Dr. Oren Griffiths is a Senior Lecturer in Clinical Psychology and Clinic Director at the School of Psychological Sciences , University of Newcastle. With prior positions at Flinders University (2018-2022) and postdoctoral research at UNSW Sydney (2010-2017). PhD and Master of Psychology (Clinical) from University of New South Wales His research focuses on neurocognitive mechanisms of attention and learning , particularly: Interaction between learning and attention in neural processing Augmented/Virtual Reality applications for military and technical operations Sensory processing disruptions in schizophrenia and related disorders His work employs EEG , gaze-tracking, and behavioral measures to investigate these phenomena. The 15 most recent publications show increasing focus on: Inner speech quantification through neural oscillations Sensory attenuation mechanisms Attentional biases in schizophrenia Augmented reality impact on visual search Associative learning theory Cognitive consequences of outcome predictability Scientific awards include grants from: Breakthrough Foundation (2022) DSTO (2020, 2019) ARC Discovery schemes (2019, 2015) Active in research supervision with current projects examining: Neuropsychological assessment innovations Inattentional blindness in operational environments Previously supervised topics include: Delusion formation mechanisms Developmental dyslexia research Augmented reality effects on cognition
Professor Jason Mattingley is a Professorial Research Fellow at the University of Queensland , affiliated with the Queensland Brain Institute and the School of Psychology . He is also an NHMRC Leadership Fellow and contributes to multidisciplinary research centers such as the Centre for Perception and Cognitive Neuroscience . B.Sc. (Hons), Monash University M.Sc. (Clinical Neuropsychology), University of Melbourne PhD in Psychology, Monash University His research focuses on selective attention , predictive coding , and perceptual decision-making in healthy individuals and those with neurological conditions (e.g., stroke, ADHD). He employs neuroimaging (EEG, fMRI), brain stimulation (TMS, tDCS), and cognitive training to explore these mechanisms. Recent publications highlight work on neural oscillations , prediction error processing , and reproducibility standards in cognitive neuroscience. He leads grants from the ARC Discovery Projects and NHMRC Investigator Grants , and supervises numerous PhD students in cognitive and clinical neuroscience. Scientific awards include the Australian Laureate Fellowship (2012), Distinguished Contribution to Psychological Science Award (2012), and Monash Distinguished Alumni Award (2016). He is a Fellow of the Academy of Social Sciences in Australia and the Association for Psychological Science . His lab investigates visual attention , neural plasticity , and brain-computer interfaces , with applications in neurological rehabilitation and educational neuroscience . Current supervision includes projects on predictive coding , gamma stimulation , and working memory precision .
Dr. Quanying Liu serves as Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology (SUSTech), where she leads the Neural Computing and Control Laboratory (NCC lab) as Principal Investigator and Doctoral Supervisor. Her academic journey includes a PhD from ETH Zurich in Biomedical Engineering, postdoctoral training at Caltech, and research positions at Huntington Medical Research Institute, KU Leuven, and Oxford University. PhD in Biomedical Engineering, ETH Zurich (2013-2017) Master in Computer Science, Lanzhou University (2010-2013) Bachelor in Electrical Engineering, Lanzhou University (2006-2010) Dr. Liu's research bridges neuroscience, machine learning, and control theory with focus on multi-modal neural signal processing (EEG, sEEG, fMRI, DTI), explainable AI for brain interpretation, and optimization frameworks for neuromodulation (tES, TMS). Her work develops high-density EEG source imaging algorithms, data-driven brain network modeling, and control-theoretic approaches for neural stimulation. The NCC lab specializes in machine learning algorithms, neural computation, multimodal data fusion, network control theory, and bidirectional brain-computer interfaces. Analysis of her recent publications reveals strong trends in EEG-based visual decoding, multimodal neural embeddings, and AI-driven brain network modeling. Her work increasingly integrates generative models for neural data synthesis, control theory for precise neuromodulation, and cross-modal approaches connecting neural signals with cognitive functions. The New Brain 30 (2023) AAIC travel award (2019) Estes Stars Award (2018) Shenzhen Peacock Talent Plan C Dr. Liu actively mentors students through SUSTech's doctoral program and leads multiple significant research initiatives including a National Natural Science Foundation Youth Project, a National Key R&D Program in Bio-Information Fusion, and several Shenzhen municipal projects. Her lab receives funding from Guangdong Provincial Basic Research Fund, Shenzhen Science and Technology Innovation Commission, and international fellowships including Boswell Postdoctoral Fellowship and Swiss National Science Foundation grants. The NCC lab maintains strong international collaborations with Caltech, ETH Zurich, and Oxford University while developing novel platforms like WheelCon for sensorimotor control studies. The Neural Computing and Control Laboratory operates as an interdisciplinary hub integrating computational neuroscience, machine learning, and control engineering. The lab develops specialized hardware-software systems for closed-loop neurostimulation, maintains the EEGdenoiseNET benchmark dataset, and pioneers methods like MOVEA for transcranial electrical stimulation optimization. Current research directions include generative models for neural decoding, network control theory applications, and AI-human cognitive interaction frameworks.
