جست‌وجوی استاد و پژوهشگر

Ly Fie Sugiantoمشاهده پروفایل

دانشیار

• Accounting Information Systems
• Data Analytics
• Artificial Intelligence
• +۸ مورد دیگر

Dr. Ly Fie Sugianto is an Associate Professor in the Department of Accounting at Monash Business School, Monash University. Her research focuses on the integration of data analytics, artificial intelligence, and machine learning in accounting and business systems, with applications in the energy sector and organizational behavior. Monash Business School, Monash University Department of Accounting Specialization: Accounting Information Systems, Data Analytics, AI Her research interests span Accounting Information Systems , Agent-Based Simulation , Decision Support Systems , and Technology Adoption . She applies computational methods to study competitive dynamics in deregulated electricity markets and the impact of digital tools on employee well-being and organizational resilience. The recent publications reflect a strong trend in using AI and simulation to analyze complex socio-technical systems, particularly in energy markets and leadership dynamics. Keywords across her work include agent-based modeling , data analytics , servant leadership , and enterprise social media , indicating interdisciplinary research at the intersection of information systems, management, and public policy. Her scientific awards include competitive grants from the ARC (SPIRT/Linkage) , the Australia Indonesia Governance Research Partnership (AIGRP) , and the Sumitomo Foundation . ARC Grant: Dispatch Optimisation in the Australian National Electricity Market Sumitomo Foundation: Technology Use and Employee Well-Being AIGRP: Governance and MSME Resilience during Pandemic Dr. Sugianto has advised research projects and collaborated with industry partners such as Western Power , Ecogen Energy , and AEMO . She is currently accepting PhD students and leads externally funded research initiatives. Her work contributes to UN Sustainable Development Goals related to industry innovation and responsible consumption. She is affiliated with research teams focusing on intelligent decision support systems and digital transformation in business , with active collaborations in Australia and Indonesia.

Janet McColl-Kennedyمشاهده پروفایل

استاد

• Customer Experience Management
• Service Innovation
• Digital Transformation
• +۵ مورد دیگر

Professor Janet McColl-Kennedy is a leading figure in marketing and service science at The University of Queensland's Business School. She serves as Program Lead for Innovation Pathways (FaBA) and co-founded the Service Innovation Alliance (SIA) research hub, focusing on customer experience, AI, digital transformation, and sustainability. With Fellow status in the Academy of the Social Sciences in Australia and the Australian and New Zealand Marketing Academy, she holds international recognition including Research.com's World's Best Business Scientists ranking and the Christopher Lovelock Career Contributions to the Services Discipline Award (2025). University of Queensland Business School Honorary Visiting Professor, Cambridge Service Alliance Research Collaborator, University of Cambridge Her research spans customer experience management, service ecosystems, digital transformation, and healthcare services. She has pioneered frameworks for customer value co-creation and service recovery strategies, integrating AI and behavioral science. Her 2019 paper on customer experience insights was implemented by a major B2B organization, while her work on value co-creation improved outcomes at Lutheran Community Care. Recent publications focus on AI impacts in food and beverage services, sustainable service ecosystems, and digital health interventions. She has secured over $89 million in competitive grants, including multiple ARC Linkage and Discovery Projects, and leads cross-disciplinary teams with institutions like Cambridge University and Arizona State University. 2024 - ARC College of Experts appointment 2023 - Bo Edvardsson Industry Impact in Services Award 2022 - Elected Fellow of Academy of the Social Sciences in Australia 2021 - Clarivate Highly Cited Researcher 2018 - Ranked most influential marketing academic in Australia With over 220 publications and a Google Scholar H-index of 62, she has mentored 15 PhD students and examined theses at multiple universities. Her teaching spans 30+ years across undergraduate, postgraduate, and executive programs in Australia, USA, Italy, China, and Korea, with awards for blended learning and corporate education.

