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Nicholas EvansView profile

Professor

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +12 more

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

JuHyun LeeView profile

Associate Professor

• Architectural design computing
• Design cognition
• Urban complexity
• +8 more

JuHyun Lee is an Associate Professor of Architecture and Computational Design in the School of Built Environment at the Faculty of Arts, Design and Architecture (ADA), University of New South Wales (UNSW) Sydney, where they also hold the prestigious title of Scientia Academic. With a professional background in architecture and construction (1998-2002), they have held academic positions across Australia including a five-year post-doctoral fellowship at the University of Newcastle (2012-2017) and a senior research fellowship at the University of South Australia (2018), following earlier research and teaching roles in South Korea (2003-2011). Lee specializes in architectural design computing, design cognition, and urban complexity, integrating computational methods, cognitive science, and architectural theory to advance architectural intelligence and human-centered design. Their research spans architectural visualization, analysis and design methods, algorithm/protocol design, and data visualization with computational approaches. They have established a strong research program examining the intersection of language, culture, and design cognition, particularly focusing on cross-cultural design communication between Australia and Korea. Lee's recent publications demonstrate a clear trajectory toward increasingly sophisticated integration of computational methods with architectural design theory, particularly in the areas of shape grammar, space syntax, and machine learning applications. Their work shows consistent focus on practical applications of computational design methods to real-world architectural problems, with growing emphasis on cross-cultural collaboration and intelligent design systems. The research portfolio reveals a deepening engagement with AI and machine learning techniques applied to architectural design assessment and generation. Scientia Academic at UNSW Sydney Associate Fellow of the Higher Education Academy (AFHEA, 2020) As an educator, Lee develops cutting-edge courses in computational design and Building Information Modeling (BIM), integrating experiential learning and industry engagement. They have secured over $11 million in research funding, including multiple ARC Discovery Projects and an Australia-Korea Foundation grant. Lee co-directs the Advanced Architectural Analytics Laboratory (A 3 LAB), leading interdisciplinary research on design automation, spatial analysis, and machine learning applications in architecture, while also leading cross-cultural initiatives like the Australia-Korea Architects' Network (AKAN). Lee supervises multiple HDR students working on culturally sustainable urban design, socio-spatial patterns in public housing, and computational layout generation. Their research has significant implications for improving design communication across cultural boundaries and developing more coherent, clear, and accessible built environments through computational design approaches.

• Australian Indigenous languages
• Linguistics
• Syntax
• +5 more

Rachel Nordlinger is a Professor of Linguistics and Director of the Research Unit for Indigenous Language at the University of Melbourne's School of Languages and Linguistics. Her research focuses on documenting and describing Australian Indigenous languages, with a particular emphasis on syntactic and morphological theory. She has conducted extensive fieldwork with communities speaking Bilinarra, Wambaya, Gudanji, Murrinhpatha, and Marri Ngarr, contributing to language preservation efforts. She holds a PhD from Stanford University and has authored influential works including A Grammar of Wambaya and co-edited volumes like The Languages and Linguistics of Australia . Nordlinger is a Fellow of the Australian Academy of Humanities (2017) and leads major grants like the ARC Centre of Excellence for Dynamics of Language (2014-2026). Her work integrates linguistic theory with community-driven language revitalization projects, emphasizing the interconnectedness of language and cultural knowledge. Key research grants include projects on polysynthetic language processing (2021-2025), Indigenous language documentation, and cross-linguistic syntactic analysis. Nordlinger collaborates with institutions such as PARADISEC and the Kanamkek-Yile Ngala Museum to preserve endangered language materials. Her interdisciplinary approach bridges formal linguistic analysis with applied community linguistics.

Carsten RudolphView profile

Professor

• Cyber Security
• Formal Methods
• Cryptographic Protocols
• +5 more

Professor Carsten Rudolph serves as Deputy Dean at Monash University's Faculty of Information Technology and directs the Oceania Cyber Security Centre (OCSC). He holds a PhD in Information Security from Queensland University of Technology (2002) and a Diplom in Computer Science from Goethe University Frankfurt (1997). His interdisciplinary research focuses on cybersecurity foundations, including cryptographic protocols, AI-driven security, human factors, and national cybersecurity policy. Key areas include securing smart grids, digital health systems, and transnational energy networks. Notable contributions include establishing the OCSC, leading Pacific region cybersecurity maturity reviews with Oxford University, and advancing frameworks for firmware security in virtual power plants. He chairs major projects like RAI4IoE (Responsible AI for Energy) and Post-Quantum Cryptography initiatives. Teaching responsibilities include cybersecurity modules like FIT3173 and FIT3168. Rudolph's research outputs (137+ publications) emphasize phishing detection via AI, blockchain-based energy trading, and resilient smart grid systems. He collaborates internationally on policy development and has advised 12 major research projects funded by agencies like the U.S. Bureau of East Asia and Pacific Affairs.

