Andrew Mitchell is a Professor at the Faculty of Law, Monash University, and a member of the WTO Dispute Settlement Panelists Indicative List. He has extensive legal practice experience with Allens Arthur Robinson and consults for governments, international organizations, and the private sector. Mitchell has taught law in Australia, Canada, Indonesia, Singapore, and the US. He holds law degrees from the University of Melbourne, Harvard Law School, and a PhD from the University of Cambridge. His research focuses on international economic law, public international law, and digital trade governance, with a particular emphasis on the intersection of trade law and public health. Mitchell has secured six major grants, including an Australian Research Council Future Fellowship, and has authored over 170 books and articles. He serves as an editor for Edward Elgar’s International Economic Law Series and multiple journal editorial boards. Recent projects include 'Safeguarding Health in International Investment Agreements' (2022–2025) 'Maritime Cooperation for a Sustainable Indo-Pacific' (2021–2022) 'Global E-Commerce and Cottage Industries in India' (2020–2021) He has contributed to policy submissions on bilateral investment treaties and delivered lectures on data sovereignty and digital trade. His awards include editorial leadership roles at journals like the Journal of World Investment and Trade and Asia Pacific Law Review .
Halil Ali is a Lecturer in Data Science (Education Focused) at the School of Computing Technologies, RMIT University. His research spans privacy-preserving machine learning, blockchain technologies, and cybersecurity. Key research areas include federated learning , quantum-enhanced AI , secure biometrics , edge unlearning , and privacy in healthcare data . His recent publications focus on resilient AI systems , blockchain applications , and ethical data handling in emerging technologies. His work demonstrates expertise in integrating machine learning with blockchain security across domains like IoT, smart grids, and metaverse healthcare. He contributes to practical frameworks for zero-trust architectures , lightweight consensus protocols , and quantum-classical hybrid models .
Roles and Affiliations: Professor David Levinson is a Professor of Transport in the School of Civil Engineering at the University of Sydney since 2017. He holds adjunct faculty status at the University of Minnesota's Department of Civil, Environmental, and Geo-Engineering (since 1999–2016). He previously directed the Accessibility Observatory and the Networks, Economics, and Urban Systems (NEXUS) research group. He is a member of The Net Zero Institute and leads the TransportLab research group. Education: PhD 1998 in Urban and Regional Planning from the University of California, Berkeley. Research Interests: Focuses on transportation networks, urban systems, accessibility analysis, and policy. Key themes include spatial equity, transport economics, and the co-evolution of land use and transport infrastructure. His work emphasizes data-driven approaches to urban mobility challenges, including modeling transport networks and evaluating infrastructure impacts on accessibility and equity. Grants and Projects: Recent grants include Design of micro-decisions in automated transport (2022, ARC) and Reducing pedestrian crashes through better intersection design (2021, Australian Road Safety Innovation). Collaborates internationally on projects like the Accessibility Observatory. Labs and Teams: Leads the TransportLab and collaborates with the NEXUS group. Active in interdisciplinary research, including urban analytics and transport policy.
Dr. Sirui Li is a Lecturer at Murdoch University's School of Information Technology within the College of Science, Technology, Engineering and Mathematics. Her research focuses on Artificial Intelligence, Natural Language Processing (NLP), Machine Learning, Knowledge Graphs, Data Analysis, Temporal Data, and Multi-modal Models, with applications in medicine, agriculture, and mining. She collaborates with industry partners like BHP and has published in journals such as Food Chemistry and Knowledge and Information Systems , as well as conferences like ICSME and IJCNN. Education: Bachelor of Advanced Computing (Honours) in Computer Science at Australian National University Master of Computing (Specialising in AI) at ANU Ph.D. in Information Technology (AI) at Murdoch University Research interests include interdisciplinary applications of AI, such as clinical coding privacy solutions, disease spread modeling, and drug repurposing for pandemics. Her work emphasizes practical industry integration, demonstrated through awards like the 2024 EMNLP Best Demo Award and the 2023 Iron Ore Circuit Hackathon innovation prize. Professional roles include IEEE Western Australia Section committee membership, conference chair positions, and peer review for top journals. She actively mentors students pursuing Honours, Master's, or PhD projects in her areas of expertise.
