جستجوی استاد راهنمای دانشگاهی

Tim Frenchمشاهده پروفایل

دانشیار

• Logic
• Artificial Intelligence
• Knowledge Representation and Reasoning
• +۵ مورد دیگر

Tim French is an Associate Professor in the Department of Computer Science and Software Engineering at the University of Western Australia's School of Physics, Maths and Computing. He is affiliated with the UWA Oceans Institute and serves as Regional Contest Director for the South Pacific Programming Contest and Programme Chair for the Australasian Conference on Artificial Intelligence 2022. His research focuses on logic, artificial intelligence, knowledge representation, and reasoning about uncertainty in multi-agent systems, probabilistic reasoning in games, and industrial applications like automated planning and machine learning for complex processes. French holds a PhD in Computer Science (2007) and BSc in Computer and Mathematical Sciences (1999), both from UWA. His expertise spans algorithms, automated reasoning, formal methods in software, and temporal logic verification systems. He has led or contributed to 6 major research projects including the ARC Research Hub for Transforming Energy Infrastructure and the ARC Training Centre for Transforming Maintenance through Data Science. His research outputs include 118 publications covering topics like aleatoric logic for probabilistic reasoning, semantic knowledge extraction from industrial maintenance systems, and deep learning applications in wastewater treatment. He has developed novel methods for knowledge graph construction, state estimation in complex systems, and user interface design informed by work characteristics models. Key grants: 6 active/finished projects totaling $M+ funding Leadership roles: Programming contest director, conference chair Interdisciplinary focus: Combines formal logic with industrial automation challenges French's work contributes to UN Sustainable Development Goals through education and innovation in sustainable industrial processes and environmental systems modeling. His team has developed practical solutions for maintenance procedure digitization, wastewater plant optimization, and robust agent-based systems for uncertain environments.

• Japanese Linguistics
• Language Acquisition
• Technology-Enhanced Language Teaching
• +۱ مورد دیگر

Nobu Akagi is an Associate Lecturer at The University of Sydney, affiliated with the Faculty of Arts and Social Sciences. He holds a PhD in Cognitive Science from Macquarie University, specializing in language acquisition. His research focuses on Japanese linguistics, technology-enhanced language education, and positive psychology's role in language learning. Prior roles include Japanese language teaching at UNSW and Macquarie University. Education: PhD in Cognitive Science (Macquarie University) MA (Macquarie University) MAPPCC (East London University) Graduate Diploma in Learning and Teaching (Griffith University) BCogSci (University of Western Australia) Research Interests: Dr. Akagi’s work bridges formal linguistics and pedagogy. He investigates syntactic-semantic interfaces in Japanese, first/second language acquisition mechanisms, and innovative uses of technology in language classrooms. Recent projects explore how optimism influences language learning outcomes and the ethical implications of machine translation in language education. Recent Research Trends: His conference presentations highlight a dual focus on technology integration (machine translation’s impact on learners) and foundational linguistic inquiry (child language acquisition patterns). Work on Yakuwari-go in film translation showcases his interest in applied linguistics. Grants & Awards: No scientific awards listed. Teaching & Supervision: Teaches Japanese language courses at all levels. Supervises research in technology-enhanced language teaching, positive psychology applications, and syntactic-semantic interfaces. Labs/Teams: No dedicated lab mentioned, but collaborates with education technology initiatives within the Faculty.

Adam Smithمشاهده پروفایل

مدرس ارشد

• Language Variation
• Corpus Linguistics
• Lexicography
• +۴ مورد دیگر

Adam Smith is a Senior Lecturer in the Department of Linguistics at Macquarie University. He specializes in corpus linguistics, focusing on language variation over time and across regions, lexicography, and editing practices. As Course Director for the Graduate Certificate of Editing and Electronic Publishing, he oversees curriculum development and teaches undergraduate linguistics units. His research centers on Australian and New Zealand English dialects, with particular attention to grammatical structures, historical language change, and sociolinguistic influences. Notable projects include Linguistic Epicenters: Empirical Perspectives on Regional and International Influences on World Englishes (2018-2019) and Shifting Attitudes to Immigration (2021). Collaborations span global institutions, with emphasis on parliamentary discourse analysis and corpus-driven methodologies. Smith leads three major datasets: the Australian Corpus of English , International Corpus of English , and Australian Radio Talkback Corpus . His work bridges computational linguistics and traditional lexicography, addressing challenges in terminology clarity and register analysis across medical, legal, and political domains. Key Themes: Epicentral influence, language policy, historical syntax Methodologies: Corpus linguistics, multidimensional analysis, comparative dialectology

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.

