جست‌وجوی استاد و پژوهشگر

Gloria Robertsمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Psychiatry
• Bipolar Disorder
• +۳ مورد دیگر

Dr. Gloria Roberts is a Research Fellow at the Black Dog Institute, affiliated with the University of New South Wales' Faculty of Medicine, School of Psychiatry. Her research focuses on identifying predictors of bipolar disorder development in high-risk populations, with particular emphasis on neural mechanisms of executive functioning and emotional processing. Location: Black Dog Institute, Hospital Road, Prince of Wales Hospital, Randwick NSW 2031 Contact: +61 2 9382 8324 | ORCID: https://orcid.org/0000-0002-1966-5120 Education Background: B.Sc in Applied Psychology (University College Cork, Ireland, 2002) M.Sc in Neuropharmacology (National University of Ireland Galway, Ireland, 2003) Diploma in Statistics (Trinity College Dublin, Ireland, 2006) PhD in Neuroscience (Trinity College Dublin, Ireland, 2008) Dr. Roberts' research program centers on the neural basis of emotional dysregulation characteristic of mood disorders, employing structural and functional Magnetic Resonance Imaging as her primary research tool. Her work integrates advanced neuroimaging analysis techniques including diffusion tensor imaging tractography, dynamic causal modeling, graph theory, and machine learning approaches. She maintains active collaborations with Queensland Institute of Medical Research (Brisbane), Neuroscience Research Australia (Sydney), and the Centre for Healthy Brain Ageing (Sydney). Analysis of Dr. Roberts' publication record (94 journal articles, 2 book chapters, 25 conference papers) reveals a consistent research trajectory focused on neurocognitive patterns in bipolar disorder. Her recent work increasingly incorporates machine learning techniques to identify predictive biomarkers, with a growing emphasis on longitudinal studies tracking high-risk populations. The interdisciplinary nature of her research bridges neuroscience, psychiatry, and computational methods to address fundamental questions about mood disorder development. Scientific Contributions: Extensive publication record across multiple formats (journal articles, book chapters, conference presentations) Development of innovative neuroimaging analysis techniques for bipolar disorder research Establishment of multi-institutional collaborations across Australia Integration of machine learning approaches with traditional neuroimaging methods Dr. Roberts actively mentors junior researchers and contributes to the broader scientific community through peer review activities and participation in research networks focused on mood disorders. Her work has significant implications for early intervention strategies and the development of novel therapeutic approaches for bipolar disorder.

• Mild Traumatic Brain Injury
• Neuropsychology
• Cognitive Dysfunction
• +۳ مورد دیگر

Susanne Meares is an Honorary Senior Lecturer at the School of Psychological Sciences, Macquarie University. Her research focuses on neuropsychology, mild traumatic brain injury (TBI), postconcussion syndrome, and cognitive dysfunction. She leads projects such as 'Neuropsychology/mild traumatic brain injury' and 'Developing a program of research in mild traumatic brain injury and postconcussion syndrome.' Her work spans clinical psychology, trauma research, and hoarding behavior. Recent studies include examining attention inhibition in hoarding disorders and cognitive reserve in aging populations. She has published extensively since 1986, with over 45 research outputs. Key collaborations involve neuroimaging studies (e.g., diffusion tensor imaging in sport-related concussion) and systematic reviews. Her projects emphasize translational research to improve clinical outcomes in TBI management and neuropsychological assessment.

• Neuroscience
• Stem Cell Therapy
• Parkinson's Disease
• +۳ مورد دیگر

Professor Lachlan Thompson is a leading academic in neurogenesis and neural transplantation, affiliated with the School of Medical Sciences. His work focuses on advancing stem cell therapies for neurodegenerative diseases like Parkinson’s, particularly through engineered neural grafts and hydrogel-based delivery systems. He leads research on optimizing stem cell differentiation, immune evasion, and functional integration within host neural circuits. Current research students include Laura Ancellotti and Alex Johnson. Key grants include a 2024 NHMRC Ideas Grant for improving Parkinson’s cell therapies and 2023 startup funding for establishing his research programs. His lab collaborates with the Charles Perkins Centre, focusing on translational neuroregenerative strategies. Research interests span stem cell engineering, neural circuit reconstruction, and disease modeling using patient-derived iPSCs. Recent work emphasizes hydrogel oxygen reservoirs, suicide gene activation in grafts, and developmental timing of neural progenitors. Over 80 publications detail advancements in neural transplantation safety, gene therapy approaches, and rodent models of neurological disorders. Awards and recognitions are not explicitly mentioned, though his high-impact publications and NHMRC grants highlight his academic standing. His lab integrates biomaterials science, genetic engineering, and clinical translation to address unmet needs in neurodegenerative therapies.