Felix NaumannView profile

Professor

• Data Profiling
• Data Quality
• Data Integration
• +4 more

Professor Felix Naumann is Chair for Information Systems at the Hasso Plattner Institute (HPI) at the University of Potsdam in Germany, where he leads the Information Systems research group. He is also Coordinator for MSc. Data Engineering and for the Data and AI track for MSc. Computer Science, and Speaker of the Research School on Data Science and Engineering. His extensive academic career includes visiting positions at CIRES Centre in Brisbane (2024-2025), SAP's Innovation Center (2020), AT&T Research (2016), and QCRI (2012). Professor Naumann's research focuses on data profiling, data cleansing, data integration, and data quality assessment with over 200 scientific publications. His work spans theoretical foundations and practical applications, with significant contributions to data quality metrics, metadata extraction, and AI-driven data preparation techniques. His research group develops prominent systems like Metanome for data profiling and Metis for data quality assessment. His recent publications demonstrate continued innovation in data management, with a growing intersection between traditional database research and AI applications. The 15 most recent papers show increasing focus on data quality for AI applications (KITQAR), multimodal data analysis (MELArt), and practical data cleaning frameworks that bridge database systems with machine learning pipelines. GI Dissertationspreis 2000 for best computer science PhD thesis IBM Research Division Award, 2002 Distinguished ACM member since 2021 Distinguished Reviewer Award - SIGMOD 2023 Best paper award at EDBT 2024 for Tasheeh paper Professor Naumann has successfully advised over 30 PhD students who now hold prominent positions at institutions like MIT, Google, Snowflake, and universities worldwide. His research has been funded by major grants including DFG Nachwuchsforschergruppe (2003-2008), IBM SUR Grant (2007), and DFG Forschergruppe Stratosphere (2010-2016). He leads the Information Systems research group at HPI, which includes PostDocs, PhD students, and student assistants working on projects like Metanome, Metis, KITQAR, and Janus, focusing on data profiling, quality assessment, and change exploration in data systems.

Carmel O’ShannessyView profile

Senior Lecturer

• Language Contact
• Mixed Languages
• Language Acquisition
• +4 more

Carmel O’Shannessy is a Senior Lecturer at the Australian National University’s School of Literature, Languages and Linguistics and an affiliate of the ARC Centre of Excellence for the Dynamics of Language (CoEDL) . Her work focuses on language contact, mixed languages, and child language acquisition, particularly in Indigenous Australian communities. Education: PhD in Linguistics (University of Sydney, Australia; Max Planck Institute for Psycholinguistics, The Netherlands, 2007) She has documented the development of Light Warlpiri , a new mixed language, since its emergence. Her research explores how children and adults contribute to contact-induced language change, with fieldwork in Central Australia since 1996. Key projects include her ARC Future Fellowship grant for tracking Indigenous children’s language development. Recent publications span topics like typology of Australian contact languages, child-directed speech modifications in Warlpiri, and sociolinguistic dynamics of youth language varieties. Her work appears in journals such as Journal of Pidgin and Creole Languages and Languages , as well as edited volumes like The Oxford Guide to Australian Languages . Scientific Awards: ARC Future Fellowship She has mentored students including Francois-Xavier Faucounau , Annie Kwai , and Zobule . Her interdisciplinary approach combines linguistic analysis, digital tools (e.g., the Little Kids Learning Languages app), and community collaboration. Labs/Teams: ARC Centre of Excellence for the Dynamics of Language (CoEDL)

Trevor CohnView profile

Professor

• Natural Language Processing
• Machine Learning
• Probabilistic Modeling
• +7 more

Trevor Cohn is a Professor at The University of Melbourne's Computing and Information Systems Department, with a dual appointment at Google Research Australia. His research focuses on Natural Language Processing (NLP), probabilistic machine learning, and machine translation. He leads the Natural Language Processing group and has held roles including Director of the ITTC on medtech and Local Chair for ACL 2018. His research interests include automatic language processing, handling uncertain data, structured prediction, and cross-lingual systems. Recent work addresses backdoor attacks, reward modeling, and fairness in AI. He teaches courses like Statistical Machine Learning and Web Search & Text Analysis, advising students such as Thinh Truong and Nitika Mathur (award recipients). His 15 most recent articles span topics like LLM-based planning systems, mitigation of adversarial attacks, and cross-lingual NLP challenges. His work emphasizes practical applications of NLP in multilingual contexts and robust AI systems.

