جست‌وجوی استاد و پژوهشگر

Farha Sattarمشاهده پروفایل

مدرس

• Mathematics Education
• Geoscience Education
• STEM Education
• +۱۱ مورد دیگر

Dr. Farha Sattar is a Lecturer in Education (Mathematics) at the Faculty of Arts and Society, Charles Darwin University. With over thirty years of teaching experience in Mathematics, Science education, GIS, Remote Sensing, and e-Learning technologies at undergraduate and postgraduate levels, Dr. Sattar brings extensive expertise to her academic role. She holds a PhD in Geospatial Science from Charles Darwin University, focusing on Spatial Mathematical Modelling for 3D Gully Mapping and Erosion Quantification. Her educational background includes: PhD in Geospatial Science (Three Dimensional Gully Mapping and Erosion Quantification within a Geoinformatics Framework), Charles Darwin University (2012) Prior academic experience at several Asian and European universities Dr. Sattar's research spans multiple interdisciplinary fields with a strong focus on the intersection of education and technology. Her primary research interests include Mathematics Education, STEM Education, Geoscience Education, Spatial Mathematical Modelling, Drone Technology, Remote Sensing, Geographic Information Systems, and Innovative Pedagogies such as experiential learning and inquiry-based approaches. She has developed expertise in cognitive development, particularly in fostering critical and creative thinking skills through iSTEM approaches. An analysis of Dr. Sattar's recent publications reveals a consistent trajectory toward integrating emerging technologies like drones, augmented reality, and geospatial artificial intelligence into educational contexts. Her work demonstrates a progression from foundational geospatial research on erosion mapping to innovative applications in STEM education. Recent publications increasingly focus on drone technology for educational purposes, spatial data infrastructure for policy development, and computational thinking development through technology-enhanced learning. Dr. Sattar has received numerous accolades for her contributions to education and research: NT Science Week Awards – Inspired NT STEM Hero of the Year award (2021) Long Service Recognition Award (2023) Finalist, CDU Alumni Award (2023) Multiple Best Presentation Awards (2008, 2010, 2017) Australian College of Educators - 2021 College Medal Nominee As a supervisor, Dr. Sattar mentors postgraduate research students including Ayesha Farhan, who is working on "A Framework for Cognitive Development: Fostering Critical and Creative Thinking Skills, Using iSTEM Approach." She actively secures research funding through various projects such as "DBELaSTEM: Drone-Based Experiential Learning and STEM Education," "STEM_D & VR: Youth STEM Learning and Empowerment with Drones and VR," and "CodProg Drone Lab." Her research is supported by grants from NT Government projects and other external funding sources. Dr. Sattar leads the CodProg Drone Lab, an innovative research space exploring drone technology applications in education. She is a certified drone pilot and aeronautical radio operator, which enables her to bridge theoretical knowledge with practical applications. Her work with the "Flying Forward: Drones, STEM Equity, and Indigenous Empowerment" initiative demonstrates her commitment to community engagement and addressing educational disparities through technology.

Jiwon Kimمشاهده پروفایل

دانشیار

• Transport Engineering
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Associate Professor Jiwon Kim is a leading researcher in Transport Engineering at the University of Queensland's School of Civil Engineering. She serves as Director of Higher Degree by Research and was a DECRA Fellow from 2019-2022. Holding degrees from Korea University and Northwestern University, she specializes in AI/ML applications for transportation systems. PhD, Northwestern University BS & MS, Korea University Her research focuses on Artificial Intelligence and Machine Learning applications in transportation, including: Deep learning for traffic management Reinforcement learning in mixed traffic environments Multi-agent systems for urban mobility optimization Spatiotemporal trajectory analysis Recent publications demonstrate expertise in: Eco-driving strategies Traffic incident prediction Queue length estimation Crash risk modeling Scientific recognition includes: ARC DECRA Fellowship (2019-2022) She supervises doctoral students in: Transportation data analytics Autonomous vehicle systems Intelligent traffic management Current projects explore real-time traffic monitoring, synthetic mobility data generation, and connected vehicle technologies.