Dr. Dmytro Matsypura is an Associate Professor in the Discipline of Business Analytics at the University of Sydney Business School. He holds a BA (Hons) from Kyiv Polytechnic Institute (KPI), an MS (Hons) from KPI, and a PhD from the University of Massachusetts Amherst. His research focuses on optimization methodologies, network science, and their applications in finance, transportation, ecology, and graph theory. He is a recipient of multiple teaching awards, including the Wayne Lonergan Outstanding Teaching Award (Early Career) in 2010. Education: PhD in Management Science, University of Massachusetts Amherst (2006) MS (Hons) in Information Systems, Kyiv Polytechnic Institute (2000) BA (Hons) in Business Administration, Kyiv Polytechnic Institute (1998) Research Interests: Dr. Matsypura’s work spans operations research and management science, with a focus on mathematical optimization and network science. His methodological contributions include developing efficient optimization algorithms, while his applied research addresses real-world challenges in finance, engineering, and ecology. Notable applications include wildfire fuel management, portfolio margining, and credit card fraud detection via graph-based models. Awards and Recognition: Teaching Excellence Award (2008, 2013, 2018) Wayne Lonergan Outstanding Teaching Award (Early Career) (2010) Grants and Projects: Current projects include Bushfire Analytics: Optimization of Fuel Reduction (2023, ARC Discovery Project). His research frequently integrates interdisciplinary collaborations, such as applying graph theory to biomedical problems and cybersecurity. Labs/Teams: Active in the Sydney Environment Institute, contributing to projects at the intersection of analytics and sustainability. Collaborates with industry on fraud detection and supply chain optimization.
Sushmita Ruj is an Associate Professor in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. She serves as the Faculty of Engineering Lead for the UNSW Institute for Cybersecurity (IfCyber) and as the Taste of Research (ToR) Coordinator within the School of Computer Science and Engineering. Her academic journey includes previous positions as a Senior Research Scientist at CSIRO's Data61 (2019-2022), Associate Professor at the Indian Statistical Institute, Kolkata, and Assistant Professor at the Indian Institute of Technology (IIT), Indore. Dr. Ruj's primary research interests focus on applied cryptography, post-quantum cryptography, cybersecurity, blockchains, and data privacy. She designs practical, efficient, and provably secure protocols for real-life applications, with particular emphasis on critical infrastructure including smart grids, cloud computing, ad hoc networks, and data sharing frameworks. As quantum technology advances, her work increasingly focuses on developing quantum-safe algorithms to ensure a more secure Internet infrastructure. Her research spans multiple domains including cryptographic key management, proofs of storage, verifiable computation, vector commitments, and privacy-enhancing technologies for cloud and IoT environments. Her recent publications demonstrate a strong trend toward post-quantum cryptography solutions, with particular emphasis on blockchain applications, DNS security, and privacy-preserving protocols for industrial IoT. The research shows increasing focus on practical implementations of theoretical cryptographic concepts, with applications across multiple sectors including finance, healthcare, and critical infrastructure. Her work bridges the gap between theoretical cryptography and real-world security challenges, with growing emphasis on the transition from classical to quantum-resistant systems. Best Paper Award at ACISP 2024 JNCA Best Survey Award (2023) NSW Innovation Award (iAward) Merit Winner (2022) Women in Science Award from CSIRO (2020) ACM Senior Member (2016) IEEE Senior Member (2015) Samsung GRO award (2014) Dr. Ruj has successfully mentored numerous PhD and Master's students, with many of her former students now holding academic positions at institutions like IIT Indore, TU Wien, and CISPA Helmholtz Center. She has secured significant competitive funding including multiple Australian Research Council (ARC) grants, Samsung GRO Award, NetApp Faculty Fellowship, Cisco Academic Grant, and IBM Research grant. Her current research portfolio includes projects on blockchain-based quantum-safe digital medical passports, embedding trust in digital IDs, and resilience of supply chain unstructured data. As Faculty of Engineering Lead for IfCyber, Dr. Ruj plays a key role in UNSW's cybersecurity research initiatives. She has served on editorial boards for prestigious journals including IEEE Transactions on Information Forensics and Security and has held leadership positions in major conferences such as ACISP 2021 and Indocrypt 2020. She was also a member of the working group on "Blockchain For Cybersecurity" for the National Blockchain Roadmap of Australia and the first Blockchain Working group set up by the Reserve Bank of India.