Mark JohnsonView profile

Professor

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +5 more

Mark Johnson is a Professor at Macquarie University's School of Computing, affiliated with the Centre for Language Sciences (CLaS). His research focuses on computational linguistics, natural language processing, and machine learning, with contributions to parsing algorithms, child language acquisition models, and generative AI systems. He leads projects on generative models of life stories, logistics optimization algorithms, and visual dialogue systems using deep neural networks. Research interests include natural language understanding, data augmentation techniques, and model robustness. Notable projects involve developing frameworks for synthetic training data, OOD detection, and integrating named entity recognition with context tags. His work emphasizes practical applications in dialog systems, document analysis, and language model optimization. Collaborations span cross-linguistic studies and AI-driven visualization systems. Key achievements include over 200 research outputs, including influential articles on child language acquisition models and OOD detection. He oversees projects funded by MQRC and industry partnerships, focusing on advancing NLP and AI methodologies. His lab, CLaS, fosters interdisciplinary research in language sciences and computational methods.

Sambit DattaView profile

Professor

• Computational Design
• Urban Science
• Architectural Computing
• +6 more

Sambit Datta is the Dean, International of the Faculty of Science and Engineering at Curtin University. He holds a Professorship in Computational Urban Science within the School of Electrical Engineering, Computing and Mathematical Sciences. His academic roles include adjunct positions at IIT Kharagpur, India, and NYUST Taiwan. He is a registered architect in India and a member of the Australian Institute of Architects. Prof. Datta's education includes a Dipl. Arch from CEPT University, M.Arch from the National University of Singapore, and a PhD in Computational Design from the University of Adelaide. He has received the Michael Ventris Memorial Award and served as a scholar at the Architectural Association, London. His research focuses on computational design, urban science, and AI-driven architectural innovation. He leads the Computational Design Research Laboratory (Codelab) and contributes to the Curtin Institute for Computation. His work spans generative grammars, sensor networks in healthcare, and digital heritage preservation. Key publications include studies on sensor-fusion environments, DFA (Design-Fabrication-Assembly) systems, and virtual reconstructions of historical temples. He has authored books on computational urban science and early temple architecture. Professional engagements include roles as Corresponding Editor for the Nexus Network Journal and Secretary of the CAADRIA (Computer-Aided Architectural Design Research in Asia).

Avery AndrewsView profile

Senior Lecturer

• Syntactic Theory
• Syntax-Semantics Interface
• Natural Semantic Metalanguage
• +3 more

Dr. Avery Andrews is a retired Senior Lecturer in the Linguistics Program at the School of Literature, Languages & Linguistics, The Australian National University (ANU). He remains actively engaged in research, focusing on syntactic theory, syntax-semantics interfaces, and the integration of Natural Semantic Metalanguage with formal frameworks like Lexical-Functional Grammar (LFG) and Chomsky's Minimalist Program. His work bridges theoretical linguistics with computational applications, particularly in analyzing languages like Icelandic and Indonesian. Research interests include quirky case structures, information spreading in LFG, and reconciling NSM with formal semantics. He contributed to projects such as 'Understanding Indonesian: Developing a Machine-Usable Grammar, Dictionary, and Corpus' (2008–2012), advancing computational linguistics. His publications span syntactic theory, case analysis, and morphosyntactic phenomena, emphasizing cross-linguistic comparison and theoretical coherence. Key Projects: 'Understanding Indonesian' (2008–2012) Labs/Teams: Collaborations within ANU's Linguistics Program and international LFG research networks.

• Generative Syntax
• Language Acquisition
• Music
• +6 more

Iain Giblin is a Lecturer in the Department of Linguistics at Macquarie University, affiliated with the Centre for Language Sciences (CLaS). His research focuses on generative syntax, language acquisition, and music, situated within the Universal Grammar framework. He investigates how computational features of the mind structure human experience. He has been involved in major research projects including 'Unexpected Wide Scope Phenomena in Child Language' (2020-2022), 'CLaS: Centre for Language Sciences (CLaS) - MQRC 2019' (2019-2021), and 'Child-friendly mobile eye-trackers' (2018). His work spans theoretical linguistics and applied research in education. Key research contributions include studies on genre theory in education, recursive grammar acquisition in children, and experimental investigations into verb processing and event semantics. He received the 2024 FMHHS Education Excellence Award for teaching excellence.