Lily Chenمشاهده پروفایل

دانشیار

• Financial Reporting and Disclosure
• Corporate Governance
• Corporate Social Responsibility
• +۳ مورد دیگر

Lily Chen is an Associate Professor at the Research School of Accounting within the ANU College of Business and Economics. She previously held positions at the University of Auckland Business School where she earned her PhD in Accounting (2013). Her research focuses on financial reporting, corporate governance, CSR, machine learning applications in accounting, and integrated reporting frameworks. Her work has been published in top journals like The Accounting Review and widely cited by regulatory bodies. Education: PhD in Accounting from the University of Auckland (2013). Professional Affiliations: Board member of Accounting and Finance Association of Australia and New Zealand, editor for Pacific Accounting Review, and editorial board member for Accounting and Finance and Meditari Accountancy Research. Research Interests: Combines traditional accounting topics with emerging technologies, particularly exploring machine learning applications in financial disclosure analysis. Her studies on institutional investor behavior and CSR governance have received significant industry attention. Awards: Multiple accolades including Research Excellence Awards from University of Auckland (2013), Teaching Excellence Awards, and Best Paper recognitions. Supervised 5 PhD, 8 Masters, and 8 Honours students. Teaching: Leads financial accounting courses for both undergraduate and postgraduate students. Active in curriculum development and postgraduate program administration.

• Cybersecurity and Privacy
• Data Management and Data Science
• Distributed Computing and Systems Software

Professor Jun Zhang is a leading academic in cybersecurity at Swinburne University, Australia, where he directs the Cybersecurity Lab. He has been honored as Australia's top cybersecurity researcher and instrumental in establishing Swinburne as a globally recognized cybersecurity research institution. His work includes high-impact papers and multi-million-dollar R&D projects, culminating in awards like the 2021 'Top Cybersecurity Research Institution' accolade. As course director of the Bachelor of Cyber Security, he pioneered an industry-driven teaching model with Deloitte and CSIRO, significantly boosting course enrollment. His collaborations extend to Adobe's Curriculum Innovation Program and the Australian P-TECH initiative, promoting STEM education and cybersecurity awareness. He supervises doctoral candidates and leads grants focused on AI-driven cybersecurity, smart home security, and blockchain-based edge computing. His research spans vulnerability detection, GAN forensics, IoT security, and privacy preservation in OSNs. Research interests include cybersecurity fundamentals, data science applications, and distributed systems. Notable achievements include the PTFix framework for Java vulnerabilities, the IoTFuzz smart home testing system, and CTI mining methodologies. Awards reflect his mid-career research excellence and industry partnerships. His grants with CSIRO and defense organizations emphasize real-world impact, addressing challenges from malware detection to adversarial machine learning. The Cybersecurity Lab and collaborative projects like Artchain demonstrate his commitment to bridging academia and industry. Professional activities include supervising over 20 HDR students and securing grants totaling millions. His work on blockchain-based edge storage (CSEdge) and SDCCP congestion control highlights innovation in networking. Future directions include advancing AI for design collaboration with CSIRO and enhancing privacy in smart energy technologies. His contributions span technical, educational, and community outreach domains, positioning him as a pivotal figure in cybersecurity's evolution.

• Dental Informatics
• Teledentistry
• Oral Health Policy
• +۴ مورد دیگر

Professor Heiko Spallek is Head of School and Dean at the University of Sydney’s Sydney Dental School, leading the school’s integration with the Faculty of Medicine and Health. He also serves as Academic Lead for Digital Health and Health Service Informatics at the faculty level. His research focuses on advancing dental informatics, teledentistry, and evidence-based practice, while advocating for improved oral health policy and public health initiatives. He holds roles including director at Community Connections Australia and membership in the Charles Perkins Centre. Education: DMD, Dr. med. dent., MSBA(CIS), FACD, FAIDH Leadership: Oversees Sydney Dental School’s academic and clinical programs, emphasizing interprofessional education and digital health innovation. Research interests include leveraging big data and machine learning in dentistry, improving access to oral healthcare through teledentistry, and addressing systemic issues in dental education and policy. He has led projects on laser dentistry applications, dental caries prevention, and healthcare workforce regulation. Notable contributions include the OpenWide conference series, the BigMouth dental data repository, and advocacy for equitable dental funding in Australia. Grants include initiatives on oral hygiene in aged care and analysis of healthcare advertising perceptions. Media engagements highlight his role in public discourse on dental access and policy, including commentary on Australia’s dental crisis and aged care reforms. He actively promotes interdisciplinary collaboration through platforms like the Dental Informatics Online Community. Labs/Teams: Directs the Sydney Dental School’s research programs in informatics and public health, collaborating with national and international networks such as the National Dental PBRN.