• Psychophysiology
• Social Cognition
• Traumatic Brain Injury
• +۳ مورد دیگر

Dr. Jacqueline Rushby is a Conjoint Senior Lecturer at the School of Psychology, University of New South Wales. Her position involves part-time academic engagement in psychophysiological research and neuropsychological rehabilitation. Her research investigates disorders of social cognition and emotional processing in clinical populations, with emphasis on traumatic brain injury (TBI), autism spectrum disorder (ASD), and frontotemporal dementia. Key methodologies include EEG/ERP analysis, transcranial direct current stimulation (tDCS), and autonomic arousal measurement to explore neural correlates of empathy deficits and emotion regulation. Recent publications demonstrate a consistent focus on neurorehabilitation mechanisms, with frequent examination of tDCS efficacy, emotion recognition impairments, and autonomic dysregulation in TBI populations. Studies increasingly integrate multimodal physiological measures (e.g., HRV biofeedback, facial EMG) with neurocognitive assessments. No scientific awards or prizes are documented in the provided materials. Information regarding student advising, research grants, laboratory affiliations, or team collaborations is unavailable in the source text.

Joung Ohمشاهده پروفایل

دانشیار

• Rock Mechanics
• Tunnelling Support Systems
• Numerical Modelling
• +۵ مورد دیگر

Associate Professor Joung Oh is affiliated with the School of Minerals and Energy Resources Engineering at the University of New South Wales (UNSW), where he teaches and conducts research in mining geomechanics , tunnelling , and rock mechanics for caving mechanisms . His expertise spans rock joint behavior, ground-structure interaction, and numerical modelling, with prior industry experience at Parsons Brinckerhoff in New York. PhD in Civil Engineering (Geotechnical) from University of Illinois at Urbana-Champaign Research focuses on borehole breakout analysis , hydromechanical coupling , and machine learning applications in stress estimation . Recent work includes nonlinear flow in rock fractures , shotcrete bonding mechanisms , and ground support systems in burst-prone areas . Publications emphasize numerical methods , rock anisotropy , and seismic event cascades in mining contexts. Scientific contributions include 15+ recent articles on topics like granite microcrack characterization , seismicity during hydraulic fracturing , and multiscale stress estimation . These works integrate acoustic emission tomography , UDEC-GBM simulations , and artificial neural networks for geotechnical analysis. Professional service involves editorial roles at International Journal of Mining Science and Technology and memberships in societies like the Society of Mining Professors and Australasian Tunnelling Society . Grants from ACARP funded projects on shotcrete effectiveness and horizontal stress estimation in coal mines.

• Sleep Disorders
• Dementia
• Neuroscience
• +۳ مورد دیگر

Aaron Lam is an early career researcher affiliated with the Brain and Mind Centre at the University of Sydney. His work focuses on the interplay between sleep patterns (including sleep disorders like obstructive sleep apnoea) and dementia progression. Lam holds a Researcher academic rank within the Faculty of Science. Affiliations: Brain and Mind Centre, University of Sydney Research Themes: Sleep architecture, hippocampal neurodegeneration, modifiable dementia risk factors His research combines neuroimaging techniques with clinical assessment tools to explore how sleep disturbances influence memory and cognition in aging populations. Notable grants include two BMC Emerging Researcher Awards (2023 & 2025). Lam collaborates with multidisciplinary teams investigating both basic science and translational applications of sleep neuroscience. His publications span topics including sleep-dependent memory consolidation mechanisms, hypoxemia effects on hippocampal structures, and innovative use of mobile health technologies for sleep assessment in older adults. Current work emphasizes developing clinical protocols to identify at-risk populations through objective sleep measures.

