. His interdisciplinary studies bridge mathematics, physics, and engineering, with applications in oceanography and agricultural fluid dynamics.

• Social Network Analysis
• Machine Learning
• Medical Image Processing
• +7 more

Mehwish Nasim is a Lecturer in Computer Science at The University of Western Australia (UWA) and holds adjunct positions at the University of Adelaide and Flinders University. She is an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers and a member of the Equity and Diversity Committee. With 17+ years in technology, she has served as a Research Scientist at the University of Konstanz and a lecturer at the National University of Sciences and Technology (Pakistan). Her PhD from the University of Konstanz focused on inferring social relations in partially observable networks. Research Interests Her work spans social network analysis, machine learning, medical image processing, and health analytics. Current projects include predicting population-level events in Australia, detecting misinformation, modeling social media polarization, and improving decision-making via complex systems approaches. Grants & Funding Key grants include a Defence AI Research Network grant (~$100K), a Defence Innovation Partnership grant ($150K), and Flinders Impact Seed Funding ($10K) targeting vaccine misinformation in migrant communities. She also secured ACEMS grants for social media polarization studies and led proposals in wargame modeling and transnational research. Teaching She teaches courses such as Algorithms, Agents & AI (UWA), Data Engineering (Flinders), and Database Modelling. Past roles include lecturing at NUST and tutoring network dynamics at Konstanz. Media & Outreach Featured in 'Women in STEM' series (2022), Flinders News (2022), and CSIRO's Data61 spotlight (2021). She has been interviewed on disinformation campaigns and podcast discussions on 'fake vs fact' (ACEMS, 2020).

• Advanced Materials
• Polymer Composites
• Nanomaterials
• +7 more

Ing Kong is an Associate Professor in the Department of Engineering at La Trobe University. She holds a PhD and BSc in Materials Science from the National University of Malaysia (2009 and 2005) and a Postgraduate Certificate in Higher Education from the University of Nottingham (2015). Her research focuses on advanced materials, including functional polymer composites, magnetic nanoparticles, carbon nanomaterials, superconductors, and additive manufacturing technologies critical to Industry 4.0. She has authored/co-authored over 100 publications, including journal articles, conference proceedings, and book chapters. Dr. Kong has held academic roles at institutions like the University of Nottingham and RMIT University and serves on editorial boards for materials and mechanical engineering journals. Her research spans interdisciplinary areas such as biocomposite development, flame-retardant materials, and sustainable additive manufacturing. Notable projects include the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS) and consulting for Ritchie Technology on recycled plastic analysis. She teaches Engineering Materials and actively participates in professional activities like conference organization and peer review. Her work emphasizes practical applications in healthcare, environmental sustainability, and industrial innovation. Dr. Kong’s collaborative research includes 3D-printed biocomposites for tissue engineering, antibacterial surface fabrication, and energy-efficient materials. Her editorial roles and international conference leadership highlight her contributions to advancing materials science globally.

Jane WhitelawView profile

Lecturer

• Occupational Health and Safety
• Respiratory Protection
• Industrial Hygiene
• +3 more

Dr. Jane Whitelaw is a Lecturer and OHS Academic Program Director at the University of Wollongong's School of Health and Society, within the Faculty of Arts, Social Sciences and Humanities. She holds a PhD and has over 30 years of industry experience in occupational hygiene, focusing on respiratory protection and occupational disease prevention. Her roles include leading academic programs, supervising research students (e.g., Kerrie Burton), and contributing to professional standards via committees like Standards Australia SF10. Education includes a PhD Candidate status (2015–2015), M.Sc. in Environmental Health (University of Western Sydney, 1996–1998), and a Graduate Diploma in Applied Science: OHS (Newcastle University, 1988–1990). Certifications include Certified Occupational Hygienist (AIOH) and Certified Industrial Hygienist (CIH, American Board). Her research emphasizes evaluating respiratory protection efficacy against hazards like diesel particulate matter (DPM), bushfire smoke, and alpha-diketones in coffee processing. Key grants include projects funded by Coal Services Health and Safety Trust and the AIOH Foundation. She has authored/co-authored over 70 outputs, including peer-reviewed articles and book chapters on occupational hygiene, respiratory protection standards, and exposure assessment. Awards include the 2018 ISRP Best Poster Award and 2015 3M Best Conference Paper Award. Professional memberships span the Australian Institute of Occupational Hygienists (Fellow since 2015), International Society for Respiratory Protection, and the American Industrial Hygiene Association. She actively promotes respiratory fit testing via the RESP-FIT program and collaborates on national safety initiatives like the National Register for respirators. Teaching and supervision focus on equipping OHS professionals globally, with current supervision of a Doctor of Philosophy on smelter emissions and 3D face modeling for respirator selection. She leads interdisciplinary teams addressing worker health challenges in mining, manufacturing, and disaster response contexts.

