جست‌وجوی استاد و پژوهشگر

Quan Z. Shengمشاهده پروفایل

استاد

• Internet of Things
• Big Data Analytics
• Machine Learning
• +۳ مورد دیگر

Quan Z. Sheng is a Distinguished Professor and Head of the School of Computing at Macquarie University, Australia. Previously, he held senior leadership roles at the University of Adelaide. He earned his PhD from the University of New South Wales (UNSW) and has extensive industry experience as a senior software engineer. His research focuses on Internet of Things (IoT), Big Data Analytics, Machine Learning, and Web Science, with significant contributions to services computing and trust management. Sheng has received notable awards, including the AMiner Most Influential Scholar Award (2018) and ARC Future Fellowship (2014). His research interests span IoT service ecosystems, graph-based machine learning, and federated learning. Recent achievements include advancements in graph-level learning and fraud detection systems. Sheng leads major grants like the ARC Research Hub in IoT for Water and collaborates with industry through CRC partnerships. His team has produced over 500 publications, with impactful work featured in Communications of the ACM and top conferences like IEEE ICDM. Sheng advises a diverse group of PhD students and oversees research centers including the Data Horizons and Smart Green Cities. Awards: AMiner Most Influential Scholar Award on IoT (2018) ARC Future Fellowship (2014) Chris Wallace Award for Outstanding Research (2012) Best Paper Awards at IEEE ICDM 2021 and PDCAT 2019 Grants & Collaborations: Leads ARC Industrial Transformation Hubs ($10M+), Digital Finance CRC, and Smart Cities projects. Active in IEEE Technical Communities and ACS IoT Advisory Board. Teams & Labs: Directs research groups in AI, IoT, and data science. Collaborates globally through visiting scholars and industry partnerships.

Jinglan Zhangمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Big Data Analysis
• Computer Human Interaction
• +۷ مورد دیگر

Dr. Jinglan Zhang is a Senior Lecturer at Queensland University of Technology (QUT), specializing in Artificial Intelligence and Information Systems. She holds a PhD from QUT and has over 15 years of research experience, focusing on multimedia processing, big data analysis, and human-computer interaction. Her work spans environmental monitoring, health informatics, and web applications. Dr. Zhang has published over 100 refereed papers and secured over $1M in research funding. She actively supervises PhD and Masters students and mentors colleagues through QUT's mentoring program. Education: Bachelor of Engineering (1987) and Master of Engineering (1990), Beijing University of Aeronautics and Astronautics (now Beihang University), China. Master of Computing (1998–1999), Macquarie University, Australia. PhD (2003), Queensland University of Technology. Research Interests: Artificial Intelligence: Visual/Acoustic Information Processing, Machine Learning. Big Data Analysis and Visualization. Computer-Human Interaction, including accessibility for people with disabilities. Software Engineering, Mobile/Web Applications. Environmental Monitoring using Acoustic Sensors. Academic Contributions: Dr. Zhang has led projects in bioacoustics, healthcare AI, and accessibility tools. She organizes international conferences (e.g., IEEE e-Science 2010) and collaborates with institutions in China and Australia. Her recent work explores transfer learning, data scarcity solutions, and AI ethics. Grants & Advising: Over $1M in research grants, including projects on assistive technologies for people with intellectual disabilities. Supervised 10 PhD and 2 Masters students to completion. Current mentor for 3 PhD students and collaborator on interdisciplinary teams. Labs & Teams: Core member of QUT's Centre for Data Science, leading the Environment and Natural Systems research theme. Active in collaborative initiatives with Chinese universities and research institutions.

Miguel Canizaresمشاهده پروفایل

پژوهشگر

• Data Analytics
• Data Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Miguel Canizares is a Researcher and PhD Candidate in the School of Information Systems at The University of Queensland. He holds an Associate Fellow position at the Higher Education Academy and previously served as a tutor in Information Systems Analysis, Design, and Data Analytics courses. His academic journey includes a Master of Business Information Systems from the same university, where his thesis focused on developing a learning technologies dashboard for researchers. Education: PhD Candidate, School of Information Systems, The University of Queensland (current) Master of Business Information Systems, The University of Queensland (completed) Research Interests: Miguel’s work centers on data analytics, visualization, and human-computer interaction within educational contexts (Learning Analytics). He explores how interactive visualizations enhance meaning-making processes and develops tools to improve disaster warning systems and learning technologies. His interdisciplinary approach bridges software development expertise with cognitive and educational sciences. Academic Contributions: His recent research spans innovative disaster management frameworks leveraging real-time data and interactive visualizations to improve crisis response. Earlier work involved collaborating with learning technology researchers to design user-centric dashboards, reflecting his dual focus on technical implementation and pedagogical impact. Technical Expertise: Skilled in full-stack development (C#, ASP.NET Core, Blazor, JavaScript) and data processing pipelines, Miguel combines practical software engineering with academic research to create impactful solutions in education and disaster preparedness.

