جستجوی استاد راهنمای دانشگاهی

Dr Kai Li Lim is the St Baker Fellow in E-Mobility at the Dow Centre for Sustainable Engineering Innovation , part of the Faculty of Engineering, Architecture and Information Technology at The University of Queensland (UQ) . Specializing in data engineering , telematics , and autonomous vehicle systems , his research examines electric vehicle (EV) usage patterns , charging reliability , and spatiotemporal data analysis to inform policy and sustainable transport strategies. Education : BEng (Hons) in Electronic and Computer Engineering (University of Nottingham), MSc in Computer Science (Lancaster University), PhD in Artificial Intelligence and Robotics (The University of Western Australia, funded by Australian Government Research Training Programme). Research Interests include: Electric vehicle telematics and data analytics Computer vision and deep learning for autonomous navigation Policy development for sustainable transport Infrastructure planning for EV and hydrogen systems Integration of cloud computing and IoT in mobility solutions Publication Trends reveal a focus on EV charging behaviors , data platform architectures , and autonomous driving frameworks , with recent work addressing regional emission disparities , modular safety systems , and online assessment integrity . Scientific Awards : St Baker Fellow in E-Mobility, Visiting Fellowship at UC Davis Electric Vehicle Research Center, Australian Government Research Training Programme (PhD funding). Supervision and Grants : Available for supervision, Dr Lim has secured funding from Energy Consumers Australia , iMove CRC , and Australian Urban Research Infrastructure Network (AURIN) for projects on EV charging incentives, freight emissions modeling, and longitudinal vehicle data databases. Labs and Collaborations : Collaborates with UC Davis Electric Vehicle Research Center , UQ School of Civil Engineering , and UQ School of Electrical Engineering and Computer Science . Leads the UQ Teslascope Project and contributes to the Green Australian Vehicle Ownership (GreenAVO) Capability for AURIN .

• Electric Vehicles
• Autonomous Vehicles
• Data Engineering
• +۱۲ مورد دیگر

Dr. Manuel Gonzalez Rivero is a Research Fellow and Team Leader of Reef Process Dynamics at the Australian Institute of Marine Science (AIMS). His work focuses on multidisciplinary approaches to understand coral reef ecosystem dynamics, combining ecological theory, mathematical modeling, and advanced technologies like AI and 3D mapping. He leads initiatives integrating global coral reef monitoring with climate change impact assessments. Education: PhD in Biological Sciences (University of Exeter, UK, 2012), BSc in Biological Sciences (Universidad Central de Venezuela, 2005). Research Interests: Spatial and disturbance ecology of coral reefs Climate change effects on reef resilience Automated coral reef monitoring using AI and autonomous systems Long-term trajectories of reef communities Technological advancements in habitat mapping and 3D modeling Publications highlight contributions to coral reef recovery dynamics, AI-driven monitoring, and global bleaching impacts. His work emphasizes scalable solutions for reef conservation amid climate pressures. Grants and Labs: Active in AIMS-led projects, including XL Catlin Seaview Survey and Reef 2050 monitoring. Collaborates with institutions like the University of Queensland and UNESCO.

• Marine Ecology
• Climate Change
• Coral Reef Monitoring
• +۶ مورد دیگر

Dr. Shixun Huang is a Lecturer in the School of Computing and Information Technology at the University of Wollongong, Australia. He holds a PhD from RMIT University and specializes in data mining, machine learning, and optimization algorithms for high-dimensional data problems. His research develops efficient algorithms for data discovery, similarity search, and network analysis. Current projects focus on optimized data acquisition strategies for machine learning, cost-effective labeling for graph neural networks, and cardinality estimation in high-dimensional databases. Methodologically, he combines combinatorial optimization with machine learning techniques. Dr. Huang supervises graduate research on diffusion models for medical imaging, graph prompt learning, and image captioning systems. His honors include multiple best paper awards at top database conferences and recognition for teaching excellence (College Top Course Award at RMIT). Recent publications address dataset distinctiveness maximization (WWW 2025), high-dimensional similarity search (VLDB 2025), and edge computing optimization (2024). Earlier foundational work established new approaches for influence maximization in social networks and temporal graph representation learning.