Richard Garnerمشاهده پروفایل

مدرس

• Category Theory
• Algebraic Structures
• Homotopy Type Theory
• +۳ مورد دیگر

Richard Garner is a lecturer at Macquarie University's School of Mathematical and Physical Sciences, Faculty of Science and Engineering. He specializes in teaching mathematics to engineering and computing students in units like MATH2055 and MATH1007, focusing on problem-solving and real-world applications. His teaching philosophy emphasizes authentic mathematical experiences, blending abstract concepts with practical examples, such as connecting multivariable calculus to AI technologies. School: School of Mathematical and Physical Sciences University: Macquarie University Teaching Areas: Mathematics for engineering and computing, convolution, multivariable calculus Richard won a Student Nominated Award in the 2023 Vice Chancellor’s Learning and Teaching Awards, reflecting his commitment to student-centered education. He prioritizes clarity in course design, using visual tools and accessible materials to enhance learning, and fosters a supportive environment where students feel comfortable asking questions. Key Teaching Strategies Organized iLearn layouts following Macquarie University's standards Multiple formats for lecture materials (diagrams, color-coded slides) Weekly task clarity and real-world problem framing Live worked examples and transparent success criteria His research spans category theory, computational effects, and homotopy theory, with publications on topics like comodels, monoidal bicategories, and enriched categories. Richard's work bridges abstract mathematics with applications in computer science and logic. Scientific Awards 2023 Vice Chancellor’s Learning and Teaching Award (Student Nominated) Students praise his ability to make complex concepts intuitive, his enthusiasm for mathematics, and his dedication to explaining the 'why' behind the subject. His teaching design, including time-sensitive banners and structured weekly content, has been highlighted as exemplary.

Minh Hue Nguyenمشاهده پروفایل

مدرس ارشد

• Second language teacher education
• TESOL pedagogy
• Language teacher cognition
• +۶ مورد دیگر

Minh Hue Nguyen is a Senior Lecturer in EAL/TESOL Teacher Education at Monash University's School of Curriculum, Teaching and Inclusive Education within the Faculty of Education. She holds a PhD in Education (TESOL focused) from Monash University and has taught at Vietnam National University, Deakin University, and the University of Melbourne. Her educational background includes: PhD in Education (TESOL focused), Monash University (2015) MA in Applied Linguistics, Victoria University of Wellington (2008) BA in English Language Teaching, Vietnam National University (2003) Nguyen's research centers on teachers' professional learning, curriculum, and pedagogy in TESOL and EAL contexts, with specific focus on emotional experiences, identity development, mentoring, agency, and collaboration. She explores sociocultural contexts of teacher development through activity theory and sociocultural perspectives, examining how institutions support teachers' learning journeys from preservice to in-service stages. Recent work investigates professional learning for teacher educators and implementation of the Victorian EAL Curriculum. Her 15 most recent publications (2024-2025) reveal a strong thematic focus on language teacher agency, identity negotiation, and multilingual pedagogies. The research increasingly examines emotional dimensions of teaching, cross-cultural identity tensions, and collaborative models between EAL and content teachers, with significant contributions to understanding how teachers navigate complex educational contexts while developing professional identities. Her scientific recognition includes: Penny McKay Award Special Commendation Monash Education Research Community's Publication Award ATEA/Kay Martinez Award for Best Paper Monash Dean of Education’s ECR Project Award Advancing Women's Research Success Grant Vietnamese Government Merit-based Scholarships Nguyen actively supervises PhD research in TESOL teacher professional learning, teacher identity, and curriculum development, though is currently unavailable for new PhD students until 2027. She contributes to editorial boards for Teaching and Teacher Education, Second Language Teacher Education, and System journals, and serves on the Australian Teacher Education Association. Her work supports UN Sustainable Development Goal 4 (Quality Education) through inclusive pedagogical frameworks. She leads research projects including 'Elucidating practices to assist EAL learners to acquire specialised science vocabulary' and 'Establishing an online community-of-practice model for learner agency during work placements,' demonstrating commitment to practical educational innovations.

Liyi Zhouمشاهده پروفایل

مدرس

• Systems Security
• Blockchain Technology
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Liyi Zhou is a Lecturer in the School of Computer Science at the University of Sydney, specializing in systems security, blockchain, and AI. His research focuses on developing automated and adaptive security tools using machine learning and reinforcement learning. He co-founded D23E.ch, a platform addressing blockchain security and privacy challenges. Research interests include AI-driven vulnerability detection, large security models, real-time intrusion prevention, advanced program analysis (fuzzing/symbolic execution), and privacy-preserving systems. He actively recruits PhD students for projects advancing AI in cybersecurity. Notable achievements include pioneering 'sandwich attacks' discovery in DeFi protocols, contributing to Ethereum Foundation grants, and receiving bug bounties from Flashbots and Ethereum Foundation for vulnerability disclosures. His work has been published in venues like IEEE S&P, USENIX Security, and SIGMETRICS. Teaching includes the course INFO2222. He seeks collaborations and funding to bridge academic research with real-world industry problems, emphasizing practical impact.

