جست‌وجوی استاد و پژوهشگر

Alireza Ahadiمشاهده پروفایل

مدرس پاره‌وقت

• Data Science
• Machine Learning
• Educational Data Mining
• +۹ مورد دیگر

Dr Alireza Ahadi is a PartTime Lecturer at the Faculty of Engineering & Information Technology , University of Technology Sydney. He holds a PhD in Data Analytics from UTS (2018) and has previously worked as a postdoctoral researcher at Macquarie University (2019-2022) focusing on skills analytics and educational data mining. Education: PhD in Data Analytics (UTS, 2018), Master of Information Technology Extended (UTS, 2013), Bachelor in Computer Science (UTS, 2010). Current Role: Teaching IT and Science subjects at UTS with expertise in databases, programming languages, and data science. Research Interests center on data-driven educational solutions , including text mining in education, skills gap analysis between academia and job markets, code comprehension studies, and miRNA regulation in cancer research. His work integrates machine learning with curriculum analytics to improve educational outcomes and workforce alignment. Recent publications (15 most) reveal trends in applying NLP to educational data, eye-tracking analysis for programming behavior, and skills analytics engines for curriculum-job market mapping. His 2022 article on skills gap identification using Burning Glass data highlights his focus on real-world educational impact. Teaching Experience includes coordination and lecturing in core subjects like Database Fundamentals, Programming Languages, and Data Structures at UTS. He also explores educational data mining , optimization of analytics engines , and recommendation system design in pedagogical contexts.

Ingvars Birznieksمشاهده پروفایل

پژوهشگر ارشد

• Sensory physiology
• Touch perception
• Tactile sensing
• +۱۱ مورد دیگر

Professor Ingvars Birznieks is a Senior Research Fellow at the Department of Physiology, School of Medical Sciences, UNSW Medicine in Sydney, where he leads the Tactile Research Group at Neuroscience Research Australia (NeuRA). Previously, he held an academic position as Senior Lecturer (Physiology) at the School of Science and Health, Western Sydney University from 2011 to 2014. Dr. Birznieks is a sensory neurophysiologist specializing in sensory information encoding mechanisms, with research spanning tactile perception, neural coding, and bionic applications. His work integrates neuroscience, biomedical engineering, and clinical rehabilitation to understand how touch receptors encode information and how this knowledge can be applied to develop advanced prosthetics and rehabilitation technologies. His research program covers tactile receptors and sensorimotor control of the human hand, with applications in stroke rehabilitation, diabetic neuropathy, and bionic hand development. His recent publications reveal a strong focus on neural coding mechanisms in tactile perception, particularly the burst gap code for frequency perception, friction sensing mechanisms, and intensity coding. These studies consistently bridge fundamental neuroscience with practical applications in bionics and rehabilitation. His interdisciplinary approach connects neurophysiological findings with engineering solutions for artificial touch. Dr. Birznieks has secured significant grant funding, including ARC Discovery Projects and NHMRC Ideas Grants totaling over $2.5 million, supporting research on neural coding, sensorimotor control, stroke rehabilitation, and bionic technologies. His current major project 'The secret of tiny hand movements to feel and manipulate objects' (ARC DP230100048) investigates how humans use micro-movements to extract tactile information during object manipulation. He actively supervises students across neuroscience, biomedical engineering, and computer science disciplines, with recent publications featuring undergraduate and graduate students as first authors. His research group maintains collaborations with institutions in France and Sweden, providing international research opportunities for students. Dr. Birznieks' laboratory has developed unique non-invasive mechanical stimulation technology that allows precise control of neural communication at the single neuron level, enabling unprecedented investigation of how spiking activity influences perceptual experience.

