جست‌وجوی استاد و پژوهشگر

Chris Bainمشاهده پروفایل

استاد

• Digital Health
• Health Informatics
• Telehealth
• +۳ مورد دیگر

Chris Bain serves as the inaugural Professor of Practice in Digital Health within the Faculty of Information Technology at Monash University, with appointments in the Department of Human Centred Computing and the Victorian Heart Institute (VHI). His unique interdisciplinary background bridges medicine and information technology, positioning him at the forefront of digital health innovation. Faculty of Information Technology, Monash University Department of Human Centred Computing Victorian Heart Institute (VHI) Professor Bain holds a medical degree (MBBS) from the University of Melbourne (1990), a Master of Information Technology from Swinburne University of Technology (2001), and a PhD in Information Systems from Edith Cowan University (2014). This rare combination of medical and technological expertise informs his research approach. His research focuses on digital health technologies, particularly examining technology adoption among older adults, telehealth applications in specialized care settings, and digital health equity for diverse populations. Recent work explores 3D remote monitoring, blockchain applications in pharmaceutical supply chains, and patient portal accessibility for culturally and linguistically diverse communities. Analysis of his recent publications reveals a strong emphasis on practical digital health implementation, with particular attention to user experience, health equity, and the integration of emerging technologies into healthcare delivery systems. His work spans both technical innovation and human factors considerations in healthcare technology adoption. Professor Bain actively contributes to the digital health community through conference organization and speaking engagements, including the Health Informatics Conference 2020 as organizer, keynote presentations at the Australia-China Health Summit, and contributions to the Australian Sleep Association seminars. His current research portfolio includes significant projects such as Predicting Hospital Acquired Complications using Electronic Medical Records (funded by Amazon AWS AI), Towards Value-Based Digital Health Transformation in Indonesia (funded by DFAT), and the MedTech Commercialisation Advancement Program. These projects demonstrate his commitment to translating research into practical healthcare solutions with real-world impact.

• Second language acquisition
• Second language teaching pedagogy
• Teaching Chinese as a second/heritage language
• +۳ مورد دیگر

Hui Huang is a Senior Lecturer in Chinese Studies at Monash University, specializing in second language acquisition and pedagogy. Their research focuses on teaching methodologies, technology integration in language learning, sociolinguistics, and immigrant identity formation in multilingual contexts. Huang has collaborated on projects such as Collaborative Teaching, Learning and Research in Chinese Studies and My Life in Australia: Chinese Immigrant Narratives . Teaching commitments include courses for background speakers of Chinese (ATS1905/1906) and advanced Chinese language modules (ATS3007/3008). Their work bridges language education with sociocultural studies, emphasizing practical applications for immigrant communities and heritage language maintenance. Education : Not explicitly detailed in the text. Grants/Projects : 6 major projects including ARC-funded research and cross-university collaborations. Labs/Teams : Active in interdisciplinary teams focusing on virtual education and immigrant narratives. Research outputs (48+ articles) explore topics like online language learning efficacy, sociolinguistic identity negotiation, and pedagogical innovations in virtual environments. Key themes include adapting to post-pandemic education challenges and leveraging local community resources for language revitalization.

Liang Liمشاهده پروفایل

دانشیار

• Early Childhood Education
• Infants-toddlers education and care
• Play and Pedagogy
• +۵ مورد دیگر

Liang Li is an Associate Professor in Early Childhood Education at Monash University's Faculty of Education. She holds a PhD and previously worked as an early childhood teacher in Australia. Her research adopts a cultural-historical perspective to investigate infant-toddler education, play pedagogy, STEM education, and family practices in China and Australia. She has led and contributed to numerous research projects funded by organizations like the Collier Charitable Fund and Victorian Curriculum and Assessment Authority. Key research areas include infants-toddlers' education and care, play-based learning, visual methodology, and speech development in early childhood. Li has received multiple awards, including the MGA Supervisor of the Year (2023), Dean's Excellence in Research (2015), and Dean's Teaching Awards (2013/2016). She actively collaborates with international researchers and institutions, contributing to global educational initiatives such as the National Children's Education and Care Workforce Strategy in Australia. Her publications span 78 outputs, focusing on topics like mathematics transition in primary education, conceptual playworlds in early childhood settings, and the role of AI in educational feedback. Li's work addresses UN Sustainable Development Goals related to quality education and inclusive societies. She supervises students in child development, STEM education, and teacher education, emphasizing culturally responsive methodologies. Notable research projects include 'Supporting children’s mathematics transition to primary school in play' (2024-2025) and 'Victorian Curriculum F-10: Mathematics Version 2.0 - Professional Learning Program' (2023-2024). Her expertise bridges theoretical frameworks with practical educational strategies, impacting policy and practice in early childhood and primary education systems.