• Data Mining
• Machine Learning
• Algorithm Design
• +۳ مورد دیگر

Professor Andrew Bassom is a Professor of Applied Mathematics and Head of Discipline in Mathematics at the University of Tasmania's School of Natural Sciences. He holds a PhD and has held prior appointments at the University of Western Australia (UWA) and the University of Exeter (UK). His research focuses on fluid mechanics, differential equations, and mathematical modelling with applications to ocean flows, geophysics, and biomedical engineering (e.g., ventilation of premature babies). Research Interests: Applied mathematics, theoretical and applied mechanics, fluid dynamics, and nonlinear systems. Recent work involves magnetic bubble dynamics, climate system hyperbolicity, thermal convection patterns, and seismicity modelling in mining contexts. Grants & Projects: Key projects include: A$460,000 ARC Discovery Project (2019–2023) studying Antarctic ice-sheet collapse via seismic signals. A$15,000 ARC College of Experts 2023 nomination grant. Modelling mining-induced seismicity using the Material Point Method (MPM). Teaching & Supervision: Teaches third-year/honours applied mathematics units. Current doctoral supervision includes projects on climate system hyperbolicity, non-spherical bubbles, and ice-rock interface dynamics. Completed students include Earl Sullivan Lester (dark matter cosmology) and Gysbert Basson (MPM applications in mining). Publications: Over 228 peer-reviewed articles, emphasizing fluid mechanics innovations and interdisciplinary applications. Recent trends focus on geophysical fluid dynamics, climate modelling, and computational methods for complex systems.

• Applied Mathematics
• Fluid Mechanics
• Theoretical Mechanics
• +۳ مورد دیگر

Dr. Craig Evans is a Senior Lecturer in Environmental Science and Management at the University of Newcastle , affiliated with the College of Engineering, Science and Environment . With over 15 years of academic experience, his career spans teaching, research, and postgraduate supervision in biological and environmental sciences. Education: BSc (Biochemistry, University of New England), PhD (Science, University of Newcastle) Research Expertise: Chromatography & mass spectrometry for contaminant detection, molecular microbiology for pathogen tracking, and metabolic profiling for physiological studies Teaching Portfolio: Water quality science, emerging contaminants, freshwater systems, and advanced analytical techniques His research portfolio includes world-first studies on biostability in water distribution networks, aquatic Streptomyces activity, rainwater micro-ecology, and wind pattern impacts on microbial composition. Recent publications focus on antibiotic resistance in water systems, probiotic applications, and cyanobacterial dynamics. Key Research Areas: Aquatic ecology and pollution Faecal source tracking methodologies Microbial indicators in water quality Human and equine metabolic disturbances Emerging contaminants in water recycling Biostability in drinking water networks Dr. Evans has secured $724,141 in grants across 24 projects, including studies on: Soil health in viticulture Biocontrol of aquatic weeds Climate change water quality impacts Real-time cyanobacterial monitoring He has supervised 6 completed PhD projects and 2 ongoing investigations, with focus areas in: Invasive aquatic plant control Probiotic dairy applications Microbial water quality assessment

• Water quality science
• Environmental microbiology
• Faecal source tracking
• +۶ مورد دیگر

Theodore Vo is a Lecturer in the School of Mathematics at Monash University. He previously held an Assistant Professor position at Florida State University (2017–2019). His research focuses on geometric singular perturbation theory, canards, and slow-fast analysis applied to excitable cells and bursting oscillations. He earned a PhD in Applied Mathematics from the University of Sydney (2011–2014), specializing in mixed-mode dynamics in pituitary cells. Education: Doctor of Philosophy (Applied Mathematics), University of Sydney, 2014 Research Interests: His work explores canard-mediated phenomena in cardiac cells, bursting dynamics in biological systems, and bifurcation analysis in reaction-diffusion equations. Recent studies include delayed Hopf bifurcations, symmetry-breaking in coupled oscillators, and spatiotemporal canards. Article Trends: Vo’s recent work emphasizes multiscale systems, particularly in cardiac electrophysiology and coupled oscillator networks. Key themes include canard-induced early afterdepolarizations, delayed bifurcation effects, and chimera states in reaction-diffusion systems. Awards: SIAM Outstanding Paper Prize (2017) for collaborative work on bursting oscillations in pituitary cells. Advising/Grants: He accepts PhD students and has contributed to interdisciplinary projects at the interface of mathematics and cellular biology. No grants are explicitly listed, but his research is supported by institutional and collaborative funding.

