جست‌وجوی استاد و پژوهشگر

Ye Luمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Smart Materials and Structures
• Advanced Signal Processing
• +۵ مورد دیگر

Ye Lu is an Associate Professor in Structural Engineering at Monash University's Department of Civil and Environmental Engineering, leading the Civil Master Program. He holds a PhD in Mechanical Engineering from the University of Sydney (2007) and has been awarded an Australian Research Council (ARC) Discovery Project and ARC Australian Postdoctoral Fellowship (2008). His research focuses on structural health monitoring, smart materials, and artificial intelligence applications in civil engineering infrastructure. Dr. Lu leads projects such as the ARC Research Hub for Smart Next Generation Transport Pavements and the Non-contact Integrity Assessment of High-rise Building Facades. Education: PhD in Mechanical Engineering, University of Sydney, Australia (2007) Research Interests: Structural health monitoring Smart materials and structures Advanced signal processing and AI Infrastructure durability Projects: SPARC: ARC Research Hub for Smart Transport Pavements (2019–2025) Non-contact Façade Panel Integrity Assessment (2020–2025) Smart Sensing for Construction Monitoring (2019–2024) Awards: ARC Australian Postdoctoral Fellowship (2008) ARC Discovery Project Grant (2008) Teaching & Advising: PhD supervision in structural engineering and smart materials Courses: CIV3294, CIV5135 (Advanced Structural Design), CIV5887 (Infrastructure Monitoring) Labs/Teams: Leader of the Civil Master Program, collaborator in interdisciplinary projects across Monash and industry partners like Transurban and EON Reality.

Louis Moresiمشاهده پروفایل

استاد

• Geophysics
• Geodynamics
• Mantle Convection
• +۵ مورد دیگر

Prof Louis Moresi is a Professor at the Research School of Earth Sciences, Australian National University. His research focuses on the thermal-mechanical evolution of the Earth's deep interior, particularly mantle convection, plate tectonics, and lithospheric dynamics. He develops computational tools like the Underworld software suite to simulate geodynamic processes, emphasizing open-source practices and reproducible research. Education: DPhil (PhD) in Geophysics, University of Oxford BA (Honors) in Natural Sciences, University of Cambridge Research Interests: Prof Moresi investigates how convective heat loss from the Earth's mantle manifests as plate tectonics, the role of continents in modulating this process, and the interplay between surface processes (e.g., climate change) and deep Earth dynamics. His work integrates numerical modeling, open-source software development, and geodynamic theory to address questions about continental collision, subduction zone dynamics, and lithospheric rheology. Awards: Fellow, Australian Academy of Science (2023) Fellow, American Geophysical Union (2017) Fellow, Royal Astronomical Society (2000) Advising & Grants: He supervises research students and leads projects funded by grants such as "How Large Earthquakes Change Our Dynamically Deforming Planet" (2024–2027). His work includes collaborations on seismic imaging (e.g., Eyre Peninsula Nodal Array) and computational infrastructure for geodynamic modeling (SAM Underworld software system). Labs/Teams: Prof Moresi is a core developer of the Underworld software framework, a collaborative effort advancing numerical geodynamic modeling through Python-based tools for high-performance computing and cloud deployment.

Clarissa Whitmireمشاهده پروفایل

مدرس ارشد

• Neuroscience
• Biomedical Engineering
• Sensory Systems
• +۳ مورد دیگر

Dr. Clarissa Whitmire is a Senior Lecturer in Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ) and a Senior Research Fellow at the Queensland Brain Institute (QBI). She leads a research group focused on understanding how somatosensory information is encoded across the neuraxis, particularly within thalamocortical circuits. Her interdisciplinary work bridges neuroscience and engineering, employing experimental and computational methods to study neural representations of sensory stimuli. Dr. Whitmire holds a B.S. in Biomedical Engineering from North Carolina State University and a Ph.D. from Georgia Institute of Technology/Emory University. After postdoctoral research at the Max Delbrück Center for Molecular Medicine, she established her lab at UQ in 2023. Her research explores nonlinear neural coding mechanisms, emphasizing the dynamic role of the thalamus. Key themes include temperature sensation, sensory integration, and the interplay between neural circuit states and signal timing precision. Publications span neuroscience, biomedical engineering, and optical imaging, reflecting her expertise in sensory systems and neural circuit analysis. She actively trains students in Honours and PhD programs, fostering interdisciplinary approaches to brain science. Labs: Whitmire Lab at QBI. Collaborations include work on three-photon microscopy and optogenetic neurocontrol, with a focus on advancing tools for in vivo neural recording and manipulation.

