جستجوی استاد راهنمای دانشگاهی

Lim Lam Ghaiمشاهده پروفایل

مدرس

• Neuroimaging
• Functional Near-Infrared Spectroscopy (fNIRS)
• Brain-Computer Interface
• +۳ مورد دیگر

Dr. Lim Lam Ghai is a Lecturer at the School of Engineering, Monash University Malaysia. He holds a PhD in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS (2022), along with a Master of Science (2017) and Bachelor of Engineering (2014) from the same institution. His research focuses on non-invasive neuroimaging (fNIRS) for mental health applications and AI-driven precision agriculture. He teaches Engineering Numerical Analysis and Applied Artificial Intelligence. Research Interests: Dr. Lim’s work bridges neuroimaging and AI, with projects on fNIRS for neurological diagnostics and AI in crop management. His contributions include enhancing fNIRS clinical applicability and developing autonomous agricultural systems. Collaborations span neuroscience, engineering, and sustainable development. Awards: He has received multiple accolades, including the IEEE SPS Malaysia Best PhD Thesis Award (2022), IChemE Training & Development Award (2022), and the International Illnovasi Competition prize (2022). Grants & Projects: He leads a project (2023–2026) on cognitive load estimation using deep learning. His work aligns with UN SDGs, particularly in health and sustainable agriculture. Active in peer review for journals like Biological Psychology and Frontiers in Human Neuroscience . Labs/Teams: Engaged in interdisciplinary research teams focused on neuroimaging technology and smart agriculture solutions.

• Biomedical Engineering
• Neuroscience
• Neuroprosthetics
• +۴ مورد دیگر

Dr. Orsolya Kekesi is a Postdoctoral Research Fellow at The University of Sydney's School of Biomedical Engineering. Her work focuses on neuroprosthetics, neuronal tissue preservation, and astrocyte-neuron interactions. She advises one current PhD student, Asma IQBAL, on a project involving cochlear implants and MRI visualization. Dr. Kekesi's research integrates electrophysiological techniques with computational modeling to address challenges in neural interface devices and neurodegenerative diseases. Her research interests span biomedical engineering, neuroscience, neuroprosthetics, and cellular neuroscience. Notable projects include developing prolonged brain slice incubation methods and studying astrocytic modulation of potassium dynamics. She has collaborated on studies involving facial nerve paralysis models and visual prosthetics. Recent publications (2020-2025) highlight advancements in neuroprosthetic design, neuromodulation techniques, and in vivo electrophysiology. A 2024 grant supports machine learning applications for heart-brain disease classification. Her work contributes to improving neuroprosthetic efficacy and understanding glial-neuronal communication in health and disease. Labs/Teams: Active member of the School of Biomedical Engineering's neuroengineering group, collaborating with Prof. Gregg Suaning and Dr. Yoram Buskila on neural interface technologies.

Ghasem Azemiمشاهده پروفایل

پژوهشگر

• Biomedical Signal Processing
• Neuroimaging
• Brain Function Analysis
• +۵ مورد دیگر

Ghasem Azemi is a Researcher with dual affiliations at Macquarie University: as a Research Associate at the Computational NeuroSurgery Lab in the School of Medicine and as an Honorary Associate Professor in the School of Psychology. He holds a PhD in signal processing from Queensland University of Technology (QUT) and was previously an Associate Professor at Razi University, Iran, and a Research Fellow at The University of Queensland's Centre for Clinical Research. His work bridges biomedical signal processing, neuroimaging, and brain function analysis, with a focus on applications in oncology and neurological disorders. Education: PhD in Signal Processing, Queensland University of Technology (QUT) Associate Professor (prior position), Razi University, Iran Research Fellowship at The University of Queensland Research Interests: Azemi's research spans neuroimaging techniques (e.g., MRI, PET, EEG), computational models for tumor diagnosis, and AI-driven medical image analysis. His projects include developing algorithms for automated segmentation of paranasal sinus scans, predicting tumor fluorescence via deep learning, and radiomic analysis of brain tumors. He also explores functional connectivity in newborn EEG and phase synchrony in neurological signals. Collaborations: He leads the Computational NeuroSurgery Lab and collaborates on initiatives like the Quantum Magnetoencephalography (MEG) scanner development. His work integrates interdisciplinary approaches to advance neurosurgical and oncological diagnostics. Grants & Projects: "Critical Tech Challenge: Quantum MEG Scanner Design" (2025) "Computational Neurosurgery Lab" (ongoing since 2019)

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.

