Dr. Valeria Noguti is a Lecturer in the Marketing Discipline Group at the University of Technology Sydney (UTS) Business School. She holds a PhD in Management/Decision Sciences from INSEAD (France), alongside undergraduate degrees in IT (FATEC-SP) and Management (FEA-USP), and a Master’s in Management (FEA-USP). Her research focuses on consumer behavior, social media, entrepreneurship, and communications, employing methodologies like quantitative and qualitative analysis, particularly automated-text analysis. She coordinates post-graduate courses in Marketing, including Buyer Behaviour and Digital Consumer Behaviour, and serves as Undergraduate Director for the Bachelor of Business (Marketing Major). Education: PhD in Management/Decision Sciences, INSEAD, France Master’s in Management, FEA-USP, Brazil Bachelor’s in Management, FEA-USP, Brazil Bachelor’s in IT, FATEC-SP, Brazil Dr. Noguti’s research explores how social media usage patterns influence consumer behavior, with a focus on advertising effectiveness, gender differences, and startup funding dynamics. Her work bridges behavioral economics and marketing, emphasizing practical implications for businesses and social media platforms. She has received grants for studies on opinion impacts on product preferences and has contributed to funded research on technological startups. Her teaching emphasizes contemporary marketing challenges, including digital consumer insights. She is available for supervision of Master’s and PhD students. Languages: English (fluent), Portuguese (fluent), French (fluent).
Dr. Mike Seymour is a Senior Lecturer at the University of Sydney Business School, specializing in Human-Computer Interaction (HCI), Digital Humans, and AI ethics. He holds a BSc, MBA, and PhD from the University of Sydney. His research focuses on photorealistic digital faces for immersive interfaces, blockchain socio-technical systems, and agile project management in creative industries. Dr. Seymour is a member of the Sydney Nano Institute and leads the Motus Lab. He has published in top journals like *Harvard Business Review*, *Communications of the ACM*, and *Information Systems Research*. His current projects include ARC-funded research on digital humans for anti-racism initiatives and adaptive AI for brain injury patients. He has received awards such as the SOAR Prize and ECR Researcher of the Year. His teaching spans CX, UX, and project management courses (e.g., INFS2040, INFS3080). Media engagements include ABC News, Sky News, and *The Australian Financial Review* for commentary on AI ethics and film industry trends. Education: BSc (University of Sydney) MBA (University of Sydney) PhD (University of Sydney) Research Themes: Real-time photorealistic avatars Deepfake ethics Agile methodologies in VFX Grants: A$450K ARC DP25 grant for anti-racism digital humans Earned $200K in industry partnerships (e.g., Epic Games) Labs/Teams: Leads the Motus Lab and collaborates with the Digital Human Research Group.
Professor Massimiliano Tani Bertuol is a distinguished academic specializing in economics at UNSW Canberra's School of Business, where he has served as Professor since 2015. His professional affiliations extend beyond UNSW as he is an Associate Investigator/Member at CEPAR; Ageing Futures; uDASH; AI Institute; and Cyber security (IFCYBER). Additionally, he maintains international connections as a Research Fellow at the Institute for the Future of Labor (IZA) in Germany since 2005, an Associate Member at Macquarie University's Centre for Workforce Futures since 2018, and a Research Fellow at the Global Labor Organization (GLO) in Maastricht since 2016. His educational background reflects a strong foundation in economics and business, having earned a PhD in Economics from the Australian National University (2003), a Master of Science in Economics from the London School of Economics (1992), and a Bachelor's degree in Business/Economics from Bocconi University in Milan, Italy (1989). His academic journey has positioned him as a leading researcher in human capital economics with international recognition. Professor