Associate Professor Nicole Hartley serves as MBA Director at UQ Business School and Future of Health Research Hub Lead at The University of Queensland. With 19 years of academic experience across institutions in Sydney and Queensland, she holds appointments across multiple faculties including Business, Economics and Law; Health, Medicine and Behavioural Sciences; and Engineering, Architecture and Information Technology. Her academic affiliations span the Centre for the Business and Economics of Health, Centre for Enterprise AI, and Queensland Digital Health Centre. Dr. Hartley is an internationally recognized research academic specializing in services marketing and digital technology. Her research interests encompass service technology, virtualized services, customer preference and adoption, new media, service innovation, and corporate digital responsibility. She particularly focuses on customer perceptions in response to technological disruption in service delivery, with special emphasis on healthcare services. Her work bridges business, technology, and healthcare domains, examining how digital transformation affects consumer behavior and service experiences. Her extensive publication record demonstrates consistent research output across multiple disciplines, with recent work concentrating on telehealth implementation, corporate digital responsibility, consumer trust in digital environments, and healthcare service innovation. The interdisciplinary nature of her research connects marketing theory with practical healthcare applications, particularly in the context of digital transformation and service delivery. Dr. Hartley has successfully supervised numerous PhD candidates to completion and currently mentors several doctoral students working on topics ranging from sustainable consumption to healthcare innovation and digital service experiences. Her research has been supported by significant funding from Queensland Health, NHMRC, and other organizations, focusing on telehealth, digital service transformation, and healthcare innovation. As Director of MBA and Executive Education at UQ Business School, Dr. Hartley combines her academic expertise with practical industry experience, having previously worked as Marketing Manager/Director in tourism, education, and communication industries in Australia and the UK. She is an award-winning educator with expertise in marketing strategy, digital media, consumer behavior, and experiential industry-based projects.
Steve Worthington is an Adjunct Professor at Swinburne University of Technology's School of Business, Law and Entrepreneurship in Melbourne, Australia. Previously, he held a Professorship in Marketing at Monash University until 2013. His research focuses on financial services distribution via electronic channels, payment systems regulation, and cross-cultural financial practices. He has contributed extensively to academic journals such as the International Journal of Bank Marketing and practitioner outlets like The Financial Times and ANZ's BlueNotes . His work includes analyses of payment card markets in China and Japan, regulatory interventions in Australia's payment system, and expert testimony on financial services marketing disputes. Worthington's research interests span payment systems innovation, consumer behavior in financial contexts, and the intersection of technology with financial services. Notable contributions include studies on cashless society debates, payment fraud dynamics, and the cultural dimensions influencing financial product adoption. He frequently engages with industry conferences and media, offering insights into emerging trends like digital payment adoption and regulatory challenges in the financial sector. His publications highlight interdisciplinary approaches, blending economic policy analysis with marketing strategy. Key themes include the societal implications of cash decline, fairness perceptions in financial services, and the ethical dimensions of payment technologies. Despite no explicit awards listed, his prolific media engagement and advisory roles reflect recognition of his expertise in payment systems and financial markets.
Dr. Farzana Aman Tanima is a Senior Lecturer at the University of Sydney Business School’s Accounting, Governance, and Regulation department. She previously held roles at the University of Wollongong (2017–2023). Her research focuses on critical and dialogic accounting, social justice, and challenging neoliberal frameworks through participatory approaches. Born in Bangladesh, she earned her PhD in 2015 from Victoria University of Wellington, New Zealand, with a thesis on dialogic accounting practices for marginalized women. Education: PhD in Accounting, Victoria University of Wellington, 2015 Undergraduate Honours Degree, Victoria University of Wellington Research Interests: Dr. Tanima’s work centers on dialogic accounting to democratize accounting practices, with focus on NGOs, microfinance, Indigenous education, and race. She employs participatory action research and autoethnography to address systemic inequalities. Key areas include: Accounting’s role in empowerment and development Decolonizing accounting education through Jindaola Critical race theory and counter-accounting Awards: 2024 Mary Parker Follet Award (AAAJ Journal) 2020 VC OCTAL Teaching Award 2015 AFAANZ Best PhD Award Teaching & Mentorship: She leads pedagogical initiatives embedding Indigenous perspectives into curricula and fosters dialogic learning. Supervised two completed PhDs, with co-authored publications. Active in mentoring early-career researchers through invited talks and workshops. Labs/Teams: Part of the Alternative Accounting Research Network and editorial boards for CPA Journal and Financial Accountability & Management . Co-leads special issues on critical dialogics and publicness in accounting.