SangHyung Ahnمشاهده پروفایل

مدرس

• Construction Process Modelling
• Building Information Modelling (BIM)
• Agent-Based Simulation
• +۳ مورد دیگر

SangHyung Ahn is a Lecturer at the School of Civil Engineering , University of Queensland (UQ), since 2017. He joined UQ as a postdoctoral research fellow in 2015 after earning his PhD in Civil Engineering (Construction Engineering and Management) from Purdue University, USA. Prior to his academic career, he worked as an assistant manager at Hyundai Engineering and Construction Co., Ltd. (2003-2007) and holds an MBA in international business from Hanyang University and a B.Sc in Civil Engineering from Korea University. Research Focus: Construction process modelling with virtual reality, decision support systems for construction, automation of data-driven simulation modelling, sensor-based operations analysis, and integration of Building Information Modelling (BIM). Teaching: Coordinates undergraduate courses Introduction to Project Management (CIVL3510) and Construction Engineering Management (CIVL4522) . Research Trends: His recent publications highlight interdisciplinary work in transportation engineering, structural design, and AI-driven simulation tools. Key themes include application of machine learning to car-following models, drone-based vehicle identification, and optimization of public transport systems using agent-based simulations. Supervision: Available for supervision, with completed supervision of PhD and Master’s theses on topics such as BIM-LCA integration, pedestrian trajectory analysis, and AI-driven driving behavior models.

Huadong Moمشاهده پروفایل

مدرس ارشد

• Power and energy systems
• Cyber-physical systems
• Manufacturing systems
• +۶ مورد دیگر

Dr. Huadong Mo is a Senior Lecturer at the School of Systems and Computing, University of New South Wales (UNSW) Canberra, Australia. He holds a B.E. degree in automation from the University of Science and Technology of China (2012) and a Ph.D. in systems engineering and engineering management from the City University of Hong Kong (2016). Prior to his current position, he was a research associate at ETH Zurich's Reliability and Risk Engineering Lab (2016-2019) and a Lecturer at UNSW Canberra (2019-2021). Dr. Mo's educational background includes a strong foundation in systems engineering with international experience across China, Switzerland, and Australia. His career trajectory demonstrates a progression from academic research to faculty positions with increasing responsibilities in teaching and research leadership. His research focuses on enhancing the resilience, performance, and security of complex systems using learning-based algorithms, primarily in power and energy systems, cyber-physical systems, and manufacturing systems. He applies data analytics to understand system evolution under uncertainties, with particular emphasis on prognostics and health management, sustainable transportation, robust operation of power systems under extreme events, and reinforcement learning-based asset management. His work bridges theoretical advances with practical applications in critical infrastructure. Analysis of Dr. Mo's recent publications reveals a strong focus on energy systems, particularly in the integration of machine learning with power grid management, battery storage systems, and resilience against cyber threats. His research shows a clear trajectory toward increasingly complex system integration, with growing emphasis on multi-vector energy communities, cross-domain prediction, and uncertainty-aware energy management. The interdisciplinary nature of his work spans electrical engineering, computer science, and operations research. 2024 IEEE SMC Early Career Award 2023 Visiting Research Fellowship (Jean d'Alembert Pour Fellowship) Gold Medal in 2024 China International College Student Innovation Competition (as supervisor) Arc PGC Supervisor Award (2021) IEEE SMC Outstanding Chapter Award (2021) Alumni Achievement Award from City University of Hong Kong (2019) Dr. Mo actively supervises numerous HDR students working on cutting-edge research topics including battery health monitoring, quantum control, reinforcement learning for power systems, and explainable AI for energy management. He leads multiple significant research grants totaling over 3 million AUD, including projects funded by ARC, Energy Innovation Fund, and international collaborations with institutions like ETH Zurich, Cambridge, and Tsinghua University. His research group maintains strong international connections, facilitating student exchanges and collaborative research. As Postgraduate Course Coordinator of Systems Engineering and Chair of IEEE SMC ACT Chapter, Dr. Mo plays a significant role in academic leadership and professional community building. His research team collaborates with industry partners on practical implementations of their theoretical work, particularly in the energy sector.

