جست‌وجوی استاد و پژوهشگر

Hamish Campbellمشاهده پروفایل

استاد

• Environmental Science
• Spatial Science
• Autonomous Systems
• +۳ مورد دیگر

Hamish Campbell is a Professor of Spatial Science and Associate Dean of Research, Innovation, and Research Training at Charles Darwin University (CDU), leading the Faculty of Science and Technology. He directs the North Australia Centre for Autonomous Systems (NACAS), focusing on applying autonomous technologies to environmental and societal challenges in Northern Australia. His research integrates novel technologies like Remotely Piloted Aircraft Systems (RPAS) to address ecological monitoring, wildlife conservation, and infrastructure logistics. He leads projects on crocodile ecology, freshwater turtle conservation, and the use of drones for healthcare delivery in remote regions. Professor Campbell has received the CDU Vice-Chancellor's Prize for Exceptional Performance in Research (2019) and supervises HDR students in areas including animal biotelemetry and drone applications. His work spans collaborations with industry and government to enhance environmental management and reduce remoteness challenges. He actively leads initiatives such as assessing flood impacts on freshwater turtles and evaluating autonomous systems in supply chains. Key research interests include spatial science, conservation biology, and the development of technologies for remote area surveillance. His lab, The Movement and Landscape Ecology Lab, emphasizes interdisciplinary approaches to solving complex environmental problems. He is a core member of projects like the ecological impact of large carnivore restoration and crocodile-human interaction studies. Notable contributions include studies on crocodile thermoregulation, Gouldian finch foraging behavior, and the use of drones for healthcare logistics in Indigenous communities. His research bridges theoretical ecology with applied solutions, fostering innovation in autonomous systems and conservation strategies.

Sittimont Kanjanabootraمشاهده پروفایل

مدرس ارشد

• Construction Management
• Knowledge Management Systems
• Building Information Modelling
• +۶ مورد دیگر

Dr. Sittimont Kanjanabootra is a Senior Lecturer in Construction Management (Building) at the School of Architecture and Built Environment, University of Newcastle, Australia. With a background as a practicing Design Mechanical and Construction Engineer, he brings practical industry experience to his academic role, having worked on diverse projects including high-rise apartment complexes, warehouses, shopping centers, and hotel renovations. His research focuses on addressing persistent challenges in the construction industry through innovative technological solutions. Dr. Kanjanabootra holds a Doctor of Philosophy from Royal Melbourne Institute of Technology, where his thesis on engineering knowledge management systems was nominated for the Australian Professors Award for most outstanding thesis. His educational background also includes a Bachelor of Science (Technical Education - Mechanical Engineering) and a Master of Science (Technical Education - Mechanical Technology), both from King Mongkut's Institute of Technology in Thailand. His research interests span Ontologies of Construction Knowledge, Effectiveness of Information and Knowledge Sharing in Construction Projects, Improved Design and Domain Knowledge Sharing in Construction, Construction Management in Asia, Off-Site Manufacturing in Construction, and Construction Knowledge Management Systems. He applies methodologies such as big data applications, ontological analysis, and knowledge management best practices to solve industry problems like design errors, time delays, and cost overruns. His work bridges the gap between academic research and practical industry application, with a focus on creating tangible improvements in construction processes. Analysis of Dr. Kanjanabootra's recent publications reveals a strong focus on applying digital technologies to construction challenges, particularly big data analytics and knowledge management systems. His work increasingly addresses sustainability concerns in construction, including building component reuse, energy efficiency in educational buildings, and urban village development. The research demonstrates a clear progression from theoretical knowledge management frameworks to practical applications in real-world construction settings, with growing international collaboration evident in recent publications. Thesis nominated for the Australian Professors Award for most outstanding thesis Recipient of multiple research grants totaling $1,426,859 across 16 projects Lead researcher on Department of Foreign Affairs and Trade funded projects including Disaster Resilience Education Capacity Building in Latin America Dr. Kanjanabootra has successfully supervised 8 PhD students to completion and currently mentors 4 additional doctoral candidates. His research has attracted significant funding, including a $620,000 grant from Hansen Yuncken Pty Ltd for studying safety behavior in construction professionals and a $364,096 Department of Foreign Affairs and Trade grant for Resilient Water Solutions for Coastal Communities. His collaborative approach is evident in projects spanning multiple countries and disciplines, particularly in disaster resilience and sustainable construction practices. Dr. Kanjanabootra leads and participates in interdisciplinary research teams focused on construction innovation, including collaborations with international partners from Latin America, Asia, and Europe. His work with the Applied Informatics Research Group demonstrates his commitment to developing practical technological solutions for industry challenges, particularly in knowledge management and process optimization within construction environments.