Nurul Alam is a Lecturer in Accounting at the University of Sydney Business School. His research focuses on machine learning applications in finance and accounting, corporate distress prediction, and financial reporting. He holds a PhD from the University of Sydney, where he investigated machine learning models for US corporate bankruptcies. His teaching excellence has earned over 15 awards, including multiple Dean’s Citations and nominations for the Wayne Lonergan Award for Teaching Excellence. Education Master of Commerce (Finance & Accounting), University of Sydney Bachelor of Business Administration (Finance & Banking), University of Rajshahi, Bangladesh Research Interests Machine Learning and Deep Learning in accounting and finance Big Data analytics for corporate financial decision-making Accounting fraud detection mechanisms Financial reporting standards and regulations Current Projects Corporate bankruptcy prediction using survival models and AI Deep Learning applications in panel data analysis for firm distress Machine learning variable selection in corporate finance Accounting fraud patterns among lower/mid-level employees Teaching Contributions Financial Accounting B (ACCT3011) Quantitative Methods for Accounting (QBUS5002) Quantitative Business Analysis (BUSS1020)
Associate Professor Steven Lu is a faculty member at the University of Sydney Business School, serving as Deputy Head of Discipline (Education). He holds a PhD in Marketing from the University of Toronto, an MA in Economics from York University, and a BA from Nankai University. His research focuses on quantitative modeling, machine learning, and big data analytics applied to digital economy challenges such as digital retailing, search advertising, and blockchain. He co-directs the Consumer Insights Research Group and is affiliated with the Sydney Institute of Agriculture. Dr. Lu has published in top journals including Marketing Science , Production and Operations Management , and Journal of Retailing . His awards include the CNS Vithala Rao Award, ANZMAC Best Paper Awards (2022-2024), and the 2021 Vice Chancellor's Teaching Award. He teaches courses on machine learning in marketing, marketing research, and new product development. He leads research grants such as 'The Era of Mobile Payment' (2021) and 'Digital Transformation of Food Sensory Quality' (2017). His advising focuses on topics like neural recommender systems, e-coupon effectiveness, and heterogeneous treatment effects analysis.
About Vipul Jain: Associate Professor Vipul Jain leads Supply Chain and Logistics Management at RMIT University’s School of Accounting, Information and Supply Chain Management. With over 20 years of academic experience, he has held senior roles at institutions like Victoria University of Wellington (NZ) and IIT Delhi (India), contributing to curriculum development, research strategy, and academic-industry collaboration. His international collaborations span over 20 global institutions, emphasizing interdisciplinary research in supply chain resilience, sustainability, and Industry 4.0. Education & Academic Leadership: Previously served as Programme Director for Master of Technology (Industrial Engineering) at IIT Delhi, leading the establishment of the Modelling and Analysis of Supply Chain (MASC) Lab. Holds editorial roles for journals like International Journal of Intelligent Enterprise and Computers & Industrial Engineering . Research Focus: Specializes in supply chain design, sustainability, circular economy, and business analytics. His work integrates ICT and big data to address complex supply chain challenges, with notable contributions to vaccine distribution, blockchain adoption, and post-pandemic resilience. Over 145 peer-reviewed publications, including high-impact journals like OMEGA and International Journal of Production Economics , reflect his prolific output. Industry Impact: Conducted management training for organizations like JCB and IBM. Served as an expert assessor for New Zealand’s Ministry of Business and Industry and advised the Indian Railways. His research has been funded by the Department of Science and Technology (India) and EU initiatives like FP6 I*PROMS. Awards & Recognition: Ranked #7 in India’s top logistics academics (2018), recipient of Literati Awards (2024, 2020), and multiple editorial leadership roles. Active in global conferences, including co-chairing ANZAM 2023. Labs & Collaborations: Founded MASC Lab at IIT Delhi. Collaborates with Coventry University, Monash University, Hong Kong Polytechnic, and institutions in Switzerland, Spain, Canada, and the U.S. Focus areas include sustainable supply chains, digital transformation, and crisis resilience.