Tani Bertuol's research centers on human capital development and its economic implications. His work examines how human capital can be fostered, efficiently transferred internationally through migration, and how it affects productivity, innovation, and economic growth at both firm and national levels. His research spans multiple regions including Australia, Europe, the US, Africa, and China, with particular focus on migration economics, labor market outcomes, and the economic impacts of education and skills. His current research agenda includes non-pecuniary incentives, behavioral/financial decisions in China, occupational licensing, language skills and economic assimilation, AI-human interactions in health contexts, and labor mobility and productivity. Analysis of his recent publications reveals significant interdisciplinary trends bridging economics with public health, environmental science, and technology. His work connects migration dynamics with economic outcomes, examines household financial behaviors through gender lenses, and investigates the complex relationships between environmental factors like air pollution and economic activities including education investment and entrepreneurship. More recent work explores AI applications in health and the economic implications of pandemic responses, demonstrating his ability to address contemporary challenges through rigorous economic analysis. 2023: UNSW ARC Postgraduate Council (Arc PGC) award for excellence in research supervision 2011: Vice-Chancellor Award for Teaching Excellence 2011: Faculty Award for Teaching Excellence for teaching economics Professor Tani Bertuol has successfully supervised 4 PhD students to completion, with 1 submitted dissertation and 5 currently under supervision. His active research program is supported by significant grant funding including an ARC Linkage Project (2023-27) on regional Australia's skills shortages and high-skill refugees' employment ($354,811), an ARC Discovery Project (2019-23) on migrant aging and wellbeing ($478,000), and a NUW Alliance grant (2021-23) on hearing screening and academic outcomes ($73,367). He serves as Associate Editor for Social Indicators Research and Higher Education Research & Development, contributing to scholarly discourse in his fields of expertise. His teaching portfolio includes courses in data analytics, finance, and professional executive education focused on cost-benefit analysis and data communication. He teaches ZBUS2333 Data Analytics and Visualisation, ZBUS8105 Finance and Investment Appraisal, and ZBUS8149 Introduction to Finance, demonstrating his commitment to developing the next generation of economics professionals with both theoretical knowledge and practical skills.
Zhanna Sarsenbayeva is a Lecturer in the School of Computer Science at the University of Sydney. Previously, she held a Doreen Thomas Postdoctoral Research Fellowship at the University of Melbourne. Her research focuses on Human-Computer Interaction (HCI), Ubiquitous Computing, Accessibility, and Affective Computing. She earned a PhD in Engineering from the University of Melbourne, an MSc in Computer Science and Engineering from the University of Oulu, and a BSc in Computer Science from University College London. Research Interests: Dr. Sarsenbayeva explores how technology can enhance accessibility, improve emotion recognition in mobile contexts, and address situational impairments. Her work spans wearable sensors, mobile health applications, and ethical AI methodologies. Awards & Honors: 2022–2023: Australia-Germany Joint Research Cooperation Scheme 2021: CIS ECR Grant 2020: Doreen Thomas Postdoctoral Fellowship 2019: Gaetano Borriello Outstanding Student Award Advising & Grants: She currently supervises five PhD students researching topics like mixed reality collaboration and emotion recognition. Her grants include projects on accessibility standards and fairness in AI. International Collaborations: Engages with researchers at Aalborg University (Denmark), University of Oulu (Finland), and LMU Munich (Germany) on interdisciplinary projects.