Iman Shamesمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Optimization Algorithms
• +۴ مورد دیگر

Professor Iman Shames is a faculty member at the School of Engineering , Australian National University , specializing in mechatronics and control systems. His research spans robotics, optimization algorithms, and multi-agent systems, with significant contributions to predictive control, autonomous systems, and grid security. Research Trends : Recent work focuses on real-time control optimization, hybrid dynamical systems for game-theoretic applications, and decentralized algorithms for sensor networks and robotics. Key themes include stabilizer design, gradient-based optimization, and robust positioning systems. Projects : Currently leads initiatives in electricity grid security, neuro-autonomy for robots, and adversary-robust positioning. Collaborates globally on complex network optimization and control theory.

• Electroacoustic Composition
• Biomimetic Sound Art
• Environmental Soundscapes
• +۳ مورد دیگر

Dr Daniel Blinkhorn is a Senior Lecturer and composer at the Sydney Conservatorium of Music (University of Sydney), specializing in electroacoustic and biomimetic sound composition. His work explores intersections between natural environments, technology, and acoustic innovation. He holds a PhD in composition from the University of Wollongong and has completed leadership training through the University of Sydney Business School. Research focuses on biomimetic frameworks, environmental soundscapes, and interdisciplinary media. Notable works include the award-winning frostbYte series and collaborations with institutions like the Sydney Nano Institute. He coordinates units in electroacoustic music, sound recording, and digital composition. Teaching: Electroacoustic Music, Music & Moving Image, Sound Recording Advanced, Digital Composition 1 Leadership: Completed 'Leading Teams' program (University of Sydney Business School) Recipient of over 40 international awards including the 2022 Ise-Shima Grand Prize and 2011 Churchill Fellowship. Current initiatives include NanoSonic Stories (Sydney Nano) and Climate Letters (Melbourne Botanic Gardens). Supervised 7 PhD/Masters candidates to completion since 2020. Member of Sydney Environment Institute, Australasian Computer Music Association (ACMA), and International Computer Music Association (ICMA). Represented by Australian Music Centre.

• Economic Dynamics
• Dynamic Programming
• Optimal Growth Theory
• +۴ مورد دیگر

John Stachurski is a Professor at the Research School of Economics, Australian National University, specializing in economic dynamics, dynamic programming, and computational methods. His research focuses on optimal growth theory, stochastic processes, and asset pricing models. He has contributed to advancements in unbounded dynamic programming, Bellman equation transformations, and the computational efficiency of economic models. His work often bridges theoretical rigor with practical applications in finance and macroeconomics. Stachurski’s research spans projects such as the Next Generation Scientific Textbooks (2019–2025) and Advanced Computational Methods for Asset Pricing (2017–2021), emphasizing innovation in quantitative economics. He holds an h-index of 11 with over 563 citations across his 48 publications. His research interests include stability analysis of economic systems, recursive utility frameworks, and the interplay between financial markets and economic theory. Notable contributions include work on power-transformed affine systems, interest rate dynamics, and systemic risk in financial networks.

