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Yogi Vidyattama is an Associate Professor at the Canberra School of Politics, Economics and Society, University of Canberra. He specializes in spatial microsimulation modeling, economic growth, income distribution, and fiscal decentralization. Previously affiliated with the University of Indonesia, he contributed to regional economic analysis in Indonesia. His research focuses on linking economic policies with spatial outcomes, including corruption determinants, healthcare access, and disaster resilience. Education: PhD in Patterns of Provincial Economic Growth from Australian National University (2008), Master's from ANU (2003), and Bachelor's in Fiscal Decentralisation from University of Indonesia (2000). Research interests include microsimulation modeling, regional economic disparities, and policy impacts. He has led 49 projects, including studies on electric vehicle policy, disaster capability mapping, and regional fast rail economic impacts. His work contributes to UN SDGs related to economic growth, inequality reduction, and disaster resilience. Publications span over 117 outputs, analyzing topics like Indonesia's regional corruption, Australian housing crises, and pandemic policy effects. Awards and recognitions are unspecified, but his roles in executive councils of ANZRSAI and PRSCO highlight peer recognition. Advised 10 students and maintains NATSEM's spatial models and GIS systems.

• Spatial Microsimulation
• Economic Growth
• Income Distribution
• +5 more

Professor Azizur Rahman is a leading academic in applied statistics and data science at Charles Sturt University (Australia), where he leads the Data Mining Research Group and directs the Data Analytics Lab. He holds a PhD in Economics and Applied Statistics from the University of Canberra, with postdoctoral experience at the University of Adelaide. His expertise spans statistical methodologies, microsimulation, AI/ML, and data-driven policy analysis. He has attracted over $4.03M in research funding and published over 200 scholarly works. Education: BSc (Honours) in Statistical Science, University of Chittagong (2000) MSc (Thesis) in Biostatistics, University of Chittagong (2003) PhD in Economics and Applied Statistics, University of Canberra (2010) Research Focus: Big data analytics and AI applications in health, environment, and policy Bayesian inference and multilevel modeling Spatial microsimulation for socioeconomic analysis Water quality modeling and environmental systems Public health challenges in developing nations Key Contributions: Developed novel computational methods for microsimulation modeling Founder of the Data Analytics Lab at CSU Editorial roles in journals like PLOS ONE and International Journal of Microsimulation Recipient of 2023 ANZRSAI Outstanding Service Award and Charles Sturt Excellence Awards Grants & Awards: $4.03M+ external research funding secured 30+ awards including travel grants, fellowships, and service recognitions Advising & Mentorship: Supervised 6 PhD/DIT students and co-supervised many more. Active in mentoring early-career researchers through editorial boards and conference organizing roles. Labs & Collaborations: Leads DaMRG (Data Mining Research Group) and collaborates with global institutions on interdisciplinary projects involving AI/ML, environmental science, and public health.

• Data Science
• AI and Machine Learning
• Statistics
• +7 more

Associate Professor Liton Kamruzzaman coordinates the Methods Field at Monash University's Department of Civil and Environmental Engineering. Recognized as Australia's top researcher in Urban Studies and Planning (2021, 2023), his work examines transport-land use relationships through spatial analytics and behavioral modeling. Research spans: Sustainable urban mobility systems Transport emissions modeling Autonomous vehicle impacts 20-minute neighborhood design Big data applications in transport Leads projects including ARC Discovery grants on autonomous vehicle impacts ($200k) and NHMRC-funded JIBE study on built environment-health relationships. Supervises 19 PhD students investigating transport equity, urban analytics, and sustainable mobility. Teaches advanced courses in transport engineering (CIV5177) and urban mobility futures (CIV5314).