Xiaojian Zhaoمشاهده پروفایل

استاد

• Behavioral Economics
• Experimental Economics
• Game Theory
• +۷ مورد دیگر

Xiaojian Zhao is a Professor in the Department of Economics at Monash University, specializing in behavioral and experimental economics with a focus on motivated beliefs, contract theory, and intertemporal decision-making. His work bridges microeconomic theory and practical applications in finance and industrial organization. He serves on the editorial board of the Journal of Behavioral and Experimental Economics and has authored influential studies in top-tier journals like the Journal of Political Economy and Review of Economic Studies . Research Interests: Behavioral Economics, Experimental Economics, Game Theory, Motivated Beliefs, Contract Theory, Intertemporal Choice, and Financial Contracting. His work contributes to UN Sustainable Development Goals related to economic stability and consumer protection. Editorial Roles: Journal of Behavioral and Experimental Economics (Editorial Board), Games (Guest Editor, 2022–2023) Awards: 2022 Dean’s Award for Research Excellence, 2022 Departmental Research Excellence Award Key Collaborations: Global network spanning institutions in China, Europe, and North America Research Trends: Recent work explores time perception’s impact on decision-making, strategic information suppression in finance, and the psychological underpinnings of motivated beliefs. Experimental methods feature prominently in his studies of cognitive biases and social preferences.

Azin Jananiمشاهده پروفایل

مدرس

• Signal Processing
• Artifact Removal
• Feature Extraction
• +۴ مورد دیگر

Dr. Azin Janani is a Lecturer at the School of Electrical Engineering and Computer Science, University of Queensland. She is a member of the Electromagnetic Research Group where she conducts research on signal processing and disease classification using electromagnetic technologies for medical applications. Her educational background includes: B.S. in Biomedical Engineering from Amirkabir University (Tehran Poly-Technique), Iran (2008) M.S. in Biomedical Engineering from Amirkabir University (Tehran Poly-Technique), Iran (2010) Ph.D. from Flinders University, Australia (2019) Dr. Janani specializes in artifact removal, feature extraction, and disease classification from various biological signals including Electrocardiogram (ECG), Phonocardiogram (PCG), and Electroencephalogram (EEG). Her expertise in electromagnetic imaging has led to innovations in non-invasive diagnostic tools, particularly for liver disease detection. She is proficient in Python, Matlab, Java, and C programming languages, supporting her development of computer-aided diagnosis systems. Her recent publications demonstrate a strong focus on portable electromagnetic devices for medical diagnostics, with particular emphasis on torso imaging and liver health monitoring. These works integrate antenna design, signal processing, and biomedical applications to create novel diagnostic approaches that could transform non-invasive medical testing. Her notable recognition includes: Australian Endeavour Postgraduate Scholarship (2016) Dr. Janani is actively involved in research supervision and grant-funded projects. She currently supervises PhD research on portable electromagnetic devices for dental vitality testing. Her current funding includes an NHMRC IDEAS Grant (2025-2027) for developing a Portable Electromagnetic Torso Scanner, demonstrating her leadership in translating research into practical medical applications. As a key member of the Electromagnetic Research Group at the University of Queensland, Dr. Janani collaborates with interdisciplinary teams including Professor Amin Abbosh, Sasan Ahdi Rezaeieh, and Amin Darvazehban to advance electromagnetic sensing technologies for healthcare applications. Her work bridges electrical engineering, computer science, and medical diagnostics to create innovative solutions for challenging healthcare problems.