• Reef Ecology
• Body Size
• Coral Reef Conservation
• +۹ مورد دیگر

Diego Barneche Rosado is an Adjunct Senior Research Fellow at the UWA Oceans Institute, University of Western Australia. His research spans marine ecology, focusing on coral reefs, trophic dynamics, and the interplay between body size and biodiversity. Research Themes : Coral reef conservation, acoustic monitoring, trophic cascades, climate change impacts. Collaborations : Global partnerships with institutions in Australia, Brazil, and the U.S. His recent work includes developing tools like the bayesnec R package for toxicity metrics and analyzing large-scale experiments on seismic surveys. While no formal awards are listed, his publications in Nature and Global Ecology and Biogeography highlight significant contributions to marine science. He actively shares datasets on platforms like Zenodo and Dryad, emphasizing reproducibility. Key Collaborators : Mark Meekan, Ross Fisher, Carlos M. Duarte, and Stuart-Smith.

Bonsoo Kooمشاهده پروفایل

دانشیار

• Financial Econometrics
• Econometric Theory
• Finance
• +۵ مورد دیگر

Bonsoo Koo is an Associate Professor at Monash University's Department of Econometrics and Business Statistics within the Faculty of Business and Economics. He holds a PhD from the London School of Economics and Political Science. His research focuses on financial econometrics, econometric theory, macroeconometrics, and superannuation, emphasizing economic modelling, estimation, forecasting, and policy analysis. Dr. Koo has secured four Australian Research Council grants, including projects on superannuation sustainability, yield curve dynamics, and state-dependent fiscal multipliers. Recent collaborations span institutions globally, addressing topics like insurance market dynamics, pension planning, and macroeconomic policy impacts. He leads teams in projects such as 'High-frequency Estimation of Term Structure Models' and 'SETAR-Tree Forecasting', demonstrating interdisciplinary expertise in finance and statistics. His work contributes to UN Sustainable Development Goals through retirement income optimization and economic scenario modelling. Publications span journals like Journal of Computational and Graphical Statistics and Insurance: Mathematics and Economics , focusing on Bayesian methods, nonlinear dynamics, and stochastic pricing mechanisms.

• Applied Mathematics
• Nanotechnology
• Granular Materials
• +۳ مورد دیگر

Professor Natalie Thamwattana holds a position at the University of Newcastle's School of Information and Physical Sciences, specializing in Mathematics. She has been recognized with prestigious awards, including the 2014 JH Michell Medal and the University of Wollongong's Emerging Researchers Excellence Award. Her research focuses on applied mathematics, nanotechnology, and granular materials, with notable contributions to carbon nanostructure modeling and electrorheological fluids. Natalie has supervised ten PhD students, many of whom now hold academic and research roles globally. Education: Doctor of Philosophy in Applied Mathematics, University of Wollongong Research Interests: Natalie's work bridges mathematics and interdisciplinary applications, including nanomechanics, mathematical modeling of nanostructures (e.g., carbon nanotubes, graphene), and fluid dynamics. She pioneered studies on granular materials' exact solutions and developed continuum models for molecular interactions. Her contributions extend to environmental applications, such as permeable reactive barriers and dye-sensitized solar cells. Grants & Collaborations: ARC Discovery Project (2017-2019) on electromaterials for energy ARC Linkage Project (2020-2022) on clogging in reactive barriers Collaborations with engineering, computer science, and medical fields Awards & Recognition: Fellow of the Australian Mathematical Society Fellow of the Royal Society of New South Wales Featured in the 'Women of Mathematics' exhibition Labs & Leadership: Natalie directed the Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA) and co-directed the Mathematics in Industry Study Group (MISG). She is actively involved in promoting gender equity in mathematics through roles in WIMSIG and outreach programs targeting high school students.

Karen Liveseyمشاهده پروفایل

دانشیار

• Theoretical Condensed Matter Physics
• Magnetic Nanomaterials
• Nanoparticles
• +۴ مورد دیگر