• Higher Education
• Curriculum Design
• Design Education
• +۵ مورد دیگر

Deanna Meth is an Associate Professor at Queensland University of Technology (QUT), affiliated with the Faculty of Creative Industries, Education & Social Justice and the School of Design. With a PhD from the University of Sheffield (2016), her academic career has focused on transformative approaches to higher education, particularly in design disciplines. Her educational background includes: PhD in Higher Education from University of Sheffield (2016) with thesis titled 'Questioning the machine: Academics' perceptions of tensions and trade-offs in undergraduate education at one English university' Meth's research explores the complex tensions in undergraduate education through frameworks like Clark's triangle, while developing innovative conceptual models for 'real-world learning' that move beyond traditional employability discourse. She has pioneered the QUT Course Design Studio approach, transforming student-staff partnerships from spaces of 'venting' to legitimate academic decision-making processes. Her critical examination of educational quality as potentially an 'illusion' with hidden trade-offs represents a significant theoretical contribution to the field. In design education specifically, her work on developing twenty-first century design professionals through impactful curricula integrates sustainability, social responsibility, and industry relevance in novel ways. Her publication trajectory reveals a strong evolution toward transdisciplinary educational approaches, culminating in her co-edited 2023 volume 'Contemporary Design Education in Australia: Creating Transdisciplinary Futures.' This work, along with her research on 'Impact Labs,' demonstrates how design education can create meaningful real-world learning experiences that prepare students for complex professional challenges. Her conceptual framing of undergraduate education as 'regulated play' offers a fresh perspective on quality assurance frameworks. Meth's influence extends beyond academia into policy development, as evidenced by her 2024 submission to the Australian Joint Standing Committee on Electoral Matters regarding civics education. Her research has garnered significant citation counts, with several publications receiving over 100 citations, demonstrating substantial impact in higher education and design education fields. She maintains active collaborations with colleagues across QUT and internationally, particularly with Lisa Scharoun, Dean Brough, and Claire Brophy, working on projects that bridge educational theory, design practice, and institutional policy. Her current research continues to address the evolving challenges of preparing students for professional practice in increasingly complex and interconnected fields.

Peyman Mostaghimiمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Pore-Scale Modeling
• Multiphase Flow in Porous Media
• +۷ مورد دیگر

Professor Peyman Mostaghimi is a Professor of Minerals and Energy Resources at the University of New South Wales (UNSW) Sydney within the Faculty of Engineering, School of Civil and Environmental Engineering. He joined UNSW in 2014 after completing postdoctoral research at Imperial College London, where he focused on multiphase flow and transport in porous media. Professor Mostaghimi earned his PhD from Imperial College London and holds an MSc in Mechanical Engineering with specialization in Fluid Mechanics along with dual BSc degrees in Mechanical and Chemical (Reservoir) Engineering from Sharif University of Technology. His educational background has provided a strong foundation for his interdisciplinary research at the intersection of engineering, geoscience, and computational methods. His research spans computational fluid dynamics, natural gas extraction, subsurface reservoir simulation, pore-scale modeling of displacement processes, and flow and transport in porous media with applications to energy extraction, mineral recovery, subsurface hydrology, and environmental studies. Mostaghimi's work integrates advanced computational techniques with experimental validation to address complex challenges in subsurface resource management. He has pioneered approaches combining machine learning with traditional numerical methods to enhance the accuracy and efficiency of digital rock physics simulations. His recent publications (2024-2025) demonstrate a strong focus on multi-scale modeling approaches, bridging pore-scale phenomena to continuum-scale applications. His research group has made significant contributions to understanding multiphase flow in porous media, hydrogen storage, CO2 sequestration, and mineral characterization using cutting-edge imaging and computational techniques. The trend shows increasing integration of machine learning and deep learning techniques with traditional physics-based modeling to solve complex subsurface engineering problems. Professor Mostaghimi has received international recognition including being ranked among the world's top 2% scientists in Energy by Stanford University (2020). He serves as a Council Member for the International Society for Porous Media and as an Associate Editor for the Journal of Petroleum Science and Engineering. His professional affiliations include active membership in SPE (Society of Petroleum Engineers), InterPore, AGU (American Geophysical Union), and IAMG (International Association for Mathematical Geosciences). As director of the MUTRIS research group (http://mutris.unsw.edu.au), Professor Mostaghimi leads a team investigating multiphase flow and transport in porous media. His research has significant implications for energy transition technologies including carbon capture and storage, hydrogen storage, and sustainable mineral extraction. The group's work combines experimental techniques like X-ray micro-CT imaging with advanced computational methods to develop predictive models of subsurface processes.