Khanh Luongمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Data Mining
• Multi-Aspect Data Clustering
• +۷ مورد دیگر

Dr. Khanh Luong is a Research Fellow at the School of Communication within the Faculty of Creative Industries, Education & Social Justice at Queensland University of Technology (QUT). She holds a PhD in Computer Science specializing in Data Science (2019) from QUT. Her research focuses on multi-aspect data, addressing challenges in high-dimensional, sparse datasets through innovative machine learning and data mining methods. She contributes to real-world applications in diverse domains like text, image, and bioinformatics data. Teaching roles include tutoring in Discrete Mathematics, Programming Principles, and Database Management for undergraduate/postgraduate students. She also designed the online unit 'Introduction to Programming' for the Master of IT program. Research interests span machine learning, data mining, multi-aspect data clustering, dimensionality reduction, and unsupervised learning. She works on the Applied Data Science project at QUT's Centre for Data Science, developing solutions for complex industry datasets. Publications emphasize multi-view clustering, manifold learning, and domain adaptation. Collaborations include roles in organizing the 2021 AusDM conference and reviewing for IEEE journals.

Michelle Liuمشاهده پروفایل

مدرس

• Philosophy of Mind
• Consciousness
• Philosophy of Language
• +۴ مورد دیگر

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.

Shujie Cuiمشاهده پروفایل

مدرس

• Applied Cryptography
• Cloud Computing Security
• Distributed Systems Security
• +۳ مورد دیگر

Dr. Shujie Cui is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. They hold a PhD in Computer Science from the University of Auckland (2019) and previously conducted postdoctoral research in the Large-Scale Data & Systems (LSDS) group at Imperial College London. Their research focuses on applied cryptography, cloud computing security, trusted execution environments, and privacy-preserving machine learning. Notable collaborations include projects on quantum information technology applications, privacy-preserving machine learning, and sustainability informatics for the Pacific. Current research interests span blockchain-based energy trading systems and unbiased recommendation algorithms. They are actively involved in supervising PhD students and contributing to interdisciplinary initiatives such as the Algorand Centre of Excellence. Key projects include the Quantum Information Technology: Industry Readiness & Applications (2023-2027) and CSIRO Privacy-Preserving Machine Learning (2023-2027). Their work emphasizes practical cryptographic solutions for modern distributed systems and emerging technologies. Dr. Cui's research has produced impactful publications in areas like privacy-preserving face recognition (CryptoMask) and fault-tolerant blockchain-based search mechanisms. These contributions highlight their expertise in balancing security, privacy, and computational efficiency in complex systems.

Damiano Spinaمشاهده پروفایل

مدرس ارشد

• Information Retrieval
• Text Analytics
• Interactive Information Retrieval (IIR)
• +۷ مورد دیگر

Dr. Damiano Spina is a Senior Lecturer at RMIT University's School of Computing Technologies, specializing in Information Retrieval (IR), Text Analytics, and Human-AI Interaction. He leads research on fairness-aware evaluation, interactive search systems, and conversational AI. His work includes the Walert chatbot, EXIST projects on sexism detection, and contributions to the Australian Internet Observatory. Research interests span IR evaluation, voice-enabled assistants, and ethics in AI. Awards include an ARC DECRA (2020-2023) and RMIT's Research Impact Award (2021). He supervises PhD/Master’s students on topics like neurophysiological approaches to IR and misinformation detection. Teaching includes Capoeira and Samba, reflecting his commitment to cultural engagement. Key affiliations include the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) and the International Panel on the Information Environment (IPIE).