• Mobile Software Engineering
• Intelligent Software Engineering
• Software Security
• +۶ مورد دیگر

Xiaoyu Sun is a Lecturer in the School of Computing at Australian National University (ANU), specializing in Software Engineering with a focus on Mobile Software Engineering and Intelligent Software Engineering. She holds a PhD from Monash University (2023) and a Bachelor's degree in Computer Science from Beijing Normal University (2016). Her research emphasizes applying static code analysis, dynamic testing, and NLP techniques to enhance software security and reliability, particularly in Android systems. Current projects include tools for detecting compatibility issues and privacy leaks in mobile apps. Her research interests span code generation frameworks (e.g., A^3-CodGen), security management in open-source projects, and AI-enhanced software development practices. Collaborations with tech giants like Bytedance and Alibaba highlight her industry engagement. Xiaoyu is Co-Investigator in the Tech4HSE project (2025-2027), developing AI-based monitoring systems for workspace safety. She has published in top venues including ICSE, ASE, and IEEE Transactions on Software Engineering. Her work bridges academia and industry, addressing challenges in mobile app security, code reuse efficiency, and developer toolchain innovation. Ongoing efforts focus on AI-driven solutions for software engineering tasks and fostering transparent privacy practices in open-source AI applications.

• Business Analytics
• Information Systems
• Social Media Analysis
• +۳ مورد دیگر

Yujie Wang is a Lecturer in Business Analytics at La Trobe University. She holds a Teaching Fellow designation in her role. Her affiliation is with the Department of Business Analytics within the university's School of Business. Education: PhD, La Trobe University, Melbourne, Australia Master of Information Systems, University of Melbourne, Melbourne, Australia Graduate Diploma in Information Systems, University of Auckland, Auckland, New Zealand Bachelor of Economics, Xiamen University, Amoy, China Research Interests: Dr. Wang focuses on advancing cognitive models for understanding subjective dynamics within social media events. Her work intersects information systems, business analytics, and data science, emphasizing the capture and interpretation of evolving narratives and user sentiments in digital platforms. She explores methodologies for extracting meaningful insights from unstructured social media data to inform real-world decision-making processes. Publications: Her research trends highlight the application of cognitive frameworks to analyze event dynamics in social media contexts. A notable contribution includes developing models that integrate subjective perspectives with situational context for more accurate event analysis. Advising & Grants: No formal advisees or grants are listed in the provided information. Her role emphasizes teaching and research in business analytics without explicit mention of supervisory activities or funding.

Sylvie Thiebauxمشاهده پروفایل

استاد

• Artificial Intelligence
• Energy Systems
• Optimization
• +۵ مورد دیگر

Sylvie Thiebaux is a Professor at the School of Computing, Australian National University (ANU). Her research focuses on artificial intelligence, particularly in planning algorithms, heuristic search, and their applications to energy systems and optimization. She holds a Dipl.Eng. from INSA Rennes, an MSc from Florida Tech, and a PhD from Université de Rennes/CNRS. Her work integrates machine learning with classical AI techniques to address challenges in smart grids, renewable energy integration, and multi-objective decision-making. Key projects include optimizing distribution networks with high PV penetration, developing robust control strategies for volt/Var systems, and advancing neuro-symbolic AI for planning under uncertainty. She has contributed to over 90 publications and actively supervises research students in computational planning and energy systems. Her research also explores ethical considerations in AI, including normative compliance in planning systems. Collaborative initiatives with industry and academia have led to advancements in energy market frameworks and distributed resource coordination.

• Computational logic
• Agents
• Declarative programming languages
• +۳ مورد دیگر

Prof John Lloyd is a Professor at the School of Computing, Australian National University. His research focuses on computational logic, agent systems, declarative programming languages, and machine learning. He holds qualifications including a BSc(Hons), MSc from Newcastle University, a PhD from ANU, and a DipComp from Melbourne. His research interests span foundational theories in logic programming, probabilistic reasoning, and agent architectures. He has contributed to projects like Feature Reinforcement Learning and Foundations and Architectures for Agent Systems. His work emphasizes integrating logic and probability for robust AI systems. Prof Lloyd has advised student Kee Siong Ng and led over nine research projects. His publications explore topics like probabilistic logic frameworks, declarative agent languages, and higher-order logic systems. He actively participates in international conferences, contributing to proceedings and workshops. His academic leadership includes convening the Bachelor of Computer Science (Honours) program. His research bridges theoretical foundations with practical AI applications, emphasizing declarative approaches for complex systems.

