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Wayne Kelly is an Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. He has over 25 years of academic experience and serves as the Academic Lead for Teaching and Learning and Course Coordinator for the Bachelor of Information Technology degree. PhD in Computer Science, University of Maryland, College Park, 1996 BSc (Hons) in Computer Science, University of Queensland, 1989 His research expertise lies in Programming Languages, Compiler Construction, and Parallel Computing, with significant contributions to High Performance Computing, Big Data, and Bioinformatics. His work has led to collaborations with Microsoft Research and over $2 million in external funding. His recent publications reflect a strong trend in parallel and distributed systems, embedded computing, bioinformatics data analysis, and remote sensing. Key themes include optimization of computational systems, memory management, and scalable data processing. Wayne Kelly has made impactful contributions to both teaching and research, guiding numerous postgraduate students and leading curriculum development in information technology. Optimizing I/O cost and managing memory for bioinformatics A communication model for streaming applications on MPSoC Ruby.NET: a compiler for the Common Language Infrastructure He is actively engaged in real-world technology development, including a project with a vision-impaired student to improve public transportation accessibility, currently trialed by transport authorities in Australia and the US.

• Programming Languages
• Compiler Construction
• Parallel Computing
• +7 more

Mark Dixon is a visiting academic at the University of Western Australia , affiliated with the Research Directorate . He serves as Associate Director, Research Ethics and Integrity , focusing on governance and ethical frameworks in research. His academic work spans E-Commerce for International Trade and Trade Finance , with a particular emphasis on digital commerce, trust-building in online environments, and cross-cultural dynamics in China.

• E-Commerce for International Trade and Trade Finance
• International Trade
• Trade Finance
• +6 more

Professor Serge Gaspers is a faculty member in the School of Computer Science and Engineering at the University of New South Wales (UNSW), specializing in algorithms for computationally intractable problems. His research focuses on parameterized algorithms, quantum algorithms, and graph theory, with applications in computational social choice and constraint satisfaction. He joined UNSW in 2012 as an ARC DECRA Fellow and later held an ARC Future Fellowship. Gaspers obtained his PhD from the University of Bergen (Norway) in 2008, followed by postdoctoral positions in Montpellier, Santiago, and Vienna. His research interests include algorithms for NP-hard problems, quantum computing, and fair resource allocation. He has been awarded grants totaling over A$2 million, including an ARC Discovery Project (DP210103849) on improved algorithms via random sampling and collaborations with Data61/CSIRO and NICTA. Notable awards include the ARC Future Fellowship (2014), IJCAI 2013 Most Educational Video Award, and DECRA (2012). Teaching: Gaspers teaches COMP6741 - Algorithms for Intractable Problems . His advising spans parameterized algorithms, quantum algorithms, and graph algorithms. Research grants highlight his work in algorithms, with a focus on turbocharging heuristics and computational complexity of resource allocation problems.

• Algorithms and complexity
• Graph algorithms
• Quantum algorithms
• +8 more

Ali Jalili is a Senior Lecturer and Australian Research Council (ARC) Future Fellow at the School of Chemistry, UNSW Sydney. He earned his PhD from the University of Wollongong (2013). His research focuses on sustainable energy technologies, plasma gas conversion, and plasma-electrocatalysis for green ammonia and hydrogen production. Key contributions include advancing renewable energy integration, scalability of chemical processes, and environmental technologies. Jalili has secured over AUD 2.8 million in grants, including ARC DECRA, Future Fellowship, and NSW Environmental Trust funding. His work emphasizes techno-economic analysis and AI-driven modeling to bridge lab-to-industry gaps. He has published 65+ peer-reviewed articles (H-index 45, 7,500+ citations), holds four patents, and actively engages in industry partnerships through PlasmaLeap Technologies. Education: PhD in Chemistry (University of Wollongong, 2013). Research interests span plasma-catalyzed nitrogen fixation, additive manufacturing of electrocatalysts, and CO₂ conversion to value-added chemicals. Supervision focuses on AI-driven catalyst discovery, plasma-electrocatalysis, and sustainable technology commercialization. Awards include ARC Future Fellowship (2023), ARC DECRA (2017), and international conference recognitions. Labs/Teams: Leads plasma research activities at UNSW, collaborating with industry on pilot systems for on-demand ammonia synthesis. Grants include AUD 1.5M NSW Environmental Trust grant (2024), ARC Discovery grants (2023, 2022), and international partnerships through UNSW-SJTU collaborations. Awards emphasize his leadership in sustainable chemical production and decarbonization strategies. His research bridges academia and industry, addressing global challenges like emission reduction and renewable energy storage.

