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Xiaoyang WangView profile

Senior Lecturer

• Graph Processing
• Graph Neural Networks
• Spatial Data Processing
• +10 more

Xiaoyang Wang is a Senior Lecturer in the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Bachelor's and Master's degree in Computer Science from Northeastern University, China, and earned his PhD from CSE UNSW. Dr. Wang's research focuses on database systems with a special emphasis on query processing and data mining on large-scale graph, spatial, and streaming data. His expertise extends to data-driven machine learning, smart contract analysis on blockchain, and FinTech with financial network analysis. His work spans Graph Processing, Graph Neural Networks, Spatial Data Processing, AI for Databases (AI4DB), Database for AI (DB4AI), and FinTech applications. His publication record shows significant contributions to the field with 7 book chapters, 56 journal articles, 61 conference papers, 7 edited conference proceedings, and 4 conference abstracts. Recent publications (2022-2025) demonstrate his strong research trajectory in advanced graph processing techniques, neural network applications, and innovative database approaches. Key themes include hierarchical contrastive learning, robust attack frameworks, temporal graph processing, influence maximization, knowledge graph-enhanced reasoning, and rumor mitigation. Dr. Wang actively recruits PhD students interested in pursuing research in related fields and encourages current undergraduate and master's students at UNSW to contact him about research opportunities. He maintains an active research agenda with practical implications for industries dealing with large-scale network data, financial technology applications, and data-intensive systems. He can be reached at xiaoyang.wang1@unsw.edu.au and is located in Engineering building K17-501D at UNSW.

• Artificial Intelligence
• Robotics
• Manufacturing Systems
• +5 more

Professor Will Browne is the Chair in Manufacturing Robotics at QUT, collaborating with the ARM Hub and CSIRO to advance robotics in manufacturing, healthcare, and industry. He holds a Doctorate in Engineering from the University of Wales and has over 30 years of expertise in AI, robotics, and Learning Classifier Systems (LCS). His research focuses on transparent AI systems like LCS for Explainable AI (XAI), human-robot collaboration, and advanced manufacturing solutions. He co-leads the $5M SfTI Robotics Spearhead project and is internationally recognized for LCS contributions, including co-authoring the first LCS textbook with Ryan Urbanowicz. Publications emphasize emotion recognition, embodied AI, and scalable machine learning. His work bridges academia and industry through the ARM Hub, fostering innovation in robotics and design-led manufacturing. Key roles include co-track chair at GECCO (2011–2025) and editorial board memberships. Research spans evolutionary computation, robotics control, and energy systems optimization.

Marnie CampbellView profile

Professor

• Marine Biosecurity
• Invasive Species Management
• Environmental Policy
• +3 more

Professor Marnie Campbell serves as the Executive Dean of the School of Science at Edith Cowan University (ECU), overseeing disciplines including Biology, Chemistry, Computing, Cyber Security, and Mathematics. She leads four research centers: the Centre for Artificial Intelligence and Machine Learning, the Centre for Marine Ecosystems Research, the Conservation and Biodiversity Research Centre, and the Centre for Securing Digital Futures. Her academic journey includes a BSc(Hons) and PhD from Murdoch University (2000). Marnie’s career spans 18 years in higher education, with 14 years in leadership roles, including Head of the School of Life and Environmental Sciences at Deakin University. She balances active research with policy translation, emphasizing stakeholder collaboration to address environmental challenges. With 12 years in non-academic roles (government, consultancy, CSIRO), she applies cross-sectoral insights to academic leadership. Her research focuses on marine biosecurity, invasive species management, and environmental policy. Notable contributions include frameworks integrating social, cultural, and ecological values in biosecurity and strategies to mitigate marine debris impacts. She has pioneered educational initiatives aligning academic programs with industry/community needs. Marnie’s honors include the 2007 Peter Morris Prize for maritime biosecurity contributions and a Queensland Smart Futures Fellowship (2012–2015). She advises international organizations like the UN and has led projects in the Galapagos Islands and Palau. Her work emphasizes bridging science and policy to address global challenges like biodiversity loss and climate change. Her leadership extends to strategic initiatives like ECU’s Centre for People, Place & Planet. She advocates for innovative education and adaptive governance models to prepare future environmental leaders. Current efforts focus on AI applications in ecological research and securing digital futures amid emerging threats.