Monica Tatascioreمشاهده پروفایل

پژوهشگر ارشد

• Human Factors
• Cognitive Psychology
• Organizational Psychology
• +۳ مورد دیگر

Monica Tatasciore serves as an Honorary Research Fellow, Casual Teaching staff member, and Multi-Discipline Research Fellow at the School of Psychological Science, University of Western Australia. As an Early Career Researcher in the Human Factors and Applied Cognition laboratory, she focuses on optimizing human-automation systems in high-stakes environments like air traffic control and uninhabited vehicle operations. Her academic credentials include: Doctor of Philosophy from The University of Western Australia (2018-2021) Master of Industrial and Organisational Psychology from The University of Western Australia (2018-2020) Bachelor of Science (First Class Honours) in Psychology (2015) Dr. Tatasciore's research examines critical intersections of human cognition and automation, specifically investigating how transparency in decision aids affects operator trust, situation awareness, and workload under time pressure. Her work addresses fundamental questions about automation failure recovery and individual differences in attention control during human-machine collaboration. Analysis of her 2024-2025 publications reveals a cohesive research trajectory centered on human-automation interaction, with strong methodological emphasis on experimental paradigms from cognitive psychology and applied ergonomics. These works consistently address defense-relevant applications while advancing theoretical understanding of trust calibration mechanisms. She has supervised one graduate student and actively contributes to defense-related research through the Human Factors and Applied Cognition lab, where her team develops evidence-based frameworks for automation design in safety-critical systems.

• Anthrozoology
• Human-Animal Relationships
• Companion Animal Psychology
• +۴ مورد دیگر

Professor Pauleen Bennett is a leading scholar in Anthrozoology at La Trobe University's Bendigo campus, serving in the Department of Psychology, Counseling and Therapy within the College of Science, Health and Engineering since 2018. Her research program centers on human-companion animal relationships, particularly focusing on the psychological dimensions of human-dog bonds, veterinary wellbeing, and child-pet interactions. Her research interests span Anthrozoology , Human-Animal Relationships , and Companion Animal Psychology , with particular emphasis on dog behavior, veterinary burnout, and the therapeutic applications of human-animal bonds. Bennett leads the Anthrozoology Research Group (www.anthrozoologyresearchgroup.com) and has made significant contributions to understanding how animals impact human mental health across diverse contexts from farms to universities. Analysis of her recent publications reveals three dominant research trajectories: (1) human-animal relationship measurement tools development, (2) veterinary workplace wellbeing challenges, and (3) practical applications of human-animal bonds in agricultural, educational, and healthcare settings. Her work consistently bridges theoretical psychology with practical animal welfare applications. Bennett previously served as Associate Editor for Anthrozoos and on the board of the International Society for Anthrozoology. She co-supervises higher degree students across multiple Australian universities and maintains active community engagement through the Anthrozoology Research Group. Her funded research includes the Wildlife Victoria Inc Mental Health and Wellbeing Review (2021-2024), which developed recommended good practice guidelines for wildlife volunteer support programs. Bennett also serves as a consultant on human-animal interaction projects, translating academic research into practical community applications. Bennett maintains a productive research laboratory focused on human-animal interactions, with current projects examining puppy socialization practices, veterinary technician burnout, and the psychological benefits of animal-assisted interventions in university settings. Her Bendigo-based laboratory operates in close collaboration with Australian farms, veterinary clinics, and community organizations.

• Human Factors
• Cybersecurity
• Cognitive Science
• +۶ مورد دیگر

Dr. Oliver Guidetti serves as a Level A Lecturer in Psychology at the University of Wollongong, specializing in human factors, cyber vigilance, and applied cognitive science. His interdisciplinary research bridges psychology, cybersecurity, and artificial intelligence to address critical challenges in human-machine collaboration and security operations environments. His educational foundation includes: Bachelor of Mathematics from Edith Cowan University (2011-2014) Bachelor of Science in Psychology from Edith Cowan University (2011-2014) Bachelor of Science (Psychology Honours) from Edith Cowan University (2015) Doctor of Philosophy from Edith Cowan University (2019-2022) Guidetti's research centers on the cognitive and physiological dimensions of human performance in security contexts. He investigates how eye-tracking, biometric monitoring, and neuroergonomic approaches can optimize vigilance in cybersecurity operations, while exploring socio-technical impacts of AI on human decision-making. His work extends to digital relationship literacy and AI bias mitigation, demonstrating applications across defense, healthcare, and industrial settings through collaborations with the Department of Home Affairs and Western Australian Cyber Defence Taskforce. His 2023-2024 publications reveal a cohesive research trajectory focused on cyber vigilance task design, human-AI teaming frameworks, and neuroergonomic validation methods. The corpus shows increasing integration of biometric data with cognitive theory to develop real-time performance assessment tools, alongside growing attention to ethical AI governance and cross-sector resilience in critical infrastructure protection. As an educator, Guidetti supervises Honours and PhD students in human factors and AI-driven research while teaching psychology research methods and cybersecurity applications. He co-developed an Australian Psychological Society-certified professional development course for psychologists entering cybersecurity fields, demonstrating his commitment to translating research into industry practice. His professional leadership includes advising on cyber vigilance frameworks, developing AI bias mitigation strategies, and serving on APS committees focused on digital psychology applications. Current projects involve designing AI-driven dating simulators for relationship literacy interventions and creating certified training programs for security operations personnel.

