جستجوی استاد راهنمای دانشگاهی

• Sociology of Education
• Critical Pedagogies
• Culturally Responsive Schooling
• +۵ مورد دیگر

Associate Professor Samantha Schulz is a sociologist of education at The University of Adelaide's School of Education, within the Faculty of Arts, Business, Law and Economics. She specializes in educational justice, focusing on First Nations education, race critical theory, affect studies, and gender equity. Her work spans international contexts including Kenya, India, China, and Australia's APY Lands. She is co-convenor of the Pedagogies for Justice Research Group, affiliated with CRESI and the Fay Gale Centre for Research on Gender. As Program Director for the Master of Teaching program, she emphasizes socially engaged pedagogies. Recent research includes the ARC-funded 'Culturally Responsive Schooling' project (2022-24) and studies on gender-based violence in educational settings. Her publications explore decolonial methodologies, critical race theory, and the intersection of affect and pedagogy. Her grants include leadership roles in projects addressing Indigenous sovereignty in education, culturally responsive curriculum design, and restorative practices. Notable collaborations involve UniSA and Open University of Cyprus. She co-edits the Routledge 'Local Global Issues in Education' series and actively publishes on topics ranging from toxic masculinity in academia to anti-racist policy frameworks. Her advising focuses on fostering critical scholarship in Masters and PhD candidates, with research supervision emphasizing justice-oriented educational practices. She leads initiatives like 'Teaching in an era of digital influence' and has contributed to policy discussions on preventing violent extremism in schools. Her work bridges theoretical rigor with practical advocacy for marginalized communities in education systems globally.

• STEM Education
• Pedagogical Content Knowledge (PCK)
• Teacher Expertise
• +۳ مورد دیگر

Amanda Berry is a Professor of STEM Education and Deputy Dean (Research & Innovation) in the School of Education at RMIT University, Australia. Her research focuses on science education, teacher education, and methodologies for capturing classroom practices. She leads initiatives to develop tools for representing teachers' pedagogical expertise and has contributed to frameworks like the refined consensus model of pedagogical content knowledge (PCK). Her work emphasizes teacher professional development, particularly for highly accomplished educators, and explores adaptive expertise in interdisciplinary teaching. She actively supervises postgraduate research students and collaborates internationally on projects like the Sharing Knowledge Project in inquiry-based teaching. Key research themes include STEM integration, teacher educator professionalism, and the role of student voice in assessment reform. Her interdisciplinary approaches bridge theory and practice, influencing both policy and classroom strategies in science and mathematics education.

Mohd Fikree Hassanمشاهده پروفایل

مدرس

• Image and Signal Processing
• Image Processing and Computer Vision
• Image Enhancement and Restoration
• +۳ مورد دیگر

Mohd Fikree Hassan is a Lecturer at the School of Information Technology, Monash University Malaysia, joining in June 2023. He holds a Ph.D. and Master's from the University of Malaya, and a B.Eng. in Electronics Engineering from Multimedia University. With over 14 years of academic experience, he is actively engaged in research, teaching, and supervision. B.Eng. in Electronics Engineering (Telecommunications), Multimedia University, 2004 M.Eng. in Engineering (Telecommunications), University of Malaya, 2015 Ph.D. in Signal and Systems, University of Malaya, 2018 His research focuses on image and signal processing , particularly in image enhancement, restoration, computer vision, and human color vision . His work contributes to improving image visibility, removing color casts, and developing algorithms for noisy or degraded images. He applies mathematical and computational techniques to solve real-world imaging challenges. The recent publication trends (2021–2025) show a strong focus on image restoration using variational methods (e.g., total variation, ℓ0 regularization), color enhancement in HSI space, and video analysis for sports applications. His work bridges theoretical optimization and practical computer vision systems. He actively contributes to the academic community through peer review for journals such as Neurocomputing , Journal of Imaging , and International Journal of Computational Intelligence Systems , as well as for IEEE conferences. Mohd Fikree is currently accepting PhD students and serves as an external examiner for academic programs. His consistent research output and editorial service reflect a growing impact in the field of image processing and computer vision. While no formal lab or team is mentioned in the text, his collaborations with researchers like R. Paramesran, T. Adam, and G. Krishnasamy suggest active research partnerships in signal and image processing.