• Child and Adolescent Development
• Clinical Psychology
• Public Health
• +۷ مورد دیگر

Dr. Michelle Townsend is a Senior Research Fellow at the University of Wollongong's School of Psychology and a Senior Lecturer in the Public Health Discipline within the School of Health and Society. With over two decades of expertise in responding to adverse childhood experiences, her research bridges psychology and public health, focusing on child maltreatment, mental health disorders, self-harm, suicide prevention, and improving outcomes for vulnerable children and families. Her work emphasizes collaboration with clinicians, educators, government agencies, and communities to develop impactful interventions and policies. Notable contributions include the Project Air Strategy for Schools and research on child-to-parent violence, caregiver experiences, and e-therapy for adolescents with borderline personality disorder. Dr. Townsend holds dual roles, combining research leadership with teaching in public health and psychology, and actively supervises PhD students in areas like narrative therapy and suicide risk assessment. Her funding includes grants from NSW Department of Education and the Mental Health Commission of NSW, supporting initiatives such as early intervention in schools and peer support programs for personality disorders. She also contributes to editorial roles and peer review for journals like BMC Psychology and Clinical Psychologist. Through co-design approaches, her research prioritizes ethical principles and community impact, addressing critical societal challenges in mental health and child welfare.

• Children's Literature
• Diversity and Inclusivity
• Social and Emotional Development
• +۶ مورد دیگر

Associate Professor Helen Adam is a leading academic in the School of Education at Edith Cowan University (ECU), specializing in culturally responsive pedagogy and the role of children’s literature in fostering equity and inclusion. She holds a PhD in Early Years Education (2019) and has extensive experience in primary education and literacy research. Her career includes roles as a teacher, researcher, and leader in teacher education, particularly in addressing systemic inequities through literature. She is Board President of the Primary English Teaching Association of Australia (PETAA) and actively contributes to national and international educational initiatives. Research interests focus on diverse children’s literature, social-emotional development, and dismantling prejudice through books. Notable projects include a Churchill Fellowship (2022) exploring global practices in children’s literature and equity-driven education. Her work has been recognized with awards such as the 2023 Churchill Fellowship and multiple ECU research accolades. Helen supervises postgraduate research in literacy and diversity, including projects on postmodern picturebooks and culturally diverse family representation. She collaborates with institutions like ECU’s Kurongkurl Katitjin Centre for Indigenous Education, emphasizing allyship and support for marginalized groups.

• STEM Education
• Pedagogical Content Knowledge (PCK)
• Teacher Expertise
• +۳ مورد دیگر

Amanda Berry is a Professor of STEM Education and Deputy Dean (Research & Innovation) in the School of Education at RMIT University, Australia. Her research focuses on science education, teacher education, and methodologies for capturing classroom practices. She leads initiatives to develop tools for representing teachers' pedagogical expertise and has contributed to frameworks like the refined consensus model of pedagogical content knowledge (PCK). Her work emphasizes teacher professional development, particularly for highly accomplished educators, and explores adaptive expertise in interdisciplinary teaching. She actively supervises postgraduate research students and collaborates internationally on projects like the Sharing Knowledge Project in inquiry-based teaching. Key research themes include STEM integration, teacher educator professionalism, and the role of student voice in assessment reform. Her interdisciplinary approaches bridge theory and practice, influencing both policy and classroom strategies in science and mathematics education.

JuHyun Leeمشاهده پروفایل

دانشیار

• Architectural design computing
• Design cognition
• Urban complexity
• +۸ مورد دیگر

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.

