جست‌وجوی استاد و پژوهشگر

• Disability Studies
• Social Justice
• Artificial Intelligence and Disability
• +۵ مورد دیگر

Professor Karen Soldatic is a leading academic in the School of Social Sciences at Western Sydney University, specializing in disability studies, social justice, and intersectional analysis. Her work critically examines the intersections of disability, migration, Indigenous rights, and digital technology within Global South contexts. Her research interests focus on Disability Studies , Social Justice , Artificial Intelligence and Disability , Indigenous Rights , and Migration Studies . Through participatory methodologies, she investigates how digital systems, welfare policies, and social structures create barriers for marginalized communities, particularly women with disabilities in low-income countries and Indigenous populations in Australia. Analysis of her recent publications reveals a strong emphasis on technology-facilitated violence against women with disabilities , digital inclusion frameworks , and intersectional resistance strategies . Her work consistently bridges academic theory with community action, focusing on practical interventions for systemic change. Professor Soldatic has secured significant research funding through projects including Walking my path: NSW Indigenous LGBTIQ+ peoples' experiences & aspirations (2023-2027) and Environmental Stewardship Resurgence in Walbanga Land . Her community engagement includes membership in the Australian Sociological Association and Diversty Arts Australia. Her academic contributions include 181 research outputs, 14 major projects, and active supervision of HDR candidates. She holds a PhD from the University of Western Australia and maintains strong connections with disability advocacy organizations including the Australian Federation of Disability Organisations.

• Data Science
• Machine Learning
• Natural Language Processing
• +۱۲ مورد دیگر

Xiuzhen Jenny Zhang is a Professor of Data Science at RMIT University , affiliated with the School of Computing Technologies. Her research bridges artificial intelligence, machine learning, and social media analysis, with a focus on text mining and trustworthy data science. Her recent publications highlight expertise in point-of-interest recommendation , misinformation detection , multi-task learning , and transformer-based NLP . Key trends include applications of large language models for social good, fairness in recommendation systems , and adversarial learning for robustness. Best Paper Award at TrustCom’12 Best Short Paper Award at ADCS’2009 She leads the Text And LanguagE (TALE) research group and has supervised over 20 PhD students. Research grants include Australian Research Council and Victoria state government funding.

• Machine Learning
• Data Mining
• Pattern Recognition
• +۹ مورد دیگر

Associate Professor Zhidong Li is a prominent researcher at the Data Science Institute within the Faculty of Engineering and Information Technology at University of Technology Sydney (UTS), Australia. With over a decade of experience in data science and machine learning, he leads impactful research bridging theoretical advancements with practical applications across multiple critical infrastructure domains. Dr. Li earned his PhD from the University of New South Wales, Sydney, Australia, and previously served as a senior engineer at Data61, CSIRO (Commonwealth Scientific and Industrial Research Organisation), Australia's federal government agency for scientific research. His research spans machine learning, data mining, pattern recognition, image processing, and human-computer interaction with applications in water, gas, traffic, urbanization, visitor economy, agriculture, environment, finance, property market, railway, law, electric and health sectors. His work particularly focuses on developing interpretable AI models, temporal point processes, and practical applications for smart infrastructure management. His extensive publication record reveals strong thematic consistency in applying advanced machine learning techniques to infrastructure management problems, with particular emphasis on water systems. His research demonstrates progression from fundamental algorithm development toward increasingly sophisticated applications with real-world impact, especially in temporal modeling, graph neural networks, and fairness in AI systems. Scientific Awards 2022 R&D Excellence Award NSW Water Award 2021 UTS Medal for Research Impact for the Vice-Chancellor's Awards for Research Excellence 2018 Australian Museum Eureka Prize for Excellence in Data Science 2019 Victorian iAwards - Industrial & Primary Industries Merit for 'Predictive Analytics for Water Pipe Maintenance' Multiple AWA research innovation awards (NSW, National, QLD) Dr. Li actively supervises Masters and PhD students and leads numerous funded research projects across diverse sectors. His collaborative approach is evident through partnerships with water utilities, transport agencies, and various CRC projects focusing on Food Agility, Digital Finance, and Smartcrete. His work on the world's first independently-audited ethical talent AI in partnership with Reejig demonstrates his commitment to translating research into real-world solutions that address societal challenges while maintaining ethical standards.