Meredith Greshamمشاهده پروفایل

پژوهشگر ارشد

• Dementia Care
• Aged Care Services
• Post-Diagnostic Support
• +۳ مورد دیگر

Dr. Meredith Gresham is a Research Fellow at the University of New South Wales (UNSW), Centre for Healthy Brain Ageing (CHeBA). Her work focuses on improving post-diagnostic support for people with dementia, caregiver well-being, and optimizing residential and community care systems. She coordinates the international COGNISANCE Project, which develops practical toolkits for dementia patients, care partners, and healthcare providers to enhance quality of life and functional support post-diagnosis. Dr. Gresham holds a PhD from the University of Sydney, alongside a Diploma in Arts (Music) and a Bachelor of Occupational Therapy from Cumberland College (now part of UNSW). Her career spans over three decades, with pioneering contributions to dementia caregiver training programs, respite care models, and evidence-based interventions in aged care. Key research themes include post-diagnostic care pathways, cultural barriers in dementia support, and technology-assisted solutions for caregivers. Her work bridges policy, practice, and patient needs, emphasizing co-design with affected communities. Projects such as the 'Going to Stay at Home' program and the DesignSmart environment rating tool highlight her focus on practical, scalable solutions.

Roxanne Jonesمشاهده پروفایل

پژوهشگر

• Aboriginal and Torres Strait Islander Health
• Social Epidemiology
• Child Health and Wellbeing
• +۳ مورد دیگر

Roxanne Jones is a Palawa woman and Indigenous Postdoctoral Fellow at the Australian National University (ANU), holding roles as a PhD candidate and Research Associate within the ANU College of Health and Medicine. Her work focuses on social epidemiology, Aboriginal and Torres Strait Islander child health, and addressing health inequities through community-driven research. She is a Registered Nurse with experience in Pediatric Intensive Care and holds advanced qualifications including a Master of Philosophy (Applied Epidemiology) from ANU and a Graduate Certificate in Indigenous Research and Leadership from Melbourne University. Education: PhD Candidate, ANU College of Health and Medicine MPhil (Applied Epidemiology), ANU Graduate Certificate in Indigenous Research and Leadership, Melbourne University Bachelor of Nursing and Bachelor of Health Science (Paramedics), Queensland University of Technology Research Interests: Aboriginal and Torres Strait Islander wellbeing and health disparities Impact of racial discrimination on mental health Development of culturally valid health measures Role of Indigenous cultural practices in health outcomes Community-driven epidemiological studies Key Projects: Mayi Kuwayu National Study of Aboriginal and Torres Strait Islander Wellbeing Yukaaywa Purrary Study on Child and Adolescent Wellbeing Development of cultural indicators and discrimination measurement tools Yarrabah Counts community development initiative Labs/Teams: National Centre for Aboriginal and Torres Strait Islander Wellbeing Research at ANU.

Gosia Mikolajczakمشاهده پروفایل

پژوهشگر ارشد

• Gender Studies
• Gender Policies
• Well-being of Vulnerable Groups
• +۳ مورد دیگر

Gosia Mikolajczak is a Research Fellow at the Global Institute for Women's Leadership at the Australian National University (ANU). She holds a PhD in Social Psychology from the University of Warsaw and has prior affiliations with the University of Melbourne and La Trobe University. Her work focuses on gender policies, the well-being of vulnerable groups, social change, and ideology. Education: PhD in Social Psychology (University of Warsaw). Research Interests include gender equality in the public sector, media engagement, and the intersection of gender with health and political participation. Recent projects include evaluating women’s leadership programs and analyzing gender-based policies in Southeast Asia. Key Projects: Includes initiatives on gender equality targets in public sectors and programs addressing economic empowerment in Indonesia and Malaysia. Her work often intersects with issues of public health, such as racism’s impact on youth well-being and HIV quality of life scales. Labs/Teams: Collaborates within the Global Institute for Women's Leadership and ANU’s interdisciplinary networks, focusing on policy evaluation and social change frameworks.

Margaret Mooreمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Cognitive Neuroscience
• Stroke Rehabilitation
• +۴ مورد دیگر