Ranald Cloustonمشاهده پروفایل

مدرس

• Computer Science
• Mathematical Logic
• Formal Methods
• +۳ مورد دیگر

Ranald Clouston is a Lecturer in the ANU College of Systems & Society at the Australian National University. His research focuses on developing logics and type systems to ensure well-behaved computational processes and support formal mathematics. He holds a PhD from the University of Cambridge (2010) and previously worked as a research fellow at ANU, a postdoc and assistant lecturer at Aarhus University in Denmark, before returning to ANU in 2018. His research interests span theoretical computer science and mathematical logic, including modal logics, dependent type theory, program verification, and categorical semantics. Recent work emphasizes integrating modal operators into type systems, developing guarded recursion frameworks, and advancing formal methods for reasoning about infinite structures and mutable resources. Ranald’s publications reflect a deep engagement with foundational issues in logic and programming semantics. His articles explore topics such as interpolation theorems for tense logics, modular proof systems for separation logics, and guarded type theories for coinductive reasoning. These contributions highlight his expertise in bridging abstract logical principles with practical computational applications. While no specific scientific awards are listed, his academic trajectory demonstrates sustained scholarly achievement. His advising and grant activities remain unspecified in available records. No lab or team affiliations are explicitly mentioned in the provided information.

Ken Tannمشاهده پروفایل

مدرس ارشد

• Linguistics
• Semiotics
• Interdisciplinary Research
• +۴ مورد دیگر

Dr. Ken Tann is a Senior Lecturer at the University of Queensland (UQ) Business School, specializing in linguistic and semiotic methodologies applied to interdisciplinary research. His work focuses on enhancing professional communication across media, forensic, education, and workplace contexts. He currently supervises PhD candidates in marketing, finance, and aged care, emphasizing practical applications of communication theory. Research interests span organizational semiotics, workplace communication dynamics, and stigma analysis in healthcare and aged care sectors. Notable projects include frameworks analyzing open-plan office environments and typologies of stigmatizing discourses in aged care. His interdisciplinary approach bridges linguistics with organizational behavior, education policy, and healthcare workforce challenges. Publications span book chapters, journal articles, and conference proceedings, addressing topics like aged care stigma, assessment practices in higher education, and media representation of industries. Key contributions include conceptual frameworks for understanding stigma’s impact on workforce intentions and mental health outcomes. No scientific awards are explicitly listed in the provided texts. His advisory work focuses on PhD supervision in cross-disciplinary areas without mentioned grant activities. Research collaborations involve multidisciplinary teams addressing societal challenges through linguistic and semiotic lenses. Labs or formal research teams are not explicitly noted, though his work engages with organizational behavior, healthcare communication, and educational policy networks.

• Deep Learning
• Computer Vision
• Few-shot Learning
• +۴ مورد دیگر

Tan Yong Xuan is an Assistant Lecturer at the Malaysia School of Information Technology, specializing in advanced AI research. His work focuses on Deep Learning, Computer Vision, and Self-supervised Learning techniques, particularly in Few-shot Learning and Generative Adversarial Networks (GANs). He holds a Master of Science in Information Technology (2023) and a Bachelor of Information Technology (Honours) in Artificial Intelligence (2019), both from Multimedia University. His research explores innovative applications of AI in fields like medical diagnostics (e.g., brain tumor detection), e-commerce analytics (customer behavior modeling), and text-to-image synthesis. Notable contributions include developing self-supervised learning frameworks for Few-shot Learning and advancing GAN-based image generation systems. His work frequently addresses challenges in data scarcity and model efficiency. Recent publications span 2022-2025, emphasizing methodological advancements in Few-shot Learning, Transfer Learning, and generative AI. Collaborations involve multidisciplinary teams focusing on real-world AI applications. No formal awards are listed, but his active publication record reflects academic engagement.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +۴ مورد دیگر