Cuo Zhang is a Lecturer of Power Engineering and ARC DECRA Fellow at the University of Sydney's School of Electrical & Computer Engineering. He holds a B.E. (Hons.) from the University of Sydney (2014) and a Ph.D. in Electrical Engineering from UNSW (2018). His research focuses on smart grids, renewable energy integration, voltage control, and optimization of power systems. Key interests include distributed generation planning, energy storage systems, and demand response mechanisms. Dr. Zhang leads research on enhancing distribution network resilience through advanced control strategies and participates in the Net Zero Institute. He has secured grants such as the 2024 ARC DECRA project on renewables hosting capacity. Supervised students include Yunqing Zhang, working on robust renewables integration. His recent publications emphasize data-driven approaches, decentralized energy trading, and adaptive control for unbalanced networks. He explores machine learning applications in energy management and stochastic optimization under uncertainty. Awards include the University Medal for academic excellence. Awards: ARC DECRA Fellow Grants: 2024 Robust Renewables Hosting Capacity Enhancement Labs/Teams: Member of the Net Zero Institute
Dr Declan Humphreys is a Lecturer in Cyber Security at the School of Science, Technology and Engineering at the University of the Sunshine Coast. He coordinates courses on ethics in cyber security, covering topics such as surveillance, disinformation, ethical design, and corporate responsibility. His research explores the intersection of artificial intelligence, ethics, and societal impact, with a focus on epistemic harms, AI replicas of deceased individuals, and algorithmic market risks. Research Focus: Ethics in AI development and deployment Cyber security risks of generative AI Philosophical implications of digital afterlife technologies Ethical challenges in reinforcement learning and sycophantic AI Critical analysis of pricing algorithms Scientific Awards: Associate Fellow of the Higher Education Academy (AFHEA) Professional Memberships: Australasian Association of Philosophy (AAP) Teaching Areas: Ethics in Cyber Security Artificial Intelligence Technological Ethics Program Coordination for Bachelor of Information and Communications Technology Research Projects: He supervises HDR and Honours students in projects related to ethics in AI, societal risks of disinformation, AI modeling for moral decisions, and cyber security protection for NGOs. Labs & Teams: Dr Humphreys contributes to the Healthy Ageing Research Cluster and participates in the MindSET-do project, which engages young students in technology and programming education.
Associate Professor Archie Chapman is an Associate Professor in Computer Science and Deputy Director (Teaching and Learning) at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on applying artificial intelligence, game theory, optimization, and machine learning to address challenges in future power systems, including renewable energy integration and battery storage optimization. Prior to UQ, he held roles as a Research Fellow in Smart Grids at the University of Sydney (2011-2019) and a postdoc at the University of Southampton (2009-2010), where he completed his PhD in 2004. Research interests include: - Large-scale optimization for energy systems - Demand response and peer-to-peer energy trading - Renewable energy integration and grid stability - Battery storage strategies for smart grids - Algorithmic game theory for energy market design Notable projects: - Bruny Island battery trial for network congestion management - Analysis of tariff impacts on solar households - Development of decentralized energy management frameworks Publications span over 100 articles, with recent work focusing on: - Prosumer battery systems and capacity firming (2025) - Unbalanced optimal power flow benchmarks (2024) - P2P energy trading mechanisms (2021-2023) Expertise includes: - Techno-economic analysis of energy systems - Distributed optimization algorithms - Policy and market design for renewable integration
Liang Choon Wang is an Associate Professor and Economics PhD Program Director at the Department of Economics, Monash University. He holds a PhD from the University of California San Diego (2010), where he was a Spencer Foundation Dissertation Fellow. Prior to joining Monash in 2011, he worked at the World Bank’s Development Research Group in Washington DC. His research focuses on behavioral economics, education economics, labor economics, development economics, public economics, and health economics, employing field/natural experiments and observational data to analyze outcomes in both developed and developing nations such as Australia, Bangladesh, India, and Vietnam. He has led and contributed to research projects including the 'Reliable Affordable Clean Energy for 2030 CRC' and studies on affirmative action, energy conservation, and educational interventions. His work contributes to UN Sustainable Development Goals, particularly in reducing inequalities and promoting sustainable development. Key publications include studies on electoral competence, remote learning efficacy in Bangladesh, and the impact of housing costs on transportation. Education: PhD in Economics, University of California San Diego (2010) Grants/Projects: Multiple grants from RACE for 2030 CRC, World Bank collaborations, and randomized controlled trials in education and health. Teaching: ECC4860 (2012–2015) and ECC2400 (2016–present). Wang’s research emphasizes policy relevance, with contributions to government technical assistance and global equity initiatives. His recent articles analyze low-tech education solutions, energy conservation, and labor market dynamics, reflecting his interdisciplinary approach to socio-economic challenges.