Piotr Koniuszمشاهده پروفایل

دانشیار

• Foundation Models
• Representation Learning
• Graph Learning
• +۴ مورد دیگر

Piotr Koniusz is a Principal Research Scientist at Data61/CSIRO and an Honorary Associate Professor at the Australian National University (ANU), with an Adjunct role at UNSW. He holds a PhD in Computer Vision from the University of Surrey (2013) and a BSc from Warsaw University of Technology (2004). His research focuses on Foundation Models, Representation Learning, and Few-shot Learning, with contributions to Graph Neural Networks and Adversarial Robustness. Key roles include Program Chair for NeurIPS’25, Senior Area Chair for ICML’25 and ICLR’25, and Workshop Co-Chair for WWW’25. Awards include the Sang Uk Lee Best Student Paper (ACCV’22) and recognition as an Outstanding Area Chair (ICLR 2021–2023). Research interests span Vision-Language Models (VLMs), Generative Adversarial Networks (GANs), and Domain Adaptation. He supervises PhD students at ANU and collaborates with industry on projects like traffic forecasting and ecotoxicology prediction.

• Mathematics Education
• Pedagogical Content Knowledge
• Educational Policy
• +۳ مورد دیگر

Vince Wright is a Sessional Academic in the School of Education at the Faculty of Education and Arts. His research focuses on mathematics education, pedagogical content knowledge, and the application of global perspectives in educational policy and curriculum design. He has contributed to understanding how teachers develop effective instructional strategies and how students engage with mathematical concepts such as ratios, geometry, and percentages. His work spans journal articles and book chapters, examining topics like metaphor-based problem-solving frameworks, diagnostic tools for geometric reasoning, and the role of demonstration lessons in teacher professional development. Wright's research emphasizes practical applications for improving mathematics teaching methods and aligning pedagogy with international evidence-based practices. While no formal academic awards are listed, his contributions to mathematics education research reflect a commitment to bridging theoretical frameworks with classroom realities. His collaborative projects include co-authored studies with educators like Ken Smith and Rose Knight, exploring diagnostic assessments and pre-service teacher training.

• Energy Finance
• Renewable Energy
• Sustainable Finance
• +۴ مورد دیگر

Christina Nikitopoulos Sklibosios is an Associate Professor in the Finance Discipline Group at the University of Technology Sydney (UTS) Business School. She specializes in energy finance, renewable energy economics, sustainable finance, and commodity markets. Her research focuses on analyzing price dynamics and volatility in energy markets, particularly addressing challenges posed by renewable energy integration, green bond markets, and climate transition risks. She has held leadership roles including Finance PhD Program Coordinator (2015–2023) and currently serves on the UTS Business School's Faculty Board and HDR Director (acting). Education: Doctoral and academic background in finance and energy economics (details not explicitly provided in texts). Her research projects include modeling electricity prices in Australia’s National Electricity Market (NEM), assessing renewable energy impacts on grid stability, and evaluating green bond premiums. Key grants include ARC grants on energy market volatility and climate risk (2010–2017), and recent awards such as the UTS Strategic Research Accelerator grant (2024–2025) for net-zero decision-making tools. Research interests span energy economics, sustainable finance mechanisms, and commodity market dynamics. She collaborates with international organizations like CEMA, IAEE, and AFFECT, and contributes to policy discussions on energy transition and financial market reforms.

• Applied Mathematics
• Financial Mathematics
• Numerical and Computational Mathematics
• +۳ مورد دیگر

Xiaoping Lu is an Associate Professor at the School of Mathematics and Applied Statistics, University of Wollongong, Australia. She has served as Academic Program Director for the Bachelor of Mathematics (Advanced) program since 2008 and holds an ORCID identifier (0000-0003-1090-8437). Her research focuses on applied mathematics and financial mathematics, particularly in option pricing, stochastic volatility models, and computational finance. Research Themes: Transaction cost modeling, regime-switching financial markets, numerical methods for PDEs, utility-indifference valuation, and stochastic optimization algorithms. Awards: 2024 AustMS-WIMSIG Anne Penfold Street Award 2024 Cheryl E. Praeger Travel Award Leadership: President of the Asia Pacific Consortium of Mathematics for Industry (APCMfI) since 2024; leadership roles in ANZIAM and WIMSIG committees. Teaching: Coordinated courses like MATH142, MATH141, and MATH283; currently available for PhD supervision in topics including financial derivatives and stochastic liquidity risk. Funding: Contributed to grants like 'The AI Tutor' (2024) and industry partnerships for advanced mathematics education.