• Addiction
• Cognitive Neuropsychology
• Mental Health
• +۱۱ مورد دیگر

Grace Wang is an Associate Professor at the School of Psychology and Wellbeing, University of Southern Queensland. She holds a PhD in Psychology from the University of Auckland and has conducted interdisciplinary research at the intersection of addiction, mental health, cognitive neuroscience, and computational modeling. Her work integrates neuropsychological methods, EEG, and machine learning to explore the neurobiological mechanisms of addictive behaviors and stress-related conditions. BA(Psych), University of Auckland (2008) MSc, University of Auckland (2009) PhD, University of Auckland (2021) Her research focuses on substance use disorders, mental health, and the application of spiking neural networks and deep learning for EEG analysis. She has extensively studied the cognitive impacts of methamphetamine, e-cigarettes, and mindfulness interventions, while also examining cultural perspectives in chronic pain and traditional Chinese medicine. Recent publications highlight her expertise in neuroimaging, psychoneuroimmunology, and digital addiction. She serves as Associate Editor for the Journal of Ethnicity in Substance Abuse and on the Editorial Board of BMC Psychiatry.

• Biomedical Engineering
• Complex Medical Engineering
• Networked Systems
• +۱۴ مورد دیگر

Dr. Shahab Abdulla serves as an Associate Professor at the University of Southern Queensland within the College of English Language, specializing in pathway programs for international students transitioning to tertiary education. His academic role bridges mathematics, engineering, and language preparation through foundational courses including Linear Systems and Control, Mathematical Methods, and General Science. His academic qualifications include: BSc from University of Technology, Baghdad MSc from University of Technology, Baghdad PhD from University of Southern Queensland Dr. Abdulla's research spans Biomedical Engineering , Complex Medical Systems , and Networked Control , with pioneering work in Deep Learning for environmental forecasting and medical diagnostics. His AI research encompasses Neural Networks, Reinforcement Learning, and graph-based models applied to climate impact assessment and resource management, reflecting a commitment to solving interdisciplinary global challenges through computational innovation. Analysis of his 15 most recent publications reveals consistent application of decomposition techniques (wavelet, Fourier, curvelet) integrated with deep learning architectures across domains including ocean energy forecasting, medical imaging, and social network analysis. This demonstrates a methodological signature of combining signal processing with AI to extract patterns from complex temporal and spatial data. Though specific awards aren't detailed, his leadership is evidenced by chairing IEEE conferences and international committee service. He has supervised over 14 higher-degree research students while leading the Advanced Data Analytics Modelling Research Simulation Group, generating 55+ Q1 journal publications with 1000+ recent citations and 30+ global seminars. The Advanced Data Analytics Modelling Research Simulation Group under his direction develops AI-driven solutions for environmental monitoring, medical diagnostics, and engineering systems, maintaining active collaborations across the Middle East, US, Japan, Europe, China, and Canada.

Lei Gaoمشاهده پروفایل

پژوهشگر

• Complex Systems Modelling
• Sustainability Assessment
• Adaptive Management
• +۶ مورد دیگر

Dr. Lei Gao is a Principal Research Scientist at CSIRO Land and Water with over 20 years of expertise in complex environmental systems research. A nationally and internationally recognized thought leader, he pioneers methods in sustainability modelling and AI-driven environmental predictions while collaborating with institutions like Oxford University, IIASA, and the Chinese Academy of Sciences to address land and water management challenges. His research centers on complex systems modelling, sustainability assessment, adaptive management under uncertainty, and machine learning applications for environmental systems. He specializes in translating these methodologies into practical solutions for water resources, land systems, and socio-economic analysis, with a focus on robust decision-making under climate extremes and global change. Recent publications reveal a dominant trend integrating artificial intelligence with environmental modelling, particularly in water flow prediction, soil carbon sequestration, and climate impact assessment. His work increasingly addresses systemic sustainability challenges through scenario analysis, trade-off assessments, and SDG-focused frameworks, demonstrating strong interdisciplinary convergence. Dr. Gao's scientific accolades include: Cell Press China Paper of the Year Award (Sustainability Category) CSIRO Chairman’s Medal for Science Excellence Julius Career Award for exceptional early to mid-career scientists MVIPIT Best Paper Award Impactful Publication Award Publons Peer Review Award — Top reviewers for CSIRO Multiple Best Paper Awards and Research Excellence recognitions As Project Leader for the CAS-CSIRO Joint Project on agricultural climate adaptation, CSIRO Strategic Project on AI-based water banking, and Australia-China Science Fund on soil carbon sequestration, he demonstrates exceptional grant leadership in securing competitive funding for high-impact environmental research. Based at CSIRO Land and Water, Dr. Gao operates within a dynamic international research ecosystem, leveraging cross-program collaborations and partnerships with global institutions to develop innovative sustainability solutions for complex environmental challenges.

