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Professor J. Joshua Thomas is a distinguished academic at University of Wollongong Malaysia, specializing in intelligent systems and advanced computational techniques. He holds a PhD in Intelligent Systems Techniques from Universiti Sains Malaysia (2015) and a Master's degree in Computer Science from Madurai Kamaraj University, India (1999). Professor Thomas has demonstrated strong leadership in academic administration, having served as Head and Deputy Head of the Department of Computing between 2012 and 2017. His research focuses on intelligent systems and interdisciplinary computational algorithms, with recent work emphasizing Deep Learning, Graph Convolutional Neural Networks (GCNN), Graph Recurrent Neural Networks (GRNN), Hyper-Graph Attention Networks, and Quantum Machine Learning. Professor Thomas's projects span diverse applications including end-to-end steering learning systems, algorithm design in drug discovery, and advanced data analytics for electricity consumption and carbon price forecasting. Professor Thomas maintains an impressive publication record with over 50 peer-reviewed publications and 12 books with publishers including Wiley, Elsevier, and IGI Global. His research is supported by multiple active grants at institutional, national, and international levels, including projects on cancer survivor well-being and AI bias in smart cities. Best Paper Award at SCI 2025 Oracle Cloud Infrastructure 2024 Generative AI Certified Professional 2022 Global Staff Awards (UOWGE) - Excellence In Research Winner V-MIIEX2021: COVIDNet - GOLD AWARD Fundamental Research Grant Scheme (FRGS) recipient (2019) As an active researcher and educator, Professor Thomas serves as Principal Investigator on multiple grants, supervises PhD and Master's students, and regularly delivers keynote addresses at international conferences. His collaborative spirit is evident through partnerships with institutions in India, USA, China, and Germany, fostering knowledge exchange and innovation across disciplines.

• Intelligent Systems
• Deep Learning
• Graph Neural Networks
• +5 more

Dr. Yii Kwang Jing serves as Senior Lecturer and Associate Dean (Accreditation and Curriculum Enhancement) at Swinburne University of Technology Sarawak Campus's Faculty of Business, Design and Arts. With a PhD in Financial Economics from Universiti Malaysia Sabah, he integrates academic leadership with active research and teaching in finance and economics. His educational qualifications include a Bachelor of Education (Honours), MBA, Graduate Certificate in Learning and Teaching (Swinburne), and Master of Clinical Addiction and Professional Development Award (University of Melbourne). These diverse credentials underpin his interdisciplinary approach to financial education and research. Dr. Yii's research spans Financial Economics, Energy Economics, and Behavioural Finance, with emphasis on cryptocurrency risk, blockchain applications, and sustainable finance. He employs advanced econometric methods including Structural Equation Modeling to analyze market behaviors and policy impacts, consistently targeting real-world economic and social applications through high-impact publications. His publication record shows strong momentum with multiple 2025 journal articles and book chapters on cryptocurrency portfolios, FDI determinants, and sustainable seafood consumption. Recent work increasingly intersects finance with environmental sustainability and digital innovation, reflecting evolving research priorities in green finance and AI-driven solutions. 2025: Emerald Top Downloaded Articles (Journal of Responsible Production and Consumption) 2024: Vice-Chancellor’s Future-Focused Award (Highly Commended), WILEY Top Cited Article, Multiple UNIMAS InTEX Awards 2023-2022: Teaching Excellence Award, Community Engagement Award, Gold Awards at UNIMAS InTEX 2021-2015: Best Paper/Presenter Awards at international conferences Dr. Yii actively mentors five graduate students across PhD and Master's programs while securing competitive grants including FRGS-funded macroeconomic transition risk research and Swinburne's AI sustainability project. His industry consultancy with UNICEF, BYG Group, and government agencies demonstrates strong academic-practitioner linkages. He founded the Bursa Young Investor Club to bridge classroom learning with financial industry exposure.

• Financial Economics
• Energy Economics
• Behavioural Finance
• +2 more

Dr. Voon Mung Ling serves as Senior Lecturer and Associate Dean for Research & Development at Swinburne University of Technology Sarawak Campus's Faculty of Business, Design and Arts. With a PhD from UNIMAS in leadership practices, she maintains active roles in both academic leadership and research innovation. Her research spans: Human Resource Management and Leadership dynamics Women Entrepreneurship and gender studies Sustainable Tourism and community-based development Workforce re-entry barriers for marginalized groups Current projects examine Sarawak's aging population, medical tourism opportunities, and digital transformation in HR practices. Recent publications (2021-2025) demonstrate interdisciplinary reach across tourism economics, gender studies, and educational technology, with notable 2025 articles on LGBT media representation and smart home adoption. Her work consistently addresses Malaysian socio-economic contexts while engaging international collaborators. Award highlights: 2025 Gold Award for Smart HR Initiative (Unimas Digital Technology Nexus) 2024 Community Engaged Excellence Research Award 2019 Emerald Interdisciplinary Research Award (Highly Commended) Multiple UNIMAS Innovation Exhibition recognitions As an active grant recipient, she manages projects totaling over RM86,000 with Sarawak government ministries and international partners. Her leadership extends to editorial roles including the International Journal of Educational Management's Editorial Advisory Board and committee positions with the Malaysian Institute of Human Resource Management.