Associate Professor Karen Livesey is a theoretical condensed matter physicist specializing in magnetic nanomaterials and their applications in medicine and computing. She holds dual roles as Associate Professor and Head of Physics at the University of Newcastle's School of Information and Physical Sciences (College of Engineering, Science and Environment). Previously, she served as Assistant Professor (2012–2018) and Associate Professor (2018–2020) at the University of Colorado at Colorado Springs (UCCS). Education: BSc (Honours) and PhD in Physics from the University of Western Australia (UWA), followed by postdoctoral training at CSIRO and UCCS. She coordinates the UCCS Physics PhD program and has mentored students winning awards in poster competitions, Three-Minute Thesis, and fellowships. Research focuses on magnetic thin films, nanoparticles, and their applications. Key areas include nonlinear dynamics, spin waves, and Dzyaloshinskii-Moriya interaction effects. Her work bridges theoretical models (e.g., Landau-Lifshitz equations) with experimental techniques like neutron reflectometry. Awards: 2023 Superstar of STEM (Science and Technology Australia), 2019 Emmy Noether Fellowship (Perimeter Institute), and multiple teaching awards (Australian Awards for University Teaching, UoN CESE Excellence Awards). She is a frequent invited speaker at international conferences and public science events. Grants: Over $569,789 from funders like the US National Science Foundation, Royal Society of New Zealand, and Australian Institute of Nuclear Science & Engineering. Current projects include studies on magnetic skyrmions and nanoparticle interactions. Labs/Teams: Collaborates with international groups on neutron reflectometry (ANSTO), spintronics, and magnetic material design. Research outputs span 52+ journal articles, two book chapters, and media outreach as a STEM Superstar.

Buser Sayمشاهده پروفایل

مدرس

• Sequential Decision Making
• Mathematical Optimization
• Machine Learning
• +۳ مورد دیگر

Dr. Buser Say is a Lecturer in the Department of Data Science & AI at Monash University, where he leads research at the intersection of sequential decision making, mathematical optimization, and machine learning. He also serves as Director of Student Engagement for the Faculty of Information Technology. His current projects include 'Blackbox Multi-Objective Optimization of Unknown Functions' and 'Human-in-the-Loop Microgrid Project'. Dr. Say develops algorithms for optimal planning with neural network transition models and functional selectivity in decision systems. He employs mixed-integer programming and high-dimensional optimization techniques.

Hang Dingمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence in Healthcare
• Digital Health
• Telemonitoring
• +۳ مورد دیگر

Dr. Hang Ding is a Research Fellow at The Kirby Institute, UNSW Sydney, focusing on AI-driven solutions for global health challenges. He holds a Ph.D. in Biomedical Engineering from the University of Queensland (UQ). His career includes roles as a Research Fellow at UQ’s RECOVER Injury Research Centre and Research Scientist at CSIRO (2009–2019). He specializes in applying AI to outbreak analysis via the EPIWATCH platform and has pioneered telemonitoring systems for chronic diseases like heart failure, COPD, and diabetes. His work bridges clinical practice and digital health innovation, with over 20 peer-reviewed publications. Education : Ph.D. in Biomedical Engineering (UQ). Key Roles : Current Research Associate at The Kirby Institute; Former Research Fellow at UQ; Research Scientist at CSIRO. Research Interests : Digital Health & AI in healthcare, telemonitoring strategies, chronic disease management systems, and epidemic analysis platforms. His work emphasizes translating AI techniques into actionable health interventions, particularly through platforms like EPIWATCH and MH-COPD. Article Trends : His publications focus on telemedicine efficacy (e.g., chronic heart failure, COPD), mHealth applications for diabetes, and systematic reviews evaluating digital health tools. Recent work introduces conversational AI frameworks for health interventions and evaluates telemonitoring’s impact on patient adherence. Awards & Grants : No awards explicitly listed, but his research has been supported through collaborative grants in chronic disease management and AI applications. Labs/Teams : Active within The Kirby Institute’s global health research programs and collaborates with institutions like RECOVER and CSIRO on health informatics projects.