David M W Powersمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Science
• Robotics
• +۴ مورد دیگر

Professor David M W Powers is a leading academic at Flinders University of South Australia, holding the Professor of Computer and Cognitive Science position. He serves as Visiting Professor at Beijing University of Technology and contributes extensively to editorial and program committees, including as Editor-in-Chief of Springer's Cognitive Science and Technology series. PhD in Computational Psycholinguistics (UNSW) Founding President of ACL SIGNLL and CoNLL conference series Recipient of 15+ major research grants including multiple ARC and NSF awards His research spans Artificial Intelligence, Cognitive Science, Robotics, and Biomedical Engineering with a focus on: Embodied Conversational Agents Brain-Computer Interfaces Parallel Logic Programming Evaluation Metrics in Machine Learning Assistive Technologies for disability support AI in Health and Education Recent publications emphasize optimization algorithms for autonomous systems (AUV routing models) and evaluation methodology advancements . Scientific awards include the Loebner Prize Bronze Medal and multiple ARC grants totaling over $30M in funding. Teaching roles include coordination of courses in Artificial Intelligence, Computational Intelligence, and Human-Computer Interaction . Professional engagements span leadership roles in ACL, ACM, and IEEE, with significant industry collaboration through startups like YourAmigo Pty Ltd.

• Biomedical and bioinspired engineering
• Optical/Infrared/mm-Wave/T-ray vision systems
• Game theory and information theory
• +۸ مورد دیگر

Professor Derek Abbott is a faculty member in the School of Electrical and Mechanical Engineering at the University of Adelaide, within the Faculty of Sciences, Engineering and Technology. He holds the academic rank of Professor and is actively involved in supervising Masters and PhD students. His research interests span a wide range of interdisciplinary fields, including biomedical engineering, optical systems, game theory, quantum mechanics, stochastic phenomena, computational neuroscience, and forensic engineering. Professor Abbott has also contributed to energy systems optimization and space-based sensor technology. His recent work includes studies on neural network robustness, gravitational redshift measurement, and cardiovascular disease prediction using machine learning. His research often bridges theoretical concepts with practical applications in engineering and healthcare. Key research areas include the development of terahertz technology, bio-inspired engineering systems, and quantum game theory frameworks. He has published extensively on topics ranging from deep learning security to renewable energy grid optimization. His interdisciplinary approach integrates principles from physics, mathematics, and computer science to address complex real-world problems. Professor Abbott is eligible to supervise postgraduate research students and collaborates internationally on projects related to forensic genealogy, platonism in science, and energy storage solutions. His work often emphasizes the intersection of technology and societal challenges, such as climate change and healthcare innovation.

• Speech Processing
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Professor Xiang Zhang serves as President and Vice-Chancellor of The University of Hong Kong , combining academic leadership with active research in speech processing and machine learning. His work bridges theoretical and applied advancements in speech enhancement, depression detection, and multilingual speech recognition. Speech Enhancement : Comparative studies on long-context networks and selective state space models Acoustic Representation : Feature codecs, landmark extraction, and frame-rate analysis Mental Health Applications : Depression detection using large language models and speech timing Code-Switching Recognition : Interactive language biasing and alignment techniques Interdisciplinary Research : Unidirectional brain-computer interfaces and quantum language models Recent publications highlight trends in transformer alternatives like Mamba architectures, self-supervised learning for speech tasks, and efficient diffusion-based audio processing. His work spans technical reporting, open-source dataset development, and pedagogical innovations in computational linguistics.