• Sustainable Energy & Net-Zero Technologies
• Plasma Gas Conversion
• Plasma-Electrocatalysis
• +7 more

Dr. Spencer Whitney is a Research Fellow at the Australian National University's Division of Plant Sciences. His research focuses on enhancing plant photosynthesis through Rubisco engineering, leveraging synthetic biology to improve CO₂ capture efficiency. He has held prestigious ARC Fellowships and received awards for his work on Rubisco's catalytic properties and biogenesis. Key research interests include Rubisco biogenesis, enzyme kinetics, and plastome transformation. His lab explores strategies to overcome Rubisco's inefficiencies, such as directed evolution and cross-species enzyme transplantation, aiming to boost crop productivity under changing environmental conditions. Recent publications emphasize Rubisco's temperature sensitivity, cross-species applications (e.g., in cotton and potato), and synthetic biology approaches to optimize photosynthetic pathways. Collaborations span plant physiology, microbiology, and computational modeling. Dr. Whitney supervises research students and leads ARC-funded projects like the Future Crop Development Program. His work addresses global challenges in food security and climate resilience through innovative biotechnological solutions.

• Photosynthesis
• Rubisco Biology
• Plant CO₂ Capture
• +3 more

Dr. Aline Dantas de Araujo is a Research Fellow/Senior Research Officer at the Institute for Molecular Bioscience (IMB), The University of Queensland. Her research focuses on medicinal and biomolecular chemistry, with an emphasis on peptide design, protein-protein interaction modulation, and structural biology. She holds a Bachelor of Science and PhD, though institutional details are pending confirmation. Research Interests : Dr. de Araujo specializes in engineering peptides for therapeutic applications, including anticancer agents, insecticides, and fluorescent probes. Her work involves stabilizing peptides via crosslinking (e.g., selenocysteine, lactam bridges) and optimizing their biophysical properties for cell permeability and proteolytic resistance. Key projects include designing inhibitors for oncogenic proteins like c-Myc and Bcl-2 family members, as well as developing tools for complement receptor analysis. Recent Work Trends : Her publications from 2017–2022 highlight advancements in helical peptide stabilization, coiled-coil mechanics, and electrophilic peptide strategies for selective protein binding. Collaborations with groups like David Fairlie’s lab at IMB underscore her role in translational drug discovery. Grants & Equipment : She contributed to securing a 2014 UQ grant for a Continuous-Flow Hydrogenation Reactor (H-Cube Pro), supporting peptide synthesis workflows. Currently available for PhD/Master’s supervision, focusing on chemical biology and medicinal chemistry projects. Affiliations : IMB’s interdisciplinary environment enables her to engage with fields ranging from structural biology to pharmacology, leveraging UQ’s research infrastructure for impactful biomedical innovations.

• Medicinal Chemistry
• Biochemistry
• Peptide Design
• +3 more

Peter Munro serves as an Adjunct Senior Research Fellow in the School of Engineering at The University of Western Australia, specifically within the Department of Electrical, Electronic and Computer Engineering. His research profile indicates active engagement in advanced optical imaging techniques with significant contributions to the field. Dr. Munro's research expertise centers on tomography, particularly optical coherence tomography, phase contrast imaging, X-ray imaging, and image formation processes. His work bridges physics, engineering, and biomedical applications, with special focus on wave optics phenomena and biomedical imaging systems. The research demonstrates sophisticated understanding of numerical aperture, Maxwell's equations, Gaussian distributions, and detector technologies in imaging systems. Analysis of his publication record reveals consistent focus on improving imaging techniques through rigorous simulation and experimental validation. His work spans theoretical modeling of light propagation, development of novel imaging methodologies, and practical applications in biomedical contexts, particularly in understanding how microscopic structures affect image formation. Dr. Munro has secured multiple research grants, demonstrating his ability to lead and contribute to significant research initiatives in optical imaging. His collaborative approach is evident through numerous co-authored publications with researchers across various institutions. His research contributes to UN Sustainable Development Goals related to quality education, industry innovation, and good health and well-being, reflecting the practical applications of his imaging technologies in healthcare and scientific advancement.