Danielle Sulikowski is a Senior Lecturer and Associate Head of School in the School of Psychology at Charles Sturt University (Bathurst Campus). She holds a PhD from Macquarie University (2010), a BSc(Hons) from Macquarie University (2005), and a BSc from the University of New England (2003). Her research focuses on comparative cognition, integrating psychology, behavioral ecology, and evolutionary principles to study spatial cognition, attractiveness, visual attention, and lateralization in humans and animals like noisy miners. Her teaching responsibilities include PSY201 (Research Methods and Statistics in Psychology) and PSY307 (Cognition), delivered both internally and via distance learning. Key research interests span cognition, learning, perception, biopsychology, and evolutionary psychology, with projects involving human subjects and avian species. She maintains a research laboratory website for her comparative cognition work. Recent publications explore topics ranging from dark personalities in online behavior to facial symmetry studies and evolutionary mate strategies. Her work frequently bridges traditional psychology with ecological and evolutionary frameworks, emphasizing adaptive cognitive mechanisms in foraging and social behavior. No scientific awards are explicitly mentioned, though her extensive publication record reflects significant academic contribution. Teaching and advisory roles include no listed students, but her research engages with broader societal issues like domestic violence policy implications and digital media effects.
Professor Jamie Carlson is a Professor of Marketing and Deputy Head of School - Research at the Newcastle Business School, University of Newcastle. His expertise lies at the intersection of marketing, consumer behavior, and technology, with a focus on how organizations can better engage customers in increasingly digital environments. He has held significant leadership roles including Assistant Dean Research and Engagement (2018-2020) and Head of Marketing Discipline (2017-2018). Professor Carlson's educational background includes: PhD (Management) from the University of Newcastle Bachelor of Business (Honours) from the University of Newcastle Bachelor of Business from the University of Newcastle Professor Carlson's research program focuses on customer experience management, particularly at the customer-technology interface. His work spans three core areas: understanding customer engagement with physical and virtual channels, examining service design and consumer behavior in service industries, and investigating consumer adoption of e-health services. He emphasizes how consumers actively shape their consumption journeys, seeking both individualized and communal brand experiences across touchpoints, and how technology both creates value and presents challenges for consumer well-being. An analysis of Professor Carlson's recent publications reveals a strong emphasis on digital transformation in marketing, with particular focus on omnichannel retailing, metaverse applications, social media engagement, and the psychological aspects of consumer behavior in digital environments. His work demonstrates increasing interdisciplinary collaboration, connecting marketing with information systems, psychology, and healthcare domains to address complex consumer behavior questions in our technology-driven world. Professor Carlson has received numerous prestigious awards for his scholarly contributions: 2025 Jay Lindquist Best Conference Paper Award at the Academy of Marketing Science World Marketing Congress 2023 Best paper in Digital and Social Media Marketing Track at Academy of Marketing Multiple Top Cited/Downloaded Article recognitions from International Journal of Information Management (2022) 2022 Best paper award in the Australasian Marketing Journal Multiple best paper awards at Academy of Marketing conferences (2014-2017) 2010 Vice-Chancellor's Citation for Outstanding Contribution to Student Learning As a principal supervisor for PhD, DBA, and Honours students, Professor Carlson has mentored numerous successful researchers who have gone on to academic positions at institutions worldwide including Maastricht University (Netherlands), Dortmund University (Germany), Macquarie University, UTS, and the University of Adelaide. His students have received faculty medals, best paper awards, and the prestigious Arizona State University Center for Service Leadership Research Scholarship. His supervision focuses on customer engagement in digital media, service experience management, relationship quality, emotional appeals in advertising, and drivers of group travel behavior. Professor Carlson's research is conducted through multinational and interdisciplinary collaborations aligned with the Australian government's 'Growth Through Innovation' agenda and the UN Sustainable Development Goals. His work connects marketing with information systems, psychology, and healthcare to develop frameworks for understanding e-service quality, online flow experiences, customer engagement, and value creation in digital environments.