Kok Chiang Liangمشاهده پروفایل

مدرس

• ASIC Design
• Power Management Unit
• Robotics
• +۲ مورد دیگر

Dr. Kok Chiang Liang is a Lecturer and Program Coordinator for Electrical and Electronic Engineering at the School of Engineering , part of the College of Engineering, Science and Environment at Newcastle Australia Institute of Higher Education (NAIHE). He previously worked at DSO National Laboratories and SUSS, receiving multiple awards including the Design Innovation Award and Teaching Excellence Gold Awards . He holds a PhD and BEng (Honours) from Nanyang Technological University (NTU). Education PhD, Electrical & Electronic Engineering, NTU (2014) BEng (Honours), Electrical & Electronic Engineering, NTU As a researcher, Dr. Kok focuses on ASIC design for power management , robotics , artificial intelligence , and energy harvesting applications . His work bridges IoT and sustainable engineering, with over 50 publications in Q1/Q2 journals and conferences. Notably, he has pioneered innovations in medical device design, urban sustainability, and educational technology. His recent articles highlight trends in sustainable electronics and AI integration across domains. He has received significant recognition, including two Best Paper Awards and substantial research seed funding (over S$260,000). Dr. Kok also contributes to community service as a District Councillor and Grassroots Volunteer in Singapore, and serves on the STEM Industrial Advisory Board and IEEE committees . Scientific Awards Design Innovation Award (Individual), DSO National Laboratories (2018) Teaching Excellence Gold Award, SUSS (2020, 2025) Best Paper Award, 3rd ICESA (2021) Best Paper Award, 6th ICPEE (2024) Dr. Kok’s leadership extends to research grants as Principal Investigator and Co-PI, and to policy advisory roles for Singapore’s Ministry of Education. His interdisciplinary approach combines technical innovation with societal impact, reflected in his roles at People’s Action Party Meet-the-People Sessions and Ang Mo Kio Town Council .

• Decision making
• Cognitive processes
• Mathematical psychology
• +۷ مورد دیگر

Dr. Guy Hawkins is an Associate Professor in the School of Psychological Sciences at the University of Newcastle, Australia. His research focuses on developing and testing computational and mathematical models of cognitive processes, with a primary interest in decision-making. His work spans from low-level speeded perceptual decisions through to high-level cognition, including statistical reasoning and consumer preferences. Dr. Hawkins earned his PhD in 2013 and his Bachelor of Psychology (Honours 1) in 2008, both at the University of Newcastle. Prior to his current position, he held postdoctoral research positions at the University of Amsterdam's Brain and Cognition Center (2014-2016) and UNSW Sydney (2013-2014). In 2017, he was awarded an Australian Research Council Discovery Early Career Researcher Award (DECRA). His research examines the decision mechanisms and strategies that people use to select consumer products and service options. A key finding is that people make fewer reasoning errors when information is presented as counts ('8 out of 10') rather than probabilities ('80%'). This has practical applications in healthcare, where physicians could describe prognoses using counts to help patients make better-informed treatment choices. His work also investigates how people update their decision caution relative to time constraints and option quality. Dr. Hawkins' recent publications reveal a strong focus on evidence accumulation models, decision-making under time pressure, and the relationship between cognitive processes and neural activity. His research often employs computational modeling approaches to understand the psychological processes underlying decision behavior. 2024 John Keats Early Career Award, Society for Mathematical Psychology 2020 William K. Estes Early Career Award, Society for Mathematical Psychology 2018 Fellow of the Psychonomic Society 2017 Australian Research Council Discovery Early Career Researcher Award 2017 Vice-Chancellor's Award for Early Career Research and Innovation Excellence, University of Newcastle 2013 Clifford T. Morgan Best Article Award, Psychonomic Society Dr. Hawkins collaborates extensively with researchers across the globe, including at universities in Australia, USA, Canada, UK, The Netherlands, and Norway. He is part of the Newcastle Cognition Laboratory and the Functional Neuroimaging Laboratory. His current research projects include investigating cognitive neuroscience frameworks for attentional control, evaluating human-machine interfaces in vehicles, and studying perceptual inference anomalies in schizophrenia.

Robert Bootsمشاهده پروفایل

دانشیار

• Critical Care Medicine
• Circadian Rhythm Dysfunction
• Virtual Reality Therapy
• +۵ مورد دیگر

