جستجوی استاد راهنمای دانشگاهی

• Solar Astrophysics
• Solar Flares
• Solar Activity
• +۵ مورد دیگر

Professor Michael Wheatland is affiliated with the School of Physics at The University of Sydney , serving as Associate Dean (Education) in the Faculty of Science. He is a leading researcher in solar astrophysics , solar flares , coronal magnetic fields , and Bayesian probability , with significant contributions to computational modeling. Research Interests : Solar flares and activity Coronal magnetic field modeling Bayesian data analysis Space weather Stellar flare dynamics Recent Projects : Ensemble modeling of space-weather drivers (2023) Magnetic skeletons and solar flares (2022) Relativistic light sail propulsion (2020-2022) Grants : Australian Research Council Discovery Projects (2023, 2022, 2018, 2015, 2007, 2003, 2002, 2000) Education Innovation Grants (2019, 2017) Students : Research student: Abhinav IYER (2021)

• Transport Planning
• Traffic Modelling
• Urban Mobility
• +۴ مورد دیگر

Professor Michiel Bliemer is a Professor of Transport Planning and Modelling at the University of Sydney Business School within the Institute of Transport and Logistics Studies. He joined in 2012 as Chair in Transport Network Modelling, previously holding an Associate Professor position at Delft University of Technology and working as a consultant at Goudappel Coffeng in the Netherlands. His research focuses on transport planning, traffic modelling, road pricing, and urban mobility systems. Education: MSc from the University of Groningen (RUG) PhD from Delft University of Technology His work explores road user charging schemes , macroscopic traffic flow models , and stated choice experiments . Key contributions include the Handbook on Transport and Urban Planning in the Developed World (2016) and influential research on network design, traffic management, and mobility consumption theories. He has secured grants such as the 2022 'Fair Road Pricing Scheme' project and the 2020 Australian Transport Research Cloud initiative. Media & Outreach: Professor Bliemer frequently advises on transport infrastructure issues, including cycling infrastructure, public transport investments, and Sydney's high-density urban planning challenges. His expert commentary has appeared in SBS News, ABC News, and radio interviews addressing traffic congestion and Rozelle Interchange design flaws. Grants & Collaboration: 2022: Fair road pricing scheme research 2020: Australian Transport Research Cloud International collaborations in transport policy and simulation studies His research integrates cutting-edge methodologies like discrete choice experiments , agent-based modelling , and macroscopic fundamental diagrams , addressing both theoretical and applied challenges in modern transport systems.

• Transport Economics
• Aviation Logistics
• Airline Competition
• +۳ مورد دیگر

Xiaowen Fu is a Professor of Engineering Management in the Department of Industrial and Systems Engineering at the Hong Kong Polytechnic University, with an honorary appointment at the University of Sydney Business School. His research focuses on transport economics, including competition policy, efficiency benchmarking, and transport demand modeling. He holds a PhD from the Sauder School of Business, University of British Columbia. He serves on editorial boards for journals like Transportation Research Part B and Transport Policy, and has guest-edited five special issues. His work spans aviation logistics, airline competition, and industrial organization. Recent studies include analyzing post-pandemic aviation markets and the economic impacts of air cargo networks in China. Grants: Led a 2016 OECD project on airport governance and benchmarking. Publications: Authored/co-authored over 100+ papers and books, including a 2021 analysis of air connectivity post-COVID-19. Affiliations: Member of Sydney Southeast Asia Centre and editor for the 'Advances in Airlines Economics' book series.

• Dynamical Systems Theory
• Complex Systems Theory
• Transportation Modeling
• +۴ مورد دیگر

Thomas Stemler is an Associate Professor at the University of Western Australia (UWA), affiliated with the Department of Mathematics and Statistics within the School of Physics, Maths and Computing. He holds a PhD in Physics from Technische Universität Darmstadt (2006) and has been at UWA since 2007, initially as a postdoctoral researcher and since 2009 in a teaching and research role. His research focuses on dynamical systems theory and complex systems applications, including transport modeling, climate analysis, and ocean dynamics. He leads the Complex Systems Group and collaborates with industry and government on projects funded by ARC, offshore industries, and the Department of Infrastructure. Education: PhD in Physics (Technische Universität Darmstadt, 2006); MSc in Physics (Technische Universität Darmstadt, 2001). Research interests include traffic system modeling, nonlinear time series analysis, and uncertainty quantification. He has contributed to projects like the ARC Research Hub for Transforming Energy Infrastructure and the PATREC transport research center. His work addresses real-world challenges in transport infrastructure, environmental systems, and data-driven decision-making. Grants include funding from ARC, Main Roads WA, and iMove CRC for projects on roundabout modeling, automated vehicle impacts, and traffic incident detection. He is actively involved in PhD supervision and has published extensively on topics ranging from stochastic processes to swarm intelligence. Labs/Teams: Complex Systems Group (UWA), PATREC Transport Research Collaborative.

