جست‌وجوی استاد و پژوهشگر

Adam Burkeمشاهده پروفایل

پژوهشگر ارشد

• Process Mining
• Stochastic Modeling
• Blockchain Technology
• +۳ مورد دیگر

Adam Burke is a Research Fellow at Queensland University of Technology (QUT), affiliated with the School of Information Systems and Department of Information Systems. He holds a PhD in Process Mining with Labelled Stochastic Nets (2024). His research focuses on process mining, stochastic modeling, blockchain technology, and algorithm development. Burke has authored numerous papers in top venues like CAiSE, ICPM, and PETRI NETS, addressing topics including complexity analysis, fraud detection via blockchain integration, and stochastic process discovery. Education: PhD in Process Mining (QUT, 2024). Research Interests: Process Mining techniques, stochastic models, blockchain applications, algorithm design, and computational complexity analysis. His work bridges theoretical foundations with practical applications in data analysis and system optimization. Publications span 2016 to 2025, emphasizing advancements in process model quality dimensions, historical data analysis (e.g., Qing Dynasty civil servant career paths), and experimental studies in stochastic systems. His 2025 work on blockchain-enhanced suspicious activity detection showcases innovation in cybersecurity and distributed systems. Labs/Teams: Collaborates with researchers in process mining and stochastic systems, though specific lab affiliations are not detailed in the provided texts.

• Music Production
• Digital Signal Processing
• Artificial Intelligence
• +۸ مورد دیگر

Benedict Carey is a Casual Academic in the Faculty of Arts and Social Sciences at the University of Technology Sydney (UTS), and a doctoral candidate at the Hochschule für Musik und Theater Hamburg (HfMT Hamburg, Germany). His academic career includes teaching roles at National Institute of Dramatic Art (NIDA), Sydney Conservatorium of Music, University of Sydney School of Architecture, and UNSW School of Art and Design. He has extensive experience in audio engineering, lighting design, and computer technology in academic and performance settings. His research focuses on the intersection of music technology and digital media, including projects like the 'Sonic Environments for Healing' initiative at UKE Hamburg and the development of the 'Huosphere' networked light/sound system. Key technical areas include virtual reality interfaces for music composition, networked notation systems, and real-time spectral analysis applications. His work bridges music production, human-computer interaction, and therapeutic sound design. Benedict has taught courses in programming, sound design, and music technology at multiple institutions, including courses on interactive media at HfMT Hamburg. His funded research interests span IoT applications in music, machine learning for composition, and rapid prototyping in digital media. Notable collaborations include DAAD exchange projects on internet-based music performance and a German-Australian-US research network for innovative composition systems.

• Business Process Management
• Process Mining
• Workflow Systems
• +۳ مورد دیگر

Marcello La Rosa is a Professor in the field of Business Process Management at Queensland University of Technology. His work focuses on process mining, workflow systems, and business process modeling. He has contributed extensively to research on process variability, predictive monitoring, and automated discovery techniques for business processes. His research has been published in top-tier journals such as Information Systems , ACM Transactions on Management Information Systems , and IEEE Transactions on Knowledge and Data Engineering . La Rosa's research interests include process model repositories, conformance checking, and the application of machine learning in process analytics. His work bridges theoretical advancements with practical tools such as the Apromore platform, which supports process model management and analysis. He has collaborated internationally on projects involving business process configuration, blockchain integration, and event log analysis. His contributions span over 134 publications and include seminal works on process mining manifesto, configurable process models, and drift detection in business processes. He has also co-edited special issues on BPM workshops and contributed to standards in workflow management systems like YAWL.

• Programming Languages
• Compiler Construction
• Parallel Computing
• +۷ مورد دیگر

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.

Barbara Robsonمشاهده پروفایل

پژوهشگر

• Coastal Biogeochemical Modelling
• Water Quality Modelling
• Great Barrier Reef
• +۶ مورد دیگر

Dr. Barbara Robson is a Principal Research Scientist at the Australian Institute of Marine Science (AIMS) in Townsville, Australia, and an Adjunct Associate Professor at the University of New South Wales (UNSW@Canberra). She leads AIMS' Tropical Marine Water Quality and Impacts team, focusing on biogeochemical modelling of coastal ecosystems to inform environmental policy, particularly for the Great Barrier Reef. Her expertise spans nitrogen fixation, remote sensing of benthic light, and decision support tools. Education: PhD in Oceanography (University of New South Wales, 2000) Bachelor of Environmental Science (Hons 1, Murdoch University, 1994) Her research involves: Modelling water quality and nutrient dynamics in coastal systems Assessing climate change impacts on marine ecosystems Developing tools to resolve model-data discrepancies Studying coral recruitment connectivity and photophysiology Recent publications highlight her work on Trichodesmium dynamics, coral metacommunity frameworks, and synthetic data applications. She serves as an Associate Editor for Limnology and Oceanography Letters and contributes to science panels like the Gladstone Healthy Harbour Program . Scientific honors include: Fellow, International Environmental Modelling and Software Society Peter Cullen Trust Fellow Early Career Research Excellence Award (Modelling and Simulation Society of Australia and New Zealand)