• Composite Materials
• Computational Fluid Dynamics
• Finite Element Analysis
• +۲ مورد دیگر

Dr. Cam Minh Tri Tien (pronounced 'Tree') is a Postdoctoral Research Fellow at the Centre for Future Materials (CFM) within the University of Southern Queensland (UniSQ), based at the Toowoomba Campus. He is additionally affiliated with the Institute for Advanced Engineering and Space Sciences (IAESS), focusing on computational engineering applications for composite repair processes via digital twin technology. His professional credentials include Registered Professional Engineer status in Queensland (RPEQ 24545) and with Professionals Australia (RPEng 2408). His educational qualifications are: Bachelor of Engineering (BEng) from Ho Chi Minh City University of Technology Master of Science (MSc) from Konkuk University PhD in Computational Engineering from the University of Southern Queensland Research interests emphasize Composite Materials , Computational Fluid Dynamics (CFD) , Finite Element Analysis (FEA) , Discrete Element Method (DEM) , and Additive Manufacturing . With over 10 years of senior engineering experience across Vietnam, South Korea, New Zealand, the United States, and Australia, he integrates material science, thermodynamics, and fluid dynamics with advanced simulation techniques to solve complex engineering problems, producing visualizations to validate solutions. Dr. Tien operates within UniSQ's Centre for Future Materials and Institute for Advanced Engineering and Space Sciences, where his work bridges industrial engineering, multiphysics flows, and composite manufacturing. Teaching engagements include ENG3104 Engineering Simulations and Computations and ENG5105 Advanced Numerical Modelling, supported by 7 years of cumulative teaching experience (2 years tertiary, 5 years other contexts).

Sarah Hopkinsمشاهده پروفایل

دانشیار

• Mathematical Cognition
• Learning Difficulties
• Inclusive Education
• +۶ مورد دیگر

Sarah Hopkins is an Associate Professor in the Faculty of Education at Monash University , dedicated to reducing educational inequalities through interdisciplinary research in Mathematical Cognition and inclusive education. Her work integrates cognitive psychology and mathematics education to address learning difficulties, particularly among students from disadvantaged backgrounds and those with intellectual disability. Developed the Keyboard , a visual-spatial tool to enhance arithmetic strategy development Coordinated the Keep on Learning (KoL) Program for adults with intellectual disability Current ARC Discovery Project examines classroom applications of the Keyboard for lower primary students Research Interests span mathematical cognition, retrieval strategies, procedural flexibility, and inclusive pedagogy. Her projects often involve collaborations with the Spencer Foundation , ARC , and Ecstra Foundation , focusing on tool development, assessment design, and teacher training. Methodological Expertise includes Rasch analysis, microgenetic approaches, and mixed-methods research. She works with interdisciplinary teams to validate measurement scales and analyze longitudinal learning outcomes, particularly for marginalized groups.

