جست‌وجوی استاد و پژوهشگر

• Quantum Physics
• Quantum Computing
• Quantum Information Theory
• +۳ مورد دیگر

Professor Stephen Bartlett is a theoretical quantum physicist and Professor in the School of Physics at The University of Sydney. He leads research in quantum information theory, quantum computing, and designer quantum materials. His work spans fundamental and applied aspects, including quantum error correction and silicon-based qubit systems. As Director of Sydney Nano, he drives interdisciplinary nanotechnology initiatives. Key roles include Chief Investigator at the ARC Centre of Excellence for Engineered Quantum Systems and editorial leadership at PRX Quantum. His research focuses on advancing quantum technologies through theoretical frameworks and experimental collaborations. Notable contributions include developing error-mitigation strategies, optimizing qubit operations, and exploring topological quantum computing. Awards include Fellowships from the Australian Institute of Physics and the Royal Society of New South Wales. Recent work emphasizes high-fidelity spin qubits, quantum gate error assessment, and leveraging biased noise for robust quantum computation. Grants include partnerships with Japanese industry and UK Research and Innovation for silicon-based quantum technologies. Labs and teams: Sydney Nano Institute, ARC Centre of Excellence EQUS. Collaborations involve global institutions like UNSW, Purdue University, and the University of New Brunswick. Ongoing projects target scalable quantum systems and fault-tolerant architectures.

Aiden Priceمشاهده پروفایل

پژوهشگر

• Environmental Health
• Spatial Analysis
• Population Health
• +۴ مورد دیگر

Dr. Aiden Price is a Researcher at Queensland University of Technology (QUT), affiliated with the Faculty of Science and the School of Mathematical Sciences. He serves as a Research Associate and Project Manager for the AusEnHealth Project, focusing on environmental health strategic planning via digital twin technology. His expertise spans spatial and temporal analyses of health and environmental data, including bushfire impacts and Antarctic conservation through aesthetics. Education: B.Math (Honours Class I, 2015) and PhD (2019, QUT) in error control theory, with a focus on LDPC codes under Prof. Harry Bartlett. He has held roles as a Research Engineer (AOS Group), Statistics Consultant (DNRME Queensland), and Lecturer at QUT in statistics and machine learning. Research Interests: Spatial epidemiology, Bayesian statistics, environmental health modeling, and applications of machine learning in public health. His work addresses issues like modifiable areal unit problems in disease mapping and spatial heterogeneity in health outcomes. Publications: Over 15 peer-reviewed articles in journals such as PLoS ONE, Scientific Reports, and the International Statistical Review. Key topics include spatial vulnerability indices, breast cancer disparities, and crowdsourcing ecological data. Grants & Advising: Supervised Wala Areed’s thesis on spatio-temporal health modeling. Engaged in interdisciplinary projects like the AusEnHealth digital twin for national health planning. Active in the ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS). Labs/Teams: Centre for Data Science, AusEnHealth Project team, and collaborations with organizations like DNRME and AOS Group.