• Tomography
• Optical Coherence Tomography
• Phase Contrast
• +5 more

Dr. Micheal Axelsen is a Senior Lecturer in Business Information Systems at the UQ Business School, University of Queensland, and serves as Deputy Director (Teaching & Learning) for Commerce Programs. He holds a PhD and is a Fellow of CPA Australia, with memberships in multiple professional organizations including ISACA and the Association for Information Systems. Affiliations: UQ Business School, School of Business, Faculty of Business, Economics and Law Education: PhD (UQ), Master's (UQ), Bachelor of Commerce (Honours) (UQ) His research focuses on Information Systems Audit , IT Governance , and Cybersecurity Governance , with notable contributions in decision aids' impact on professional knowledge and experiential IT education. He teaches in Master's programs like Business Analytics and Commerce, integrating industry insights from 15+ years as an IS consultant and Director. Publications span journals like Business and Information Systems Engineering and International Journal of Accounting Information Systems , addressing topics from low-code development to healthcare data governance. He has advised on cybersecurity strategies for government and industry, including a 2020 submission to Australia's Cyber and Critical Technology Engagement Strategy. Awards: CPA Australia Fellowship Grants/Industry Work: Seed funding projects, IS consulting for public/private sectors Current research explores cybersecurity accountability models and pedagogical innovations in information systems education.

• Information Systems Audit
• IT Governance
• Cybersecurity Governance
• +3 more

Dr. David Mount is a Lecturer in Criminology at the University of Queensland’s School of Social Science, Faculty of Humanities, Arts and Social Sciences. His career spans military intelligence, consultancy, and academia. He previously served as Commandant of Australia’s Defence Intelligence Training Centre (2003) and has 30 years of experience in the Australian Intelligence Community. He holds a PhD from UQ (2018) on investigative interviewing in policing. Education: Bachelor of Arts (Honours) from UNSW, Master of Justice from QUT, and a PhD from UQ. He teaches Global Security Regulation and cyber criminology components in UQ’s Master of Cyber Security program. Research interests focus on countering Child Exploitation Material (CEM) and offensive cyber techniques in law enforcement. Notable collaborations include work with the Australian Federal Police (AFP) on CEM triage tools and cyber policy analysis. Recent projects examine legal frameworks for 'offensive cyber' operations and privacy implications of surveillance powers. Key achievements include the TRIST decision support tool for law enforcement prioritization and the QUANTEM study on alcohol-related violence. Awards include the Commander Training Command Commendation for his leadership in intelligence training. He advises on cybersecurity education risks and has published on topics ranging from cybercrime triage to legal aspects of hacking powers. Current research explores domestic application of offensive cyber tactics under Australian law.

• Cyber Criminology
• Child Exploitation Material
• Offensive Cyber Techniques
• +3 more

Associate Professor Graeme Smith is a faculty member at the School of Electrical Engineering and Computer Science, The University of Queensland. He leads research in formal methods, focusing on the design and analysis of software systems with applications in telecommunications, railways, and defense sectors. His work includes formal object-oriented modeling, real-time embedded systems, and concurrency. He has held academic positions at institutions in Australia, Germany, and France. Currently, he leads a research cell under the Defence Science and Technology Group, addressing formal security analysis of concurrent code. Education: Bachelor (Honours) of Engineering, The University of Queensland Doctor of Philosophy, The University of Queensland Research Interests: Formal methods for functional correctness and security of concurrent programs, including refinement techniques, information flow security, and distributed systems like multi-agent systems. His work emphasizes weak memory models, hardware-software interaction, and formal verification. Articles Trends: Recent publications emphasize formal verification of concurrent systems, weak memory models, and security protocols. Key areas include compositional reasoning, vulnerability detection, and applications in ARM/POWER architectures. Grants & Funding: ARC Discovery Grants on fault-tolerant systems, distributed autonomous systems, and lock-free algorithms Defence Science and Technology Group collaboration on formal security analysis Labs/Teams: Leads a Defence-funded research cell focusing on formal security analysis of concurrent code.