Dr. Margaret Moore is an ARC Research Fellow at the Queensland Brain Institute, The University of Queensland. Her research focuses on understanding the neural mechanisms underlying cognitive impairments post-stroke, particularly visuospatial neglect and related reading disorders. She employs advanced lesion-mapping techniques and neuroimaging analyses to link anatomical damage to functional deficits. Key areas include domain-specific cognitive impairments, recovery trajectories, and the development of clinical screening tools. Her work bridges neuroscience and clinical practice, emphasizing methodological rigor in lesion-symptom mapping. Her investigations integrate CT/MRI neuroimaging with behavioral assessments, aiming to improve early detection and targeted rehabilitation strategies. Notable contributions include studies on right/left hemispheric lesion differences, automated scoring programs for cognitive tasks, and guidelines for stroke-related neglect screening. Collaborations with international researchers enhance her interdisciplinary approach to advancing neurological care. Research themes include: - Lesion mapping methodologies and their clinical applications - Post-stroke cognitive recovery and rehabilitation - Neglect dyslexia and reading impairments - Neuroimaging biomarkers for cognitive deficits Publications highlight methodological innovations in analyzing CT/MRI data alongside behavioral outcomes, emphasizing translational impact for stroke survivors.

Rachael Unicombمشاهده پروفایل

مدرس ارشد

• Speech Pathology
• Stuttering
• Speech Sound Disorders
• +۴ مورد دیگر

Dr. Rachael Unicomb is a Senior Lecturer in the School of Health Sciences at the University of Newcastle, specializing in speech pathology. Her work focuses on stuttering, speech sound disorders, and the co-occurrence of these conditions in children. She holds a PhD from the University of Newcastle (2015) and a Bachelor of Speech Pathology (Honours). Dr. Unicomb is a Fellow of the Higher Education Academy and integrates innovative methods like virtual reality (VR) into teaching and clinical practice. Her research includes pioneering guidelines for concurrent treatment of stuttering and speech sound disorders, expanding into larger population studies. She collaborates with institutions like the University of Melbourne and Murdoch Children’s Institute on projects such as the Early Language in Victoria Study (ELVS). Clinically, she has experience in early childhood intervention, community health, and private practice, including work with vulnerable families in programs like Newpin. Dr. Unicomb’s awards include the 2014 Research Higher Degree Publication Prize and the 2011 Australian Postgraduate Award. She has secured over $700,000 in grants for projects on VR education, stuttering prevalence, and interdisciplinary care. Her teaching spans undergraduate and postgraduate courses in speech pathology, emphasizing evidence-based practice and simulation training. She actively supervises honors and PhD students, focusing on topics like stuttering intervention, cultural perceptions, and interprofessional education.

• Applied Cognitive Psychology
• Visual Attention
• Dyslexia
• +۷ مورد دیگر

Professor Kristen Pammer is the Head of the School of Psychology at the University of Newcastle. She holds qualifications from the University of Wollongong and the University of New South Wales, specializing in science, psychology, and neuroanatomy. Her research focuses on applied cognitive psychology, particularly visual attention mechanisms in reading, dyslexia, driving hazards, and the implications of autonomous vehicles. She has pioneered brain imaging studies using magnetoencephalography (MEG) to explore neural correlates of reading deficits and driving safety. Research Contributions : Developed Australia’s first MEG machine through LIEF funding. Collaborated nationally on driver training programs for emergency services and novice drivers. Explored motorcycle detection failures and situational awareness in driving. Investigated the role of the dorsal visual pathway in reading and dyslexia. Teaching & Leadership : Former Associate Dean for Science Education at ANU, fostering teaching innovation and inclusivity. Recipient of awards including the ANU Top Supervisor Award and VC’s Indigenous Education Excellence Award. Designed programs to enhance international student integration and diversity in psychology education. Grants & Recognition : Secured funding for MEG technology and autonomous vehicle research. Recognized for contributions to student learning and teaching excellence. Member of ANU Education Committee and Promotions Committee. Labs & Future Work : Continues research into neurocognitive mechanisms of reading and driving safety. Advocates for culturally sensitive education strategies for Indigenous students. Explores human-automation interaction in transportation.

Atiyeh Vaezipourمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Digital Health
• Virtual Reality in Rehabilitation
• +۳ مورد دیگر

Dr. Atiyeh Vaezipour holds an honorary research fellow appointment at the RECOVER Injury Research Centre, University of Queensland, and works as a human factors researcher at Google Maps for Automotive. She earned a PhD in Human-Computer Interaction from Queensland University of Technology. Her research focuses on innovative technology solutions in two core areas: driving behavior safety and digital health interventions using virtual reality in rehabilitation. Her expertise spans mobile health applications, wearable devices for disability support, and telemedicine feasibility studies. Key research interests include: Design of in-vehicle HMIs for eco-safe driving VR-based psychological therapy for driving anxiety and phobia Mobility solutions for visually impaired populations Health technology evaluation methodologies Recent work highlights include: Analysis of driving behavior in functional neurological disorder patients Systematic reviews on conversational AI in healthcare and wearable navigation systems Feasibility studies for telerehabilitation programs Current affiliations include: RECOVER Injury Research Centre Google Maps for Automotive Her research contributes to advancing: Safety-critical transportation systems Digital health innovation adoption Accessibility technologies