• Geodata Analytics
• Applied Geophysics
• Resource Geoscience
• +۷ مورد دیگر

Matthew J. Cracknell is a Senior Lecturer in Geodata Analytics at the University of Tasmania's School of Natural Sciences, specializing in Earth Sciences. He holds a PhD in Computational Geophysics (2014) and BSc (Hons) in Geophysics (2009), both from the University of Tasmania. His research integrates geoscience with machine learning to address challenges in mineral exploration, environmental remediation, and sustainable resource management. Key focuses include automated detection of geological features in drillcore imagery, decarbonization of energy systems via ore deposit discovery, and legacy mine waste characterization. Cracknell leads the CODES Research Program 6 (Geophysics and Computational Geosciences) and Module 2 of the AMIRA P1249 project. He has secured significant industry and government funding, including projects with Boliden AB, Anglo American, and the Tasmanian Government. His work emphasizes collaboration with mining partners and agencies like Geoscience Australia and Mineral Resources Tasmania. Teaching roles include developing courses on the mining value chain, climate resilience, and geodata analytics. As Graduate Research Coordinator, he promotes HDR student well-being and supervises over 20 doctoral and masters students. Awards include the 2019 Oz Minerals Explorer Challenge Prize. Key affiliations include the International Association for Mathematical Geosciences, Australian Society of Exploration Geophysicists (Tasmanian Branch Secretary), and Geological Society of Australia.

• Spatio-temporal Statistics
• Computational Statistics
• Environmental Informatics
• +۳ مورد دیگر

Andrew Zammit Mangion is an Associate Professor at the University of Wollongong , affiliated with the School of Mathematics and Applied Statistics . His research focuses on spatio-temporal statistics, computational methods, and environmental informatics, with applications in climate science and geospatial data analysis. Education : PhD in Statistics (University of Sheffield, 2012), B.Eng. (University of Malta, 2007) Research Themes : Spatio-temporal modeling, Bayesian inversion frameworks (e.g., WOMBAT v2.S), deep learning integration, and statistical software development (e.g., FRK package) Grants & Projects : ARC DECRA Fellow (2018), Chief Investigator on ARC Discovery Project (greenhouse gases), ARC Special Research Initiative (Securing Antarctica's Environmental Future), and ARC Industrial Transformation Hub (TIDE). Collaborations : University of Bristol, University of Edinburgh, ESA CCI, NASA OCO-2 data projects Scientific Awards include the prestigious Australian Research Council Discovery Early Career Researcher Award (DECRA). His work spans Antarctic ice sheet analysis, CO2 flux inversion, and scalable spatial statistical models for environmental monitoring.

• Computer Networks
• Network Reliability
• Wireless Mesh Network
• +۳ مورد دیگر

Dr. Sie Teng Soh is an Associate Professor at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences. With qualifications including a PhD from Louisiana State University, he specializes in computer networks, wireless systems, and algorithm design. Research focuses on: Network topology optimization for UAV systems Energy-efficient IoT task scheduling Reliable wireless communication protocols Game-theoretic network management Green computing in software-defined networks Publication trends show advancing work in UAV network optimization, with recent articles addressing max-min rate optimization, energy harvesting in IIoT, and machine learning approaches for coverage prediction. His research consistently addresses practical challenges in wireless network deployment under real-world constraints. Teaching areas include advanced courses in network reliability and traffic engineering. Professional service includes editorial roles for IEEE Transactions on Parallel and Distributed Systems and program committee memberships for major conferences including FAST and EuroSys.

• Ultra-low power systems
• Microelectronics
• Integrated Circuits
• +۱۱ مورد دیگر

Professor Aniruddha Desai is a Research Professor and Director of the Centre for Technology Infusion (CTI) at La Trobe University. He holds a Bachelor’s in Industrial Electronics, a Master’s in Micro-electronics, and a PhD in Computer Science. His expertise spans microelectronics, AI, IoT, and sensor networks, with a focus on socially impactful applications like transportation, healthcare, and precision agriculture. Research Interests: Ultra-low power systems Micro-nano electronics AI/ML and edge computing IoT and sensor networks Transportation and logistics Major Projects: Led multi-million-dollar R&D programs in areas such as smart cities, energy management, and smart farming. Notable collaborations include the IIT Kanpur - La Trobe University Research Academy and the Asian Smart Cities Research and Innovation Network. Awards: Recipient of the 2016 Vice-Chancellor’s Award for Research Excellence and the 2020 Victorian Tall Poppy Award for Science. Served on advisory panels for the Australian Research Council and provided expert testimony in parliamentary inquiries. Labs/Teams: Directs the CTI, which delivers technology-based innovations to industry and government. Co-founded the Asian Smart Cities network to advance urban technology solutions.