Matt Garrattمشاهده پروفایل

استاد

• Robotics
• Swarm Robotics
• Unmanned Aerial Vehicles
• +۵ مورد دیگر

Professor Matt Garratt is a faculty member at the University of New South Wales (UNSW Canberra), School of Engineering and IT, serving as AI theme lead for the Defence Trailblazer Universities initiative with over $200 million in funding. His primary research focuses on sensing, guidance, and control for autonomous systems within robotics and unmanned aerial vehicles. Garratt's research spans robotics, swarm intelligence, and autonomous systems with emphasis on bio-inspired navigation techniques and adaptive flight control. His work addresses critical challenges including terrain following using vision systems, landing UAVs on moving platforms, and developing self-organizing swarms. He integrates artificial intelligence, computer vision, and machine learning to advance unmanned systems capabilities in complex environments. Analysis of his recent publications reveals strong trends in bio-inspired UAV navigation (particularly honeybee behavior modeling) and swarm robotics applications. His work increasingly incorporates deep learning for perception tasks while addressing real-world challenges like gas plume detection and adversarial robustness in 3D vision systems. The research demonstrates consistent progression toward practical implementation of autonomous systems in dynamic environments. Professor Garratt has secured over $7.7 million in external research funding as Chief Investigator on 33 grants. He actively mentors graduate students with scholarships available for Masters and PhD research in robotics and AI, focusing on: UAV path planning and adaptive control systems Swarm robotics collective motion optimization Bio-inspired autonomous navigation techniques Computer vision for robotic perception He co-founded the UNSW Canberra AIR (AI and Robotics) Group (AIR Lab), which drives research in trusted autonomy, swarm intelligence, and AI integration for defense applications. The lab develops practical solutions for autonomous systems operating in complex, real-world environments while maintaining ethical AI frameworks.

Liz Ratnamمشاهده پروفایل

دانشیار

• Control of Power Systems
• Optimization of Energy Systems
• Secure and Resilient Power Grids
• +۳ مورد دیگر

Associate Professor Liz Ratnam is a leading academic in the Department of Electrical and Computer Systems Engineering at Monash University, serving as Deputy Postgraduate Director of Education ECSE. Her expertise spans power systems control, energy optimization, and resilient grid design. She holds a BEng (Hons I) and PhD in Electrical Engineering from the University of Newcastle (2006 and 2016), with postdoctoral research at UC San Diego and Berkeley. She previously served as Senior Lecturer and Sub-Dean for Educational Programs at ANU's College of Engineering & Computer Science, supported by a Future Engineering Research Leader (FERL) Fellowship. Her current research focuses on advancing transactive energy markets, EV coordination in distribution networks, and secure grid operations. She leads major grants including the National Facility for Electricity Grid Security (ARC LIEF 2023) and projects on EV fast-charging infrastructure. Education Background: - BEng (Hons I) in Electrical Engineering, University of Newcastle (2006) - PhD in Electrical Engineering, University of Newcastle (2016) Research Interests: Resilient, carbon-neutral power grid design Control and optimization of energy systems Synchrophasor-based estimation for grid stability Transactive multi-agent systems for energy markets Electric vehicle integration and coordination in unbalanced grids Grants & Projects: ARC Linkage Infrastructure Grant LE23010058 (2023): National Facility for Electricity Grid Security ARC Discovery Project DP22010135 (2022): Neural Architecture Search for Deep Learning ARC Linkage Project LP21200473 (2022): Building Australia's EV Fast-Charging Infrastructure Awards & Memberships: Fellow of Engineers Australia Senior Member of IEEE FERL Fellowship (ANU)