Ian Rennerمشاهده پروفایل

مدرس ارشد

• Ecological Statistics
• Species Distribution Models
• Statistical Theory
• +۳ مورد دیگر

Dr. Ian Renner is a Senior Lecturer in the School of Information and Physical Sciences at the University of Newcastle, specializing in Data Science and Statistics. He holds a PhD in Statistics from the University of New South Wales, complemented by a Master of Statistics from the University of Utah and a Bachelor of Science in Mathematics from Valparaiso University. His research focuses on species distribution models (SDMs), particularly leveraging presence-only data and point process models. He developed the PPM-LASSO approach and maintains the R package 'ppmlasso' for model implementation. Education: PhD (Statistics), University of New South Wales Master of Statistics, University of Utah Bachelor of Science (Mathematics), Valparaiso University Research Interests: Dr. Renner's work bridges statistics and ecology, emphasizing the development of robust SDMs. Key areas include: Unifying MAXENT and Poisson point process models Observer bias correction in ecological data Integration of regularization techniques (e.g., LASSO) for predictive accuracy Application of citizen science data in conservation His methodologies address challenges like taxonomy changes and sampling biases in species distribution studies. Publications: His recent work highlights advancements in SDM stability, citizen science applications, and regularization methods. Key themes include improving model reliability through penalized likelihoods and addressing ecological data complexities. Awards: JB Douglas Award (2011) Runner-up for Best Student Talk (2011) EJG Pitman Prize (2010) Grants & Supervision: He has secured $12,838 in internal grants, including a visiting fellowship at CNRS (France) and conference funding. He currently co-supervises a PhD on deep learning for speech depression recognition and has guided two other students in statistical ecology and methodology. Labs/Teams: Leads the development of the 'ppmlasso' R package, collaborating with researchers like Olivier Gimenez and Eric Beh to advance ecological statistics.

George Shinkleمشاهده پروفایل

استاد

• Strategic Management
• Strategic Agility
• Strategy Implementation
• +۵ مورد دیگر

Professor George Shinkle is a faculty member at the School of Management and Governance within the UNSW Business School . His academic background includes a B.S. in Mechanical Engineering from Purdue University, an MBA from Ball State University, and a Ph.D. in Strategic Management from the Krannert Graduate School of Management at Purdue University. Prior to academia, he held industry roles at Ball Corporation, General Motors, and co-founded a management consulting firm. Research Interests: Strategic goal setting, agility, implementation, and innovation in turbulent environments; international business strategy; organizational control theory. Awards: 2019 ANZAM Innovative Management Educator Award, 2018 UNSW Teaching Excellence Award, 2017 UNSW Arc PostGraduate Research Council Supervisor Award, 2013-2015 ARC DECRA award. Teaching: Facilitates Executive Strategy - Disruption and Transformation in AGSM Executive MBA and Executive Education programs. Supervision: Mentored Ph.D. candidates including Min-Huei Yang, Feifei Yang, Lingli Luo, Mirjam Goudsmit, Jingyi Wang, and Angel Sharma. Grants: Includes an ARC Industrial Transformation Training Centre (2023-2028) and multiple ARC Linkage/Discovery grants.

• Sustainable Finance
• Energy Transition
• Artificial Intelligence in Finance
• +۴ مورد دیگر

Dr. Kylie-Anne Richards holds dual roles as a Senior Lecturer at the University of Technology Sydney (UTS) Business School and Head of Investment Research at Australia's Future Fund. Her academic work bridges sustainable finance, computational finance, and statistical modelling. She earned a PhD in Mathematics and Statistics from UNSW, a Master of Finance (Financial Engineering) from the University of Hong Kong, and undergraduate degrees in Mathematics, Statistics, and Finance from the University of Melbourne. Her research focuses on energy transition, AI applications in finance, and high-frequency data analysis. Recent studies include developing statistical tests for Hawkes processes and evaluating green bond environmental impacts. She has published in Energy Economics, Annals of Actuarial Science, and the International Journal of Financial Engineering. Dr. Richards leads the Centre for Climate Risk and Resilience at UTS, focusing on climate-related financial risks. Her funded research includes projects on fossil fuel divestment mechanisms and transition risk's impact on sovereign bonds. She regularly engages in industry forums discussing AI-driven financial decision-making and fixed income markets.

• Artificial Intelligence
• Machine Learning
• Signal and Image Processing
• +۴ مورد دیگر

Dr. Salim Bouzerdoum is a Senior Professor of Computer Engineering at the University of Wollongong (UOW), affiliated with the School of Electrical, Computer & Telecommunications Engineering. He holds a Ph.D. and M.Sc. in Electrical Engineering from the University of Washington. His roles include former Associate Dean for Research (2007–2013) and Head of School (2004–2006). He has served on the Australian Research Council panels and held visiting professorships globally. Education: Ph.D. in Electrical & Computer Engineering, University of Washington, Seattle, USA M.Sc. in Electrical Engineering, University of Washington, Seattle, USA Research Interests: His work focuses on Artificial Intelligence , Machine Learning , and Signal & Image Processing , with applications in radar imaging, computer vision, and smart sensors. Key areas include neural networks, object detection/tracking, and compressive sensing. Recent projects include assistive navigation tools for vision-impaired individuals and underwater mine detection via sonar imaging. Grants & Funding: He leads or co-leads over 30 funded projects, including: AI-based SAR Satellite Imaging System for Oceanic Waves (AGO, 2024–2025) A portable AI-guided navigation tool for vision-impaired people (KONEKSI, 2024–2026) Deep Learning for Vessel Surveillance using Satellite Imagery (NSW Space Research Network, 2022–2023) Teaching & Supervision: With 30+ years of experience, he has supervised 38 Ph.D. and 22 master’s students, mentored 12 early-career researchers, and delivered courses like Applied Data Analytics and Neural Networks . Current supervision includes projects on deep learning for obstacle detection and semantic segmentation. Awards: Eureka Prize (2011) for Defence Science ARC College of Experts Member (2009–2011) Multiple Vice-Chancellor Research Awards (1998–1999)