• Social Marketing
• Communication Studies
• Public Health
• +۶ مورد دیگر

Professor Linda Brennan is an inaugural Professor of Advertising in the School of Media & Communication at RMIT University. Her research focuses on the strategic use of advertising and social marketing for social change, particularly addressing behaviors in older populations and linguistically/culturally diverse communities. She has over 15 years of expertise in qualitative and quantitative marketing research methods, bridging academic and industry projects with government and non-profit sectors. Her work emphasizes the impact of marketing communications on public health initiatives and sustainable consumption patterns. Research Interests: Social marketing and government marketing strategies Influence of advertising on behavior change Food waste reduction through packaging design and policy Health communication via social media platforms Cross-cultural marketing effectiveness Recent scholarly focus includes leveraging social network analysis and natural language processing to study food security discourse and consumer behavior. She actively supervises research projects on topics like food perception in space, ugly food purchasing behaviors, and digital interventions for dietary improvement. Awards: None explicitly mentioned in available texts. However, her extensive publications and industry partnerships underscore her academic and professional influence. Key Collaborations: Engages with Breastscreen Victoria, Australian food industry stakeholders, and global health organizations to translate research into actionable social marketing strategies.

• Media Studies
• Film Industry Analysis
• Cultural Studies
• +۴ مورد دیگر

Professor Sean Redmond is an Associate Dean (Media, Writing and Publishing) at RMIT University's School of Media & Communication. His research focuses on media studies, cultural analysis, and the intersection of technology with contemporary societal issues. Notable projects include exploring the Saudi film industry's global reputation, cultural censorship in Chinese cyberpunk, and child performance in 1960s American sitcoms. His work spans film theory, celebrity studies, and pedagogical innovation in creative practices. He actively supervises research projects addressing cultural dynamics and digital media transformations. With a prolific publication record, Redmond engages with themes like loneliness in media, virtual production technologies, and the ethics of cinematic representation. Research interests include celebrity politics, global media governance, and the emotional dimensions of visual and auditory media. He contributes to interdisciplinary dialogues on media's role in shaping cultural narratives and societal values.

Md Abul Basharمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Natural Language Processing
• Machine Learning Applications
• +۲ مورد دیگر

Md Abul Bashar is a Research Fellow at the Queensland University of Technology's Centre for Data Science and School of Computer Science. His research focuses on developing deep learning and machine learning solutions for natural language processing tasks, including abusive content detection, misinformation analysis, and social media mining. Industrial applications include unconscious bias detection systems deployed at Fortune 500 companies and automated marketing strategy generation commercialized by Robotic Marketer. Research areas span multimodal fusion (uncertainty-guided meta-learning in 2025, pre-gating attention mechanisms in 2024), longitudinal data analysis (GAN-based imputation in 2024), and cybersecurity applications (Log4Shell threat detection in 2023). Articles demonstrate strong emphasis on NLP techniques adapted for low-resource scenarios through transfer learning and generative models. Significant Applications Unconscious bias detection for enterprise content management Automated marketing report generation (commercialized) Misogyny detection featured in Forbes, Daily Mail Energy payment propensity prediction Indigenous heritage repatriation support systems

Chadni Islamمشاهده پروفایل

مدرس

• Cyber Security
• Software Engineering
• Machine Learning
• +۵ مورد دیگر

Dr Chadni Islam is a Lecturer in the School of Computer Science at Queensland University of Technology (QUT), specializing in Cyber Security and Software Development. She holds a PhD from the University of Adelaide. Her research focuses on cybersecurity, software supply chain attacks, machine learning applications in security, and NLP techniques in software debugging. Dr. Islam has contributed to frameworks for post-quantum cryptography migration, dynamic threat hunting, and security tool orchestration. Her work includes developing datasets like QUT-DV25 for analyzing next-gen software supply chain attacks, and tools such as DySec for detecting malicious packages in the PyPI ecosystem. She has published extensively on topics like API misuse detection, system-level bug reproduction, and risk assessment frameworks. Dr. Islam’s research bridges theoretical advancements with practical cybersecurity challenges, emphasizing automation, tool integration, and threat intelligence. Her articles reflect a strong focus on real-world applications, including improving software supply chain resilience and enhancing security through machine learning.

Dakshi Kapugama Geeganageمشاهده پروفایل

پژوهشگر ارشد

• Text Mining
• Topic Modelling
• Natural Language Understanding
• +۳ مورد دیگر

Dr. Dakshi Kapugama Geeganage is a Research Fellow in Process Science and Sessional Academic at the School of Information Systems, Queensland University of Technology (QUT). She holds a PhD in Data Science from QUT (2022) and has prior academic qualifications including an MSc in Artificial Intelligence (University of Moratuwa, Sri Lanka, 2014) and a BSc (Special) Honors in Information Technology (Sri Lanka Institute of Information Technology, 2010). Her research focuses on text mining, topic modelling, natural language understanding, and process mining. She has contributed to advancements in semantic-based topic representation, event log enrichment using unstructured text (Text2EL+), and digital health data quality analysis. Her work bridges data science methodologies with practical applications in healthcare and process optimization. Key publications include studies on semantic-enhanced topic modelling (e.g., Semantic-LDA), digital health data imperfections, and event log enrichment. Her research trends emphasize integrating semantic analysis and domain-specific expertise to enhance data-driven decision-making. Awarded Fellow of the Higher Education Academy (FHEA), Dr. Geeganage is actively involved in teaching and research supervision. Her projects often involve collaborations with interdisciplinary teams, focusing on real-world challenges in healthcare data systems and process automation. She is affiliated with the QUT Centre for Data Science, contributing to initiatives in sports data science and AI.