• Quantum Cryptography
• Data Structures and Algorithms
• Quantum Algorithms
• +۳ مورد دیگر

Dr. Troy Lee is an Associate Professor of Quantum Cryptography at the Centre for Quantum Software and Information within the Faculty of Engineering and Information Technology at the University of Technology Sydney . His research focuses on quantum algorithms, computational complexity, and graph theory, with particular emphasis on quantum-classical separations and query complexity. Education: Not explicitly mentioned Research Areas: Quantum algorithms, computational complexity, graph theory, quantum cryptography, and Boolean function analysis Teaching: Supervised the course Data Structures and Algorithms in 2022 Grants: Currently involved in quantum algorithm design and defense optimization projects (2025-2028, 2021-2024) His recent publications highlight advancements in quantum query complexity, graph algorithms, and exact learning techniques. Notably, his work includes quantum speedups for graph connectivity problems and improved bounds for Fourier-sparse function learning. Dr. Lee maintains active collaborations across theoretical computer science and quantum computing domains, contributing to both foundational and applied research in quantum software development.

Serge Gaspersمشاهده پروفایل

استاد

• Algorithms and complexity
• Graph algorithms
• Quantum algorithms
• +۸ مورد دیگر

Professor Serge Gaspers is a faculty member in the School of Computer Science and Engineering at the University of New South Wales (UNSW), specializing in algorithms for computationally intractable problems. His research focuses on parameterized algorithms, quantum algorithms, and graph theory, with applications in computational social choice and constraint satisfaction. He joined UNSW in 2012 as an ARC DECRA Fellow and later held an ARC Future Fellowship. Gaspers obtained his PhD from the University of Bergen (Norway) in 2008, followed by postdoctoral positions in Montpellier, Santiago, and Vienna. His research interests include algorithms for NP-hard problems, quantum computing, and fair resource allocation. He has been awarded grants totaling over A$2 million, including an ARC Discovery Project (DP210103849) on improved algorithms via random sampling and collaborations with Data61/CSIRO and NICTA. Notable awards include the ARC Future Fellowship (2014), IJCAI 2013 Most Educational Video Award, and DECRA (2012). Teaching: Gaspers teaches COMP6741 - Algorithms for Intractable Problems . His advising spans parameterized algorithms, quantum algorithms, and graph algorithms. Research grants highlight his work in algorithms, with a focus on turbocharging heuristics and computational complexity of resource allocation problems.

Manou Rosenbergمشاهده پروفایل

پژوهشگر ارشد

• Optimization
• Energy Infrastructure
• Evolutionary Algorithms
• +۳ مورد دیگر

Dr Manou Rosenberg is a Research Fellow at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), part of the Faculty of Science and Engineering. Their work focuses on optimization and energy systems, particularly in hydrogen infrastructure networks, electricity distribution networks, and evolutionary algorithms. Rosenberg is affiliated with the Centre for Optimisation and Decision Science. Research interests include applying optimization techniques to solve complex engineering problems in energy infrastructure, rural electrification, and renewable energy systems. Their work often integrates evolutionary algorithms with geospatial analysis and machine learning methods. Publications emphasize innovative solutions for hydrogen pipeline design, rural electricity networks, and microgrid optimization. Recent work explores multi-stage approaches for spatially-aware infrastructure planning and the application of genetic algorithms to network design challenges. Rosenberg collaborates with institutions and researchers in Australia, contributing to projects that bridge theoretical optimization and practical energy system applications. They are based at the Curtin Perth campus in the New Technologies Building, Room 463.

• Learning Analytics
• Collaborative Learning
• Educational Data Analysis
• +۵ مورد دیگر

Andrew Zamecnik is a Research Fellow at the University of South Australia (UniSA), affiliated with UniSA Education Futures and UniSA STEM . His research focuses on learning analytics, team cohesion in collaborative environments, and educational data analysis. He leads studies on work-integrated learning (WIL) and online learning dynamics, leveraging trace data and machine learning to improve team performance and student outcomes. Key affiliations include the Centre for Change and Complexity in Learning and collaborations with institutions like Practera. His work spans: Temporal network motifs for measuring team cohesion Curriculum analytics for program quality improvement Feedback mechanisms in industry partnerships Graduate attribute development tracking Recent projects explore AI-driven analysis of MOOC participation, automated assessment of learning engagement, and longitudinal monitoring of competencies in teacher education programs. His interdisciplinary approach combines education theory with computational methods to address challenges in STEM and online education.