Michael Richardsonمشاهده پروفایل

استاد

• Cognitive Science
• Human Factors
• Complex Systems
• +۸ مورد دیگر

Michael Richardson is a Professor in the School of Psychological Sciences at Macquarie University and Director of the Centre for Elite Performance Expertise and Training (CEPET). His research focuses on modeling human perception, action, and cognition for developing human-machine systems, with expertise in cognitive science, AI, and dynamical systems analysis. Education & Roles: Former Associate Professor at University of Cincinnati (2009-2017) Former Assistant Professor at Colby College (2006-2009) Research Interests: His work integrates cognitive science, complex systems theory, and AI to model social interaction, motor control, and multiagent coordination. Key areas include: Human-machine interaction dynamics Perception-action coupling Embodied cognition Nonlinear time-series analysis Awards: 4x Department of Psychology Graduate Instructor/Advisor of the Year (2012-2015) Psi Chi Undergraduate Instructor of the Year (2012) Advising & Grants: Supervised 12 PhD and 14 MSc students in last 5 years. Current projects include: Funding for human-machine coordination research (2022-2024) VR-based social interaction studies Labs & Collaborations: Directs CEPET and collaborates with Frontier AI Research Centre. Active in developing training programs for multiagent systems and social robotics.

Seth Keenمشاهده پروفایل

مدرس

• Documentary Practice
• Digital Innovation
• Knowledge Translation
• +۴ مورد دیگر

Seth Keen is a Lecturer and Internship Coordinator in the School of Media & Communication at RMIT University. His work bridges academic research and industry practice, focusing on documentary storytelling, digital innovation, and knowledge translation. He collaborates with organizations like Forest Fire Management Victoria to develop emergency management software and has received a Good Design Award for an Indigenous sovereignty project. His teaching emphasizes career development and industry connections, earning him school and faculty teaching awards. Research interests include interactive documentary, Indigenous knowledge systems, and environmental sustainability. Notable projects include software for wildfire management and visualizing development aid programs with World Vision Australia. He supervises research projects on topics like climate sensing and Indigenous coastal histories. His work spans creative outputs such as films on Timor-Leste healing practices and Wiradjuri self-determination, alongside books like Digital Media and Documentary . Collaborations include the University of Melbourne and the Institute of Australian Geographers. Teaching & Supervision: Media production courses, documentary studios, and supervision of projects like Intimate Sensing in Climate Research . Key Collaborations: Forest Fire Management Victoria, World Vision Australia, University of Melbourne Human Geographers.

Reza Nakhaie Jazarمشاهده پروفایل

استاد

• Mechanical Engineering
• Automotive Engineering
• Electrical and Electronic Engineering
• +۸ مورد دیگر

Professor Reza Nakhaie Jazar is the Discipline Head of Mechanical and Automotive Engineering at RMIT University's School of Aerospace, Mechanical and Manufacturing Engineering, where he has led teaching and research programs since 2009. Prior to this, he served as an Adjunct Professor at Columbia University (2007–2009) and held academic roles including Assistant Professor at North Dakota State University (2001–2006) and Research Fellowships at the University of Waterloo and University of Calgary (2000–2001 and 1999–2000). He also lectured at Iranian institutions earlier in his career. His research focuses on dynamic systems, vehicle dynamics (with emphasis on autonomous vehicles and safety), MEMS (microelectromechanical systems), and robotics. Professor Jazar has contributed to industry-standard methodologies such as the RMS Optimization method and Floating-Time method, and has published over 200 works, including books and journal articles. He is Editor-in-Chief of the Journal of Nonlinear Engineering and actively engages with conferences and publishers globally. His research interests span Mechanical Engineering , Automotive Engineering , Electrical and Electronic Engineering , Biomedical Engineering , Manufacturing Engineering , and Classical Physics . He explores topics like nonlinear dynamics, vibration isolation, and optimal control in robotics and vehicles. Recent projects include developing algorithms to enhance EV charging infrastructure, trajectory optimization for autonomous vehicles, and improving vehicle safety through infrastructure-based sensors. Professor Jazar supervises research projects on automotive systems, MEMS, and robotics. His work integrates machine learning and mathematical modeling to address challenges in energy management, fault-tolerant control, and smart vehicle design. No scientific awards are explicitly mentioned in the text, though his editorial roles and contributions highlight significant academic influence.