Kai Li LimView profile

Researcher

• Electric Vehicles
• Autonomous Vehicles
• Data Engineering
• +12 more

Dr Kai Li Lim is the St Baker Fellow in E-Mobility at the Dow Centre for Sustainable Engineering Innovation , part of the Faculty of Engineering, Architecture and Information Technology at The University of Queensland (UQ) . Specializing in data engineering , telematics , and autonomous vehicle systems , his research examines electric vehicle (EV) usage patterns , charging reliability , and spatiotemporal data analysis to inform policy and sustainable transport strategies. Education : BEng (Hons) in Electronic and Computer Engineering (University of Nottingham), MSc in Computer Science (Lancaster University), PhD in Artificial Intelligence and Robotics (The University of Western Australia, funded by Australian Government Research Training Programme). Research Interests include: Electric vehicle telematics and data analytics Computer vision and deep learning for autonomous navigation Policy development for sustainable transport Infrastructure planning for EV and hydrogen systems Integration of cloud computing and IoT in mobility solutions Publication Trends reveal a focus on EV charging behaviors , data platform architectures , and autonomous driving frameworks , with recent work addressing regional emission disparities , modular safety systems , and online assessment integrity . Scientific Awards : St Baker Fellow in E-Mobility, Visiting Fellowship at UC Davis Electric Vehicle Research Center, Australian Government Research Training Programme (PhD funding). Supervision and Grants : Available for supervision, Dr Lim has secured funding from Energy Consumers Australia , iMove CRC , and Australian Urban Research Infrastructure Network (AURIN) for projects on EV charging incentives, freight emissions modeling, and longitudinal vehicle data databases. Labs and Collaborations : Collaborates with UC Davis Electric Vehicle Research Center , UQ School of Civil Engineering , and UQ School of Electrical Engineering and Computer Science . Leads the UQ Teslascope Project and contributes to the Green Australian Vehicle Ownership (GreenAVO) Capability for AURIN .

Katherine BodeView profile

Professor

• Digital Humanities
• Computational Literary Studies
• Data-Rich Literary History
• +5 more

Prof. Katherine Bode is a Professor of Literary and Textual Studies at the School of Literature, Languages & Linguistics, Australian National University (ANU). She leads research in computational literary studies, digital humanities, and Australian literary history. Her work bridges traditional literary scholarship with computational methods, focusing on digitized archives like 19th- and 20th-century newspapers. Education: PhD in English (University of Queensland, 2006); BA (Hons), PhD, Grad Cert in Education. Prior roles include ARC Postdoctoral Fellow at Sydney University and Lecturer at the University of Tasmania. She directed ANU’s Digital Humanities Hub (2011–2013) and has held ARC grants for projects on newspaper fiction and Irishness in Australian literature. From 2018–2023, she was an ARC Future Fellow exploring computing, reading, and writing in literary studies. Research Interests : Digital Humanities, computational methods for literary analysis, Australian literary history, book history, and publishing studies. Her work emphasizes data-rich approaches to cultural history and the ethical implications of AI in humanities research. Publications : Over 50 scholarly works, including books like A World of Fiction (2018) and Reading by Numbers (2012). Recent projects include analyzing global literary patterns in digitized newspapers and examining the intersection of AI with literary studies. Awards : Fellow of the Australian Academy of Humanities (2019); multiple ARC grants, including a 2023 Discovery Grant for Irishness in Australian literature. Grants & Projects : Currently leads projects like Close Relations: Irishness in Australian Literature (2023–2026) and Read all about it: Digital participation in Australian newspaper fiction (2021–2025). Prior grants include a 2020 Special Research Initiative on 20th-century newspapers. Labs/Teams : Associated with ANU’s Digital Humanities Hub and collaborates internationally on computational literary studies and AI ethics.