Scientia Professor Fred Westbrook is a distinguished researcher at the School of Psychology, University of New South Wales (UNSW), Sydney. His work focuses on behavioral and neural investigations of elementary learning processes, with particular emphasis on fear conditioning, memory formation, and the neural substrates underlying these phenomena. Professor Westbrook's research spans multiple domains within behavioral neuroscience and psychology. His primary interests include: Fear conditioning and extinction mechanisms Neural substrates of learning and memory Pavlovian and second-order conditioning processes Role of the amygdala in emotional learning Effects of diet and metabolic factors on cognitive function Memory consolidation and reconsolidation processes Analysis of Professor Westbrook's recent publications reveals a strong focus on understanding the neural mechanisms of fear conditioning, particularly the role of the basolateral amygdala complex in processing fear memories. His work frequently examines how prediction errors, context, and time influence memory consolidation and organization. More recently, his research has expanded to investigate how dietary factors and metabolic conditions affect cognitive function and neural processes, demonstrating the interdisciplinary nature of his work that bridges neuroscience, psychology, and nutrition. Professor Westbrook has maintained a prolific publication record spanning several decades, with consistent contributions to leading journals in neuroscience and psychology. His collaborative approach is evident through his extensive co-authorship network, particularly with researchers like Nicole Holmes, Richard Morris, and others at UNSW and internationally.
Professor Thomas Whitford is a distinguished researcher and academic in the School of Psychology at the University of New South Wales (UNSW), where he has been a faculty member since 2012. His work bridges neuroscience, psychiatry, and cognitive psychology with a focus on understanding the neural mechanisms underlying schizophrenia and psychosis. Whitford completed his PhD at the University of Sydney in 2007, followed by postdoctoral research at Harvard University (2008-2010) and the University of Melbourne (2010-2011). His research program has evolved to become one of the most comprehensive investigations into the neural basis of inner speech and sensory processing abnormalities in schizophrenia. His research interests center on using electroencephalography (EEG) and neuroimaging techniques to explore the neural basis of inner speech production, sensory attenuation, and their relationship to schizophrenia. Whitford's work has particularly focused on corollary discharge mechanisms, white matter abnormalities, and the neurophysiological underpinnings of auditory hallucinations. His approach combines sophisticated electrophysiological methods with clinical insights to bridge the gap between basic neuroscience and psychiatric disorders. Analysis of his recent publications (2023-2025) reveals a consistent trajectory of increasingly sophisticated investigations into the neural mechanisms of inner speech and sensory processing. His work has expanded from basic electrophysiological investigations to large-scale collaborative studies like the Accelerating Medicines Partnership Schizophrenia Program. A notable trend is the integration of multiple methodologies (EEG, TMS-EEG, neuroimaging) to examine predictive coding deficits in schizophrenia, with particular attention to how these deficits manifest in inner speech and sensory attenuation processes. NHMRC Early Career Fellowship (CJ Martin, 2008) NHMRC Career Development Fellowship (2014) Young-Tall Poppy Science Award from the Australian Institute of Policy and Science (2014) Professor Whitford has been instrumental in establishing UNSW as a leading center for schizophrenia research in Australia. His laboratory has contributed significantly to the understanding of the neural basis of psychosis through numerous publications and collaborations with international research groups. His work has increasingly focused on translating basic neuroscience findings into clinical applications, as evidenced by his recent work on virtual reality and neurofeedback interventions for auditory verbal hallucinations. While specific grant details aren't fully enumerated in the provided text, his sustained research output suggests substantial ongoing funding support for his investigations into the neural mechanisms of schizophrenia.