Elise Payzanمشاهده پروفایل

استاد

• Neurofinance
• Behavioral Finance
• Experimental Economics
• +۳ مورد دیگر

Professor Elise Payzan is a leading academic in neurofinance and behavioral economics at the University of New South Wales Business School, where she holds a position in the School of Banking and Finance. Her research bridges finance, neuroscience, and experimental economics to investigate how humans perceive and react to financial risks through theoretical and experimental methodologies. Her educational background includes a PhD in Finance from the Swiss Finance Institute at École Polytechnique Fédérale de Lausanne, with prior studies at the London School of Economics and Princeton University. She holds a diploma as Engineer Statistician from ENSAE Paris and graduated from École Normale Supérieure de la rue d'Ulm, Paris. She joined UNSW Business School in September 2010 and served as a visiting associate at the California Institute of Technology from 2010-2013. Payzan's research program focuses on the neurobiological foundations of financial decision-making, examining phenomena like 'outlier blindness' where humans neglect extreme risks due to neural coding constraints. Her work integrates decision neuroscience, experimental economics, and financial economics to reveal how cognitive mechanisms shape market behaviors. Current investigations explore craving mechanisms for monetary rewards, ambient sound effects on risk perception, and neural adaptations to extreme risk events. Her publication trends demonstrate consistent interdisciplinary innovation, with recent work (2022-2024) increasingly connecting laboratory findings to field data in financial markets. Key themes include neural representations of uncertainty, risk perception distortions after extreme events, and neuroscientific approaches to generating investment alpha. Her research methodology combines controlled laboratory experiments with real-world market analysis. Payzan actively engages with public audiences through TEDxSydney (2016) and BX2018 Conference presentations, with media features in ABC TV and financial publications. She teaches Behavioral Finance (FINS3655) and supervises research in neurofinance. Her UNSW Scientia Research Grant (A$170,000, 2017-2024) supports ongoing investigations into human risk perception mechanisms.

• Wireless Communications
• IoT
• Machine Learning
• +۷ مورد دیگر

Professor Yonghui Li is a faculty member at the University of Sydney, holding the position of Professor and Director of the Wireless Engineering Laboratory within the School of Electrical and Information Engineering. His research focuses on cutting-edge areas such as wireless communications, IoT, 5G/6G networks, machine learning, and signal processing. He has authored over 400 publications, including a book on full-duplex communications, and secured over $8 million in competitive research funding. Notably, he was awarded the Australian Research Council (ARC) Future Fellowship (2012) and IEEE Fellow (2015). Education: PhD in Telecommunications (2002) Roles: Editor for IEEE Transactions on Communications, Specialty Chief Editor of Frontiers Signal Processing Journal Key Projects: Multi-gigabit mm-wave cellular networks, machine learning for wireless spectrum management, 5G ultra-reliable low-latency systems His research has led to high-impact outcomes, including ISI high-cited papers and ESI Web of Science recognition. He also pioneered the IoT undergraduate program at the University of Sydney. Awards: IEEE Best Paper Awards (ICC 2014, PIMRC 2017), ARC Fellowships Grants: $500M national 'Smart Grid Smart City' project participation Current projects explore 3D beamforming, non-orthogonal multiple access, and physical-layer security in 5G systems. His work bridges theory and practice, with prototypes developed for mm-wave networks and AI-driven spectrum management.

Li-Ann Leowمشاهده پروفایل

پژوهشگر ارشد

• Motor Learning
• Sensorimotor Adaptation
• Neuroscience
• +۱۲ مورد دیگر

Dr. Li-Ann Leow is a Research Fellow at the Centre for Sensorimotor Performance , affiliated with the School of Psychology in the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland . She holds a PhD in Motor Learning and Parkinson's Disease from the University of Western Australia, and has held postdoctoral positions at the Brain and Mind Institute (Western University) and the University of Queensland. Research Interests : Mechanisms of sensorimotor adaptation Dopamine's role in motor learning Neurostimulation techniques (tDCS) Rhythm perception and movement disorders Implicit vs explicit learning processes Motor rehabilitation in stroke and Parkinson's Article Trends show focus on neural plasticity , auditory-motor integration , and dopaminergic modulation of motor skills. Her 2025 works highlight error-driven memory consolidation and auditory cueing effects . She explores how brain stimulation reliability affects procedural learning and decision-making in both healthy and clinical populations. Scientific Awards : Honorary Fellow, School of Psychology, University of Queensland Advisory Activities : Available for supervision in motor learning and reward-based movement research Completed supervision of projects on stroke rehabilitation and implicit motor learning

Qing-Long Hanمشاهده پروفایل

استاد

• Control Theory
• Control Engineering
• Networked Control Systems
• +۱۲ مورد دیگر