David J Paulمشاهده پروفایل

دانشیار

• Networks and distributed systems
• Internet and Cloud computing
• Security and Privacy
• +۷ مورد دیگر

Associate Professor David J Paul is a computational scientist at the University of New England's School of Science and Technology within the Faculty of Science, Agriculture, Business and Law. With expertise spanning computer science, distributed systems, and applied technology, he has established himself as a multidisciplinary researcher bridging computer science with agriculture, sports science, and healthcare domains. His work consistently focuses on practical technology applications that address real-world challenges while maintaining data privacy and security. Dr. Paul earned his Bachelor's degrees in Mathematics and Computer Science from the University of Newcastle in 2004, followed by Honours in Computer Science in 2005, and completed his PhD titled "Deliberate Cooperation in Service-Oriented Environments: Dynamic Transactional Workflows for Web Services" in 2012. Prior to joining UNE in 2015, he worked at the Schizophrenia Research Institute from 2005-2015 and collaborated with the Health Behaviour Research Group starting in 2014. His research interests span networks and distributed systems (including Internet and Cloud computing), security and privacy, computer science education, sports science, agriculture, and e-Health. Dr. Paul has demonstrated particular strength in developing systems that integrate multiple disparate datasets while maintaining privacy, as evidenced by his work on the Australian Schizophrenia Research Bank and agricultural applications like ASKBILL and RamSelect. His recent work shows increasing focus on cybersecurity applications for SMEs, women's sports analytics, and precision agriculture technologies. Dr. Paul has secured multiple research grants including University of New England SABL Teaching & Learning Grants (2023), an Australian Council of Deans of ICT grant (2022-2023), SheepCRC projects (2015-2016), and a NeCTAR grant (2012). His extensive publication record demonstrates consistent productivity across both theoretical computer science and applied domains. School of Science and Technology Teaching Award (2017) for Computer Science curriculum redesign School of Science and Technology Development Award for COSC110 introductory programming unit With over 20 research students supervised across PhD, Master's, and Honours programs, Dr. Paul has established himself as a dedicated mentor. His current research portfolio spans cybersecurity for SMEs, precision agriculture technologies, sports analytics (particularly women's rugby league), and advanced cryptographic techniques. His work on QuON, ASKBILL, and RamSelect demonstrates his ability to create practical technological solutions that address specific industry challenges while maintaining rigorous academic standards.

Fareed Ud-Dinمشاهده پروفایل

مدرس ارشد

• Distributed Computing
• Multi-Agent Systems
• Industry 4.0
• +۲ مورد دیگر

Fareed Ud-Din is Senior Lecturer in Computer Science at the University of New England's School of Science and Technology. His research develops computational frameworks for Industry 4.0 applications including the Extended Agent-Oriented Smart Factory (xAOSF) for small-medium enterprises. Current projects apply AI and machine learning to healthcare project management, medicinal plant identification, and organizational agility prediction. He leads research on distributed systems and cyber-physical systems integration. Ud-Din has received multiple academic awards including Best Research Paper (2018) and Best Conference Presentation (2020). He teaches programming, software engineering, and project management courses.

• Cyber Security
• Information Systems
• Artificial Intelligence
• +۵ مورد دیگر

Mahdi Fahmideh is an Associate Professor in Cyber Security at the School of Business, University of Southern Queensland. He holds a PhD in Information Systems from UNSW Australia and has extensive industry experience as an analyst programmer. His research focuses on cybersecurity, information systems development, and the application of emerging technologies including AI, blockchain, cloud computing, and big data in business contexts. Fahmideh leads research in two primary areas: 1) Development methods for digital transformation in IT-based organizations, particularly systems using ABCD technologies (AI, Blockchain, Cloud, Big Data), and 2) Design science research methodologies. His current projects investigate Generative AI applications in business organizations and software development. His significant awards include research excellence awards from UniSQ, publication awards from UOW, best paper awards, and visiting research fellowships in Finland and Sweden. He serves as associate editor for ACM Computing Surveys and has secured research funding from ARC and international agencies.