• Belt Conveyor Systems
• Bulk Solids Handling
• Energy Efficiency in Material Transportation
• +۵ مورد دیگر

Professor Craig Wheeler is a distinguished academic in the School of Engineering at the University of Newcastle, specializing in Mechanical Engineering with a focus on bulk solids handling and belt conveyor technology. As Associate Director of the Centre for Bulk Solids and Particulate Technologies and Deputy Chairman for the Australian Society for Bulk Solid Handling, he has established the university as a global leader in fundamental and applied research within this field. Wheeler's research interests primarily center on reducing the energy intensity and environmental impact of ore and mineral transportation globally. His work develops novel theoretical approaches to model and optimize belt conveyor and bulk handling systems, with significant contributions in energy-efficient transportation, dust emission control, and innovative conveying technologies like the Rail Conveyor system. His research bridges fundamental computational techniques with practical industrial applications, addressing real-world challenges in bulk material handling. His extensive publication record demonstrates trends toward increasingly sophisticated modeling techniques, combining continuum mechanics, discrete element methods, and computational fluid dynamics to solve complex problems in bulk material flow and energy consumption. Recent work shows particular emphasis on large-diameter idler rollers for energy savings, rail-running conveyor systems, and advanced dust control methodologies. 2023 Engineers Australia - Australian Society for Bulk Solids Handling 2017 Significant Contributions to Engineers Australia's Warman Design and Build Competition (Weir Minerals) 2017 Australian Council of Engineering Deans National Award for Engineering Education Excellence 2016 Innovative Technology Award (Australian Bulk Handling) 2010 Rising Star Award (Newcastle Innovation, The University of Newcastle) 2009 Pro-Vice Chancellor's Award for Research Excellence 2006 Best Research and Development Project (Australian Bulk Handling Review) 2000 A.W. Roberts Award (Australian Society for Bulk Solids Handling) Professor Wheeler has successfully led numerous Linkage Projects with major companies including Rio Tinto, Veyance Technologies, and Laing O'Rourke, securing significant cash and in-kind contributions for research projects. His industrial consulting experience, built on a 10-year engineering career with BHP, provides valuable insights that bridge fundamental research with practical applications. He actively supervises research students and contributes to professional development courses both within Australia and internationally. As a key member of the Centre for Bulk Solids and Particulate Technologies in association with TUNRA Bulk Solids, Wheeler leads research teams focused on developing eco-friendly conveying solutions. His work has resulted in new licensed technologies, internationally recognized testing methods, design guidelines, and Australian Standards that have transformed industry practices worldwide.

• Cybersecurity
• Data Security and Privacy
• Context-Aware Access Control
• +۵ مورد دیگر

Dr ASM Kayes serves as Senior Lecturer in Cybersecurity and Cyber Curriculum Lead at La Trobe University's Department of Computer Science and Information Technology, where he shapes cybersecurity education programs including Master's, Bachelor's, and Double Degrees. His academic journey began with a PhD from Swinburne University of Technology in 2015, followed by postdoctoral research at La Trobe before joining as Lecturer in 2019 and promotion to Senior Lecturer in 2022. His research spans critical cybersecurity domains including data security, privacy preservation, context-aware access control, malware/ransomware defense, and IoT/fog/cloud security leveraging AI/ML techniques. Dr Kayes has established himself as a leading voice in blockchain security frameworks, privacy policy analysis, and cyber incident response through publications in top-tier venues like ACM Computing Surveys, IEEE Internet of Things Journal, and Computers & Security. His recent publications reveal a strong trajectory toward integrating AI with traditional security frameworks, particularly in blockchain risk assessment (2025), cross-domain access control (2025), and IoT behavior prediction (2024). The research demonstrates consistent focus on practical security solutions addressing ransomware mitigation, privacy breaches, and emerging threats in decentralized systems. Over $880,000 secured as Chief Investigator for cybersecurity projects Australian Government Department of Social Services grant (2023-2026) for cyberbullying prevention AustCyber research funds with industry partners (2020-2023) SmartSat CRC and ASCRIN PhD scholarship grants (2021) Dr Kayes has successfully supervised 5 PhD candidates to completion and currently mentors 5 doctoral students across diverse topics including AI-driven threat hunting, satellite network security, and blockchain risk frameworks. His collaborative network spans UK, USA, Europe, and Asia, with active industry partnerships through Westpac, BHP, and Quantum Victoria. He serves on editorial boards for leading cybersecurity journals and has examined HDR dissertations globally, reflecting his significant standing in the academic community.