Professor Qing-Long Han is Pro Vice-Chancellor (Research Quality) and Distinguished Professor at Swinburne University of Technology, Australia. He has previously held academic and leadership roles at Griffith University and Central Queensland University. He is a globally recognized expert in control theory and engineering, particularly in networked and time-delay systems. Pro Vice-Chancellor (Research Quality), Swinburne University of Technology Distinguished Professor, Swinburne University of Technology Editor-in-Chief, IEEE/CAA Journal of Automatica Sinica President-Elect, Asian Control Association His research interests span Control Engineering, Networked Control Systems, Multi-Agent Systems, Smart Grids, Unmanned Surface Vehicles, Neural Networks, and Secure Control . He is deeply involved in resilient and secure control under cyber threats, optimization, and industrial metaverse applications. His work integrates control theory with AI, IoT, and industrial automation. The recent publications highlight a strong trend toward secure, resilient, and distributed control in cyber-physical systems, particularly under attacks (replay, falsification), communication constraints, and delays. There is a clear focus on real-world applications in autonomous vehicles, trains, drilling systems, and chiller networks, using advanced methods such as reinforcement learning, event-triggering, and neurodynamic optimization. Award highlights include: IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (2024) Norbert Wiener Award (2021) M. A. Sargent Medal (2021) IEEE Andrew P. Sage Best Paper Award (2019, 2020, 2022) Highly Cited Researcher (Clarivate, multiple years) Professor Han actively supervises PhD students in cutting-edge control topics and leads major research grants from the Australian Research Council and National Natural Science Foundation of China. He is a Fellow of IEEE, IFAC, Engineers Australia (Honorary), and the Chinese Association of Automation. He also contributes to editorial leadership in top journals and professional societies. He is associated with research teams and editorial boards in control systems, automation, and intelligent systems, fostering international collaboration and innovation in engineering.

Tom Staceمشاهده پروفایل

استاد

• Quantum Error Correction
• Quantum Devices
• Condensed Matter Physics
• +۵ مورد دیگر

Professor Tom Stace is a Professor in the School of Mathematics and Physics at the University of Queensland and serves as Deputy Director of the ARC Centre of Excellence for Engineered Quantum Systems (EQUS). His research focuses on quantum error correction, quantum device physics, and precision quantum sensing, with applications in building practical quantum technologies. Professor Stace completed his PhD at the Cavendish Laboratory, University of Cambridge, UK, on quantum computing. He conducted postdoctoral research at the Department of Applied Mathematics and Theoretical Physics at Cambridge and Queens' College, Cambridge. Since 2006, he has held various ARC research fellowships, most recently an ARC Future Fellowship (2015-2019). Professor Stace's research spans two primary areas: Quantum Error Correction and Quantum Devices . In quantum error correction, his group develops theoretical frameworks including topological codes, holographic codes, and foliated codes to enable large-scale quantum computers. In quantum devices, his research focuses on solid-state and atomic systems for qubits, circulators, microwave systems, and quantum sensors. His work has significant implications for quantum computing, precision metrology, and quantum sensing applications. Analysis of Professor Stace's recent publications reveals a strong focus on practical implementations of quantum error correction codes, particularly tensor network approaches, and the development of superconducting devices including circulators and qubits. His research bridges theoretical quantum information science with experimental quantum engineering, with increasing emphasis on machine learning applications for quantum systems and precision measurement techniques. Professor Stace has received significant recognition for his research: ARC Future Fellowship (2015-2019) Inventor on 4 provisional patents Deputy Director of ARC Centre of Excellence for Engineered Quantum Systems Professor Stace actively supervises PhD students in quantum error correction and quantum device physics. His research has been supported by multiple ARC grants including the ARC Centre of Excellence for Engineered Quantum Systems (EQuS), Cluster-State Quantum Error-Correction Based on AdS/CFT, and Quantum-Assisted Sensing. He has also secured international funding from organizations including the United States Asian Office of Aerospace Research and Development. Professor Stace leads research within the ARC Centre of Excellence for Engineered Quantum Systems (EQUS), collaborating with researchers across Australia and internationally. His group works on both theoretical frameworks for quantum error correction and practical implementations of quantum devices, particularly superconducting circuits and systems that break time-reversal symmetry for applications in quantum computing and sensing.