Pengyao Ping is an NHMRC grant-funded researcher and bioinformatician at the Adelaide Medical School, University of Adelaide. His research integrates clinical, genetic, and proteomic datasets using machine learning to investigate complex diseases. Current projects leverage UK Biobank and All of Us Research Program data to study pharmacological treatment responses. Education: Background in bioinformatics, data analytics, and computer science. Research Focus: Develops statistical frameworks for large-scale biomedical datasets. Recent publications show strong emphasis on genomic data processing, viral host interactions, and computational vaccine design. Collaborations: Works extensively with epidemiologists and psychiatrists. Utilizes high-performance computing for genomic analyses. Future Work: Expanding research on AI-driven drug response prediction and multi-omics integration.
Tingting Bi is a Lecturer in the School of Computing and Information Systems at the University of Melbourne, equivalent to an Assistant Professor in the U.S. academic system. She concurrently holds an adjunct position at the University of Western Australia's School of Physics, Maths and Computing. Her research focuses on software architecture for AI-based systems, LLM applications in knowledge engineering, and responsible AI development. Bi earned her PhD from Monash University under Prof. John Grundy, and previously worked as a Research Scientist at CSIRO's Data61. She actively contributes to top-tier conferences such as ICSE and journals like TSE, serving on program committees. Her research interests span knowledge-based engineering, vulnerability detection in smart contracts, and decentralized intelligence systems. Notable awards include Distinguished Reviewer recognitions (2023-2024) and teaching excellence awards.
Prof. Daniel Shaddock is a Professor in Physics at the Australian National University (ANU) and leads Australia’s participation in the GRACE Follow-on mission to map Earth’s gravity. He previously served as a Director’s Fellow at NASA’s Jet Propulsion Laboratory, contributing to the Laser Interferometer Space Antenna (LISA) mission and the Advanced LIGO project, which detected gravitational waves. As Founder and CEO of Liquid Instruments, he develops high-end test and measurement tools. His research focuses on precision laser interferometry, gravitational wave detection, and space-based instrumentation. His academic contributions include advancing interferometer control systems for LISA, suppressing frequency noise in gravitational wave detectors, and developing optical phase tracking techniques. He collaborates on projects such as the ARC Centre of Excellence for Engineered Quantum Systems and the Neutron Star Extreme Matter Observatory (NEMO). His work bridges fundamental physics with applied technologies, including quantum communication and adaptive optics for space debris tracking. Key projects include the Coherent LiDAR for self-driving vehicles, Space-Based Quantum Communications with UNSW, and a Guidestar Laser for adaptive optics. His research has produced over 300 publications, emphasizing gravitational astrophysics, laser metrology, and space instrumentation. He holds patents in FPGA-based instrumentation and optical phased arrays.
Associate Professor Cao Hung Pham is a faculty member at the School of Civil Engineering, University of Sydney, specializing in Structural Engineering. His research focuses on the behavior and design of thin-walled structures, particularly cold-formed steel and aluminium alloys, with emphasis on stability, shear performance, and connection mechanics. Education: BE MConstMgt MEngSc PhD Research Interests: His work explores fundamental and applied aspects of structural systems, including buckling phenomena in thin-walled members under combined loading, development of Direct Strength Method (DSM) design approaches, experimental characterization of high-strength materials, and innovation in fastener technologies for lightweight construction. Research integrates laboratory testing, computational modeling, and theoretical analysis to advance design standards. Publication Trends: Recent articles (2021-2023) demonstrate strong focus on shear design innovations in perforated cold-formed steel sections, performance optimization of power-actuated fasteners, buckling behavior of aluminium alloy beams, and methodological improvements in structural testing. Work frequently combines experimental validation with analytical/numerical solutions to develop practical design guidelines. Advising and Projects: Actively supervises PhD candidates researching: Cold-formed steel members with web holes under shear AI-assisted welding quality control Screwed connections in floor systems DSM enhancements for localized loading Serviceability of cold-formed steel floors Laboratories and Teams: Member of the Structures Research Group and Materials and Structures research theme, focusing on experimental mechanics and advanced structural systems at the University of Sydney's civil engineering facilities.