• Geometric Singular Perturbations
• Canards
• Slow/Fast Analysis
• +۵ مورد دیگر

Rachel Allavena is a Professor and Deputy Head of School at the School of Veterinary Science, The University of Queensland . She specializes in veterinary pathology and comparative medicine , developing cancer immunotherapies using pet dogs with natural cancer as models for human oncology. Her work bridges veterinary and human medicine, focusing on translational research . She also leads forensic pathology investigations for Racing Queensland , Queensland Police , and RSPCA Queensland , advocating for animal cruelty prevention . PhD in Comparative Medicine (Cornell University) Postgraduate Diploma in Veterinary Anatomic Pathology (University of Guelph) Bachelor of Veterinary Biology and Honours (University of Queensland) Her research spans comparative oncology (including canine brain cancer, lymphoma, melanoma, osteosarcoma ), koala conservation (co-developer of KoalaBASE database), and envenomation studies . She has trained ACVP board-certified pathologists and developed drug safety testing protocols in the UK pharmaceutical sector. Her immunotherapy trials have achieved 20% cure rates in terminal canine cancer patients. 2015 - Faculty of Science Teaching Excellence Award 2021 - UQ Citation for Outstanding Contributions to Student Learning As a media expert , she has featured in international outlets and delivered a TEDx talk on canine cancer therapy. She actively supervises PhD/MPhil students in projects like Canine Osteosarcoma Immunotherapy and Feline GI Lymphomas . Her team explores biometallic implants and forensic pathology applications.

• Comparative and translational medicine
• Veterinary pathology
• Animal model validation
• +۷ مورد دیگر

Dr. Torsten Reiners is a Senior Lecturer at Curtin University's School of Management and Marketing, part of the Faculty of Business and Law. His research focuses on Supply Chain Management, Operations Optimization, Emerging Technologies (IoT, Mixed Reality), and Decision Support Systems. He holds a PhD in Information Systems/Education and has expertise in programming and development related to virtual reality and IoT. Key research areas include end-to-end supply chain transparency, urban logistics, cyber-physical systems, and gamification in training. His work bridges Computer Science and Business, with over 50 publications in journals like International Journal of Production Economics and Australasian Journal of Information Systems . He has led projects funded by OLT grants and industry partnerships, including the nDiVE VR training environment for Logistics education. Reiners' contributions span gamification design, virtual world pedagogy, and sustainable supply chain analytics. His current projects explore IoT adoption impacts and agricultural logistics optimization. He advises on digital ecosystems, geospatial analytics, and mental health systems in pandemic contexts.

• Supply Chain Management
• Logistics and Operations
• Decision Support Systems
• +۵ مورد دیگر

Wenzhong Huang is a Research Fellow in Planetary Health at Monash University, affiliated with the School of Public Health and Preventive Medicine. He is actively engaged in interdisciplinary research at the intersection of environmental exposures and human health, contributing to high-impact global studies on climate change, air pollution, and extreme weather events. Research Interests: His work spans planetary health, environmental epidemiology, climate change and health, air pollution (particularly PM2.5 and wildfire smoke), urban heat, greenness, and flood-related health risks. He focuses on quantifying the health burdens of environmental stressors using large-scale epidemiological and modeling approaches. Recent Research Trends: His recent publications (2023–2025) show a strong emphasis on global environmental health challenges, including the health impacts of heat, floods, wildfires, and air pollution. The studies often involve multi-country collaborations and advanced statistical modeling, published in top journals such as The Lancet Planetary Health , Nature Sustainability , and Environment International . Scientific Awards: No awards listed in the provided text. Advising and Grants: Dr. Huang serves as a Chief Investigator on research projects, including the 2022 project Global mortality burden attributable to short-term exposures to wildfire-related PM2.5 , funded by the Centre for Air Pollution, Energy and Health Research (CAR). While no formal students are listed, he collaborates extensively with leading researchers such as Yuming Guo and Shanshan Li. His work is supported by significant research grants and contributes to UN Sustainable Development Goals, particularly those related to climate action and good health. Labs and Teams: He is part of a large collaborative network, including the Multi-Country Multi-City (MCC) Collaborative Research Network, and works within research groups focused on air pollution, planetary health, and environmental epidemiology at Monash University.