• Human Resource Management
• Leadership
• Women Entrepreneurship
• +5 more

Associate Professor Fung Chorng Yuan serves as Head of School (Business) at Swinburne University of Technology Sarawak Campus within the Faculty of Business, Design and Arts. With over 20 years of combined industry and academic experience, he holds Fellow status with ACCA (since 2000) and Chartered Accountant designation with MIA (since 1998), alongside serving on the ACCA Malaysian Advisory Committee (2023-2025) and MIA Sarawak Regional Committee (2018-2026). His educational background includes: PhD in Educational Psychology (Universiti Sains Malaysia) M.Sc. in Human Resource Development (UNIMAS) Graduate Certificate in Learning and Teaching (Higher Education) Fellow Member, Association of Chartered Certified Accountants (ACCA) Professor Fung's research spans corporate reporting, human resource development, emotional intelligence applications, and AI-integrated higher education pedagogy. His interdisciplinary approach connects accounting rigor with psychological frameworks, recently focusing on generative AI's role in educational assessment and emotional intelligence in remote learning environments. He developed the CARE pedagogy (Context, Application, Reflect, Evaluate) enhancing critical thinking across accounting curricula. His 15 most recent publications (2024-2025) reveal strong thematic clustering in corporate governance (tax avoidance/sustainability disclosures with gender diversity), AI in education (assessment strategies, HR management applications), and emotional intelligence in organizational contexts. Methodologically, he employs mixed approaches from structural equation modeling to qualitative transdisciplinary frameworks, primarily targeting emerging economy contexts with global relevance. Key recognitions include: eCONDEV 2025 Gold Award for AI Accounting Education International Teaching Aid Competition 2025 Gold Medal National Outstanding Educator Certificate of Merit (2024) Swinburne Teaching Excellence Award (2021) Best Presenter Award, Asia Pacific Marketing Conference (2021) Professor Fung actively supervises master's and PhD students while leading multiple funded projects including Swinburne Learning and Teaching grants on AI tutoring (2025), UNICEF child wellbeing initiatives (2023), and international collaborations with Vietnamese and Thai universities. His YouTube channel 'Dr. CY Fung’s classroom' provides dedicated research education resources adopted by partner institutions. Current research emphasizes practical AI implementation in accounting education and sustainability reporting frameworks within Southeast Asian contexts.

• Corporate reporting
• Human resource development
• Emotional intelligence
• +2 more

Dr. Andrew Childs is a Lecturer in Criminology at Griffith University's School of Criminology and Criminal Justice and a member of the Griffith Criminology Institute (2022-present). His academic work focuses on the intersection of technology and crime, with particular expertise in cybercrime phenomena. Dr. Childs' research program blends digital sociology, Science and Technology Studies, and criminological theory to investigate three key areas: the development of online illicit markets, the social organization of cybercrime communities, and the criminogenic affordances of disruptive technologies such as cryptocurrency, artificial intelligence, and the metaverse. His work has pioneered research into emerging digital crimes, including some of the first published studies on social media drug markets, organized identity fraud during the pandemic, and cryptocurrency scam victimization processes. Analysis of Dr. Childs' publication record reveals a strong focus on digital drug markets, cryptocurrency crime, and innovative research methodologies. His work spans both theoretical contributions to criminological understanding of online spaces and practical investigations into specific crime phenomena. The consistent appearance of his research in high-impact journals demonstrates the significance and quality of his scholarly contributions to the field. Dr. Childs has received notable recognition for his work: 2023 Student Experience of Teaching (SET) Survey Commendation Three research outputs featured in Altmetric's Top 5% of all research outputs tracked Work cited in policy documents from 15 different countries Regular media commentary for outlets including ABC News, BBC News, and VICE Dr. Childs has secured significant research funding, including an ECR Research Grant valued at $72,761 for retail fraud research and a Griffith Criminology Institute Strategic Development Grant of $6,093 for research on online retailer fraud services. He currently supervises multiple doctoral students on projects related to cybercrime, including research on financial institution partnerships to prevent child sexual exploitation and dark web drug marketplace disruptions. As of August 2025, his work has received 408 citations with an h-index of 7 (Google Scholar) and a Field-Weighted Citation Impact of 2.12 (SciVal). Based at Griffith University's Nathan Campus, Dr. Childs is an active member of the Griffith Criminology Institute and the Arts Education and Law Group, contributing to interdisciplinary research on crime, justice, and technology.

• Cybercrime
• Human factors of cybercrime
• Digital sociology
• +6 more

Associate Professor Simon Kwok is an academic in the School of Economics at The University of Sydney. He holds a PhD in Economics from Cornell University (2012), along with a BSc (Hons) and MPhil from HKU. His research focuses on time series econometrics, statistics, and finance, with particular expertise in specification tests of time series and point process models, tests of Granger causality, and their empirical applications. His research interests span multiple areas of financial economics: Asset and Derivative Pricing High Frequency Finance Program Evaluation Market Microstructure Credit Contagion Financial Contagion Professor Kwok's recent publications demonstrate a strong focus on cryptocurrency markets, financial bubbles, and high-frequency data analysis. His work often involves collaborations with researchers like Robert Jarrow and Michael Leong. His research has practical implications for risk management, portfolio construction, and understanding market dynamics, as evidenced by his 2023 study finding that high-risk cryptocurrencies generally underperform their low-risk counterparts. His notable scientific contributions include: Developing tests for autocorrelated jump occurrences in financial markets Studying asset price bubble dynamics and explosion time characterization Investigating Bitcoin spillovers and cryptocurrency risk exposures Creating the PCDID Approach for Difference-in-Differences analysis Professor Kwok supervises graduate students in econometrics, statistics, and finance. He is currently advising John BILSEL on "Long term Stock-Bond Correlation Dynamics." His work has received funding for research in financial econometrics and time series analysis, with applications to market microstructure and financial contagion. He is also a member of The University of Sydney Nano Institute, indicating interdisciplinary research interests that extend beyond traditional economics into complex systems analysis.

• Time Series Econometrics
• Statistics
• Finance
• +7 more