• Transport Planning
• Land Use Planning
• Travel Behaviour
• +4 more

Le Hai Vu is a Professor in the Department of Civil & Environmental Engineering at Monash University, leading research in Intelligent Transport Systems (ITS). He holds an ARC Future Fellowship (2012-2016) and received the ITS Australia National Research Award (2019). Previously, he led the ITS Lab at Swinburne University and the University of Melbourne. His work focuses on autonomous vehicles, traffic systems optimization, and sustainable urban mobility. Affiliations: Monash University (2016–present), University of Melbourne (2011–2016), Swinburne University (2000–2011) Key projects: Building 4.0 CRC, SPARC Hub for Smart Transport Pavements, Sustainable City Size Research Research interests include autonomous vehicle impacts, traffic signal control, bikeability assessment, and multimodal transport integration. Over 200 publications and 17 research projects highlight his expertise in bridging AI and transportation systems. He actively supervises PhD students and collaborates globally on urban infrastructure challenges.

• Intelligent Transport Systems
• Transport Systems Planning
• Autonomous Vehicles
• +4 more

David Steel is a Senior Professor and Professorial Fellow at the School of Mathematics and Applied Statistics, University of Wollongong. He holds roles such as Director of the Centre for Statistical and Survey Methodology, and has led research on survey methodology and statistical design for over three decades. His career includes significant contributions to the Australian Bureau of Statistics (ABS), where he specialized in sample survey design and analysis for major household surveys like the Monthly Labour Force Survey. Education : BSc in Pure Mathematics and Mathematical Statistics (University of Adelaide, 1973) Masters in Statistics (Australian National University, 1977–78, part-time) PhD in Social Statistics (University of Southampton, 1985) Research Focus : Steel’s work centers on survey methodology, including design and analysis of complex social and economic data, small area estimation, telephone survey methods, and repeated surveys. He emphasizes the interplay between data collection and analytical techniques, particularly in addressing challenges posed by complex population structures. Awards & Leadership : Member of the International Association of Survey Statisticians and former Associate Editor of the Journal of the Royal Statistical Society, Series A. He has secured over ten ARC/NHMRC grants since 1995 and led projects like the Applied Statistics Education and Research Collaboration funded by DEST.

• Survey Methodology
• Sample Survey Design
• Complex Social and Economic Data Analysis
• +4 more

Riyana Miranti is a Professor of Economics and Associate Dean (Partnerships and International) at the Canberra School of Politics, Economics and Society, University of Canberra. She specializes in socio-economic development, focusing on social wellbeing, equity, poverty, and inequality, particularly in Australia and Indonesia. Her research examines issues affecting children, youth, and older adults, with a strong emphasis on policy-relevant outcomes. Educations: PhD in Economics, Australian National University (2008) Master of Social Science in Economics, National University of Singapore (2000) Bachelor of Economics (Accounting), University of Indonesia (1996) Research Interests: Her work centers on multidimensional poverty analysis, social exclusion indices, and policy evaluation. She has pioneered Indonesian economic research at institutions like NATSEM/IGPA and led projects for international agencies including USAID, UNESCO, and ADB. Key areas include child welfare, social protection systems, and spatial microsimulation techniques. Grants & Projects: Over 27 projects including ARC grants on wellbeing measurement, such as the Child and Youth Social Exclusion Indices. She has also managed applied research on workforce vulnerability, aging populations, and gender disparities. Labs/Teams: Leads the University of Canberra's research collaborations in social policy and economics, contributing to reports like the AMP.NATSEM Income and Wealth Report and the Child Social Exclusion Index .

• Social Wellbeing
• Equity and Inequality
• Child and Youth Social Exclusion
• +4 more