Nathan Beu is a cognitive neuroscientist and experimental psychologist at the University of Adelaide's School of Psychology within the Faculty of Health and Medical Sciences. He conducts research at the intersection of cognitive neuroscience, neurogenetics, and clinical applications, with particular focus on Parkinson's disease, traumatic brain injuries, and cognitive aging. His work spans multiple laboratories including the Cognitive Neural Sciences Lab and the Cognition, Ageing, and Neurodegenerative Disease laboratory. Dr. Beu's research interests encompass the neurobiological substrate of higher-order cognition, intelligence, and motor control, with special emphasis on neurogenetics and frontal cortico-basal ganglia pathways. He employs a model-based systems neuroscience approach that integrates individual differences methods, computational modeling, genotyping, EEG, neuroimaging, neurostimulation techniques, and behavioral testing. His work has four broad themes: (1) psychonomics and psychometrics of individual differences in intelligence; (2) philosophical foundations of experimental cognitive science; (3) interventions to enhance cognitive and motor functions; and (4) formal models of pathology for improved medical diagnostics. His publication record demonstrates significant contributions to understanding response inhibition, cognitive control, and evidence accumulation models. Recent work has focused on neural correlates of cognitive decline, genetic markers of executive function, and computational approaches to decision-making. His research employs decomposition models to capture distinct cognitive, neural, and motor processes involved in decisions and responses, mapping these onto imaging and genetic information to improve early detection of cognitive decline. Dr. Beu is deeply committed to open science practices, sharing research code and data, preregistering studies, and supporting replication efforts. His work emphasizes justice, equity, and diversity in both education and scientific research, aiming to create a more transparent and reliable scientific community. He collaborates with researchers including Dr. Irina Baetu, Prof. Nicholas Burns, and others in the Cognitive Neural Sciences Lab, investigating how learning from experiences guides choices and how cognitive control abilities change during aging and in Parkinson's disease. Their work focuses on discovering genetic variations that may help preserve cognitive abilities and inform new treatments for cognitive decline.
Anina Rich is a Professor at Macquarie University's School of Psychological Sciences and an ARC Future Fellow. She is affiliated with the Performance and Expertise Research Centre and the Perception in Action Research Centre. Her research focuses on sensory processing, particularly selective attention mechanisms and multisensory integration, including synaesthesia studies. She has received numerous awards, including being a finalist in the Australian Museum Eureka Prizes (2001, 2002) and the Australian Postgraduate Award (2001-2004). Her work combines psychophysics, neuroimaging, and cognitive neuroscience to explore attention dynamics and synaesthesia. Research Interests: - Selective attention: Balancing voluntary and involuntary attention, applied in medical imaging contexts, sustained attention, and neural underpinnings. - Multisensory integration: Investigating synaesthesia (e.g., mirror-touch, grapheme-color), exploring how sensory modalities interact. - Neuroimaging techniques: Using fMRI and MEG to study brain regions involved in attention and perception. Awards: 2001-2004 Australian Postgraduate Award 2004 Cognitive Neuroscience Society Graduate Student Award 2005 Australian Psychological Society Excellent PhD Thesis Award Multiple media engagements on synaesthesia and perception Grants/Projects: Dealing with Distraction: Understanding Recovery After Interruption (2024-2028) Improving Inferences from Brain Imaging to Understand Selective Attention (ongoing) Magnetic Resonance-Compatible Audio-Visual Stimulus Delivery System (2014-) Labs/Teams: Active member of the Perception in Action Research Centre and collaborator in the Centre for Elite Performance Expertise and Training (CEPET).