• Data Management
• Social Media Analysis
• User Behavior Analysis
• +4 more

Dr. Ying Zhou is a Lecturer in the School of Computer Science at The University of Sydney. She holds a BSc and MEng from Nanjing University (1997) and a PhD from the School of Computing at the National University of Singapore (2003). Her research focuses on human-centred data management, including large-scale data storage, user behavior analysis, and improving image query systems. Current projects include mining socially tagged images and accountability mechanisms for multitenant cloud platforms. Teaching responsibilities include courses on Advanced Data Models (COMP5338), e-Commerce Technology (COMP5347), and Cloud Computing (COMP5349). She collaborates with industry partners like Amazon and IBM, and advises four research students. She is a member of the Sydney Southeast Asia Centre. Her publication record spans 20 years, with recent work emphasizing machine learning applications, big data systems, and cloud security. Research trends include optimizing distributed computing frameworks (Hadoop/Spark/Flink), adversarial machine learning, and trustworthy database systems. Earlier work focused on social network analysis, web communities, and blogosphere dynamics. Current research projects address both technical challenges (e.g., efficient image search, cloud platform accountability) and applied solutions for leveraging social media data. Her lab activities involve interdisciplinary collaboration between computer science and information systems domains.

Fei XueView profile

Research Fellow

• Machine Learning
• Medical Imaging
• Electromagnetic Imaging
• +3 more

Dr. Fei Xue is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. Her research focuses on integrating machine learning with medical imaging technologies, particularly microwave imaging modalities. She holds a Bachelor's degree from Hebei University of Technology, a Master's degree from Hebei Polytechnic University, and a PhD from The University of Queensland. Current research interests include: Deep learning applications in medical imaging Electromagnetic image reconstruction Development of advanced loss functions for microwave imaging Transfer learning techniques in biomedical signal processing Utilization of large databases for training universal neural networks Her recent work explores cascaded convolutional neural networks and attention-based architectures for improved medical imaging. Earlier research focused on materials science topics including: Ti (C, N) precipitation in enamel steels Hydrogen embrittlement effects in TWIP steel Temperature measurement systems using CCD and MATLAB

Aruna Prasad SeneviratneView profile

Professor

• Cybersecurity and privacy
• Artificial intelligence
• Communications engineering
• +5 more

Professor Aruna Prasad Seneviratne serves as the Foundation Professor of Telecommunications at the University of New South Wales (Australia), where he holds the prestigious Mahanakorn Chair of Telecommunications. He is currently the Research Director for the Cyber Physical Systems Research Program within Data61, following the merger of NICTA with CSIRO. Previously, he directed the Australian Technology Park Laboratory of NICTA and led their Networked Systems research activities. Professor Seneviratne's research focuses on physical analytics - technologies enabling applications to interact intelligently and securely with their environment in real time. His recent work includes behavioral biometrics, wearable device optimization, and IoT system verification. His extensive publication record spans cybersecurity, artificial intelligence, communications engineering, and mobile technologies, with particular emphasis on integrated communications and sensing systems. His scholarly contributions include over 180 refereed technical papers and book chapters, reflecting his leadership in telecommunications and networked systems research. Professor Seneviratne's work demonstrates a consistent trajectory toward developing practical solutions for next-generation digital services and security frameworks. His scientific recognition includes prestigious fellowships at British Telecom and Telecom Australia Research Labs, underscoring his industry impact alongside academic contributions. Professor Seneviratne has supervised 30 PhD dissertations throughout his career, mentoring the next generation of telecommunications researchers. His leadership extends to directing major research initiatives at NICTA and Data61, where he has guided the development of new technologies for establishing trust, energy-efficient content storage, search, and distribution within digital economies. His laboratory work centers on the Cyber Physical Systems Research Program at Data61, where his team develops innovative approaches to secure and intelligent interaction between digital systems and physical environments.