Maryanne Largeمشاهده پروفایل

استاد

• Optical Biomimetics
• Polymer Optical Fibres
• Materials Science
• +۳ مورد دیگر

Professor Maryanne Large is a faculty member in the Department of Physics at the University of Sydney, affiliated with the Sydney Environment Institute and Sydney Nano Institute. Her research focuses on optical biomimetics, polymer optical fibers, and their applications in materials science and biomedical engineering. She has authored key publications in these areas, including the book *Optical Biomimetics: Materials and Applications* and patents related to optical fiber fabrication. Her work bridges natural photonic structures and engineered solutions, with recent projects addressing gas detection, tissue engineering, and wearable sensors. Professor Large has secured grants such as the 'Eye in the Sky: Remote Sensing for Advanced Ecosystem Monitoring' and contributed to educational initiatives like developing 'Complex Problem-Solving' curricula. Her interdisciplinary approach integrates physics, biology, and engineering, reflecting her role as a leader in biomimetic technologies. Patents include methods for constructing optical fiber preforms, demonstrating her practical impact on material innovation. Her research outputs span journals, conferences, and books, highlighting contributions to fiber optics, sensor technologies, and biomaterials. Collaborations include work with institutions like Bush Heritage Australia and industry partners, emphasizing real-world applications of her academic research.

Stefan Kaufmanمشاهده پروفایل

عضو هیئت علمی

• Sustainability Transitions
• Environmental Behavior Change
• Circular Economy
• +۳ مورد دیگر

Stefan Kaufman is a Senior Research Fellow at Monash University’s Monash Sustainable Development Institute (MSDI), specifically within the BehaviourWorks Australia (BWA) group. He holds a PhD and B.Sc./B.A. (Hons 1) in Human Ecology from the Australian National University (2009). He joined BWA in 2019 after leading the social science function at the Victorian EPA (2007–2018), focusing on regulatory performance, risk communication, and voluntary behavior change programs. His research emphasizes sustainability transitions, environmental behavior change, and integrating voluntary/compliance drivers for systemic change. He has led multiple projects on circular economy, climate adaptation, and natural capital, collaborating internationally (e.g., Institute for Advanced Sustainability Studies, Germany, 2019). Key roles include Primary Chief Investigator for initiatives like the Sustainable Food for Victorian Patients project (2025–2026) and the Environmental Markets Leadership Program (2021–2025). He has co-authored over 38 peer-reviewed publications, including works on socio-technical systems, conservation frameworks, and circular economy behaviors. His 2023 award recognized contributions to industry transformation via behavioral science education. Teaching and training span Monash, RMIT, and the University of Melbourne, alongside designing programs like ANZOG’s GreenSteps. He actively participates in global forums (e.g., Lund University Planet 2050 Symposium) and is a member of AELERT, Society for Human Ecology, and the Australasian Evaluation Society.

Ismail Aliمشاهده پروفایل

مدرس

• Optimization Problems
• Evolutionary Algorithms
• Combinatorial Optimization
• +۷ مورد دیگر