• Applied Econometrics
• Energy Economics
• Energy Demand
• +۵ مورد دیگر

Raymond LI is an Associate Professor of Economics in the Faculty of Business, Government and Law at the University of Canberra, having joined in 2019 after faculty positions at Hong Kong Polytechnic University and Macquarie University. His academic foundation includes a Bachelor of Economics (Honours) and Ph.D. in Economics from Macquarie University. His educational background includes: Bachelor of Economics (Honours) from Macquarie University Ph.D. in Economics from Macquarie University LI's research centers on applied econometrics and energy economics , with specialized focus on energy demand modeling, pricing mechanisms, and market integration studies. His work examines renewable energy dynamics in Texas and U.S. electricity markets while addressing climate change adaptation through the Climate Change Adaptation Resilience and Recovery Network, directly contributing to UN Sustainable Development Goals for affordable clean energy and climate action. Recent publications (2024-2025) reveal a concentrated research trajectory analyzing solar/wind energy economics, electricity procurement strategies, and outage cost estimation. This body of work demonstrates consistent methodological rigor in energy econometrics with practical policy implications for renewable energy integration and market design. LI actively mentors PhD students and serves as Co-Investigator on the active project Retail Investor Outcomes in Spot Crypto Markets (2025-2026), examining cryptocurrency investor behavior and market impacts. His research has received consistent institutional support across multiple funding cycles. As a member of the Climate Change Adaptation Resilience and Recovery Network, LI participates in interdisciplinary teams addressing energy transition challenges through empirical economic analysis and policy-oriented research.

Elias Aboutaniosمشاهده پروفایل

استاد

• Signal and Image Processing
• Parameter Estimation
• Signal Detection
• +۱۳ مورد دیگر

Professor Elias Aboutanios is a distinguished academic at the University of New South Wales (UNSW), serving as Professor in the School of Electrical Engineering and Telecommunications. With a career spanning over two decades in academia and research, he has established himself as a leading expert in signal processing, radar systems, satellite technology, and NMR spectroscopy. Professor Aboutanios earned his BE in Electrical Engineering from UNSW in 1997 and completed his PhD from UTS in 2002, with research focused on frequency estimation for communications with low earth orbit satellites. Following his doctoral studies, he conducted postdoctoral research at the Institute for Digital Communications at the University of Edinburgh from 2003 to 2007, specializing in space-time adaptive processing for radar target detection. He joined UNSW as a senior lecturer in 2007, was promoted to associate professor in 2019, and achieved the rank of Professor in 2022. His research interests span a broad spectrum of signal processing domains including signal and image processing, parameter estimation, array signal processing, statistical signal processing, positioning and localization, radar and sonar signal processing, NMR signal processing, and space systems. Professor Aboutanios has developed significant expertise in nuclear magnetic resonance spectroscopy, global navigation satellite systems, radar target detection, biologically inspired signal processing, power systems and smart grids, and theoretical signal processing. His work bridges theoretical foundations with practical applications across multiple engineering disciplines. Professor Aboutanios's recent publications demonstrate a strong focus on integrated sensing and communication systems, radar technology, satellite applications, and advanced signal processing techniques. His research shows a clear trajectory toward dual-function radar-communication systems, massive MIMO architectures, CubeSat technology for air traffic monitoring, and innovative approaches to NMR spectroscopy. His work consistently addresses challenging problems in signal parameter estimation, adaptive processing, and system design across multiple application domains. Professor Aboutanios has made significant contributions to engineering education, having developed new courses in electrical engineering design and established the master's program in satellite systems engineering. His educational innovations focus on teaching signal processing through frequent and diverse design experiences, enhancing student learning outcomes in technical subjects. He has led significant space projects including UNSW's involvement in the European QB50 project and the UNSW-EC0 satellite mission, which successfully launched in 2017. As a member of the Space Industry Association of Australia's Legislation Working Group, he has contributed to shaping space policy through multiple submissions to the Australian Government's review of the Space Activities Act.