• Genomic Medicine
• Newborn Screening
• Inborn Errors of Metabolism
• +۵ مورد دیگر

Gladys Ho is a Senior Lecturer at the Children's Hospital Westmead Clinical School, University of Sydney, with extensive contributions to genomic medicine and pediatric genetics. Her work spans multiple clinical and research domains with a focus on translating genomic discoveries into clinical practice across various medical specialties including neurology, pulmonology, and metabolic medicine. Dr. Ho's research interests center on genomic applications in clinical settings, particularly newborn genomic screening, diagnostics of rare genetic disorders, and the implementation of genomic medicine in healthcare systems. Her work demonstrates strong interdisciplinary collaboration across medical specialties, with significant focus on inborn errors of metabolism, pediatric neurological disorders, and the clinical utility of genomic technologies. She has contributed to major national initiatives including the Australian Reproductive Genetic Carrier Screening Project (Mackenzie's Mission) and the Genomic Screening Consortium for Australian Newborns (GenSCAN). Analysis of her recent publications (2022-2025) reveals a strong emphasis on implementing genomic technologies in clinical practice, with particular attention to diagnostic accuracy, validation processes, and clinical utility across multiple medical specialties. Her work spans neurogenetics, metabolic disorders, pulmonary conditions, and cancer genetics, demonstrating the broad applicability of genomic medicine. A recurring theme is the translation of genomic discoveries into practical clinical applications, with several papers addressing implementation challenges and healthcare system integration. Dr. Ho is actively involved in significant research funding initiatives, most notably as a co-investigator on the 2022 Department of Health and Aged Care grant titled 'NEWBORN GENomicSEQuencing in screening: TherapyReadyAndInformation forLife' under the Genomics Health Futures Mission. This project represents a major national effort to incorporate genomic sequencing into newborn screening programs, with potential to transform early diagnosis and intervention for genetic conditions. Her collaborative research approach is evident across multiple clinical settings, working with interdisciplinary teams to address complex diagnostic challenges in rare diseases. Dr. Ho's work bridges laboratory research and clinical application, with particular emphasis on validating genomic findings and ensuring their appropriate clinical interpretation.

• Computer Engineering
• Field-Programmable Gate Arrays (FPGAs)
• Financial Engineering
• +۴ مورد دیگر

Professor Philip Leong is a faculty member at the University of Sydney's School of Electrical & Information Engineering, serving as Director of the Computer Engineering Laboratory. He holds a B.Sc., B.E., and Ph.D. from the University of Sydney. His academic career spans roles at institutions like the Chinese University of Hong Kong and industry collaborations with companies like ST Microelectronics and CruxML Pty Ltd. Research Interests: Leong specializes in FPGA-based solutions for high-performance computing, financial systems, medical monitoring (e.g., Parkinson's disease), and environmental forecasting. He pioneers applications in edge-based machine learning, low-latency systems, and hardware-software co-design. Key Projects : Radio Frequency Machine Learning Edge-based Training of Deep Neural Networks using FPGAs Awards : 2005 FPT Best Paper Award 2007 & 2008 FPL Outstanding Paper Awards Teaching: He instructs courses in embedded systems, computer architecture, and digital logic (e.g., ELEC3607, ELEC5741). His lab focuses on custom hardware and parallel software to address real-world challenges like financial risk modeling and climate prediction. Labs/Teams: Leads the Computer Engineering Lab, affiliated with The Net Zero Institute, Sydney Nano Institute, and the Charles Perkins Centre.