• Formal Methods
• Software Engineering
• Concurrent Systems
• +4 more

Aldrin Cantila is a Research Associate at the Institute of Agriculture, The University of Western Australia, with a strong research focus on plant genomics and disease resistance in Brassicaceae species. His work primarily centers on identifying and analyzing disease resistance genes in crops like Brassica carinata, Brassica napus, and other related species, contributing significantly to agricultural science and food security efforts. Dr. Cantila's research interests span plant genomics, disease resistance mechanisms, Brassicaceae genetics, and bioinformatics approaches to crop improvement. His work involves genome-wide identification of resistance genes, evolutionary analysis of gene families, and molecular characterization of plant-pathogen interactions. His research contributes to UN Sustainable Development Goals related to zero hunger and climate action through developing disease-resistant crop varieties. Analysis of Dr. Cantila's publication record reveals a strong focus on genomic approaches to understanding plant disease resistance and stress response mechanisms. His work spans multiple Brassicaceae species and employs both experimental and computational methods. The research shows particular emphasis on identifying resistance gene analogues, analyzing heat shock responsive genes, and investigating molecular mechanisms of resistance to pathogens like Sclerotinia sclerotiorum. Dr. Cantila has an h-index of 78 with 5 citations, indicating significant impact in his field. His research output includes 13 items comprising 8 articles, 2 chapters, 2 review articles, and 1 doctoral thesis, demonstrating both breadth and depth in his scholarly contributions. As a Research Associate, Dr. Cantila collaborates extensively with researchers across multiple institutions, as evidenced by his co-authorship on numerous publications with colleagues from various organizations. His work involves both laboratory-based research and computational analysis of genomic data, contributing to the development of more resilient crop varieties through advanced genomic techniques.

• Plant Genomics
• Disease Resistance in Plants
• Brassicaceae Genetics
• +5 more

Professor Ziv Hameiri is a faculty member at the University of New South Wales (UNSW) in the School of Photovoltaic and Renewable Energy Engineering. He holds a PhD from UNSW (2011) and a BSc from Ben-Gurion University (2005). His research focuses on photovoltaic device characterization, machine learning applications in energy, and novel solar cell technologies like tandem cells and AgriPV systems. He leads the ACDC Research Group and has received awards such as the UNSW Vice-Chancellor’s Research Fellowship (2013) and ARC DECRA (2015). Education: PhD in Photovoltaic and Renewable Energy Engineering, UNSW (2011) BSc in Electrical and Computer Engineering, Ben-Gurion University (2005) Research Interests: Development of new characterization methods for photovoltaic devices Machine learning algorithms for PV applications Defect analysis in silicon and non-silicon devices Passivation techniques for solar cell surfaces AgriPV and betavoltaic device innovation Articles Trends: Recent work emphasizes AI-driven defect analysis, luminescence imaging, and tandem solar cell optimization. Over 140 journal articles and 250 conference papers highlight his contributions to photovoltaic science. Awards: Excellence Award in Industry Engagement (2023) Multiple HDR supervision awards (2021–2020) Scientist Medal (International Association of Advanced Materials, 2018) Advising & Grants: Supervised over 15 PhD/MSc students, including notable theses like Yoann Buratti’s work on machine learning for silicon cell characterization. Active in securing grants for PV innovation and industry partnerships. Labs/Teams: Leads the ACDC Research Group, focusing on transformative photovoltaic technologies. Collaborates with UNSW facilities like the Mark Wainwright Analytical Centre.