Michelle LiuView profile

Lecturer

• Philosophy of Mind
• Consciousness
• Philosophy of Language
• +4 more

Michelle Liu is a Lecturer in Philosophy at Monash University, specializing in philosophy of mind, philosophy of language, and aesthetics. Her research examines consciousness, polysemy in language, mental imagery in comprehension, musical expressiveness, and the aesthetics of poetry and abstract art. She serves as secretary of the Australasian Society for Philosophy and Psychology. Key research explores polysemy processing, revelation in consciousness, cross-domain descriptions, and the role of mental simulation in language comprehension. Her work connects empirical cognitive science with philosophical analysis of concepts. Liu has received recognition including the Annette Baier Prize (2024), Paul Bourke Award (2024), and Finnish Society for Aesthetics Article of the Year (2023). Current projects investigate emotion descriptions in music, zeugmatic phenomena, and intersensory artistic expressions. She completed her DPhil at Oxford (2019) and held a Leverhulme Early Career Fellowship.

• Digital Media
• Data-Driven Culture
• Self-Tracking Technology
• +5 more

Suneel Jethani is Senior Lecturer in Digital and Social Media at the University of Technology Sydney's School of Communication. His work interrogates the complex integration of digital technologies into everyday life, focusing on spatial transformations, data ethics, and the political implications of technological systems. PhD and MA in Media & Communication from University of Melbourne Grad Dip in Marketing from Monash University BSc in Computer Science from University of Melbourne Research interests span three main areas: Critical analysis of digital/data technologies' integration into daily life Emerging risk discourses around generative AI and knowledge workers Rhythm as analytical framework for understanding technology-mediated practices Recent publications examine: Data provenance as ethical methodology Surveillance capitalism's impact on leisure (2023 Griffith Review essay) Critical technopolitics frameworks Domestic deployment of punitive monitoring systems Rhythmanalytical approaches to technology studies He previously worked in open data policy reform for Victorian Government (2017-2020) and co-authored Openness in Practice (2021). His methodological approach combines: Technopolitical analysis Critical data studies Embodied computing critique Rhythmanalytical frameworks Decolonial design considerations Interdisciplinary ethical inquiry

• Behavioural sciences
• Lung cancer
• Public health
• +3 more

Shiho Rose is a Postdoctoral Research Fellow at the Daffodil Centre , part of the Faculty of Medicine and Health at the University of Sydney. Her research focuses on lung cancer stigma , tobacco control , and modifiable risk factors for cancer , with a strong emphasis on psycho-oncology and behavioral sciences . Research Interests : Stigma experiences in lung cancer patients Psychosocial impact of cancer diagnosis E-cigarette awareness and prevention in Australian teens Public health strategies for tobacco and vaping control Current Projects : Generation Vape – a national Australian study on vaping attitudes among teens, parents, and young adults Academic Contributions include publications on lung cancer stigma, vaping policies, and digital health interventions. Her work spans qualitative, mixed-methods, and longitudinal studies, with affiliations to cancer policy evaluation initiatives. She engages with the Daffodil Centre , a collaboration between Cancer Council NSW and the University of Sydney.

• Software Testing
• Compiler Testing
• Software Engineering
• +3 more

Yongqiang Tian is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University. His research focuses on software testing, compiler testing, and software engineering. He holds a Ph.D. in Computer Science from the University of Waterloo (Canada) and another Ph.D. in Computer Science from the Hong Kong University of Science and Technology, alongside a BEng in Information Engineering from City University of Hong Kong. His research interests emphasize compiler testing methodologies, program reduction techniques, and deep learning system reliability. Recent work includes leveraging large language models (LLMs) for enhancing compiler testing and program analysis. He has explored probabilistic delta debugging, program reduction algorithms, and evaluating DNN model behaviors under compression. Key contributions include frameworks like T-Rec for language-agnostic program reduction, Lampr for LLM-aided optimization, and tools such as EvalDNN for deep learning model evaluation. His articles highlight trends in compiler bug analysis, testing deep learning libraries, and improving fault localization through algorithmic innovations. No scientific awards are explicitly mentioned. Advising and grants details are not provided in the text. His work often intersects with program analysis, compiler validation, and applying AI techniques to software engineering challenges.