Chao Sun is an Associate Professor at The University of Western Australia (UWA), affiliated with the School of Social Sciences and the Planning and Transport Research Centre (PATREC). His research bridges academia, government, and industry through multidisciplinary approaches combining modern computing, data analytics, and simulation techniques. Key focuses include autonomous vehicles' societal impacts, transport modeling, and optimizing logistics systems using genetic algorithms and machine learning. Education and Career: Prior roles include Senior Simulation Consultant at AECOM and Research Associate at Curtin University. His work emphasizes digital transformation in transport sectors, addressing challenges like Perth's urban growth and infrastructure planning. Research Interests: Future Transport Scenarios (e.g., telecommuting, AV integration) Data-Driven Traffic Simulation Optimization for Logistics Networks Smart City Infrastructure Grants & Projects: Leads over 30 funded initiatives, including 'RoadSense Analytics: AI-enabled Traffic Intelligence' (2025–2027) and 'RailSmart Wanneroo Planning Support System'. Recent collaborations involve Main Roads WA and the WA Department of Transport. Awards: Received the 2022 School of Social Sciences Award for Research Impact and Innovation, recognizing contributions to bridging research and practical transport solutions. Labs/Teams: Core member of PATREC, contributing to datasets like 'RailSmart' and advancing tools such as the ADAPT accessibility toolkit.

• Transport Engineering
• Traffic Modeling and Simulation
• Data Analytics (Machine Learning)
• +3 more

Professor Robert Tanton holds a PhD in Economics from the University of Canberra and has been affiliated with the National Centre for Social and Economic Modelling (NATSEM) since June 2005. His primary research focuses on spatial disadvantage, wellbeing analysis, and spatial microsimulation techniques. He is internationally recognized for expertise in poverty measurement, housing stress analysis, and small-area estimation methodologies. Tanton leads projects applying microsimulation models to assess socioeconomic indicators, including work presented to the Senate Select Committee on Housing Affordability and collaborations with organizations like AURIN. Education: PhD in Economics, University of Canberra (specializing in small-area estimation) Research Interests: Spatial analysis of economic disadvantage Wellbeing metrics and policy evaluation Microsimulation models for public policy Health economics and informal care costs Environmental policy and urban development Grants & Collaborations: Chief Investigator on multiple Australian Research Council (ARC) grants Commissioned work for government agencies including the Tasmanian Social Inclusion Unit and Commonwealth Bank Member of the Australian Urban Research Infrastructure Network (AURIN) Key Contributions: Developed spatial microsimulation frameworks for poverty and wellbeing analysis Authored over 140 publications on socioeconomic disadvantage, health economics, and policy impact assessments Advised on tax reform, EV policy, and mental health costing through microsimulation models

• Spatial Disadvantage
• Wellbeing Analysis
• Spatial Statistics
• +5 more

Professor Taha Hossein Rashidi is a leading expert in Transport Engineering at the School of Civil and Environmental Engineering, University of New South Wales (UNSW), and a member of the Research Centre for Integrated Transport Innovation (rCITI). His work bridges disciplines like economics, statistics, urban design, and sustainability to advance smart-city solutions. Education : PhD, University of Illinois, Chicago (2011); MS Civil Engineering, Sharif University of Technology (2005); BS Civil Engineering, Sharif University of Technology (2003). His research focuses on travel behaviour analysis, activity-based travel demand modelling, integrated land use and transportation models, and autonomous driving technologies. He leads the rCITI Travel Behaviour Modelling Team, which includes 3 Post-docs, 7 PhD, and 3 MSc students. Recent work explores shared autonomous vehicles, social media data integration for transport models, and dynamic ride-sharing systems. His publications span topics like pedestrian demand modeling, residential relocation dynamics, and pandemic-related travel restrictions. Scientific Awards Fred Burggraf Award (TRB, 2008) Dwight Eisenhower Fellow (2008) ASCE Freeman Fellowship (2009) NSERC PDF Award (2012) Industrial RAND Fellowship (2012) Vice Chancellor’s Award for Teaching Excellence (2015, Team) Award for Engineering Education Engagement (2015, Team) Outstanding Paper (TRB Analytics Contest, 2017) He has secured over $1.2 million in research funding since 2007, including ARC DECRA and Linkage Grants. His teaching includes courses on geometric design, urban transport modeling, and transport econometrics.

• Travel behaviour analysis
• Transportation planning
• Activity-based travel demand modelling
• +8 more