• Photovoltaics
• Solar Cells
• Machine Learning Applications in Energy
• +4 more

Mahdiar Taheri is a Research Fellow in the School of Engineering at the Australian National University (ANU). His research focuses on advanced materials and energy systems, including solar thermal applications, nanotechnology, and sustainable energy storage solutions. He leads and collaborates on projects addressing challenges in thermal energy storage, hydrogen storage, and carbon sequestration. Key collaborations involve institutions globally, emphasizing interdisciplinary approaches to renewable energy and environmental engineering. His work spans experimental, computational, and applied methodologies, with notable contributions to nanofluids, metal-organic frameworks (MOFs), and battery technologies. Research interests include: Thermal energy conversion and storage Solar-driven chemical processes Nanomaterial synthesis and applications Hydrogen and lithium-sulfur battery systems Antimicrobial coatings and environmental remediation Projects include development of packed-bed solar reactors, coral-inspired hierarchical coatings, and scalable hydrogen storage solutions. He has secured grants for initiatives like solar thermal desalination and low-cost industrial heat supply systems. Notable contributions include: Pioneering thermodiffusive desalination techniques Advancing MOF-based hydrogen storage Designing stable high-capacity Li-S batteries His lab focuses on bridging fundamental material science with applied engineering solutions for sustainability challenges.

• Material Science
• Thermal Engineering
• Nanotechnology
• +5 more

Sam Wu is a Senior Lecturer in Exercise Science at Swinburne University of Technology's School of Health Sciences, where he has been instrumental in developing the Exercise Science degree program. He also holds an adjunct Associate Professor position at Shanghai University of Medicine and Health Sciences, demonstrating international academic collaboration. Dr. Wu's research focuses on exercise physiology with practical applications for athletic performance, aging populations, and clinical conditions. His work spans compression garments for recovery, pacing strategies in cycling, hormonal responses to training interventions, subjective exercise responses, respiratory control mechanisms, and exercise interventions for health improvement across diverse populations. His research integrates biomechanical analysis with physiological measurements to develop evidence-based exercise protocols. Analysis of his recent publications reveals a strong emphasis on translational research connecting laboratory findings to practical applications. His work frequently examines biomechanical aspects of movement, physiological responses to exercise stressors, and innovative interventions for performance enhancement and health maintenance. A notable trend is his growing focus on the gut-muscle axis in aging populations and the role of extracellular vesicles in exercise adaptation. ECR SUPRA Award (2018) Dr. Wu actively supervises multiple PhD students and has secured substantial grant funding from industry partners including Lallemand Health Solutions, Cannvalate Pty Ltd, and BASF. His collaborative research network spans Australia and international institutions, with particular emphasis on translating research findings into practical applications for athletes, older adults, and clinical populations. He has developed web-based repository systems for muscle strength monitoring and investigated various nutritional and mechanical interventions for performance enhancement and recovery.

• Exercise Physiology
• Sports Science
• Health and Aging
• +5 more

Andrew Robinson is a Professor at The University of Melbourne, holding dual appointments in the School of BioSciences and the School of Mathematics and Statistics. As Director of the Centre of Excellence for Biosecurity Risk Analysis (CEBRA), he leads research on statistical and risk analysis for biosecurity threats, funded by Australian and New Zealand governments. His work bridges computational tools and natural resource management, with a focus on R programming and data-driven decision-making. Co-authored 4 influential books on R programming and biosecurity Developed icebreakeR, a popular R education resource Conducts workshops for scientists and policymakers Robinson's research spans biosecurity risk modeling, invasive species management, and statistical applications in forestry. His recent work emphasizes climate change impacts on agricultural yields, adaptive sampling strategies, and Indigenous leadership in biosecurity. He maintains active collaborations in data analytics and policy development. Selected Research Trends: Current projects focus on quantitative risk prioritization, climate change adaptation, and automated surveillance systems. Key subfields include computational biosecurity, stochastic modeling, and cross-jurisdictional policy frameworks. Robinson's laboratory, CEBRA, integrates multidisciplinary approaches to biosecurity challenges. His publications demonstrate expertise in statistical ecology, risk analytics, and policy simulation. He continues to develop R-based tools for practical applications in natural resources and biosecurity.

• Biosecurity Risk Analysis
• Statistical Modeling
• Forest Analytics
• +7 more