Michael Hitchensمشاهده پروفایل

دانشیار

• Computer Security
• Network Security
• Access Control
• +۵ مورد دیگر

Michael Hitchens is an Associate Professor in the Department of Computing at Macquarie University. His research focuses on computer security, including access control, network security protocols, and trust management, alongside studies in video games, player-avatar relationships, and role-playing games. He holds a PhD in Operating Systems from the University of Newcastle (1991) and has prior experience at Western Sydney University (1991-1995, 2000) and the University of Sydney (1996-1999). Research Interests: Access Control Mechanisms Cybersecurity and Network Security Blockchain Applications in Security Player Experience and Avatars in Virtual Environments Role-Playing Game Dynamics Key Projects Include: Welcoming Trans and Gender Diverse Players (2022–2028) Cybersecurity Ethics Training Simulations (2019–2023) Trans* and Gender Diverse Players, Avatars, and Gender Performance (2019–2022) Publications span blockchain-based security frameworks, ethical decision-making in cybersecurity via serious games, and analysis of role-playing game dynamics. Collaborations involve interdisciplinary teams across computer science and psychology.

• Trustworthy Machine Learning
• Automated Machine Learning
• Data-Driven Software Engineering
• +۳ مورد دیگر

Dr. Huong Ha is a Senior Lecturer in Computer Science at RMIT University's School of Computing Technologies, located at the City Campus in Australia. Her research focuses on trustworthy machine learning, automated machine learning, and data-driven software engineering. She holds an ORCID ID (0000-0003-2463-7770) and is actively involved in supervising Masters and PhD students. Prior to her academic role, she worked as a Data Scientist at Freelancer International Pty Limited in Sydney from 2017 to 2018. Her research interests emphasize practical applications of machine learning in software systems optimization, including root cause analysis for microservices, Bayesian optimization techniques, and performance prediction for configurable software. She has published extensively in top conferences such as ICSE, AAAI, and NeurIPS, addressing challenges in high-dimensional optimization, system monitoring, and algorithmic efficiency. Current supervision projects include topics like Explainable AI in Human-Agent Planning, Fraud Detection on Blockchain networks, and High-dimensional Bayesian Optimization via Evolutionary Computation. Her work bridges theoretical advancements with real-world software engineering problems, contributing to robust and scalable solutions in AI-driven systems.

Elena Sitnikovaمشاهده پروفایل

دانشیار

• Critical Infrastructure Protection
• Cyber-Physical Systems (CPS)
• Intrusion Detection Systems (IDS)
• +۳ مورد دیگر

Elena Sitnikova is an Associate Professor of Cybersecurity and Networking at Flinders University's College of Science and Engineering . As a Certified Secure Software Lifecycle Professional , she leads cutting-edge research in Critical Infrastructure protection, focusing on intrusion detection for SCADA systems and Industrial Internet of Things (IIoT). Her work explores system antifragility and AI-driven analysis of abnormal data in cyber-physical systems. Education : PhD in Computer Technology (Mathematical Modelling of Space Communication Systems), Bachelor of Electrical Engineering with Honours. Elena's research spans Cyber-Physical Systems Security , Critical Infrastructure Protection , and SCADA Systems Cybersecurity , with a focus on intrusion detection, antifragility, and AI applications. Her recent work includes datasets for IIoT intrusion detection and frameworks for cyberworthiness assessments. She has received numerous awards , including the Women in AI Cybersecurity Award , Senior Fellowship of the Higher Education Academy , and Australian Office for Learning and Teaching Citation award . Elena has secured over AU$1.5 million in research grants and supervised six PhD completions . Leadership : Academic Lead of the Australian Affiliate of Women in Cyber Security (WiCyS), Associate Editor for the Australian Journal of Multidisciplinary Engineering, and Chair/Editor for international conferences/journals. Teaching : Innovates in online cybersecurity education and research-led teaching, pioneering student engagement strategies.