Teresa Wangمشاهده پروفایل

مدرس ارشد

• Entity/User Modeling
• Relational/Structural Machine Learning
• Spatial/Temporal Machine Learning
• +۵ مورد دیگر

Dr. Teresa Wang is a Senior Lecturer in Data Science at Monash University's Faculty of Information Technology, specializing in entity/user modeling, relational/structural machine learning, and graph/network analysis. She holds a Ph.D. from the University of Queensland and degrees from Nanjing University. Currently, she directs the Master of Data Science Program and teaches courses like FIT5201 Machine Learning. Her research focuses on social, e-commerce, and health data modeling, with notable projects including the Knowledge Enriched Approach for Effective Personalization (2025–2027) and collaborations on AI in Mental Health and Site Safety. Dr. Wang has co-authored over 59 publications, emphasizing areas like ontology matching and multimodal data analysis. She actively supervises PhD students and contributes to initiatives like the CSIRO Next Generation Graduates Program for clean energy and sustainability. Education: Ph.D. in Computer Science (2017), University of Queensland Master of Computer Science (2013), Nanjing University Bachelor of Software Engineering (2010), Nanjing University Research Interests: Entity modeling, spatio-temporal data analysis, graph mining, recommender systems, and health/medical records mining. She explores applications in social media, e-commerce, and healthcare sectors. Projects: "Knowledge Enriched Approach for Effective Personalization" (2025–2027) "AI for Clean Energy and Sustainability" (2023–2027) "CSIRO Next Generation Graduates Program: AI in Mental Health" (2023–2027) "Large-scale multimodal knowledge management" (2022–2025) Grants & Collaborations: Engaged with CSIRO, Crank Group, and Pola Practice Pty Ltd. Her work aligns with UN SDGs in education and sustainable energy systems. Labs/Teams: Part of the Monash Energy Institute and Monash Data Futures Institute, contributing to interdisciplinary AI and energy research.

Rita Wilsonمشاهده پروفایل

استاد

• Translation Studies
• Migration and Cultural Identity
• Intercultural Studies
• +۹ مورد دیگر

Rita Wilson is Professor of Translation Studies in the School of Languages, Literatures, Cultures and Linguistics at Monash University and Founding Director of the Monash Intercultural Lab (MIL). She has been a faculty member since 2005 and has previously taught at the University of the Witwatersrand and the University of Melbourne. Her research centers on the interplay between translation, migration, and cultural identity. Key areas include transcultural narrative practices, self-translation, women's writing, and intercultural competence. Her work addresses themes such as language, mobility, citizenship, and social inclusion in migratory contexts. She contributes to the growing field of migration and translation studies, emphasizing the role of language in settlement and representation. Her recent publications span crisis translation, urban translation, and community-based interpreting. The 15 most recent articles reflect a strong trend in applying translation theory to real-world issues such as public health communication, volunteer interpreter training, and multicultural policy, often with a focus on Australia and transnational communities. Faculty of Arts Dean’s Award for Excellence in Graduate Research Supervision (2015) Faculty of Arts Dean's Award for Research Impact (2017) Victoria’s Multicultural Awards for Excellence (2010) Rita Wilson has successfully supervised over 40 postgraduate students in Italian Studies and Translation Studies. She has led and participated in numerous research grants, including projects funded by Caritas Australia and the Department of Education (Australia), focusing on community translation, social cohesion, and crisis communication. Her editorial roles include co-editing The Translator , a leading journal in the field. She is a key figure in the Monash Intercultural Lab, which fosters interdisciplinary research on cultural contact and exchange. She also collaborates with institutions such as Goldsmiths, University of London, and engages in national and international academic networks through seminars, lectures, and editorial responsibilities.

Ghazal Bargshadyمشاهده پروفایل

مدرس

• Affective Computing
• Artificial Intelligence
• Computer Vision
• +۷ مورد دیگر

Dr. Ghazal Bargshady is a Lecturer at the University of Canberra , with expertise in Affective Computing , Artificial Intelligence , and Healthcare Technology . Her roles include teaching units such as Computer Vision, Data Analytics, and Soft Computing, as well as supervising PhD and Master by Research students in AI-driven projects for healthcare and road safety. Education: She earned her PhD in Artificial Intelligence and Computer Vision from the University of Southern Queensland in 2020. Research Interests: Dr. Bargshady specializes in Computer Vision Deep Learning Biosignal Processing Facial Expression Analysis Human Factors in AI Wearable Sensors Multimodal Data Fusion Brain–Computer Interfaces Her work addresses real-world challenges in pain assessment, depression recognition, and driver safety using cutting-edge AI models. Article Trends: Her recent publications focus on Transformer architectures , fNIRS signal analysis , multimodal pain detection , and depression severity estimation via facial video data. These studies highlight her contributions to AI in healthcare , transportation safety , and biomedical signal processing . Teaching Activities: Dr. Bargshady has lectured units including Programming for Data Science , Computer Vision , and Soft Computing , emphasizing practical AI applications.