• Autonomous Driving
• Machine Learning
• Wireless Communication
• +۱۱ مورد دیگر

Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.

• Econometrics
• Time Series Analysis
• Financial Econometrics
• +۳ مورد دیگر

Ye Lu is a Senior Lecturer in the School of Economics at the University of Sydney. She holds a PhD in Economics from Indiana University Bloomington (2017). Her research focuses on econometric theory with applications to time series analysis, financial econometrics, and large-dimensional data. Key interests include continuous time modelling with high-frequency data, nonlinear factor models, and econometric methods for event-driven data. Education: PhD in Economics, Indiana University Bloomington (2017) Research emphasizes developing robust methodologies for data-rich environments, addressing challenges in traditional econometric approaches. Recent work includes bootstrap inference for Hawkes processes and zero-inflated GARX models for energy price spikes. Teaching responsibilities include courses like ECMT1020 (Introduction to Econometrics) and ECOS3904 (Applied Macroeconometrics). Her publications appear in top journals such as Journal of Econometrics and Energy Economics .

• Geriatric Pharmacology
• Quality Use of Medicines
• Pharmacoepidemiology
• +۱ مورد دیگر

Professor Danijela Gnjidic is affiliated with the Sydney Pharmacy School at the University of Sydney , serving as Interim Deputy Associate Dean of Research in the Faculty of Medicine and Health . She leads the Clinical Practice Guideline for Deprescribing Opioid Analgesics and is a member of the Charles Perkins Centre . Education : PhD (University of Sydney, 2010), MPH (concurrent with PhD), BSc (Hons) International Collaborations : Ghent University (Belgium), Karolinska Institute (Sweden), University of Kentucky and Yale University (USA) Research Focus : Her work spans Geriatric Pharmacology , Deprescribing , Pharmacoepidemiology , and Quality Use of Medicines , with specific emphasis on: Dementia and Medication Management Frailty Assessment in Older Adults Opioid Safety and Chronic Pain Drug Burden Index and Polypharmacy Clinical Guidelines for Deprescribing Healthcare Implementation Strategies Recent Publications analyze trends in opioid deprescribing , frailty measurement , adverse drug reactions , and technology-driven medication management , reflecting interdisciplinary approaches combining geriatrics , epidemiology , and health informatics . Awards include the Thompson Fellowship (2023) , NHMRC Dementia Leadership Fellowship (2017-21) , and multiple accolades for mentorship and leadership in Geriatric Pharmacology . Teaching & Supervision : Coordinates Honours Unit of Study in Pharmacotherapeutics , Public Health , and Evidence-Based Medicine . Supervises projects on dementia care and medication optimization . Associations : Past President of ASCEPT , Deputy Chair of HDR Examinations Subcommittee , and editorial roles for British Journal of Clinical Pharmacology and PLOS One .

• Quantum Dynamics
• Chemical Reactions
• Atmospheric Chemistry
• +۳ مورد دیگر

Associate Professor Meredith Jordan is a faculty member at the University of Sydney's Department of Chemistry, specializing in theoretical and computational chemistry. She holds an BSc (Hons) and PhD from the University of Sydney. Her research focuses on quantum and classical dynamics in chemical systems, potential energy surfaces, and photodetachment spectra, aligning with the university's Faculty of Science Research Strengths in Quantum Frontiers. She has coordinated Honours and Graduate Diploma programs. Education: BSc (Hons), University of Sydney (1990) PhD, University of Sydney (1994) Research Interests: Quantum mechanical models for bound/unbound systems Hydrogen bonds in biological systems Photodetachment spectra interpretation New theoretical methods for scattering calculations Recent Work Trends: Contributions to atmospheric photochemistry, roaming reaction mechanisms, and quantum effects in molecular systems. Her grants include projects on atmospheric photothermal oxidation, ground-state photochemistry, and hydrogen storage materials. She collaborates extensively with experimentalists like Prof. Scott Kable, focusing on acetaldehyde photolysis and tropospheric chemistry.