Pouya FaridiView profile

Research Fellow

• Proteomics
• Cancer Immunotherapy
• Mass Spectrometry
• +3 more

Dr. Pouya Faridi is a Senior Research Fellow at Monash University's School of Clinical Sciences and heads the Translational Antigen Discovery Laboratory. He holds a pharmacy doctorate and PhD from Shiraz University of Medical Sciences, Iran, followed by postdoctoral research at ETH Zurich and Monash University. His research focuses on developing mass-spectrometry and proteomics technologies for identifying cancer immunotherapy targets, with clinical applications in cancer vaccines. He co-directs the Monash Clinical Proteomics Facility and leads projects funded by NHMRC, Cancer Australia, and the Victorian Cancer Agency. **Education**: PharmD, Shiraz University of Medical Sciences, Iran PhD, Shiraz University of Medical Sciences, Iran **Research Interests**: Biomarker discovery via mass spectrometry Immunopeptidome analysis for precision oncology Development of novel cancer vaccines Proteomics-based theranostics **Awards & Grants**: Victorian Cancer Agency mid-career fellowship (2021) Australian Melanoma Research Foundation Early Career Award (2021) Lead investigator on NHMRC grants targeting tumor antigens Supported by Isabella & Marcus Foundation for pediatric brain tumor research **Labs & Teams**: Translational Antigen Discovery Laboratory (Monash) Co-director of Monash Clinical Proteomics Facility Collaborations with Hudson Institute of Medical Research

Uwe RoehmView profile

Associate Professor

• Distributed Data Management on Modern Hardware
• Integrated Machine Learning with Databases
• Interactive Big Data Analytics
• +5 more

Associate Professor Uwe Roehm is a faculty member at the University of Sydney's School of Computer Science, specializing in database systems and big data analytics. He holds a PhD from ETH Zurich and joined the University of Sydney in 2004. His research focuses on distributed data management, integrating machine learning with databases, and scalable data processing for bioinformatics. Education: PhD in Computer Science, ETH Zurich (2002) Diplom-Informatics (MSc equivalent), University of Passau Research Interests: Database Systems and Transaction Processing Human-Centred Data Management Freshness-Aware Scheduling (FAS) Big Data Analytics and Cloud Computing Key Projects and Contributions: Developed Serialisable Snapshot Isolation (SSI), implemented in PostgreSQL Created the Master of Data Science program at the University of Sydney Recipient of the 2018 ACM SIGMOD Test of Time Award Awards: 2018 ACM SIGMOD Test of Time Award 2013 Dean's Award for Outstanding Teaching 2008 ACM SIGMOD Best Paper Award Teaching and Grants: Teaches courses on database systems, data science platforms, and cloud computing Principal Investigator on ARC-funded projects, including Linkage and Discovery grants Labs and Teams: Leads the Database Research Group and contributes to the Human-Centred Technology Research Cluster at the University of Sydney.

Aaron BereView profile

Senior Lecturer

• Software Engineering
• Artificial Intelligence
• Cloud Computing
• +3 more

Aaron Bere is a Senior Lecturer and Course Director in the Department of Information Technology at Torrens University Australia. He leads undergraduate programs in Software Engineering (AI), IT, and cloud computing. His research focuses on digital transformation and the application of Information and Communication Technologies (ICTs) in education, emphasizing how these technologies can enhance learning experiences and pedagogical practices. Education: Master's in Information Technology, Cape Peninsula University of Technology PhD in Information Technology, RMIT University Higher Education and Global Change, University of the Western Cape Research Interests: Bere explores mobile learning, cloud computing, and AI applications in education. His work examines the integration of digital tools like mobile instant messaging (e.g., WhatsApp) and learning management systems (LMS) to create dynamic educational environments. Key themes include technology adoption frameworks, learning analytics, and the impact of ICTs on educational outcomes. Article Trends: His publications analyze technology adoption barriers, mobile learning effectiveness, and cloud infrastructure security. Recent work addresses federated learning in cloud security and learning analytics adoption in higher education. Labs/Teams: Bere is affiliated with the Design and Creative Technology Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University. His collaborations span global institutions, focusing on ICT integration and educational technology innovation.