Satoshi Nambuمشاهده پروفایل

مدرس

• Linguistics
• Japanese Linguistics
• Sociolinguistics
• +۱۲ مورد دیگر

Satoshi Nambu is a tenured Lecturer in Japanese Studies at Monash University, affiliated with the School of Languages, Literatures, Cultures, and Linguistics within the Faculty of Arts. He joined Monash in 2017 and currently serves as Chair of the School Equity, Diversity, and Inclusion Committee and coordinator of the Japanese Studies major. He is actively involved in research, teaching, and professional service. Monash University, Faculty of Arts (2017–present) National Institute for Japanese Language and Linguistics (NINJAL), Project Member (2022–present) Tohoku University, Language Change and Variation Unit, Member (2016–present) His research focuses on the dynamics of language variation, particularly how syntactic variation contributes to diachronic change and reflects speaker identity and ideology. He employs quantitative methods such as corpus analysis, surveys, and psycholinguistic experiments. Recent projects explore linguistic landscape in Japan and character language in fiction, linking them to real-world language ideologies through the concept of enregisterment. The most recent publications (2024–2025) show a strong trend toward interdisciplinary research combining sociolinguistics, psycholinguistics, and corpus methods. Key themes include multilingualism, language in urban spaces, neural processing of Japanese syntax, and language concerns among immigrant families. The work spans empirical studies, theoretical contributions, and policy-relevant analyses. His scientific awards include the Japan Society for the Promotion of Science Research Fellowship (2015–2017) and the Japan Foundation Research Grant (2020). Research Fellowship for Young Scientists, JSPS (2015–2017) Japan Foundation Research Grant (2020) Satoshi Nambu advises PhD students and teaches courses such as Japanese sociolinguistics, research methods, and linguistic landscape. He serves on editorial boards and professional committees, including the Japanese Studies Association of Australia and the journal The Japanese Journal of Language in Society . He leads research projects on Japanese/Korean linguistics and language variation, securing external funding and fostering international collaboration. He is a member of research teams at NINJAL and Tohoku University, contributing to large-scale projects on corpus development and multilingualism. He also participates in academic networks such as the Global Council for Anthropological Linguistics and regularly serves as a peer reviewer for journals including International Journal of Multilingualism and English Today .

Nan Sunمشاهده پروفایل

مدرس

• Cybersecurity
• Artificial Intelligence
• Data Analytics
• +۵ مورد دیگر

Nan Sun is a Lecturer at the School of Systems & Computing , University of New South Wales, Canberra , conducting interdisciplinary research at the intersection of cybersecurity and artificial intelligence. Her work focuses on data-driven cybersecurity incident prediction, cybersecurity awareness education systems, and AI applications for threat intelligence. PhD in Information Technology (Deakin University) Former Research Fellow at Deakin University's Centre for Cyber Security Research and Innovation Her research spans cybersecurity (60%), machine learning (25%), and software engineering (15%). Recent publications analyze adversarial machine learning, tropical cyclone forecasting with deep learning, and ethical AI frameworks for cyberbullying mitigation. She leads grants including the UNSW Recruitment Research Proposal Grant and CSIRO Data61 funding. Current teaching includes Big Data and Decision Analytics for Security and Digital Forensics . She offers PhD scholarships to students with high academic achievement.

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

Professor Xiaohui Tao is a distinguished academic at the University of Southern Queensland's School of Mathematics, Physics and Computing, leading the Computing Discipline Team and chairing the ICT Programs Governance Committee. He holds a PhD in Information Technology from Queensland University of Technology (2009). His research focuses on artificial intelligence, machine learning, and health informatics, with over 200 publications in top journals like IEEE TKDE and conferences such as AAAI and IJCAI. He has mentored 10 doctoral students and leads a research group developing real-world AI applications. Education: PhD in Information Technology, Queensland University of Technology, 2009 Research Interests: Dr. Tao's work spans AI-driven health informatics, machine learning algorithms, natural language processing, and privacy-preserving technologies. His projects address critical challenges like mental health monitoring, smart healthcare systems, and privacy in 5G/IoT environments. Recent advancements include federated learning for unlearning mechanisms and multimodal fusion for medical decision support. Grants & Awards: Awarded Australia Research Council grants (DP220101360), Australian Endeavour Fellowships, and multiple best paper awards at conferences like BESC’22 and WI-IAT’20. Recognized for contributions to remote patient monitoring and AI in depression treatment. Labs & Teams: Leads a research group focused on AI applications in healthcare and data science, collaborating on projects like computational social science for mental health and privacy-preserving IoT systems.

• Visual Neuroscience
• Color Vision
• Retinal Circuitry
• +۳ مورد دیگر

Professor Paul R. Martin is a faculty member at the University of Sydney within the Faculty of Medicine and Health and the Clinical Ophthalmology and Eye Health department. He received his PhD in Physiology from the University of Sydney in 1986 and completed postdoctoral work in Germany. His research focuses on visual neuroscience , particularly the structure and function of the visual system, retinal circuits, and the processing of color, form, and motion signals through evolutionary pathways. Key Research Themes: Neurosciences, Mental Health Keywords: Nervous System, Ophthalmology, Vision His work employs immunohistochemistry , microscopy , and single-cell recording to study retinal and brain pathways. He has active collaborations with institutions in the United States (University of Washington, Vanderbilt) and Hungary (University of Pécs). Grant funding includes projects on retinal mapping and neural pathways related to vision.