Professor Ryan Ko is a leading academic in Cyber Security at the University of Queensland (UQ), serving as Chair and Director of the UQ Cyber Research Centre, Director of Research at the School of Electrical Engineering and Computer Science, and a member of UQ's Academic Board. He holds a BEng (Computer Engineering) and PhD from Nanyang Technological University, Singapore. His research focuses on data provenance, industrial control systems (ICS) security, privacy-preserving technologies, and AI-driven cybersecurity solutions. Ko has pioneered initiatives such as the UQ Cyber Centre, interdisciplinary cybersecurity education programs (MCyber, PGDipCyber), and the Oceania Cybersecurity Challenge. He has attracted over AUD 20 million in competitive grants as lead investigator, including the NZ$12.2M STRATUS project. Ko’s work spans industry and policy, including advisory roles with INTERPOL, governments, and NGOs. He has authored over 100 publications, contributed to ISO standards (e.g., ISO/IEC 21878), and co-founded cybersecurity startups. Awards include Fellowships from the Australian Computer Society and Queensland Academy of Arts and Sciences, and the CSA Ron Knode Service Award. Education: Bachelor of Engineering (Computer Engineering) (Hons.), Nanyang Technological University (2005) PhD in Computer Science, Nanyang Technological University (2011) Awards: Fellow, Australian Computer Society (2016) Fellow, Queensland Academy of Arts and Sciences (2020) Young Professional Award, Singapore Government (2018) Grants & Leadership: AUD 20M+ lead investigator grants; NZ$12.2M STRATUS project (2014–2018) Established UQ Cyber Centre (2019) and NZ’s first cybersecurity graduate program (2012) His research emphasizes returning data control to users, with applications in agriculture, energy, and critical infrastructure. Ko’s contributions include patents, open-source tools (e.g., Kali Linux), and frameworks like TrustCloud for cloud accountability.
Dr. Omkar Prabhakar Dastane is a Senior Lecturer and Director of Postgraduate Studies at the Malaysia School of Business, Monash University Malaysia. He holds a PhD in Business from Curtin University and certifications including Certified Management and Business Educator (CMBE) from CABS, UK, and HRDF-approved trainer status in Malaysia. His research focuses on technological impacts on businesses, digital consumer behavior, and customer value perception, with publications in A-ranked journals like the Journal of Retailing and Consumer Services and Asia Pacific Journal of Marketing & Logistics . He has secured MYR 157,549 in research grants and received notable awards like the Best Paper Awards (2017/2018) and Emerald Literati Award (2024). Dr. Dastane has held leadership roles including Head of MBA Programs and Head of Postgraduate Studies at top-tier institutions. He actively contributes to editorial roles for journals like Arab Gulf Journal of Scientific Research and reviews for SSCI/SCIE-indexed publications. His teaching emphasizes strategic branding and services marketing, integrating AR/VR tools for immersive learning. He has also led educational visits across ASEAN countries. His research interests span metaverse applications in business, immersive technologies, and contemporary consumer behavior trends. Recent work explores AI-driven services, live-stream commerce, and digital transformation's role in achieving UN SDGs. He has advised on over 200 research projects and secured multiple teaching grants including the 2025 Learning & Teaching Grant.
Associate Professor Sam Kirshner is a faculty member at the University of New South Wales within the School of Information Systems and Technology Management . His research focuses on behavioral decision making , algorithmic impact on operations , and artificial intelligence applications in business contexts. PhD in Management Science from Queen’s University, Canada Teaching expertise in data visualization, predictive analytics, and AI ethics Co-author of Business Analytics: A Management Approach Member of the Ethical AI Advisory His research explores how psychological distance and construal level theory influence decisions in supply chains, technology management, and consumer behavior. Recent work examines ChatGPT's decision biases , algorithm aversion , and sustainable operations under financial constraints. Key publication trends show focus areas: AI ethics and human-AI collaboration Behavioral supply chain analysis Temporal/spatial psychological distance effects CO2 forecasting with sparse data Consumer behavior in digital platforms Virtual reality and cognitive processing Supervision roles include mentoring 2 PhD students and 6 honors students, contributing to the next generation of scholars in business analytics and technology management.