Mike CuttlerView profile

Researcher

• coastal processes
• beach morphodynamics
• sedimentology
• +3 more

Dr. Mike Cuttler is a Research Fellow at the University of Western Australia (UWA) within the School of Earth and Oceans and the UWA Oceans Institute. His research focuses on nearshore processes, coastal hazards, and complex coastlines, particularly reef-fronted environments. He investigates drivers of coastal evolution across storm to decadal timescales, leveraging field instrumentation (e.g., wave buoys, ADCPs) and numerical models (e.g., Delft3D, XBeach). He collaborates with UWA’s Coastal and Offshore Engineering Lab and leads projects on WA’s coastal dynamics, including wave monitoring and habitat connectivity. He actively supervises PhD students and has secured grants from agencies like the National Collaborative Research Infrastructure Strategy. His work contributes to UN Sustainable Development Goals, emphasizing climate action and ocean conservation. Education: PhD in Earth Sciences (UWA, 2017), BSc (Hons) in Geology (Boston College, 2012) Research Group: Coastal and Ocean Dynamics, led by Prof Ryan Lowe and Dr Jeff Hansen Research interests include coastal hazards (flooding/erosion), sediment transport, and reef systems. Recent projects involve developing tools for fine-scale oceanographic analysis in WA’s Dampier Archipelago and forecasting coastal safety for rock fishing areas. He also conducts aerial surveys for coastal morphology monitoring between Point Peron and Cape Naturaliste. His work integrates field, modeling, and laboratory studies to advance coastal resilience strategies. Grants and collaborations include IMOS-funded projects on wave buoys and coastal moorings. His publications span coastal dynamics, coral reef resilience, and hydrodynamic modeling, with a focus on data-driven solutions for environmental challenges.

Thierry PeynotView profile

Associate Professor

• Robotics
• Perception
• Sensor Data Fusion
• +9 more

Associate Professor Thierry Peynot is affiliated with the Queensland University of Technology (QUT) , specifically within the School of Electrical Engineering & Robotics in the Faculty of Engineering . He holds a PhD from the Institut National Polytechnique de Toulouse , France. His research focuses on robotics, perception, sensor data fusion, computer vision, autonomous systems, planetary rovers, mining robotics, and medical robotics , with a strong emphasis on terrain traversability analysis and resilient navigation in challenging environments. His professional roles include serving as Associate Editor for the IEEE Robotics and Automation Letters (RA-L) and involvement in prestigious conferences such as IEEE International Conference on Robotics and Automation (ICRA) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . He has contributed to national robotics initiatives, including co-chairing the Resources section of Australia's National Robotics Roadmap (2018 & 2020). Thierry’s research has led to advancements in autonomous navigation, particularly in dense vegetation, underground mining, and planetary exploration. His work includes developing systems like ForestTrav for forest terrain analysis and LookUP for underground localization. He has supervised over 15 PhD and Master’s students, focusing on topics such as medical robotics, autonomous navigation, and sensor fusion. Key achievements include awards for conference organization, editorial contributions, and leadership in robotics standardization. His lab, the QUT Centre for Robotics , drives innovations in robotics for industry, space, and healthcare.