• Signal processing
• Audio processing
• Spatial audio
• +۷ مورد دیگر

Professor Christian Ritz serves as Director of SMART and Professor in the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong. He has held his professorship since 2017 and served as Associate Dean (Research) in 2022 and Associate Dean (International) from 2016-2021. Professor Ritz's research focuses on signal processing for speech, audio, acoustics and visual information. His current projects include microphone array signal processing for enhancing sound recorded in classrooms, sound scene classification for dementia care environments, spatial audio for Virtual and Augmented Reality, and undersea surveillance. His work spans multiple technical domains including signal processing, audio engineering, computer vision, and communications engineering. His recent publication trends show a strong focus on neural network applications for audio processing, particularly for classroom monitoring and spatial audio reproduction. His work integrates deep learning with traditional signal processing techniques to address challenges in spatial audio synthesis, room impulse response generation, and directional audio reproduction. He has also contributed to applications in mining automation, public safety surveillance, and positioning systems. Professor Ritz is a member of the Centre for Signal and Information Processing (CSIP), part of the Signals, Information and Communications Research Institute (SICOM) at the University of Wollongong. His research is funded by the ARC, overseas research institutes, and defense organizations. His grant portfolio is extensive, including projects such as AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods, Multi-Modal Satellite-based Vessel Surveillance, Net Zero Industry and Innovation Program, Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane, and numerous projects related to spatial audio and underwater surveillance. He has secured funding from diverse sources including the Australian Research Council, defense organizations, and international collaborations. Professor Ritz maintains an active research laboratory environment focused on signal and information processing. His work spans multiple application domains from classroom monitoring to underwater mine detection, with strong connections to both academic and industry partners. His research group appears to focus on practical applications of signal processing techniques to solve real-world problems across various domains.

Bruno van Swinderenمشاهده پروفایل

استاد

• Consciousness Research
• Drosophila Behavior and Cognition
• Selective Attention
• +۶ مورد دیگر

Professor Bruno van Swinderen is a Professorial Research Fellow and Group Leader at the Queensland Brain Institute, University of Queensland, within the Faculty of Health, Medicine and Behavioural Sciences. With over two decades of neuroscience research experience, he leads a laboratory focused on understanding the neural mechanisms of consciousness using Drosophila (fruit fly) as a model organism. His work bridges molecular, electrophysiological, and behavioral approaches to uncover fundamental principles of brain function related to awareness and consciousness. Professor van Swinderen received his PhD in Evolutionary and Population Biology in 1998 from Washington University in St. Louis, Missouri. His graduate work focused on general anesthesia using Caenorhabditis elegans models, applying both quantitative genetics and molecular genetic approaches. He completed his postdoctoral training at The Neurosciences Institute (NSI) in San Diego, California (1999-2003), where he switched to Drosophila melanogaster to develop methods for studying perception. He established his independent laboratory at the Queensland Brain Institute in February 2008. His research centers on understanding consciousness through three brain states where awareness is lost: selective attention, sleep, and general anesthesia. His laboratory uses Drosophila as a genetic model system to investigate visual perception across different arousal states, with particular focus on how sleep regulates selective attention and predictive processing. The lab employs novel visual paradigms within a Drosophila molecular genetics context, examining how neural circuits process information when consciousness is altered or diminished. A key insight from his work is that fundamental mechanisms of consciousness are conserved across species, challenging assumptions about the uniqueness of human consciousness. Professor van Swinderen has proposed that we dream to first become conscious as babies and then to stay conscious as adults, an adaptive hypothesis linked to predictive processing theory. His recent publications reveal increasingly sophisticated methodologies including whole-brain electrophysiology, calcium imaging, and molecular analyses that have identified specific neural mechanisms underlying sleep homeostasis, anesthesia effects, and attention processes. A notable trend is the integration of computational approaches with traditional neuroscience techniques, allowing for nuanced analysis of complex brain activity patterns. His work demonstrates that flies exhibit surprisingly complex brain functions previously thought to be exclusive to higher organisms, with implications for understanding human consciousness and developing new approaches to anesthesia and sleep disorders. Professor van Swinderen maintains an active research program with numerous collaborations, as evidenced by his extensive publication record. His laboratory continues to push methodological boundaries while maintaining focus on core questions about what makes a brain conscious, contributing significantly to our understanding of brain states where awareness is lost.