Professor Mohamed Abdelrazek is a Professor of Software Engineering and Research Professor at the Applied Artificial Intelligence Institute (A2I2) within Deakin University. He holds a PhD in Cloud Computing Security from Swinburne University of Technology and a Graduate Certificate in Higher Education Learning & Teaching from Deakin University. His research focuses on robust AI/ML systems, including GenAI and RL approaches, with emphasis on automated software engineering, cybersecurity, distributed systems, and data science. Education: PhD in Cloud Computing Security (Swinburne University of Technology), Graduate Certificate in Higher Ed Learning & Teaching (Deakin University). Research Interests: AI/ML systems, software security, empirical software engineering, data analytics, and human-centered computing. His work spans over 20 years of industry and academic experience, including roles as a senior research fellow and software development manager. He has secured grants totaling millions of AUD from agencies like CSIRO, the Department of Defence, and Telethon Kids Institute, focusing on AI-driven solutions in healthcare, cybersecurity, and robotics. Professor Abdelrazek supervises numerous doctoral and master’s students in topics ranging from robust ML systems to mHealth applications. His recent publications address challenges in AI ethics, cybersecurity, and healthcare technology, emphasizing practical, real-world applications. Key Contributions: Frameworks like 6DVF for mHealth visualization, blockchain service platforms, and reinforcement learning-based cyber-attack simulation tools.

• Contemporary Art
• Sculpture and Installation
• Arts and Health
• +۳ مورد دیگر

Dr. Steven Carson is a Lecturer in Art and Graduate Research Coordinator (Art) at the School of Creative Arts and Media, University of Tasmania. He holds a PhD (2016) and Master of Visual Arts (1997) from the University of Tasmania and Griffith University, respectively. His art practice focuses on sculpture, mixed media installations, and ceramics, exploring materiality, everyday life, and human-environment interactions. Key research themes include material transformation, uncertainty, and instability in abstract works. Professional Experience: Previously served as Studio Head – Sculpture and Installation at the University of South Australia (2001–2012) and lectured at Hunan University of Technology (China). Awards include the Whyalla Art Prize (2007), Hobart Art Prize (1999), and multiple teaching accolades. Major projects include The Pet Project (community-focused art with pets) and Alzheimer’s Tasmania’s creative arts programs for dementia patients. Research Interests: Materiality, process-led art, everyday aesthetics, arts and health, interdisciplinary practices, and public art. His installations often use reclaimed materials to critique contemporary life and environmental themes. Grants & Projects: The Pet Project - Covid Companions (Regional Arts Australia, 2021–2022) Eliston Family and Community Centre Public Art Commission (City of Casey, 2021) Hutchins School Artist-in-Residence (2021) Supervision & Teaching: Supervised over 20 HDR/Masters students in sculpture, installation, and interdisciplinary practices. Teaches Contemporary Art, Ceramics, and critical practices, emphasizing material experimentation and community engagement.

Ansgar Fehnkerمشاهده پروفایل

دانشیار

• Automated System Verification
• Software Verification Tools
• Model Checking
• +۵ مورد دیگر

Ansgar Fehnker is an Associate Professor (Teaching and Leadership) in the School of Computing at Macquarie University. His research focuses on automated system verification tools, including model checking and static analysis, with applications in cyber-physical systems, blockchain technology, and educational software. He has held previous roles at the University of Twente (2016–2021), University of the South Pacific (2012–2016), and National ICT Australia (2004–2012). Research interests include: Formal methods for software verification Static analysis for C/C++ Blockchain protocol analysis Educational technology for programming education Recent publications emphasize AI-driven educational tools and hands-on training systems for programming. His work bridges theoretical formal methods with practical educational applications.

• Criminology
• Law
• Linguistics
• +۳ مورد دیگر

Dr. Joseph van Buuren is a Lecturer at the School of Global, Urban and Social Studies (GUSS) at RMIT University, located at City Campus in Australia. His research focuses on criminology, law, and linguistics, with particular emphasis on legal systems, international comparative law, and the intersection of language barriers in justice processes. He holds an ORCID identifier: 0000-0003-4862-048X. His work addresses issues such as police discretion in domestic violence cases, linguistic challenges in legal proceedings, and systemic marginalization within the justice system. Recent publications highlight topics like covert police investigations, language access rights, and wrongful convictions linked to managerialist approaches. No formal student advisees or academic awards are listed in the provided materials. Contact information includes two institutional email addresses.