Zifan LinView profile

Lecturer

• Image Enhancement
• Power Electronics
• Inverter Technology
• +3 more

Zifan Lin is a Lecturer and PhD student in the Multi-Discipline Doctor of Philosophy program at the School of Engineering, University of Western Australia. His research focuses on power electronics, underwater imaging, and control systems, with notable contributions to inverter technology, DC microgrid systems, and machine learning applications in vision systems. He actively collaborates on projects spanning Australia and other regions, addressing challenges in renewable energy integration and advanced image processing. His academic background includes multi-disciplinary training in engineering, complementing his teaching duties. Research interests emphasize practical solutions for energy systems (e.g., DC-DC converters, NPC inverters) and underwater image enhancement networks like TANet and ReX-Net. Recent work explores semantic feature refinement for mask detection and robust control schemes for electric motors using reinforcement learning. Publications highlight innovations in space vector modulation strategies, finite-set model predictive control, and agricultural drying technologies. While no specific awards are listed, his prolific output in top journals like IEEE Transactions and LWT-FOOD SCIENCE AND TECHNOLOGY reflects academic recognition. His advising and grant activities remain unspecified in available data.

Michael WiseView profile

Associate Professor

• Computational Biology
• Microbial Informatics
• Bioinformatics
• +3 more

Associate Professor Michael Wise holds a joint appointment in The University of Western Australia's School of Physics, Maths and Computing (Department of Computer Science and Software Engineering). He completed a double degree in Engineering and Arts, followed by a PhD in Electrical Engineering at UNSW. His career includes roles at University of Technology Sydney and University of Sydney, before shifting to bioinformatics research. Since 2004, he has focused on microbial informatics, computational biology, and research ethics. Current projects emphasize applying computational methods to understand microbial life. Education: Double degree in Engineering and Arts (UNSW) PhD in Electrical Engineering (UNSW) Research Interests: Prof. Wise specializes in microbial informatics, particularly bacterial genomics and bioinformatics. His work integrates computational techniques with evolutionary biology and public health, addressing topics like antibiotic resistance, pathogen virulence, and environmental microbial ecosystems. Recent projects include analyzing Neisseria gonorrhoeae lineages and Helicobacter pylori epidemiology in WA. External Roles: Trustee, Committee on Publication Ethics (since 2017) Council Member, Committee of Publication Ethics (since 2013) Chair, Immunisation Alliance of Western Australia (2010–2016) Teaching & Grants: He lectures in Computer Science and has supervised 8 HDR students. His grants include funding for microbial bioinformatics projects. Recent articles focus on RNA structure prediction, 3D point cloud analysis, and metagenomic studies. Labs & Teams: Active in interdisciplinary teams combining computer science and microbiology, collaborating globally on genomic epidemiology and computational biology initiatives.

Mirela PrgometView profile

Research Fellow

• Digital Health
• Health Services Research
• Medical Informatics
• +3 more

Dr Mirela Prgomet is a Senior Research Fellow at Macquarie University's Australian Institute of Health Innovation, specializing in health services research with a focus on digital health technologies. Her work evaluates how technology impacts clinical workflows and patient care, particularly through the WOMBAT observational method. She holds a PhD from UNSW (2014) and a Bachelor of Applied Science (Health Information Management) from the University of Sydney (2007). Her research interests include telehealth implementation during pandemics, pathology point-of-care testing safety, and digital health foundations for diagnostic excellence. Notable projects include analyzing telehealth adoption in general practice during COVID-19 and assessing safety in point-of-care testing practices. Education: PhD in Health Informatics, UNSW (2014); BAppSci (Health Info Mgmt), Sydney University (2007) Awards: 2021 Best Paper Award (Context Sensitive Health Informatics), 2023 Best Poster Award (Same Conference) External Roles: Editorial Board Member (BMC Medical Informatics), Co-Chair (IMIA Technology Assessment WG) Her work spans over 76 publications and 2 major research projects funded by health institutions. Key areas include pandemic healthcare response, diagnostic stewardship, and technology evaluation frameworks.

• Optimization
• Signal Processing
• Machine Learning
• +3 more

Dr. Minh Dao is a Senior Lecturer in the Department of Mathematics at RMIT University's School of Science. His research focuses on optimization theory, algorithm design, and their applications in signal processing, machine learning, and wireless communications. He has contributed to advancements in distributed optimization, nonconvex programming, and federated learning frameworks. Key research interests include operator splitting methods, DC programming, and mathematical modeling for energy-efficient systems. He has published extensively in top-tier journals and conferences such as the European Journal of Operational Research and IEEE Transactions on Intelligent Transportation Systems. Dr. Dao supervises research projects on distributed optimization for federated learning, reboot sensing MIMO systems, and DC programming approaches for clustering problems. His work integrates theoretical analysis with practical applications in telecommunications and energy networks.