Dr. Tatjana Seizova-Cajic is a Senior Lecturer at the University of Sydney, holding academic positions across the School of Psychology (2002–2006), Faculty of Health Sciences (2007–2019), and currently the Faculty of Medicine and Health (since 2020). Her research focuses on human perception, particularly touch, proprioception, and vision, employing psychophysical methods combined with neuroimaging. She has co-supervised PhD theses on tactile motion aftereffects and sensory localization, and a master's project on haptic communication systems for deafblind individuals. Education: BPsych (Belgrade), MSc in Perception Science (Belgrade), PhD in Psychology (UNSW, 2003). Postdoctoral work at UNSW (2007). Research interests include tactile motion perception, artificial numb spot phenomena, and the illusion of self-touch. Key themes are neurosciences/mental health and musculoskeletal health. Current projects explore spatial perception plasticity, sensory filling-in mechanisms, and neural correlates of self-touch illusions. Awards include the Australian Postgraduate Award (APA), Honourable Mention at EuroHaptics 2014, and Outstanding Reviewer at WorldHaptics 2020. She teaches quantitative research methods (undergraduate/postgraduate) and honors modules. Grants include a $10,000 award for the course OLET5402 and a 2016 bridging grant for sensory filling-in studies. Labs and collaborations involve the Touch, Proprioception, and Vision Lab. Potential collaborations seek EEG/fMRI neuroimaging partnerships to study perceptual state transitions (e.g., self vs. other touch).
Professor Nicolas Menicucci is a Professor of Theoretical Physics at RMIT University's School of Science, located at the City Campus in Australia. His research focuses on quantum information theory, quantum computation, quantum optics, and relativistic quantum information, with affiliations to the QuRMIT Theory Lab and as a Chief Investigator in the Centre for Quantum Computation and Communication Technology (CQC2T). Education: PhD in Theoretical Physics from Princeton University (2008), BS in Physics from the University of New Mexico (2002). Positions: Held roles at Perimeter Institute for Theoretical Physics (2008–2011), University of Sydney (2011–2015), and RMIT since 2015, where he became a Professor in 2022. His research interests span quantum computing architectures, quantum error correction, and foundational aspects of quantum mechanics. Notable contributions include pioneering work on continuous-variable cluster states for optical quantum computing and exploring relativistic effects in quantum information. He has published over 150 articles and secured prestigious awards like the 2012 ARC DECRA and the 2015 RMIT Vice-Chancellor’s Senior Research Fellowship. Recent projects include developing fault-tolerant quantum computing protocols, studying entanglement harvesting in relativistic settings, and advancing quantum sensing techniques. His work bridges theoretical insights with experimental feasibility, emphasizing scalable quantum technologies. Key Awards: 2015 Vice-Chancellor Senior Research Fellowship 2012 Australian Research Council DECRA Advising and Grants: Supervises research on topics like machine learning-based quantum control and photonic quantum computation. Manages projects on quantum systems identification, error correction, and hybrid quantum processors. He leads the QuRMIT Theory Lab and collaborates internationally on quantum technologies. His work aligns with UN Sustainable Development Goals 4 (Quality Education) and 9 (Industry, Innovation, and Infrastructure).
Associate Professor Jacqui Romero is an expert in experimental quantum information science at the University of Queensland (UQ), leading the Qudits@UQ research group. She holds a PhD from the University of Glasgow and has held prestigious fellowships including the ARC DECRA (2016) and Westpac Research Fellowship (2019). Her research focuses on high-dimensional quantum systems (qudits), exploring their applications in quantum technologies such as communication, computation, and error correction. She is affiliated with the ARC Centre of Excellence for Engineered Quantum Systems (EQUS) and teaches quantum technologies at UQ. Education: Bachelor of Applied Physics (magna cum laude), University of the Philippines Diliman Master of Science in Physics, University of the Philippines Diliman Doctor of Philosophy, University of Glasgow Research Interests: Dr. Romero’s work emphasizes generating and characterizing high-dimensional quantum states, designing quantum devices via inverse optimization, and testing indefinite causal order phenomena. Her team explores quantum error correction, quantum imaging, and the advantages of high-dimensional entanglement in robust quantum communication. Awards: L’Oréal-UNESCO For Women In Science Award (2017) Ruby Payne-Scott Medal (2018) L’Oréal-UNESCO International Rising Talent Award (2019) Grants & Funding: ARC Training Centre in Current and Emergent Quantum Technologies UQ Major Equipment Grant for a multimode optical waveguide facility Labs & Teams: Qudits@UQ, a dedicated experimental group advancing quantum technologies through photonics-based high-dimensional systems research.