Richard Leibbrandtمشاهده پروفایل

مدرس

• Cognitive Science
• Machine Learning
• Computational Linguistics
• +۴ مورد دیگر

Dr. Richard Leibbrandt is a Lecturer at Flinders University's College of Science and Engineering, with full membership in the Medical Device Research Institute and associate membership in the Flinders Digital Health Research Centre. He holds a PhD from Flinders (2009) focused on computational models of language acquisition in children. His interdisciplinary background bridges psychology and computer science. Research Interests: Leibbrandt specializes in cognitive science, human-machine language learning, and human-centered computing systems. His work spans virtual agents, digital health applications, neural behavior modeling, and AI-driven diagnostic tools. Key domains include: Machine learning in healthcare (e.g., PCR optimization, mental health sensing) Virtual reality systems for behavioral research Social determinants of health analytics Computational neuroscience (neural coding, insect pursuit dynamics) Research Output Trends: Recent publications (2020-2025) demonstrate strong emphasis on AI/ML applications in biomedicine, including smart diagnostic devices, virtual reality behavioral platforms, and computational neuroscience. Health technology innovation is a consistent theme, with 30% of works involving clinical translation studies. Projects & Supervision: Active in ARC/NHMRC initiatives including 'From Talking Heads to Thinking Heads' and neuroimaging projects. Supervised 2 AI-focused students. Secured grants for virtual patient training systems in clinical education. Affiliations: Contributes to UN Sustainable Development Goals through digital health research. Associated labs include the Medical Device Research Institute (full member) and Flinders Digital Health Research Centre (associate member).

Huaming Chenمشاهده پروفایل

مدرس ارشد

• Software Engineering
• AI
• Cybersecurity
• +۳ مورد دیگر

Huaming Chen is a Senior Lecturer at the School of Electrical and Computer Engineering, The University of Sydney (equivalent to Associate Professor in the US system). He specializes in trustworthy AI, software security, and computational biology. His research focuses on integrating AI techniques into software engineering and scientific domains to enhance system reliability and ethical compliance. Currently, he advises PhD and master's students on projects involving AI in intelligent building systems, blockchain-driven governance frameworks, and open-source AI security. He holds roles as Area Chair for ACM MM, PC member for venues like ACM CCS and IJCAI, and Guest Editor for Computers & Security . His service extends to IEEE/ACM memberships and discipline expertise in Software Engineering and Electrical & Computer Systems. Awards include the 2020 IEEE CIS Student Grant and 2017 travel fellowships for bioinformatics and services computing conferences. Research interests span adversarial machine learning, AI ethics, computational biology applications, and secure AI system design. Key contributions include work on federated learning security, adversarial attacks on vision transformers, and privacy-aware STI/HIV risk prediction models. He actively promotes responsible AI through workshops and interdisciplinary collaborations.

Varghese Peterمشاهده پروفایل

مدرس

• Speech Perception
• Language Development
• Auditory Cognition
• +۳ مورد دیگر

Dr. Varghese Peter is a Lecturer in Psychology at the University of the Sunshine Coast's School of Health. He holds a PhD from Macquarie University and degrees from the University of Mysore in India. His research focuses on speech perception and language development in infants/children, auditory cognition, and neural oscillations in speech processing. Dr. Peter uses EEG, psychophysics, and linear neural encoding models to investigate how environmental and genetic factors influence language acquisition. He has held academic positions at Western Sydney University and Macquarie University. Education : PhD (Macquarie University), MSc (University of Mysore), BSc (University of Mysore) Affiliations : School of Health, Discipline of Psychology His research explores topics such as maternal input quality, bilingualism, and genetic risks (e.g., dyslexia) on speech development. He also studies auditory perception impairments in conditions like dyslexia and hearing loss. Dr. Peter has secured research grants including the $495,500 'Perceptual and cognitive optimisation of visual augmented reality displays' and the $20,000 'Effect of age and background noise on cortical EEG entrainment to natural conversation'. Awards : Vice Chancellors Excellence in Research Interdisciplinary Group Award (2020) Director of Research Award for Team Research (2019) Society for Neurobiology of Language Travel Award (2009) Teaching areas include Introduction to Psychology and Personality Assessment. His work bridges developmental neuroscience and clinical applications, with recent publications focusing on cortical entrainment in dyslexia and neural mechanisms of speech perception in infants.