• Health Policy
• Genomics
• Pharmacogenomics
• +4 more

Professor Christine Lu is a globally recognized academic in clinical pharmacy and pharmacoeconomics, serving as Chair of Clinical Pharmacy at the Sydney Pharmacy School, University of Sydney. She holds a dual appointment at the Northern Sydney Local Health District and has held previous roles at Harvard Medical School and Harvard Pilgrim Health Care Institute. Her expertise spans health policy, genomic medicine, and pharmacoepidemiology, with a focus on optimizing medication use and outcomes in diverse populations. Education & Career: Dr. Lu earned her MSc (Biopharmaceuticals) and PhD from the University of New South Wales and completed postdoctoral training at Harvard Medical School. She transitioned from academic roles in the U.S. to the University of Sydney in 2023. Research Interests: Her work addresses critical issues in healthcare systems, including: Impact of health policies on medication access and outcomes Genomic healthcare (e.g., pharmacogenomics) and ethical implications Quality use of high-cost medicines and biosimilars Real-world evidence generation using linked datasets Her current projects include national analyses of precision medicine and biosimilar utilization in Australia. Publications & Impact: Over 200 peer-reviewed articles reflect her focus on disparities in chronic disease outcomes, pharmacogenetic testing, and AI-driven predictive analytics. Recent work highlights disparities in heart failure mortality among diabetes patients and the utility of genomic testing in pediatric populations. Awards & Recognition: Recipient of the Genomic Innovator Award (NIH, 2020-2025), Robert H. Ebert Career Development Award (Harvard, 2018-2020), and the Caroline Miles Award (University of Oxford, 2016). Grants & Mentorship: Leads postgraduate research scholarships in medicines policy and outcomes research. Current advisees include Harry LE (optimizing psychotropic use in dementia) and Benson YIU (biosimilar utilization analysis). She chairs multidisciplinary teams at the Sydney Pharmacy School and collaborates internationally on implementation science initiatives like the IMPULSS program for Lynch syndrome screening. Labs & Collaborations: Active in translational research through the Sydney Pharmacy School’s Clinical Pharmacy Unit, focusing on real-world data applications and health technology assessment. Collaborates with global networks including ISPOR and the Harvard Club of Australia.

Fatemeh VafaeeView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Systems Biology
• +5 more

Associate Professor Fatemeh Vafaee is a leading researcher at the University of New South Wales (UNSW) , holding appointments as Associate Professor in the School of Biotechnology and Biomolecular Sciences (BABS) and Deputy Director (Science) of the UNSW AI Institute . She previously served as Deputy Director of the UNSW Data Science Hub (uDASH) and has held academic positions at the University of Toronto and the University of Sydney. PhD in Artificial Intelligence from University of Illinois at Chicago Postdoctoral Fellowships at University of Toronto and University of Sydney Founded the AI-Enhanced Biomedicine Laboratory in 2017 Her research focuses on deploying advanced AI techniques to address biomedical challenges through: Biomarker Discovery for cancer and neurodegenerative diseases Single-Cell Multi-Omics data integration and analysis Computational Drug Repositioning and network pharmacology Multi-Omics Data Fusion and temporal network modeling Recent publications demonstrate expertise in liquid biopsy development , single-cell imaging , and AI-driven cancer diagnostics . Her methodological contributions include novel deep learning architectures for omics data analysis and graph neural networks for drug synergy prediction. Scientific accolades include: Winner, Women in AI Asia-Pacific Health Award (2023) Runner-Up, WAI-APAC Innovator of the Year (2023) Top 10 Women in AI in Asia-Pacific (2023) Australian Bioinformatics and Computational Biology Society Research Excellence Award (2023) She supervises PhD candidates across computational biomedicine and AI in healthcare , with significant grant achievements exceeding $17M in competitive funding, including schemes from ARC Discovery , NHMRC , and Medical Research Future Fund .