• Wireless Communications
• Digital Communication Theory
• Error Control Coding
• +۷ مورد دیگر

Branka Vucetic is a Laureate Professor and ARC Laureate Fellow at The University of Sydney's School of Electrical and Computer Engineering. She leads the Centre for IoT and Telecommunications, focusing on advancing wireless communication systems, including mmWave, URLLC, and IoT. Her research spans coding theory, multi-user detection, and networked control systems. With over 300 publications and four books, she has received prestigious awards such as the Chinese Government Friendship Award and the CSIRO Eureka Prize. She advises numerous PhD and Master’s students on topics like RIS-assisted wireless communications and AI-driven clinical decision support. Education: MSc and PhD from the University of Belgrade. Research interests include 6G technologies, reconfigurable intelligent surfaces, and mission-critical IoT applications. Her work addresses latency, reliability, and energy efficiency challenges in modern communication networks. Current roles include Director of the Centre for IoT and Telecommunications and Fellowships in multiple academies. Awards highlight her contributions to innovation and leadership in engineering and science. She collaborates on projects funded by ARC and industry partners, focusing on practical applications like smart grids and autonomous systems.

• Error Control Coding
• Information Theory
• 6G Wireless Networks
• +۴ مورد دیگر

Chentao Yue is a Research Fellow at the School of Electrical and Computer Engineering, University of Sydney. He holds a BSc in Information Engineering (Honors) from Southeast University (2017) and a PhD in Electrical Engineering from the University of Sydney (2021). His research focuses on developing foundational theories and AI-driven techniques for 6G wireless networks, specifically targeting ultra-reliable low-latency communication through advanced error control coding. Research Interests: Dr. Yue's work bridges information theory, machine learning, and telecommunications. Key areas include intelligent channel coding/decoding for 6G, sparse vector transmission, NOMA systems, and distributed consensus protocols. His DECRA-funded project aims to create self-configurable coding frameworks adaptable to dynamic 6G environments. Publication Trends: Recent articles emphasize optimizing short block-length codes for 6G URLLC, integrating Bayesian neural networks with modulation techniques, and refining ordered-statistics decoding (OSD) algorithms. Machine learning applications in signal prediction and distributed ledger technologies are emerging themes. Awards: ARC Discovery Early Career Researcher Award (DECRA, 2024) Postgraduate Scholarship in Wireless Engineering Grants: Leads the ARC DECRA project (2024): "Intelligent self-configurable coding and decoding for 6G wireless networks," focusing on real-time adaptive error correction for industrial automation and telemedicine.

• Quantum Computation
• Quantum Programming
• Formal Methods
• +۶ مورد دیگر

Professor Mingsheng Ying (University of Technology Sydney) is a Distinguished Professor specializing in quantum programming , quantum verification , and the foundations of artificial intelligence . He leads the Centre for Quantum Software and Information and co-founded the Quantum Lab . His work bridges quantum computation with formal methods and reasoning under uncertainty. Education : Mathematics, Fuzhou Teachers College (1981) Research Interests His research spans: Quantum programming languages and verification techniques Model checking quantum systems and cryptographic protocols Quantum machine learning robustness Entanglement theory and distributed quantum computation Recent Publications Key contributions include: Quantum error correction verification frameworks Quantum register machine architecture Hamiltonian simulation parallelization Symbolic execution for quantum debugging Robustness tools like VeriQR Awards & Editorial Roles NSF China Distinguished Young Scholar Award (1997) China National Science Award (2008) Co-Editor-in-Chief, ACM Transactions on Quantum Computing Vice President, International Fuzzy Systems Association (2005) Leadership & Grants He oversees 14 active grants (2010–2029) from: Australian Research Council (ARC Discovery Projects) National Natural Science Foundation of China Sydney Quantum Academy Baidu Contract Research His grants fund research in quantum program verification, entanglement classification, and distributed quantum protocols.