Associate Professor Robert Boots is a senior academic at The University of Queensland, affiliated with the Department of Thoracic Medicine at the Royal Brisbane and Women's Hospital (RBWH) and the Burns, Trauma and Critical Care Research Centre. He holds clinical roles as a Thoracic/Sleep Physician at RBWH and an intensivist at Bundaberg Base Hospital. Previously, he served as Deputy Director of ICU at RBWH for two decades and holds leadership positions in critical care education, including with the College of Intensive Care Medicine. Education: Bachelor of Medicine Surgery (Honours), The University of Queensland Master's (Coursework), University of Newcastle Doctor of Philosophy, University of Newcastle Fellow, Royal Australasian College of Physicians Research Focus: His work centers on circadian rhythm disruptions in critical illness recovery, virtual reality applications for patient therapy, and ICU innovations. Key projects include inhaled heparin for pneumonia prevention, telemedicine effectiveness, and sepsis rehabilitation. Collaborations with engineering teams explore AI-driven clinical decision support using multi-source data analytics. Publication Trends: Recent articles (2021–2025) emphasize ICU outcomes, circadian biology, and technology-driven interventions. Themes include predictive analytics for mortality/arrhythmias, virtual reality in oncology, microplastics contamination in diagnostics, and AI in evidence-based medicine. Multi-disciplinary approaches bridge critical care, data science, and engineering. Advising & Grants: Actively supervises postgraduate students in critical care research. Secured past funding for projects like inhaled heparin trials and telemedicine assessments. Current projects include optimizing ICU telemedicine at Bundaberg Base Hospital. Labs & Teams: Member of the Burns, Trauma and Critical Care Research Centre, fostering collaborations across engineering and clinical disciplines for innovations in ICU care.

• Neurological Disorders
• Psychological Injury
• Rehabilitation Studies
• +۴ مورد دیگر

Professor Ashley Craig is a Professor of Rehabilitation Studies (Psychosocial Health) at the University of Sydney's School of Health Sciences. His academic career includes roles as Professor of Behavioural Sciences at the University of Technology Sydney (1999–2007) and leadership positions in research ethics and administration. He specializes in psychosocial aspects of spinal cord injury (SCI), neurological disorders, and assistive technologies like the Mind Switch. His work focuses on psychological adjustment, chronic pain management, and cognitive-behavioral interventions. Craig has authored over 180 publications, including books such as *Adversity after the Crash* (2019) and *Guide for Health Professionals on the Psychosocial Care of Adults with Spinal Cord Injury* (2014). He has secured over $6M in research grants and graduated 20+ postgraduate students. Research Interests: Craig's research integrates neuroscience and clinical psychology to address SCI-related challenges. Key areas include brain wave activity changes post-SCI, efficacy of cognitive-behavioral therapy, and EEG-based assistive technologies. His work on the Mind Switch, a hands-free brain-computer interface, has advanced disability technology. He also investigates post-traumatic stress and pain management in motor vehicle crash survivors. Publications Trends: Recent articles emphasize neurorehabilitation strategies, psychological resilience, and systemic reviews of interventions for SCI patients. His work bridges clinical practice and innovation, with studies on neurofeedback for chronic pain and autonomic regulation therapies. Awards: Honorary Doctorate (SWU, 2002), Editor-in-Chief (Elsevier Journal, 2007–2011) Grants: Over $6M from ARC; $3M+ from NSW Government and Motor Accident Authority (MAA) Key Projects: StoPain Trial (EEG neurofeedback for neuropathic pain), Aus-InSCI community survey (quality of life metrics) Lab/Teams: Leads the John Walsh Centre for Rehabilitation Research and collaborates with interdisciplinary teams on spinal cord injury rehabilitation and assistive technology development.

• Neuropsychophysiology
• Spinal Cord Injury Rehabilitation
• Psychological Morbidity
• +۳ مورد دیگر

Dr. Yvonne Tran is a Senior Research Fellow at the University of Sydney's Sydney School of Health Sciences, Department of Medical Imaging Sciences. Her work focuses on neuropsychophysiological challenges in spinal cord injury, mental health outcomes post-trauma, and EEG-based technologies for assistive devices. She holds a PhD in Biomedical Science (2001) and has contributed to over 150 peer-reviewed publications. Education: Bachelor of Science in Biomedical Science (Hons), University of Technology Sydney (1997) PhD in Biomedical Science, University of Sydney (2001) Research Interests: Her research spans neuropsychophysiology, spinal cord injury rehabilitation, driver fatigue monitoring, and mental health outcomes. She explores brain activity changes linked to fatigue using EEG, develops assistive technologies for disabled populations, and investigates psychological adjustment models post-injury. Publications Overview: Recent work includes studies on mindfulness interventions for spinal cord injury survivors, EEG-based driver fatigue classification, and longitudinal hearing loss studies. Her research often combines clinical data with advanced signal processing techniques. Grants & Collaborations: Collaborates with multidisciplinary teams across medicine, engineering, and psychology. Active in large-scale studies like the International Spinal Cord Injury Community Survey and the Hearing impairment in Adults: A Longitudinal Outcomes Study (HALOS). Labs/Teams: Participates in neurorehabilitation research groups and assistive technology development initiatives at the University of Sydney's Faculty of Medicine and Health.