• Biomechanics
• Diabetes and high risk foot management
• Peripheral vascular disease
• +۷ مورد دیگر

Viv Chuter is an Honorary Professor in the School of Health Sciences at the University of Newcastle, specializing in Podiatry. With over 10 years of clinical experience in the private and public sectors across Victoria, Tasmania, and New South Wales prior to academia, she has made significant contributions to podiatric education and research. She played a key role in developing and establishing the undergraduate Bachelor of Podiatry program, which has received multiple university and national awards for teaching excellence. Professor Chuter's research focuses on diagnosis and treatment of musculoskeletal and vascular pathology of the lower extremity, including lower extremity biomechanical function and injury management, foot function and back pain, and biomechanical and vascular function in people with diabetes. Her expertise spans three-dimensional gait analysis, electromyography, plantar pressure analysis, musculoskeletal assessment and rehabilitation, and lower extremity vascular assessment. Her work has particular relevance to diabetes and the high-risk foot, addressing critical issues in diabetic foot complications and vascular assessment. Her recent publications demonstrate consistent research activity in diabetic foot complications, vascular assessment in diabetes, and biomechanics. She has contributed significantly to international guidelines on diabetes-related foot disease and has explored innovative approaches to foot care for Aboriginal and Torres Strait Islander Peoples. Her work shows a clear trajectory toward improving clinical assessment methods, developing evidence-based guidelines, and addressing health disparities in foot care. Scientific Awards: University of Newcastle Work Integrated Staff Member of the Year Award Vice Chancellors Award for Teaching and Learning Support Office of Teaching and Learning Citation for Outstanding Contributions to Student Learning 2015 Roche Best Oral Presentation Award ADS/ADEA Annual Scientific Meeting 2014 Faculty of Health and Medicine Indigenous Collaboration Award 2013 Office of Learning and Teaching Citation for Outstanding Contribution to Student Learning 2012 Vice-Chancellors Award 2011 Community Engagement Award 2010 University of Newcastle Work Integrated Learning Award Professor Chuter has attracted competitive and industry funding for her research and currently supervises multiple PhD and Honours students across her research areas. She is affiliated with the Hunter Medical Research Institute and collaborates with researchers from the Australian Catholic University and the University of Sydney. Her work bridges clinical practice, education, and research, with a strong emphasis on translating evidence into improved patient outcomes, particularly for vulnerable populations including people with diabetes and Indigenous communities.

Anna Zinnمشاهده پروفایل

پژوهشگر ارشد

• Tourism Management
• Environmental Psychology
• Social Identity Theory
• +۳ مورد دیگر

Dr. Anna Zinn is a Postdoctoral Research Fellow at the School of Business, Faculty of Business, Economics and Law, The University of Queensland, specializing in social identity applications for sustainable tourism and hospitality behavior change. Education: Doctor of Philosophy in Psychology, University of Exeter Masters (Coursework) of Research Psychology, University of Exeter Her research centers on environmental psychology and social identity theory , with pioneering work on reducing buffet waste, promoting towel reuse through anthropomorphism, and optimizing hotel sustainability practices. She employs computational-linguistic methods, experimental designs, and field studies to develop practical interventions that balance environmental goals with guest satisfaction in tourism contexts. Analysis of her 14 publications (2021-2025) reveals a consistent trajectory toward interdisciplinary solutions for sustainable tourism, integrating psychology, hospitality management, and environmental science. Key trends include leveraging social identity salience for pro-environmental behavior, refining pre-testing protocols for field interventions, and addressing implementation challenges in real-world hospitality settings. Dr. Zinn actively collaborates with Professor Sara Dolnicar's research group and has served as Principal Advisor for one PhD project ('Using Gamification to Inspire Sustainable Tourist Behaviour') and Associate Advisor for three others. Current funding includes an ARC Discovery Project (2025-2028) on behavior change mechanisms and an Energy Queensland grant (2024-2025) for electricity usage segmentation.