Amy Mullens is a Professor at the School of Psychology and Wellbeing , University of Southern Queensland. She serves as Research Theme Leader for Health Equity at the Centre for Health Research (CHR) and contributes to the Institute for Resilient Regions (IRR). Her work focuses on vulnerable communities , with emphasis on sexual health/HIV , diabetes , COPD , substance use , and health behavior change . Education : BA (St Catherine), MSc (North Dakota SU), PhD (QUT). She is a Fellow of the Australian Psychological Society with Clinical and Health Psychology Endorsements . Her research spans public health , gender studies , and clinical psychology , particularly transgender health , health equity , and social determinants of health . Recent work includes STI/HIV risk modeling , prison health interventions , and LGBTQIA+ mental health . Key scientific awards include: Fellow, Australian Psychological Society Clinical Psychology Endorsement Health Psychology Endorsement Accredited Supervisor (STAP) She supervises doctoral and masters students in areas like transgender incarceration , STI prevention , and health equity . Industry affiliations include clinical credentialed work with West Moreton Health Service , membership in Australasian Society of Behavioural Medicine , and advocacy through Sexual Health Society Queensland .
Guandong Xu is a Professor in the School of Computer Science at the University of Technology Sydney (UTS), where he has been employed since 2012. He also serves as the Director of the UTS-Providence Smart Future Research Centre, which focuses on disruptive technology for sustainability, and leads the Data Science and Machine Intelligence Lab dedicated to research excellence and industry innovation in data science and artificial intelligence. Dr. Xu holds a PhD in Computer Science from Victoria University, Australia, along with MSc and BSc degrees in Computer Science and Engineering. After holding various research positions at European and Australian universities, he joined UTS in 2012 and was promoted to Associate Professor in January 2017, then to Professor in January 2019. His research spans data mining, machine learning, social computing, recommender systems, text mining, predictive analytics, and user behavior modeling. He has published over 240 papers in these areas with increasing citations from academia. His recent work demonstrates a strong focus on integrating large language models with recommendation systems, causal inference in recommendation, multimodal learning, and fairness in AI systems. His publications reveal sophisticated graph-based approaches and addressing challenges in dynamic recommendation scenarios, particularly through temporal modeling and hypergraph structures. Dr. Xu has received numerous prestigious awards including the Digital Disruptors Winner for ICT Research Project of the Year (2021), eBay's Leaders' Choice Award (2021), and was elected Fellow of Institution of Engineering and Technology (IET), UK (2021) and Fellow of Australian Computer Society (ACS) (2022). He has shown strong academic leadership as founding Editor-in-Chief of Human-centric Intelligent Systems Journal, Assistant Editor-in-Chief of World Wide Web Journal, and founding Steering Committee Chair of the International Conference of Behavioural and Social Computing Conference. He has supervised over 25 high degree research students and secured over $8 million in research funding from ARC, government, and industry sources, including projects like 'Smart Personalized Privacy Preserved Information Sharing in Social Networks' and 'A Secured Smart Sensing and Industry Analytics Facility for Industry 4.0.' Dr. Xu directs the Data Science and Machine Intelligence Lab at UTS, which aligns with UTS research priority areas in data science and artificial intelligence. The lab focuses on research excellence and industry innovation across academia and industry, with particular emphasis on developing advanced techniques for recommendation systems, knowledge graphs, and multimodal learning applications.
Dr. Mai Nguyen serves as a Lecturer in Marketing at the University of Queensland's School of Business within the Faculty of Business, Economics and Law. She also maintains an honorary academic position at Thuongmai University in Vietnam, demonstrating her international academic engagement. Her career combines teaching excellence with robust research output across multiple high-impact journals. Dr. Nguyen's research portfolio centers on sustainable behaviour change, online knowledge sharing, and artificial intelligence applications in marketing contexts. Her work bridges theoretical marketing frameworks with practical business applications, particularly examining how digital technologies influence consumer behavior and knowledge management processes. Recent publications reveal an increasingly sophisticated integration of AI concepts with traditional marketing principles, reflecting her adaptability to emerging technological landscapes. Her publication record spans over 100 works including 79 journal articles, 18 book chapters, and 3 conference papers, with significant output in 2023-2025. The research demonstrates consistent thematic development from foundational knowledge management studies toward more complex AI-integrated consumer behavior investigations, particularly regarding sustainable consumption patterns and digital transformation in business contexts. Outstanding Research Award (2021) Excellence in Industry Engagement Award (2021) Outstanding Leadership Award (2021) Outstanding Paper Award in the 5th International Conference on Hospitality and Tourism (2020) Outstanding Master Thesis Award (2012) Dr. Nguyen actively supervises graduate students and maintains strong industry connections, particularly through her work on sustainable business practices and digital transformation initiatives. Her research demonstrates consistent collaboration with international scholars across Asia-Pacific institutions, reflecting her regional academic influence. She maintains active professional profiles on Google Scholar, ResearchGate, LinkedIn, and Twitter, facilitating knowledge dissemination beyond traditional academic channels.