• Machine Learning
• Cybersecurity
• Internet of Things (IoT)
• +۳ مورد دیگر

Firas Al-Doghman is a Lecturer at the School of Computer Science, University of Technology Sydney. With expertise in Machine Learning, Cybersecurity, and Internet of Things (IoT), he teaches subjects like iOS Applications, Networking, and Data Engineering while conducting research on smart algorithms and their cybersecurity applications. PhD in Computer Engineering and Data Management (UTS, 2020) Teaching since 2017 at UTS Former Associate Researcher/Lecturer at UNSW ADFA Research focuses on: Machine Learning integration with cybersecurity Blockchain applications in real estate Edge computing security frameworks Consensus-based data aggregation Publications highlight advancements in: Cybersecurity for supply chains Fractional NFTs in property ownership Carbon credit price prediction models Secure microservices orchestration Key collaborations include researchers from UNSW and industry partners.

• Data Science
• Machine Learning
• Tensor Factorization
• +۵ مورد دیگر

Dr Thiru Balasubramaniam is a Research Fellow at Queensland University of Technology (QUT), working within the Faculty of Science, School of Computer Science. His expertise lies at the intersection of data science, machine learning, and real-world applications, with a specific focus on tensor factorization methods for managing multifaceted data from IoT and Web 3.0 applications. His educational background includes a PhD from Queensland University of Technology and a Bachelor of Engineering from Anna University. Prior to his doctoral studies, he worked as a Research Assistant at the Singapore University of Technology and Design - Massachusetts Institute of Technology (SUTD-MIT) International Design Centre, where he analyzed mobility data to personalize city environments for elderly citizens in Singapore. Dr Balasubramaniam's research interests span multiple areas of data science: Tensor and Matrix Factorization methods Pattern Mining and Text Mining applications Recommender Systems development IoT data processing Web 3.0 applications Real-time analytics for multifaceted data His publication record demonstrates consistent contributions to high-impact venues including IEEE TKDE, ACM TKDD, WWW, WISE, AusDM, and PRICAI. The trend in his recent work shows increasing application of tensor factorization techniques to diverse real-world problems including environmental monitoring, pandemic modeling, social media analysis, and smart grid technology. His research often involves interdisciplinary collaborations, particularly with Professor Richi Nayak at QUT. Scientific recognition includes: QUT-CDS first byte research funding worth 30,000 AUD Dr Balasubramaniam has been actively involved in teaching data analytics subjects at QUT since 2017, including Data Exploration and Mining, Data and Web Analytics, Data Mining Technology and Applications, and Web Computing. His teaching spans both undergraduate and postgraduate levels. His research has been supported through various collaborative grants and institutional funding mechanisms at QUT.

• Artificial Intelligence
• Computer Vision
• Data Science
• +۴ مورد دیگر

Dr. Hongda Tian is a Senior Lecturer at the University of Technology Sydney's Data Science Institute within the Faculty of Engineering and Information Technology. With a strong background in AI and data science, he focuses on translating research into practical solutions for real-world problems across multiple sectors including water, transport, energy, and retail. BSc and MEn from Beijing University of Posts and Telecommunications (2006, 2009) PhD from University of Wollongong, Australia (2015) Postdoctoral Fellow with DATA61 | CSIRO Computer Vision Scientist with Kandao Australia Pty Ltd Associate Research Fellow with University of Wollongong Dr. Tian's research spans artificial intelligence, computer vision, data science, and machine learning with a focus on practical applications. His work combines theoretical advancements with industry implementation, particularly in environmental sustainability, water management, and infrastructure monitoring. He excels at transforming real-world issues into data science problems and developing appropriate solutions that demonstrate industrial applicability to stakeholders. His publication record shows a clear trend toward applying AI to critical infrastructure and environmental challenges, with recent work focusing on water quality prediction, electricity price forecasting, carbon intensity modeling, and bushfire smoke detection. These publications appear in top journals including International Journal of Computer Vision, IEEE Transactions on Image Processing, and IEEE Transactions on Multimedia. 2025 The Australian Financial Review AI Awards (Sustainability category) 2024 NSW iAwards Winner for Sustainability & Environmental Solution 2024 NSW Merit iAwards for Government & Public Sector Solution 2024 Distilling Research Impact 2023 NSW Merit iAwards for Sustainability & Environmental Solution Chinese Government Award for Outstanding Self-financed Students Abroad Dr. Tian has secured approximately $1.07 million in external research funding as Chief Investigator since 2020 and has led or delivered over 15 research innovation projects with government and industry partners. His projects span multiple sectors including water (Dynamic Prediction of Raw Water Quality, Water Quality Prediction for Drinking Water Delivery Systems), transport (Structural Health Monitoring for Sydney Harbor Bridge, Computer Vision-Based Track Defect Detection), energy (Electrical Network-Related Incidents Prediction), and retail (Woolworths Endcap Compliance). He serves on thesis examination committees and as an editorial board member and reviewer for over 20 peer-reviewed journals and conferences.