Alice Devillersمشاهده پروفایل

دانشیار

• Group Theory
• Graph Theory
• Combinatorics
• +۴ مورد دیگر

Alice Devillers is an Associate Professor (part-time) in the Department of Mathematics and Statistics at the University of Western Australia (UWA), within the School of Physics, Maths and Computing. She holds a doctorate in science from the Université Libre de Bruxelles (2002) and has held postdoctoral positions at Michigan State University and the Fonds National de la Recherche Scientifique (FNRS) in Belgium. Her research focuses on group theory, graph theory, combinatorics, finite geometry, and Tits' buildings. She is a member of the Centre for the Mathematics of Symmetry and Computation. Dr. Devillers' academic journey includes roles as a Research Fellow with the FNRS (1998–2002), a Belgian American Education Foundation fellow (2002–2003), and a Research Associate at UWA (2008–2011) before becoming a Senior Lecturer in 2011 and Associate Professor in 2022. She has been actively involved in mathematics outreach, particularly with the Western Australian Junior Olympiad (WAJO) and national senior competitions. Her research explores symmetry in combinatorial structures, including automorphism groups of designs and graphs, with a focus on imprimitive actions and transitivity properties. She collaborates internationally, contributing to algebraic combinatorics and finite geometries. She has secured grants, including an ARC project on exceptionally symmetric combinatorial designs (2020–2024) and another on permutation groups and graph symmetry (2013–2017). Teaching responsibilities include first-year mathematics units and a third-year geometry course. Her work balances research, education, and community engagement, reflecting her commitment to advancing mathematical understanding and accessibility.

Amy Pageمشاهده پروفایل

مدرس ارشد

• Deprescribing
• Quality Use of Medicines
• Geriatrics
• +۳ مورد دیگر

Dr. Amy Page is a Senior Lecturer in Pharmacy at the University of Western Australia's School of Allied Health and the inaugural Director of the Centre for Optimisation of Medicines. Her research focuses on deprescribing, quality use of medicines in geriatrics, and reducing polypharmacy-related harm in older adults. She has received over $13M in funding, published 160+ articles, and led influential projects like the Opti-med trial and development of the MATCH-D framework. Education & Qualifications: PhD (2017) MClinPharm (Clinical Pharmacy) GradDipBiostat (Biostatistics) GradCertDMEd (Diabetes Management Education) GradCertHProfEd (Health Professional Education) Research Interests: Dr. Page's work addresses medication optimization for older adults, with a focus on deprescribing strategies, polypharmacy reduction, and improving medication safety in aged care settings. She also develops clinical guidelines and educational programs for pharmacists. Key Achievements: Recipient of Australian Pharmacist of the Year (2024) and Young Pharmacist of the Year (2015) 2022 Vice-Chancellor’s Early Career Research Award Lead developer of national standards for pharmacist prescribing and aged care medication management Course Director for Doctor of Pharmacy Practice and Advanced Clinical Practice programs Grants & Impact: Over $13M in funding secured, leading projects such as the Centre of Research Excellence in Medicines and Ageing (CREMA) and the Safe Recovery initiative reducing hospital falls. Her work has influenced national policies like the APC accreditation standards and international frameworks like the Global Competency Framework. Teaching & Leadership: Oversees pharmacy postgraduate programs and pioneered microcredentials in clinical skills, prescribing, and diabetes education. Served as State President of the Pharmaceutical Society of Australia and on the Pharmacy Board of Australia.