Anwar Orabiمشاهده پروفایل

مدرس

• Structural Fire Engineering
• Fire Safety Engineering
• Numerical Simulation
• +۲ مورد دیگر

Dr. Anwar Orabi is a Lecturer in Fire Safety Engineering at the School of Civil Engineering, University of Queensland , where he joined in mid-2023. His research focuses on Structural Fire Engineering , Numerical Simulation for performance-based design, Large-Scale Structural Analysis under fire conditions, and the Integration of AI and Data Science for real-time risk mitigation. He previously contributed to keystone projects in Hong Kong, including SureFire: Smart Urban Resilience and Firefighting and the Integrated Safety Engineering knowledge transfer initiative. Research Themes : Structural Fire Engineering, AI-Driven Design, Performance-Based Analysis Key Tools : OpenSees Framework, Finite Element Modeling, Hybrid Fire Simulation His recent work explores fire behavior in diagrid structures , composite floors , and steel/timber systems , with a focus on automated design and disaster resilience . Publications span Springer , Fire Technology , and Engineering Structures . Current supervision includes projects on physics-informed machine learning , mass timber coatings , and fire hazard mitigation in wildland-urban interfaces. Collaborators : Associate Professor David Lange, Dr. Felix Wiesner, Professor Asif Usmani

Jonghwan Rheeمشاهده پروفایل

پژوهشگر ارشد

• Astrophysics
• Radio Astronomy
• Extragalactic Astronomy
• +۵ مورد دیگر

Jonghwan Rhee is an Adjunct Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) within The University of Western Australia. He earned his PhD from the Australian National University in 2015 and has since focused on neutral hydrogen gas surveys using the Australian Square Kilometre Array Pathfinder (ASKAP), particularly the WALLABY and DINGO projects. Role : Adjunct Research Fellow, ICRAR (UWA) Education : PhD (2015) from Australian National University Expertise : Radio astronomy, extragalactic studies, HI gas surveys, and machine learning for galaxy classification His research examines galaxy evolution through neutral hydrogen gas distributions, tidal interactions, and star formation processes in low surface brightness galaxies. Recent work includes developing machine learning frameworks for source-finding in radio data and analyzing perturbed galaxies via H i morphometrics. Key collaborations include contributions to the WALLABY pilot survey datasets, with focus areas in stellar mass dynamics, galaxy clusters, and gas scaling relations. His outputs have been referenced in news outlets, academic networks, and software repositories.

• Safety-critical real-time systems
• Autonomous systems verification
• Robotics
• +۳ مورد دیگر

Professor René Hexel currently serves as Dean (Learning & Teaching) and Pro Vice Chancellor (Sciences) at Griffith University, where he directs the Cyber-Physical Systems Lab. With over 85 peer-reviewed publications, he specializes in safety-critical real-time systems and autonomous system verification. 2022–present: Dean (Learning & Teaching), Griffith Sciences 2016–2022: Deputy Head of School (L&T), Griffith School of ICT 2007–2016: Director for Internationalisation, Griffith School of ICT 1999: PhD from Vienna University of Technology His research focuses on safety-critical systems , time-triggered protocols , and human-in-the-loop AI , with applications in aerospace, automotive, and healthcare robotics. Recent work explores humanoid robots for dementia care and verifiable executable models. Key article trends show expertise in: Formal verification techniques Robotics communication protocols Explainable machine learning Real-time system architectures Embedded system validation Human-robot interaction design Research grants include: Australian Space Manufacturing Network (2023–2025) SPASE STEM program grant (2022) Social media wellness monitoring (2019–2020) Internal Griffith grants (2003–2010) He has supervised 12 PhD candidates across topics including: Autonomous system verification Robotics security VR sickness mitigation Intelligent control systems Distributed real-time architectures Professor Hexel previously held academic positions at Vienna University of Technology and founded an IT consulting firm specializing in safety-critical systems.

• Database Management
• Transaction Management
• Replication
• +۴ مورد دیگر

Alan Fekete is a Professor of Enterprise Software Systems in the School of Computer Science at the University of Sydney. He holds a BSc (Hons) from the University of Sydney and a PhD from Harvard University's mathematics department. With over 30 years at the University of Sydney, he has made significant contributions to database systems, distributed computing, and computing education. His research focuses on improving software systems' state-of-practice, particularly in transaction management, replication, and cloud computing. Education background: BSc(Hons) from the University of Sydney, PhD in Mathematics from Harvard University. Research interests include database management (transaction systems, replication), cloud computing, distributed systems, software engineering, and computing education. His teaching spans enterprise software architecture, data models, and systems analysis. He has supervised 13 doctoral students and contributed to curriculum development, notably in Java programming and cloud workforce training. Recent publications explore transactional frameworks, database benchmarking, and concurrency control. He is a Distinguished Scientist of ACM and a member of IEEE and Australian Computer Society. His work on robust rolling-upgrades and cloud storage benchmarking addresses modern system challenges. Fekete's teaching innovations include data-centric curricula and frameworks for self-assessment in programming education.