Michael O'Sullivanمشاهده پروفایل

استاد

• Neuroscience
• Neurobiology
• Cognitive Neuroscience
• +۷ مورد دیگر

Professor Michael O'Sullivan is an Honorary Professor and Professorial Research Fellow at the Institute for Molecular Bioscience (IMB), University of Queensland. His research focuses on the neurobiology of brain injury, resilience mechanisms, and recovery, particularly in stroke and traumatic brain injury. He leads projects integrating advanced imaging techniques (MRI, PET) with clinical biomarkers to identify therapeutic targets and assess disease progression. Research Interests: Neuroimaging (MRI, PET, tractography) of brain structure/function Cognitive neuroscience of memory and executive control Neuroinflammation and glial cell roles in injury recovery Stroke recovery mechanisms and post-stroke depression Key Contributions: His group pioneered in vivo imaging approaches to map brain network dynamics post-injury and developed biomarkers for neuroinflammation. Recent work explores astrocyte regulation of glutamate and neuroprotective strategies. Awards & Recognition: While no awards are explicitly listed, his leadership in NHMRC-funded initiatives and STROKOG collaborations highlights his impact in vascular cognitive research. Collaborations: NHMRC Centre for Research Excellence in vascular mechanisms of cognitive impairment International Stroke Recovery and Rehabilitation Roundtable Future Work: Focus on translational research linking molecular mechanisms (e.g., innate immunity) to clinical outcomes, with ongoing studies on CADASIL cohorts and sports-related brain injury.

Hongxu Chenمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Data Mining
• Recommender Systems
• +۳ مورد دیگر

Dr. Hongxu Chen serves as an Honorary Research Fellow at the University of Queensland's School of Electrical Engineering and Computer Science. His research focuses on machine learning, data mining, and network analysis, particularly in the context of recommendation systems and graph-based models. He has contributed to advancements in graph neural networks, network representation learning, and social network analysis through collaborative projects with international researchers. Dr. Chen's work spans theoretical and applied domains, including social-boosted recommendation systems, graph convolutional networks for centrality analysis, and scalable tensor factorization models. His publications address challenges in link prediction, user behavior modeling, and mobility demand forecasting using graph-based and probabilistic approaches. While no formal awards are listed, his contributions reflect significant engagement with high-impact conferences like NeurIPS, ICDE, and KDD. No advising or grant details are provided in the text. His research activities are centered within the School of Electrical Engineering and Computer Science, though specific lab affiliations are not mentioned.