• Planetary Health
• Environmental Epidemiology
• Climate Change and Health
• +۵ مورد دیگر

Zhuo Chen is an Adjunct Lecturer in the Department of Civil & Environmental Engineering at Monash University. His research focuses on sustainable urban planning, transportation engineering, and materials science, particularly in additive manufacturing and microstructural analysis. He has collaborated on projects addressing bike-friendly infrastructure, urban heat island effects, EV charging etiquette, and the development of advanced materials through novel processing techniques. Key research interests include integrating deep learning for urban infrastructure analysis, leveraging social media data for mobility studies, and optimizing additive manufacturing processes to enhance material properties. His work contributes to the UN Sustainable Development Goals, particularly in sustainable cities and communities (SDG 11) and climate action (SDG 13). Recent studies highlight trends in both transportation innovation (e.g., protected cycle lanes, EV infrastructure) and materials science (e.g., laser powder bed fusion, alloy development). His interdisciplinary approach bridges urban policy and advanced manufacturing, with applications in smart cities and nuclear materials. Zhuo Chen has been actively engaged with the Monash Suzhou Research Institute through patent collaborations, focusing on innovative manufacturing solutions. His work emphasizes empirical validation and data-driven methodologies to address real-world challenges in urban and materials engineering.

• Sustainable Urban Planning
• Transportation Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Sekhar Somenahalli is a Senior Lecturer at University of South Australia 's UniSA STEM school, affiliated with the School of Natural and Built Environments . His work spans transport planning, urban analytics, and sustainable mobility systems, with a focus on walkability, traffic modeling, and public transport optimization. Research Themes : Walkability Assessment : Developed novel metrics for measuring land-use mix and pedestrian infrastructure quality Traffic Modeling : Pioneered multi-tier frameworks like the Tactical Adelaide Model Public Transport Innovation : Investigated bus-based transit corridors and interchange efficiency Shared Mobility : Identified regulatory and infrastructural barriers to sharing economy services His recent publications analyze census-based mobility prediction, spatiotemporal traffic patterns, and socio-demographic walkability variations. Despite extensive grant funding (e.g., CRC for Low Carbon Living), no specific awards are documented in the provided materials. He supervises research students and applies GIS extensively in urban infrastructure analysis.

• Transport Planning
• Urban Analytics
• Traffic Modeling
• +۵ مورد دیگر

Dr Borrego Acevedo Rodney is a Research Fellow at the School of the Environment , University of Queensland , within the Faculty of Science. His expertise lies in marine and environmental sciences, with a focus on coral reef ecosystems and remote sensing applications. He holds a PhD in Environmental Science from the University of Queensland (2014), specializing in microphytobenthos dynamics using remote sensing technologies. His research integrates field data collection, spectral analysis, and spatial modeling to understand benthic habitats and coral reef health. Research Interests : Coral reef ecology, microphytobenthos distribution, remote sensing techniques, environmental monitoring, and geospatial data analysis. His work emphasizes global-scale coral reef habitat mapping and ecosystem conservation strategies. Publications : His work includes high-impact studies on global coral reef mapping, benthic habitat classification, and microphytobenthos abundance modeling. Key contributions involve developing methodologies for expert-derived training data in remote sensing and applying multiscale earth observation frameworks for coral reef assessment. Grants & Supervision : Available for postgraduate supervision in marine remote sensing and coral reef science. Active in collaborative projects with international research teams. Additional Contributions : Data collection on microphytobenthos composition at Heron Reef (Australia) using HPLC analysis, published via Pangaea datasets. Presented research at the IGARSS 2013 conference on coral reef spatial modeling.

• Marine Ecology
• Remote Sensing
• Coral Reef Biology
• +۳ مورد دیگر

Dr. Josh Arnold is a Senior Lecturer at the School of Electrical Engineering and Computer Science, University of Queensland, and a Research Officer in the Scott Lab at the Queensland Brain Institute. His research bridges computational neuroscience and robotics, focusing on neural computation, temporal learning, and brain-wide activity modeling in zebrafish. Bachelor (Honours) of Engineering, University of Queensland Doctor of Philosophy in Artificial Intelligence, University of Queensland Josh specializes in computational neuroscience, particularly the role of conduction delays in neural learning rules. His work spans spiking neural networks, auditory processing in zebrafish, and social behavior modeling in robots. Recent studies examine sedation effects on brain activity and neurodevelopmental disorder phenotyping in zebrafish mutants. His publications highlight applications in temporal learning, robotics, and neuroimaging. Josh is available for supervision and contributes to projects involving zebrafish models, neural plasticity, and collaborative interdisciplinary research in the Scott Lab.