Ishita Chatterjee is a Senior Lecturer in the Economics Program at the UWA Business School, University of Western Australia (UWA), since 2010. She holds a PhD from Monash University and has expertise in applied microeconomics, focusing on industrial organization, development economics, and gender issues. She serves on key committees including the UWA Coursework Scholarships Committee (2023–2025), and previously on the UWA Business School Research Committee (2014–2018). Her research addresses topics like human capital development, corruption, public school policies, and wellbeing of women and children. She has supervised numerous PhD, Honours, and Masters students and has received grants including the UWA Futures Fund and UWA Research Collaboration Award. Education: PhD, Competition, Commercial Piracy and Innovation, Monash University (2010) MPhil, Indira Gandhi Institute of Development Research (2006) MA, Jawaharlal Nehru University (2002) BSc, Presidency University, Kolkata (2000) Research Interests: Her work spans applied microeconomics, industrial organization, development economics, and gender-focused issues. Current projects include studies on crime/corruption, public school investments in India, and the impact of air pollution on altruistic behavior in China/India. She collaborates internationally with institutions like Saint Mary’s University (Canada) and the Central University of Finance and Economics (China). Recent Research Trends: Her publications analyze policy impacts on education, gender dynamics in family decision-making, and environmental influences on social behavior. Recent work highlights the role of institutions in addressing corruption and the effects of public policy on educational access and outcomes. Awards: UWA Business School & BHP Billiton Distinguished Research Awards (2017) Ahern Early Career Researcher Application Incentive Award (2015) Multiple UWA Research Development Awards (2014, 2011) Supervision & Grants: Supervised 5 PhD completions and numerous Honours/Masters students. Secured grants including UWA Futures Fund Small Grants (2022, 2021) and the UWA Research Collaboration Award (2022). Her work contributes to UN SDGs related to quality education and gender equality. Labs/Teams: Collaborates with the Australia-India Institute as an Honorary Fellow and co-leads projects with global partners on corruption, education, and demographic economics.
Lei Zhang is a Professor (Research) and Head of the Artificial Intelligence and Modelling in Epidemiology Program at the School of Translational Medicine, Monash University, Australia. He holds adjunct roles at institutions like Tsinghua University and is a consultant to the WHO Western Pacific Region. His expertise spans HIV/STI epidemiology, mathematical modelling, and AI-driven healthcare solutions. Education: Bachelor of Advanced Science in Mathematics (University of Sydney, 2001) Master of Science in Applied Mathematics (University of Sydney, 2003) PhD in Medicine (UNSW, 2006) Master of Public Health (Hamburg University of Applied Sciences, 2009) Research Interests: Prof. Zhang focuses on cross-disciplinary research in HIV/STI epidemiology, AI applications for disease modeling and diagnostics, health economics, and global health policy. His work integrates mathematical models with clinical data to optimize interventions and inform policy. Key Projects: HOPE: Optimizing HIV Pre-Exposure Prophylaxis (PrEP) in East Asia WHO Collaborations: Supporting global STI programs and policy development China-Australia Joint Research Center for Infectious Diseases Awards: 2021 ASRHA Innovation Award for HIV/STI research contributions Advising & Grants: Supervised 21 students (6 PhD, 15 MSc) and currently co-supervises 24 students (11 PhD, 13 MSc). Leader of 5+ major research grants, including NHMRC-funded projects on STI control and diabetes research. Labs/Teams: Leads the AI & Modelling in Epidemiology Program and collaborates with global networks like UNAIDS, the World Bank, and ministries of health across the Western Pacific region.