Ganesh R. Naikمشاهده پروفایل

استاد مدعو

• Biomedical Engineering
• Signal Processing
• Data Science
• +۹ مورد دیگر

Ganesh R. Naik is an Adjunct Professor at the College of Medicine and Public Health, Flinders University, and a Full Member of the Flinders Health and Medical Research Institute. He is ranked in the top 2% of researchers worldwide in Biomedical Engineering (Stanford University). His expertise lies in biomedical signal processing, algorithm design, and health technologies, with significant contributions to sleep research and global disease burden studies. PhD in Electronics Engineering (Biomedical Engineering, Data Science, Signal Processing), RMIT University, 2009 Dr. Naik's research focuses on advanced signal processing techniques such as independent component analysis, blind source separation, and machine learning applications in biomedical data. His work spans areas including electromyography, sleep disorders, and large-scale epidemiological modeling through the Global Burden of Disease (GBD) Study. The recent publications highlight a strong interdisciplinary trend, combining biomedical engineering with public health and artificial intelligence. Key themes include sleep apnea and diabetes, neurological disorders like epilepsy and Parkinson’s, wearable sensors, and AI-driven cybersecurity. His editorial leadership in journals like IEEE Access and Frontiers in Neurorobotics underscores his influence in the academic community. Scientific Awards and Honors: Bridge and BridgeTech Industry Fellowship (2023) Chancellor’s Postdoctoral Research Fellowship, UTS (2013–2016) ISSI Overseas Fellowship, Skills Victoria (2010) IEEE Victoria Travel Scholarship (2008) Baden-Württemberg PhD Scholarship, Germany (2006–2007) Dr. Naik has supervised numerous research students and led major projects, including a multimillion-dollar CRC project on sleep at Western Sydney University. He has edited 12 books and authored over 150 peer-reviewed publications, cited over 5,000 times. His current research involves wearable technologies, digital twins for health, and AI-based predictive models for chronic diseases. He is actively involved in editorial roles and international collaborations, contributing to advancements in biomedical engineering and public health policy. His lab work emphasizes real-world applications of signal processing in clinical and community settings.

Nan Yeمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Statistics
• Optimization
• +۴ مورد دیگر

Dr. Nan Ye is a Senior Lecturer in Statistics and Data Science at the University of Queensland's School of Mathematics and Physics. His research focuses on machine learning, statistics, and optimization, with contributions to sequential decision making, weakly supervised learning, and probabilistic graphical models. He holds a PhD in Computer Science from the National University of Singapore (NUS) and double first-class honors in Computer Science and Applied Mathematics from NUS. Previously, he held postdoctoral positions at QUT, UC Berkeley, and NUS. Dr. Ye teaches advanced courses such as STAT3007/7007 Deep Learning, covering topics from foundational machine learning to state-of-the-art deep learning architectures and applications. His work has been published in top venues like NeurIPS, ICML, and UAI, earning awards including the IJCAI-JAIR Best Paper Prize (2022) and UAI Best Student Paper Award (2014). His research interests span theoretical and applied machine learning, including reinforcement learning, optimization algorithms, and their applications in fields like healthcare and environmental science. He actively supervises students in these areas and collaborates on interdisciplinary projects. Dr. Ye's academic profile includes extensive contributions to open-source tools and educational materials, reflecting his commitment to advancing both research and pedagogy in data science.

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.

Karen Barlowمشاهده پروفایل

استاد

• Paediatric Neurology
• Traumatic Brain Injury
• Concussion
• +۶ مورد دیگر

Professor Karen Barlow is a Conjoint Chair in Paediatric Rehabilitation and Affiliate Associate Professor at the School of Biomedical Sciences , University of Queensland , leading the KidStim Lab . She is an academic paediatric neurologist and clinical researcher specializing in acquired brain injury in children and adolescents, with expertise in traumatic brain injury , concussion , and non-invasive brain stimulation therapies. Studied at University of Edinburgh (Bachelor of Medicine) and University of Queensland (PhD in Neurosciences) Her research focuses on neurobiological signatures of mild TBI and post-concussion syndrome , integrating multimodal neurological assessments such as ASL-fMRI and transcranial magnetic stimulation . She has pioneered non-invasive neuromodulation facilities like the KidStim Lab, exploring therapies including rTMS , tDCS , and melatonin for sleep disturbances post-injury. Recent publications highlight advances in metabolomics for severe TBI , brain connectivity in attention deficits , and international consensus guidelines for pediatric concussion . Her work emphasizes clinical trials for novel therapies and health service evaluation in Queensland . Professor Barlow supervises PhD students and leads multidisciplinary teams across Alberta Children's Hospital , Child Health Research Centre , and Queensland Cerebral Palsy Rehabilitation Centres . She has secured significant grants from National Injury Insurance Agency , Murdoch Children's Research Institute , and Motor Accident Insurance Commission .