Laurianne Sitbonمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Natural Language Processing
• Accessibility
• +۴ مورد دیگر

Associate Professor Laurianne Sitbon is an ARC Future Fellow and Associate Professor at QUT's School of Computer Science. Her work focuses on human-computer interaction, natural language processing, and accessibility for people with intellectual disabilities. She leads projects like designing pictorial communication frameworks and human-machine teaming systems. She holds a PhD from the University of Avignon and collaborates with organizations like Endeavour Foundation. Research interests include co-design methodologies, assistive technologies, and inclusive system design. Awards include ARC Future Fellowship. Supervises PhD projects on topics like multimodal communication, social robots, and human-AI collaboration in healthcare. Key projects include: A Pictorial Communication Framework for Inclusion (ARC FT190100855) Human-Machine Teaming: Designing Synergistic Learning (ARC DP200103582) Publications span over 50 peer-reviewed papers, emphasizing participatory design with neurodiverse populations. Collaborates internationally on inclusive AI applications and disability-inclusive technology.

Neil Baileyمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Mindfulness
• Brain Stimulation
• +۵ مورد دیگر

Dr. Neil Bailey is a Senior Research Fellow at Australian National University (ANU) and Head of Data Science at Monarch Mental Health Group. He holds an adjunct senior research fellow position at Monash University's Department of Psychiatry. His research focuses on understanding the neural mechanisms of mindfulness meditation, depression treatment efficacy, and traumatic brain injury recovery using EEG, machine learning, and brain stimulation techniques. Key areas include meditation's impact on attention, mental health outcomes, and personalized depression treatments through EEG biomarkers. His work contributes to UN Sustainable Development Goals related to mental health and well-being. Notable achievements include over 70 studies, 2000+ citations, and awards like the Alfred Small Grant Scheme (2018) and Sao Paulo Neuroscience Scholarship (2018). He actively collaborates on global initiatives and has published industry guidelines for mindfulness in schools. Current projects explore the brain-body connection in meditators and predictive markers of TMS therapy response. Expertise: Neuroimaging, EEG analysis, mindfulness neuroscience, depression treatments Affiliations: ANU, Monash University, Monarch Mental Health Group Public engagement includes media appearances discussing mindfulness and mental health innovations, emphasizing translational research for societal impact.

Anna Filipiمشاهده پروفایل

دانشیار

• Conversation Analysis
• Bilingualism
• Early Childhood Interaction
• +۴ مورد دیگر

Anna Filipi is an Associate Professor at Monash University's School of Curriculum Teaching & Inclusive Education, currently serving as Director of Student Engagement in the Faculty of Education. Her career spans teaching, administration, and research, with extensive experience in language testing, teacher development, and multilingualism. She has led projects on language policy, EAL learners, and international student pathways, contributing to over 95 publications. Her work bridges Conversation Analysis (CA) with practical applications in education, including bilingual family dynamics and early childhood interaction. Filipi has supervised 17+ postgraduate students and received awards for research and supervision. She collaborates internationally, advising on curriculum design in China and Vietnam. Education & Career: Began as a language teacher, then moved into roles at ACER and VCAA, managing language testing programs and curriculum development. Held leadership positions in Monash's Master of Education (TESOL) and Master of Applied Linguistics programs. Research Focus: Conversation Analysis applied to child social development, bilingualism, language testing, and classroom interaction. Key areas include storytelling in family settings, spatial discourse, and multilingual practices of international students. Grants & Projects: Led 5 projects including 'Elucidating practices to assist EAL learners' (2021-2022) and 'TESOL Professional Learning Program for Zhejiang Province' (2016). Active in consultancy, curriculum design, and policy advising. Awards: Dean's Award for Supervision (2019), M.A.K. Halliday Scholarship (1996), and recognition for contributions to language education policy. Future Work: Expanding research on family language policies and international student well-being, with ongoing collaborations in multilingual education contexts.