• Quantum Physics
• Quantum Information Theory
• Condensed Matter Physics
• +۳ مورد دیگر

Georgia Nixon is a researcher affiliated with the Department of Physics at The University of Sydney. Her work focuses on quantum science and technology, particularly in optical lattices and quantum error correction. She has contributed to advancements in tunnelling coefficient control and fractal code-based error correction strategies. Research interests include quantum systems manipulation, theoretical modeling of quantum phenomena, and developing robust frameworks for quantum information processing. Her publications reflect a deep engagement with experimental and computational approaches in quantum physics.

Tatiana Dancyمشاهده پروفایل

دانشیار

• Artificial Intelligence in Law
• Algorithmic Justice
• Blockchain Regulation
• +۲ مورد دیگر

Associate Professor Tatiana Dancy researches law-tech intersections including algorithmic justice, cryptoassets, and private law theory. She authored 'Artificial Justice' (OUP 2023) analyzing fairness beyond inequality metrics, and received the Modern Law Review Wedderburn Prize for her work on value transactions. Directs Digital Law programs and advises UK Law Commission on digital assets. Key Responsibilities: Director of Studies for Digital Law and Technological Innovation (MLM) Convenor: Law and Automation (JD), Cryptoassets (MLM), AI and Justice (MLM) Inner Temple Academic Fellow and Financial Markets Law Committee member Research Focus: Critical examination of algorithmic fairness paradigms, blockchain regulatory frameworks, and restitution theory in digital economies.

• Cognitive Neuroscience
• Decision Making
• Metacognition
• +۱۱ مورد دیگر

Dr. Dragan Rangelov is a Senior Lecturer in Psychology and Cognitive Neuroscience at the School of Health Sciences, Swinburne University of Technology. He holds a PhD in Systemic Neuroscience from Ludwig-Maximilians-Universität München and leads the Economic Brain Lab, focusing on the neural basis of risky choices and metacognition. His research integrates behavioral testing, brain imaging (EEG, MEG, MRI), and non-invasive neuromodulation (TMS, neurofeedback) to explore perception, attention, memory, and decision-making in health and disease. His educational background includes: PhD, Systemic Neurosciences, Ludwig-Maximilians-Universität München, Germany MSc, Neuro-Cognitive Psychology, Ludwig-Maximilians-Universität München, Germany BSc (Hons), Psychology, University of Belgrade, Serbia Dr. Rangelov’s research interests center on the neural and cognitive mechanisms underlying decision-making, with a focus on metacognition, perceptual processing, and working memory. He investigates how the brain adapts to environmental changes and trauma, particularly in stroke patients, and plans to extend this to anxiety, depression, and compulsive gambling. His work combines computational modeling with high-temporal-resolution neuroimaging to dissect the dynamics of evidence accumulation and attentional control. His recent publications reveal a strong trend in understanding the neural underpinnings of decision-making, with emphasis on metacognitive processes, sensory adaptation, and working memory. Key themes include the role of the centro-parietal positivity (CPP) in metacognition, parallel evidence accumulation in perceptual decisions, and white matter microstructure's influence on memory precision. His work frequently appears in top journals such as Journal of Neuroscience , PNAS , and Cerebral Cortex . Dr. Rangelov serves as an Associate Editor for: Attention, Perception, & Psychophysics Journal of Experimental Psychology: Human Perception and Performance Cortex (2024) He is actively funded by major grants, including: Australian Research Council : 'Understanding the neural dynamics of integrated perceptual decisions' (2022–2025) Australian Research Council : 'Cognitive control of attention and its role in regulating brain function' (2012–2018) Deutsche Forschungsgemeinschaft : 'Effects of task-irrelevant features over cognitive control' (2012–2017) Swinburne University : 'Monitored Minds: Neurosurveillance and Dehumanisation in the Modern Workplace' (2025–2026) He supervises Honours, Master’s, and PhD students and collaborates extensively with researchers such as Prof. Jason Mattingley. He leads the Economic Brain Lab, which investigates risky choices and metacognitive training, aiming to improve behavior and well-being in both clinical and general populations.