• Building Information Modelling (BIM)
• Information & Communication Technologies in Built Environment
• Project Risk and Cost Modelling
• +۴ مورد دیگر

Dr. Madhav Nepal is a Senior Lecturer at the School of Architecture & Built Environment, Faculty of Engineering at Queensland University of Technology (QUT). He holds a Ph.D. in Civil Engineering from the University of British Columbia and has extensive academic qualifications in construction engineering and project management. His research focuses on Building Information Modelling (BIM), sustainable construction practices, project lifecycle management, and infrastructure asset management. Dr. Nepal has supervised numerous postgraduate research projects, including work on BIM implementation, power plant risk assessment, and e-tendering readiness in construction. Education: Ph.D., Civil Engineering (Project & Construction Management), University of British Columbia (2011) M.Sc., Building (Project Management), National University of Singapore (2004) M.Eng., Civil Engineering (Construction Engineering & Management), Asian Institute of Technology (2001) His research interests span BIM integration in construction workflows, ICT applications for sustainability, and risk modeling in large infrastructure projects. Recent work emphasizes machine learning applications for urban sustainability and ontology-based risk management in public-private partnerships. Dr. Nepal actively contributes to teaching units like Project Management Principles (BEN610/PMN610) and Managing Project Cost (BEB113). His publications highlight innovations in BIM adoption frameworks, cost overrun risk assessment methodologies, and safety inspection technologies using mobile computing. Supervision highlights include doctoral work on BIM-GIS infrastructure frameworks and cost overrun modeling in power plants. He has collaborated on interdisciplinary projects addressing nonconformity in construction supply chains and smart building technologies for UAE prisons.

• Privacy Engineering
• Privacy-by-Design
• Constructive Alignment
• +۳ مورد دیگر

Shan Chen is a Lecturer (Teaching and Leadership) at the School of Computing, Macquarie University , affiliated with the Future Communications Research Centre and the Ethics and Agency Research Centre . Their work bridges privacy engineering principles with information systems design, focusing on machine learning applications in cybersecurity, educational technology, and privacy-by-design frameworks. Research Interests : Privacy Engineering and Privacy-by-Design methodologies Constructive Alignment in educational systems Cybersecurity solutions leveraging machine learning Data analysis for crowd anomaly detection Information systems for expansive learning and mobile collaboration Ontology-driven privacy policy enforcement Awards : Winner of the Faculty of Science and Engineering Award for Inter-School Collaboration (2023) Research Contributions : Recent work includes advancing crowd anomaly detection techniques (2024), evaluating machine learning for cybersecurity threats (2020), and designing privacy-aware systems for social networks (2010–2013). Their interdisciplinary approach spans disaster alert systems, cloud ERP implementations, and privacy requirements engineering. Labs/Teams : Active contributor to the Future Communications Research Centre (exploring communication technologies) and Ethics and Agency Research Centre (ethical frameworks for information systems).

Mark Johnsonمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۵ مورد دیگر

Mark Johnson is a Professor at Macquarie University's School of Computing, affiliated with the Centre for Language Sciences (CLaS). His research focuses on computational linguistics, natural language processing, and machine learning, with contributions to parsing algorithms, child language acquisition models, and generative AI systems. He leads projects on generative models of life stories, logistics optimization algorithms, and visual dialogue systems using deep neural networks. Research interests include natural language understanding, data augmentation techniques, and model robustness. Notable projects involve developing frameworks for synthetic training data, OOD detection, and integrating named entity recognition with context tags. His work emphasizes practical applications in dialog systems, document analysis, and language model optimization. Collaborations span cross-linguistic studies and AI-driven visualization systems. Key achievements include over 200 research outputs, including influential articles on child language acquisition models and OOD detection. He oversees projects funded by MQRC and industry partnerships, focusing on advancing NLP and AI methodologies. His lab, CLaS, fosters interdisciplinary research in language sciences and computational methods.

Mehmet Orgunمشاهده پروفایل

استاد

• Artificial Intelligence
• Biomedical Image Processing
• Knowledge Discovery
• +۳ مورد دیگر

Mehmet Orgun is a Professor at the School of Computing, Macquarie University. He holds a BSc and MSc from Hacettepe University (Turkey) and a PhD from the University of Victoria (Canada). His research spans artificial intelligence, biomedical image processing, multi-agent systems, and secure systems. He has supervised over 30 PhD and master's students and led multiple ARC-funded projects totaling over $4M. His professional service includes roles at PRICAI 2010 and SIN 2019. Research Interests: Artificial Intelligence Quantum Cryptography Trusted Systems Medical Imaging Recommender Systems Awards: Best Student Runner Up Award (ADMA'23) Best Paper Award (MoMM2020) Best Student Paper Award (ICWS2016) Advising & Grants: 30+ PhD/Master's students ARC grants exceeding $4M Labs/Teams: Collaborations include Australian Taxation Office and DSTO. Projects focus on trust-oriented data analytics and secure systems.