Margaret Groseمشاهده پروفایل

دانشیار

• Ecological Design
• Urban Ecology
• Sustainable Landscapes
• +۴ مورد دیگر

Associate Professor Margaret Grose is an academic at the University of Melbourne's Melbourne School of Design, specialising in Landscape Architecture. She holds an Associate Professorship and teaches ecological design principles in the Masters of Landscape Architecture and Bachelor of Environments programs. Her work bridges design and ecological science, with a focus on urban ecosystems, water management, and cultural landscapes. Education: Grose began in Agricultural Science (soils/water processes), completed a PhD in ecophysiology of Australian plants, followed by postdoctoral research at Oxford University and the University of Cambridge’s Mathematical Biology group. She later trained in Landscape Architecture and practiced as an environmental scientist in urban design projects. Research interests include integrating ecological science into design, the role of historical ecological knowledge in contemporary design, and urban water systems. Her recent Universitas 21 Fellowship explores teaching ecology to built environment students globally. Publications span topics like urban forestry in China, dryland river parks, and impacts of artificial light on ecosystems. She has received the 2011 Faculty Teaching Award for Excellence in the Masters program. Supervision focuses on river design, urban waterways, ecological planting resilience, and design of public spaces in Mediterranean climates. She collaborates on interdisciplinary projects combining ecology, urban planning, and cultural heritage.

James Saundersonمشاهده پروفایل

مدرس ارشد

• Convex Optimization
• Semidefinite Programming
• Polynomial Optimization
• +۴ مورد دیگر

Dr. James Saunderson is a Senior Lecturer and Director of Education in the Department of Electrical and Computer Systems Engineering at Monash University. He holds a PhD in Electrical Engineering and Computer Science from MIT and has held postdoctoral roles at Caltech and the University of Washington. His expertise spans convex optimization, semidefinite programming, and quantum information theory. Education : PhD in EECS, MIT (2015) MS in EECS, MIT (2011) Bachelor of Engineering (Honours) and Bachelor of Science (Honours), University of Melbourne (2008) Research Interests : Convex optimization, quantum information theory, signal processing, and algorithm design. Focuses on algebraic and geometric aspects of optimization, with applications in engineering and quantum systems. Recent Projects : Exploiting duality in quantum relative entropy optimization Hyperbolic programming and conic optimization Applications in nanotechnology and bioinformatics Teaching : Courses include Control System Design, Signals and Systems, and Optimization for Engineers. Awards : SIAM Optimization Best Paper Prize (2020) Grants and Collaborations : Australian Research Council Discovery Early-Career Research Fellow (2020–2024) Leading projects in quantum optimization and bioengineering applications.

Guoyin Liمشاهده پروفایل

استاد

• Optimization
• Variational Analysis
• Multilinear Algebra
• +۵ مورد دیگر

Professor Guoyin Li is a faculty member at the School of Mathematics & Statistics , University of New South Wales (UNSW Sydney). He holds a Ph.D. from The Chinese University of Hong Kong (2007) and has been at UNSW since 2011, currently serving as Professor and Research Director. Research Interests His work spans optimization , variational analysis , and multilinear algebra , with applications in robust optimization , structural engineering , and machine learning . He specializes in nonconvex nonsmooth optimization , tensor eigenvalue problems , and exact semi-definite programming relaxations . Recent Publications His articles focus on robust optimization for structural design, nonlinear approximation techniques, and conic programming for uncertain data. Key journals include Foundations of Computational Mathematics , Mathematical Programming , and Computer Methods in Applied Mechanics and Engineering . Awards and Grants Fellow of the Australian Mathematical Society (2023) 2022 AustMS Medal 2024 Marguerite Frank Award ARC Discovery Grants (2021-2023, 2025-2027) ARC Research Hub Project (2017-2021) Professional Roles He serves on editorial boards of SIAM Journal on Optimization , Optimization Letters , and Journal of Optimization Theory and Applications , and has delivered plenary lectures at international conferences in Austria, Spain, and Canada.

• Ocean Renewable Energy
• Robotics
• Biomechanics
• +۲ مورد دیگر

Dr. Boyin Ding is an Associate Professor at the University of Adelaide , serving as Academic Director at Haide College and researcher in the Mechanical Engineering department within the Faculty of Sciences, Engineering and Technology. He leads the Wave Energy Research initiative established in 2014, while also contributing to Robotics and Biomechanics through his work with the Flinders Medical Device Research Institute. Research Areas: Ocean Wave Energy Harvesting Control Systems for Renewable Energy 6DOF Robotic Testing Spine Biomechanics Transnational Education Programs Key Collaborations: Australia-China Joint Research Centre for Offshore Wind & Wave Energy Acoustics, Vibration and Control Research Group Scientific Awards: Australian Endeavour Fellowship Malcolm Kinnaird Engineering Excellence Award (2012) His recent publications focus on hybrid offshore energy systems, nonlinear hydrodynamics in wave energy converters, and biomechanical testing technologies. He has developed control algorithms for floating offshore wind-wave systems and pioneered 6DOF robotic platforms for medical applications. As an eligible PhD supervisor, he actively collaborates with global industries and academic institutions.