• Finance
• Corporate Governance
• Financial Literacy
• +7 more

Ariful Hoque is a Senior Lecturer in Finance at Murdoch University's College of Business. He holds a Doctor of Philosophy in Financial Engineering from Curtin University, a Bachelor of Civil Engineering from Bangladesh University of Engineering and Technology, and a Certified Oracle Database Administrator qualification from Oracle. His research focuses on finance, corporate governance, banking operations, FinTech, and sustainability, with a particular emphasis on green innovation, financial literacy, and market volatility analysis. Dr. Hoque's educational background includes civil engineering and financial engineering, reflecting his interdisciplinary approach to financial research. His work spans empirical studies on currency options pricing, Islamic finance resilience, and the impact of digital transformation on banks. His research interests include evaluating the role of institutional quality in green innovation, analyzing market efficiency in global financial contexts (e.g., S&P 500, Shanghai ETFs), and exploring FinTech's implications for sustainable development. He has also investigated how corporate governance structures influence banking practices, particularly in emerging economies like Vietnam and Bangladesh. His publications highlight trends in volatility analysis (e.g., implied volatility smirk prediction during crises), the interplay between financial literacy and microfinance access, and the application of big data in optimizing banking processes. His work often integrates quantitative methods with real-world policy and regulatory challenges. Dr. Hoque has not been explicitly mentioned as having received scientific awards, though his extensive publication record reflects scholarly contributions. His supervision record is not detailed here, but his research collaborations likely involve postgraduate students in finance and related fields. He has engaged in projects analyzing municipal financial conditions in Bangladesh and corporate governance in Australian firms. His affiliations include Murdoch University, where he contributes to teaching and research in finance, alongside his academic roles. His work bridges theoretical finance with practical applications in sustainability, technology, and global market dynamics.

Alina BialkowskiView profile

Senior Lecturer

• Medical Imaging
• Biomedical Engineering
• Computer Vision
• +6 more

Dr Alina Bialkowski is a Senior Lecturer at the School of Electrical Engineering and Computer Science , part of the Faculty of Engineering, Architecture and Information Technology at The University of Queensland. Her research focuses on interpretable machine learning and computer vision to enhance AI transparency and solve real-world challenges. Prior to joining UQ in late 2017, she held postdoctoral positions at University College London (2015–2017), where she studied human perception in driving, and Disney Research Pittsburgh (2014), analyzing team sports using spatiotemporal data. Dr Bialkowski earned her PhD and Bachelor of Engineering (Electrical Engineering) from Queensland University of Technology, Australia. Her doctoral research centered on group behavior analysis from visual and spatiotemporal data, with applications in sports analytics and intelligent surveillance systems. Her research interests span medical imaging (especially electromagnetic imaging of strokes), human attention modeling in driving, intelligent transport systems , surveillance systems , and sports analytics . She emphasizes explainable AI to bridge the gap between technical systems and human understanding, employing methods like feature visualization and attribution. Her work also explores sensors for non-invasive imaging and machine learning frameworks to ensure ethical AI. Dr Bialkowski has received significant recognition, including the Best Paper Prize at the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) . Her research has led to 6 international patents with collaborators such as Disney Research, Toyota Motor Europe, and The University of Queensland, focusing on electromagnetic imaging and AI-driven solutions. She actively contributes to interdisciplinary projects like The Lanyard Project (traffic sensor fusion) and co-authored a SmartSat CRC-funded research report on machine learning for satellites. Dr Bialkowski is available for supervision and advocates for AI systems that integrate human-centric principles into their design and evaluation.