• Signal Processing
• Acoustics
• Audio Engineering
• +۳ مورد دیگر

Amy Bastine is a Researcher at the School of Engineering within the ANU College of Systems & Society at the Australian National University. Her work focuses on advanced audio signal processing, acoustics, and machine learning applications in spatial audio environments. She is affiliated with the Information & Signal Processing cluster, emphasizing interdisciplinary research. Her research interests include room acoustic modeling, spatial audio capture using spherical microphone arrays, and developing neural network-based solutions for sound field analysis. She explores topics like active noise control, source localization in reverberant environments, and immersive audio technologies. Recent projects involve creating datasets for acoustic analysis and optimizing algorithms for real-world applications. Her publications from 2022-2025 highlight trends in physics-informed neural networks for sound field estimation, sparse representation techniques, and multi-channel ANC systems. These contributions aim to bridge theoretical acoustics with practical implementations in wearable devices and recording studios. No scientific awards or grants are explicitly listed in the provided texts. Her research has been applied to datasets like room impulse responses and spherical microphone array measurements. She collaborates on projects involving acoustic imaging, HRTF interpolation, and environmental noise mitigation strategies.

Matthew Tangمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Visual Processing
• Neural Dynamics
• +۲ مورد دیگر

Matthew Tang is a Research Fellow at the Eccles Institute of Neuroscience, Australian National University. His research focuses on understanding neural mechanisms underlying sensory processing and perception, particularly in the visual cortex. Active researcher in neural dynamics of visual processing Expertise in sensory coding and cortical function Collaborates on cross-species sensory neuroscience His work spans topics like transcranial stimulation, decision-making processes, and sensory expectation violations, with recent publications in Nature Communications and Cell Reports . Current projects investigate how predictive processing shapes visual perception across cortical hierarchies.

• Visual Perception
• Neural Processing
• Gaze Perception
• +۳ مورد دیگر

Colin Clifford is a Professor at the School of Psychology, University of New South Wales. His laboratory investigates vision, contextual effects on perception, and the neural basis of visual awareness. His academic credentials include a PhD from University College London (1994–1996), an MSc from Sussex University (1991–1992), and an MA from Pembroke College, Cambridge (1985–1989). Clifford's research explores visual perception, neural coding, gaze processing, and sensory adaptation. His work emphasizes how context modulates perception and how visual awareness links to underlying neural mechanisms, spanning topics like face perception, motion processing, and geometric illusions. His publications reveal a focus on gaze perception, facial processing, motion adaptation, and perceptual illusions. Trends include neural and behavioral studies of visual biases, contextual modulation, and ecological aspects of vision. Scientific Awards: Future Fellowship (2011–2015) for research on parallel and generative binding in human visual cortex Grants & Advising: National Health and Medical Research Council Project Grant (2012–2014): Functional anisotropies in orientation and motion processing Australian Research Council Discovery Grant (2012–2014): Gaze perception and adaptation He leads a vision research laboratory investigating neural and perceptual aspects of visual processing.

• Sensory Processing
• Neuroscience
• Traumatic Brain Injury
• +۳ مورد دیگر

Professor Ramesh Rajan is a distinguished faculty member in the Physiology Department at Monash Biomedicine Discovery Institute, Monash University. His research focuses on sensory processing in the brain and how brain disorders affect our perception of the world. He studies models of traumatic brain injury and sensory information processing, particularly examining how conditions like Huntington's Disease, Multiple Sclerosis, Autism Spectrum Disorders, and Parkinson's Disease impact speech understanding in noisy environments. Professor Rajan's research centers on understanding how our brains extract relevant information from noisy, complex environments. His work investigates the neural mechanisms underlying sensory processing deficits in various neurological conditions, with particular emphasis on speech processing in multiple sclerosis and traumatic brain injury. He explores how the brain selects what to attend to and what to suppress, and how memory and experience guide perception. His research combines neurophysiological studies with behavioral approaches to understand sensory processing at multiple levels. His recent research output demonstrates a strong focus on sensory processing in neurological disorders, particularly examining speech discrimination in multiple sclerosis and neural responses in traumatic brain injury models. His work spans from basic neurophysiology in rodent models to clinical applications in human neurological conditions, showing a consistent theme of understanding how sensory processing is altered in brain disorders. Dean's Award for Excellence in Education - Innovation in Learning and Teaching (2023) Vice-Chancellor's Excellence Award For Innovation in Learning and Teaching (2023) Professor Rajan has been actively involved in numerous research projects, particularly those funded by the NHMRC (National Health and Medical Research Council). His current active project "NHMRC 1995 Project - Irvine/Rajan" continues to investigate neural circuits. He has supervised numerous PhD students and has been accepting new PhD candidates for research on "Speech processing in altered brain conditions" and "Traumatic brain injury models and brain processing of sensory input." His laboratory work focuses on sensory processing in both healthy and injured brains, utilizing rodent models to study whisker deflection processing and cortical responses. His research team collaborates extensively with other neuroscience researchers at Monash University and beyond, particularly in the areas of traumatic brain injury and multiple sclerosis research.