• Software Engineering
• Cybersecurity
• Static Analysis
• +۶ مورد دیگر

Rahul Gopinath is a Lecturer in the School of Computer Science at the University of Sydney. His research focuses on the intersection of Software Engineering and Cybersecurity, particularly in static and dynamic program analysis to enhance software reliability, security, and maintainability. Prior to his current role, he was a postdoctoral researcher at CISPA Helmholtz Center for Information Security in Germany and earned his Ph.D. in 2017 from Oregon State University, USA. He is a co-author of the influential textbook *Fuzzing Book*, which serves as a foundational resource for students entering the field of fuzzing. His research interests span static and dynamic analysis techniques, specification mining, fuzzing, parsing, grammar inference, mutation analysis, and automatic program repair. Rahul Gopinath’s recent work includes developing FormatFuzzer for binary file format testing, advancing input grammar mining techniques, and exploring capability-based access control systems. He actively contributes to international conferences such as ICSE, ISSTA, and FSE, and his publications address challenges in mutation analysis, test adequacy, and empirical software engineering. Current research supervision includes a project titled *Evaluating Fast Virtual Machine Implementation Techniques for Fuzzing* with student Jack LUO. His work has been recognized through collaborations and presentations at leading institutions, reflecting his commitment to advancing automated software testing and security practices.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Dr. Maryam Khanian Najafabadi is a Lecturer in the School of Computer Science at The University of Sydney. Her expertise spans Computational Intelligence, Artificial Intelligence, and Natural Language Processing, with a focus on applying machine learning and data mining techniques to solve real-world challenges in industry and academia. She holds a strong track record of research in recommendation systems, sentiment analysis, and biometric systems, and has led projects integrating AI methodologies across diverse sectors. Her research interests include Machine Learning, Data Mining, Recommendation Systems, and Natural Language Processing, with current projects emphasizing intelligent techniques for user-item interaction analysis and sentiment/emotion detection in text. She has published extensively in Tier 1 journals and conferences, with a focus on graph neural networks, hybrid recommendation models, and sarcasm detection frameworks. Dr. Najafabadi is committed to education, teaching courses in Machine Learning, Data Mining, Programming Languages, and Computer Science fundamentals. She emphasizes collaborative learning and practical skills development in her teaching. While no specific grants are detailed, her work demonstrates active engagement in both academic and applied research. Her professional activities include supervising undergraduate/postgraduate projects and leading industry-linked research initiatives. Her work has been recognized through awards and credentials (specific details unlisted here), reflecting her contributions to computational intelligence and interdisciplinary applications.

• Theoretical Computer Science
• Combinatorial Optimization
• Algorithms
• +۴ مورد دیگر

Dr. Julian Mestre is an Associate Professor in the School of Computer Science at the University of Sydney. He holds a BE from the Universidad Católica de Argentina (UCA), and MSc and PhD degrees in Computer Science from the University of Maryland (UMD, USA). His research focuses on theoretical computer science, particularly the design and analysis of efficient algorithms for combinatorial optimization problems such as scheduling, routing, and matching. He previously served as a postdoctoral fellow at the Max Planck Institute for Informatics in Germany. **Education**: PhD in Computer Science, University of Maryland (2000s) MSc in Computer Science, University of Maryland Bachelor of Engineering (BE), Universidad Católica de Argentina **Research Interests**: Julian specializes in algorithms for combinatorial optimization, including approximation algorithms, scheduling, graph theory, and discrete mathematics. His work often bridges theoretical foundations with practical applications in areas like mobile app optimization, sensor networks, and distributed systems. **Grants**: 2015: Local Reoptimization for Turbocharging Heuristics (ARC Discovery Project) 2013: Universal Solutions for Scheduling Problems (ARC DECRA) 2012: Algorithms for Combinatorial Optimization on Uncertain Inputs (Group of Eight/Germany Grant)