• Computational Neuroscience
• Neural Networks
• Robotics
• +۵ مورد دیگر

Professor Janet Davies is a distinguished academic and researcher at Queensland University of Technology (QUT), where she serves as Professor in the School of Biomedical Sciences within the Faculty of Health. She holds several leadership positions including Head of the Allergy Research Group and Associate Dean of Research for the Faculty of Health. Previously, she served as Director of the QoVAX SET Program in Metro North Health (2021-2023) and Assistant Director of Research (2016-2021) at Metro North Health. Her academic credentials include a Doctor of Philosophy in Biological Sciences from Murdoch University and a Graduate of the Australian Institute of Company Directors (GAICD). Professor Davies has established herself as an internationally renowned expert in allergy research with over 25 years of experience in the hospital and health sector. Her research spans molecular allergen characterisation, immunity to allergens and viruses, and environmental health. She has made significant contributions to aerobiology, particularly in grass pollen research, with her work leading to the establishment of Australia's national standardized pollen monitoring and forecast network through the NHMRC AusPollen Partnership (2016-2020). Her research program integrates immunology, environmental science, and public health to address allergic respiratory diseases. The analysis of Professor Davies' recent publications reveals a consistent focus on aerobiology, allergy diagnostics, and the environmental determinants of allergic diseases. Her work demonstrates a progression from fundamental molecular allergen characterisation to applied public health solutions, including the development of diagnostic tools and national monitoring systems. Notably, her research increasingly addresses the intersection of climate change, urbanization, and allergic disease patterns, reflecting the evolving challenges in environmental health. Project Steering Committee for Victorian Department of Health and Human Services and Bureau of Meteorology Thunderstorm Asthma Pollen Forecasting Service (2017) EAACI Task Force on Component Resolved Diagnostics (2015) Co-author of chapters in EAACI Handbook of Molecular Allergology (2015) Contributing author to Global Atlas of Allergy (2014) Professor Davies has secured significant research funding including National Health and Medical Research Council grants, Australian Research Council Discovery grants, and ARC Linkage projects. Her research partnerships span global leaders in allergy diagnosis (ThermoFisher Scientific, Sweden), Abionic Switzerland, Stallergenes Greer (France), Sullivan Nicolaides Pathology, and Abacus dx. She currently serves as Discovery and Biorepository Pillar Lead and co-chair of the Respiratory Research Stream for the National Allergy Centre of Excellence. Her supervisory portfolio includes PhD candidates investigating the public health impacts of grass pollen exposures. Professor Davies leads the Allergy Research Group at QUT and has been instrumental in establishing the Australian Aerobiology Working Group (2013) and the wider AusPollen Aeroallergen Collaboration Network. Her work bridges academic research, clinical application, and public health policy, with significant contributions to the WHO IUIS Allergen Nomenclature Committee (2016-2021) and the Commonwealth Parliamentary Inquiry on Allergy and Anaphylaxis (2020).

• Allergy Research
• Aerobiology
• Immunology
• +۴ مورد دیگر

Associate Professor Sanjeeva Balasuriya is affiliated with the School of Computer and Mathematical Sciences at the University of Adelaide, within the Faculty of Sciences, Engineering and Technology. His research focuses on fluid dynamics, dynamical systems, uncertainty quantification, and mathematical biology. He has contributed to studies on Lagrangian coherent structures, stochastic sensitivity in flows, and biofilm expansion modeling. His work bridges applied mathematics with real-world phenomena, including environmental modeling and turbulence analysis. Recent publications explore topics like stochastic differential equations, optimal vector field reconstruction, and flow control strategies. He is eligible to supervise PhD and Master’s students in these areas. His research emphasizes interdisciplinary applications of mathematical techniques to complex fluid systems and nonlinear dynamics.

• Fluid Dynamics
• Dynamical Systems
• Uncertainty Quantification
• +۳ مورد دیگر