Yanqiu Wuمشاهده پروفایل

مدرس

• Machine Learning
• Quantum Machine Learning
• Deep Reinforcement Learning
• +۶ مورد دیگر

Dr. Yanqiu (Autumn) Wu is a Lecturer in Artificial Intelligence at Macquarie University's School of Computing, affiliated with the Data Horizons Research Centre and Frontier AI Research Centre. She holds a PhD from New York University (2022) and a B.S. with Honors from New York University Shanghai (2017). Prior to her current role, she was a CERC Postdoctoral Research Fellow at CSIRO's data61. Her research focuses on Quantum Machine Learning, Markov Decision Processes, off-policy and off-line Deep Reinforcement Learning, and adversarial machine learning. Education: PhD in Computer Science, New York University (2017–2022) Bachelor of Science in Computer Science (Honors), New York University Shanghai (2013–2017) Her research interests emphasize advancing machine learning techniques, particularly in quantum computing and reinforcement learning applications. Notable contributions include work on adversarial robustness in quantum ML and spatio-temporal optimization for ride-hailing systems. Her publications appear in top-tier venues like ICML, NeurIPS, and IMC. She actively reviews for major conferences such as ICML, ICLR, NeurIPS, and IJCAI, and served on the program committee for SecTL 2023. Supervision opportunities are available for PhD/MRes students eligible for scholarships, with a focus on AI and quantum ML. Labs/Teams: Data Horizons Research Centre and Frontier AI Research Centre at Macquarie University.

Rajendran Parthibanمشاهده پروفایل

استاد

• Optical Networks
• Visible Light Communication
• Vehicular Communication
• +۴ مورد دیگر

Professor Rajendran Parthiban is a Professor and Deputy Dean (Education) in the Department of Electrical and Computer Systems Engineering at Monash University. He holds a PhD and Bachelor of Engineering from the University of Melbourne (Australia). His academic leadership roles include Deputy Head of School (Education) and leadership in photonics and communications research groups. He has extensive teaching experience, achieving top evaluations in five undergraduate and one postgraduate subjects. Education: PhD in Electrical and Electronic Engineering, University of Melbourne (2004) Bachelor of Engineering (First Class Honours), University of Melbourne (1997) Research Interests: Focuses on optical networks, visible light communications (VLC), vehicular communication, and educational technologies like VR/AR integration. His work addresses challenges such as energy-efficient optical architectures, high-speed VLC systems, and technology-enhanced learning frameworks. Recent projects include developing traffic management frameworks and green vehicle routing strategies. Grants & Funding: Secured over RM2 million in external grants, including projects on Li-Fi systems, AR/VR in engineering education, and green vehicular networks. Notable grants include collaborations with the Australian Digital & Telecom Pty Ltd and Monash-Warwick Alliance. Awards: Pro-Vice Chancellor’s Award for Excellence in Research (2011, 2012) Pro-Vice Chancellor’s Award for Excellence in Teaching (2007–2010) Australian Learning and Teaching Council Citation (2008) Supervision: Guided eight PhD and one Master’s students, with ongoing supervision in areas like credit risk forecasting, vehicular networks, and seamless learning frameworks. Professional Activities: Senior member of IEEE, with affiliations to IEEE Communications Society, Photonics Society, and multiple engineering organizations. Active in research groups and international collaborations.