Dr. Ismail Ali is a Lecturer at the School of Systems and Computing at UNSW Canberra, where he is affiliated with the Capability Systems Centre. He specializes in optimization problems, evolutionary algorithms, and simulation-based optimization techniques, with applications in production systems, supply networks, and defense-related problems. Dr. Ali's educational background includes: Bachelor's degree in Computer and Information from Zagazig University, Egypt (2010) Master by Research in Computer Science from UNSW Canberra (2014-2016) PhD in Computer Science from UNSW Canberra (2016-2020) Dr. Ali's research focuses on developing advanced optimization algorithms, particularly differential evolution techniques, for solving complex combinatorial optimization problems. His work spans multiple domains including production systems, supply chain management, and defense applications. He has made significant contributions to the adaptation of evolutionary algorithms for discrete optimization problems such as the traveling salesman problem and knapsack problems. His recent research has expanded into applications involving swarm robotics, carbon policy modeling, and secure simulation frameworks for defense applications. Analysis of Dr. Ali's publication record shows a consistent progression from theoretical algorithm development to practical applications in manufacturing, supply chains, and defense systems. A notable trend is the increasing integration of simulation techniques with optimization algorithms to address complex, multi-objective problems in dynamic environments. His work demonstrates strong interdisciplinary connections between computer science, operations research, and applied engineering domains. Dr. Ali has received significant recognition for his academic work: The Stephen Fester Prize for Outstanding Master's Thesis (2016) The Stephen Fester Prize for Outstanding PhD Thesis (2020) Dean's Award for Outstanding PhD Thesis at UNSW Canberra (2021) As an academic supervisor, Dr. Ali mentors PhD students and final-year graduation projects at UNSW Canberra. He has secured research funding through the Rapid Research Funding program ($16,500 in 2023) and the Faculty Seed Fund ($38,000 in 2024), supporting his work on optimization algorithms and their applications. His teaching responsibilities include courses in simulation, reliability engineering fundamentals, reliability program management, and reliability engineering assurance. As a member of the Capability Systems Centre at UNSW Canberra, Dr. Ali collaborates with researchers working on complex systems analysis, defense applications, and advanced computational methods. His work contributes to the Centre's mission of addressing challenging problems in defense and security through innovative systems approaches.

• Continuum Mechanics
• Industrial Mathematics
• Mathematical Modelling
• +۶ مورد دیگر

Neville Fowkes is an Honorary Research Fellow at the School of Physics, Maths and Computing (Computer Science and Software Engineering Department) at The University of Western Australia. He holds a BSc and PhD from Queensland University of Technology. His research focuses on applying mathematical modelling to industrial and scientific continuum mechanics problems, with over 30 participations in international Maths in Industry Study Groups (MISGs) across countries like Indonesia, Laos, Portugal, and South Africa. Education: BSc (Qld), PhD (Qld) Research interests include crack propagation, mining tunnel collapse, concrete behavior models, ship mooring systems, groundwater flow, microwave propagation, enzyme kinetics, cancer research, and boundary tracing techniques. He has authored a widely-used textbook on industrial mathematical modelling. Notable collaborations include projects with BHP, DuPont, and Unilever, supported by grants from Fundação para a Ciência e a Tecnologia (Portugal), ARC, and others. He contributes to UN Sustainable Development Goals through industrial problem-solving initiatives. He has advised on 2 grants including 'Modelling Temperature Variations in Stationary Vehicles with Forensic Applications' (2004-2005) and 'Improved Elastomer Model for Resources Industry' (2010-2011). His consultancy includes work on laser tracker calibration and mine safety barrier design. Fowkes has established industrial mathematics programs in Laos, Portugal, Indonesia, and Thailand, and runs graduate workshops globally. He actively participates in international education initiatives, including the AIMS Postgraduate Program in Africa.

Charles Bayly-Jonesمشاهده پروفایل

پژوهشگر ارشد

• Structural Biology
• Protein Dynamics
• Complement System
• +۵ مورد دیگر

Charles Bayly-Jones is a Research Fellow in the Department of Biochemistry & Molecular Biology at Monash University. His work focuses on structural biology, protein dynamics, and their roles in immune systems and cancer. He leads the ARC-funded project 'New methods to capture protein dynamics of the TSC-mTOR signalling axis' (2024–2026) and contributed to the project 'Pleurotolysin: Developing a novel insecticide and nematicide for crop security' (2022). His research interests include complement system proteins, membrane pore formation, and cancer-related signaling pathways. Recent work combines structural biology techniques like cryo-EM with computational methods to study protein interactions. Key contributions include elucidating the structure of the complement membrane attack complex and the metastatic factor P-Rex1. Publications highlight advancements in understanding protein dynamics, drug targeting (e.g., cagrilintide), and therapeutic pathways in breast cancer. Grants and collaborations reflect interdisciplinary approaches to solving biological problems with applications in medicine and agriculture.