Nicole Robinsonمشاهده پروفایل

مدرس

• Human-Robot Interaction
• Robotics
• AI Ethics
• +۳ مورد دیگر

Dr. Nicole Robinson is a Lecturer at Monash University, cross-appointed between the Faculty of Engineering and the Faculty of Medicine, Nursing & Health Sciences. She holds affiliations with the Department of Electrical and Computer Systems Engineering and the School of Psychological Sciences. Her interdisciplinary research focuses on human-robot interaction, translating human behavior into robotics systems to advance human-robot collaboration. She has led clinical trials and experimental studies involving humanoid and socially interactive robots, with a particular emphasis on healthcare applications and team performance in search-and-rescue missions. Dr. Robinson previously served as a Chief Investigator and Program Leader of Human Interaction at the QUT Robotics Centre, and is currently an Honorary Adjunct Lecturer at Queensland University of Technology. She co-founded LYRO Robotics, a venture-backed company developing AI-driven robotic solutions for warehousing and agriculture, which won the 2020 Unicorn Cup as Australia’s top startup. Her work spans $7.4M in competitive grants and industry partnerships, emphasizing ethical robotics and public outreach. Her research interests include human-robot teamwork, explainable AI, and behavioral psychology. She has published extensively on HRI methodologies, trust dynamics, and social robots in healthcare. Notable awards include the 2018 Best Team Award and 2019 Contribution to Public Debate Award from the Australian Centre for Robotic Vision. Dr. Robinson is a sought-after speaker, with a media reach exceeding 40 million, and has hosted a podcast on AI and robotics. She actively promotes STEM education and gender diversity, contributing to courses and guest lectures at multiple institutions.

• Atomic Resolution Imaging
• Electron Microscopy
• Theoretical Physics
• +۳ مورد دیگر

Scott Findlay is an Associate Professor in the School of Physics and Astronomy at Monash University. He holds an ARC Future Fellowship (2020–present) and has expertise in theoretical physics and advanced electron microscopy techniques. His research focuses on atomic resolution imaging via scanning transmission electron microscopy (STEM), including novel detector geometries, compositional analysis of nanostructures, and quantitative structure determination. He has led multiple ARC-funded projects, including 'UltraTEM' and 'Nanoscale field mapping in functional materials.' Education: PhD in Physics (Theoretical Aspects of Scanning Transmission Electron Microscopy), The University of Melbourne (2005) BSc (Hons) in Physics, The University of Melbourne (2001) Research Interests: Developing theoretical models and numerical simulations to enhance STEM capabilities, particularly in dynamic scattering analysis. Current projects include optimizing segmented/pixel detectors for imaging, quantifying material composition at the nanoscale, and analyzing thick nanostructures. Articles Trends: Recent work emphasizes 4D-STEM advancements, including denoising algorithms, scattering matrix reconstruction, and atom-counting techniques. His research bridges theory and experiment, addressing challenges in dynamical scattering and phase retrieval. Awards: AMMS Microscopy and Microanalysis Award (2018) Exceptional Educational Service Award (2021) Outstanding Reviewer for Microscopy and Microanalysis (2017) Advising & Grants: Supervises PhD students and has secured over AUD 10 million in ARC grants. Coordinates Monash's Level 2 Physics curriculum and chairs the School's Education Committee. Labs/Teams: Collaborates with institutions like the University of Tokyo and the University of Melbourne on projects such as magnetic field mapping and electron ptychography.

• Galaxy Evolution
• Gravitational Lensing
• Astronomical Sciences
• +۴ مورد دیگر

Tania Barone is a Postdoctoral Research Associate at Swinburne University of Technology’s School of Science, Computing and Emerging Technologies, focusing on galaxy evolution and gravitational lensing. Her research explores quiescent galaxies, circumgalactic medium dynamics, and the application of lensing techniques to study high-redshift systems. She is available to supervise Doctorate (PhD) candidates. Education: - PhD in Astronomy, Australian National University, Canberra, Australia. Research Interests: Ms. Barone’s work centers on galaxy evolution mechanisms, particularly the interplay between galactic winds, outflows, and the circumgalactic medium. She uses gravitational lensing to study quiescent galaxies and their gas distribution, extending her research to cosmic noon (z=1) and beyond. Her studies integrate observational data from telescopes like Keck, Hubble, and the Very Large Telescope to probe galaxy structure and mass distribution. Professional Activities: - Organized the JWST MasterClass 2024 and ASTRO3D 2022 Science Meeting. - Committee member of Swinburne’s Keck Time Allocation and PhD Admissions Panels. - Referee for journals including The Astrophysical Journal , Monthly Notices of the Royal Astronomical Society , and Astronomy & Astrophysics . Advising & Grants: - Supervised two PhD candidates: “Using gravitational lenses to map the diffuse gas around galaxies” (2025) “Galaxies and Their Circumgalactic Medium” (2022) - Collaborates on the ASTRO3D Centre of Excellence and the AGEL (Galaxy Evolution with Lenses) survey. Labs/Teams: Active contributor to the AGEL survey team and ASTRO3D, leveraging large-scale lensing systems to study galaxy evolution at high redshifts.