Laura Harperمشاهده پروفایل

مدرس ارشد

• Architecture
• Urban Design
• Materials Science
• +۸ مورد دیگر

Dr Laura Harper is a Senior Lecturer in the Department of Architecture at Monash University, part of the Faculty of Art, Design and Architecture. She holds a PhD in Architecture from Monash (2018), with research focusing on material systems, urban geology, and sustainable design. Her work bridges academic research and professional practice, including collaborations with firms like NMBW Architecture Studio and Roland Snooks. Research Interests: Laura explores material processes and their connections to urban environments, particularly geological influences on cities. Key areas include the 'Afterlife of Mines,' urban fringe quarries, and Indigenous-led water design. She leads projects like the Repair of Memory and Place collaboration with the Boon Wurrung Foundation and Melbourne Water. Projects and Grants: Current projects include the Monash Urban Lab's 20-Minute Neighbourhoods initiative and funded work with the NSW Government's Building 4.0 CRC. She has contributed to significant built works such as the award-winning Box Hill Gardens (AIA Urban Design Award 2014) and Point Lonsdale House (AIA New Residential Award 2016). Awards: Laura and her teams have received multiple architecture awards, including the 2016 National Architecture Award for Residential Architecture and the 2023 ArchitectureAU Social Impact Commendation for St Albans Housing . Teaching and Practice: Laura teaches at Monash while practicing collaboratively with Roland Snooks, exploring advanced manufacturing and material innovation. She is a graduate research supervisor and actively participates in public lectures and exhibitions.

• Battery Management Systems
• Electric Vehicles
• Lithium-ion Batteries
• +۱۴ مورد دیگر

Professor Weixiang Shen is a full Professor in the Department of Engineering Technologies at the School of Engineering, Swinburne University of Technology, Melbourne, Australia. He holds a PhD in Electrical Engineering and has extensive academic experience across China, Germany, Singapore, and Malaysia. Bachelor of Engineering (BEng), Electrical Engineering Master of Engineering (MEng), Electrical Engineering Doctor of Philosophy (PhD), Electrical Engineering His research focuses on battery management systems for electric vehicles and renewable energy integration. Key areas include battery capacity estimation, charging strategies, fault diagnosis, thermal and mechanical management, and grid integration of EVs. He employs advanced techniques such as physics-informed machine learning, electrochemical modeling, and multidimensional sensing to enhance battery safety and performance. His recent publications (2024–2025) reveal a strong trend toward intelligent battery health monitoring, degradation modeling, and innovative thermal management using origami-inspired designs. These works appear in top journals like Applied Energy , IEEE Transactions , and Journal of Energy Chemistry . Associate Editor, IET Power Electronics Editorial Board Member, Journal of Energy Storage Founding Board Member, Vehicles Guest Editor, Applied Energy , Journal of Cleaner Production , Energy General Chair, ICEEE2018 Program Chair, CoEEPE2023 Professor Shen actively supervises PhD and Master’s students in areas such as battery fault diagnosis, energy storage, and control systems. His research is supported by grants from the Australian Research Council, Department of Industry, Science and Resources, and industry partners. He leads projects on intelligent energy management, battery testing, and EV control systems. His lab explores cutting-edge topics including solid-state batteries, multidimensional sensing, and origami-based thermal solutions for battery packs.

Robert Nordonمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Advanced Manufacturing
• Medical Technologies
• +۵ مورد دیگر

Associate Professor Robert Nordon is a faculty member at UNSW Sydney's Graduate School of Biomedical Engineering. He holds an MB BS, BMedSci, and PhD, with research focusing on advanced manufacturing and medical technologies. Since 2016, he has secured over $5M in research grants for projects in point-of-care diagnostics, cell/gene therapy manufacturing, and stem cell science. Research interests span three primary domains: Developing microfluidic single-use disposables for scalable clinical cell production Modeling cardiovascular development using stem cell-based microfluidic systems Creating computational tools for single-cell analysis and lineage tracking His publications (2017-2024) demonstrate strong emphasis on microfluidic device engineering, stem cell dynamics, and biomaterials development. Recurring themes include hematopoietic stem cell expansion, cardiac cell behavior, and peptide-based biomaterials. Significant grants include: ARC Linkage Grant LP160100570: Scaling microfluidics for cell manufacture (2016-2019) ARC Linkage Grant LP160100573: 3D microstructures for medical devices (2016-2019) ARC Linkage Grant LP190100029: Electrophoretic cell sorters (2020-2023) CRC-P: Microbioreactor for affordable cell/gene therapy (2021-2023) Current research trainees include Farzaneh Ziaee and Eric Du.

Jimin Yuمشاهده پروفایل

استاد

• Paleoclimatology
• Oceanography
• Geochemistry
• +۳ مورد دیگر

Jimin Yu is a Professor at the Research School of Earth Sciences (RSES) at the Australian National University (ANU). He holds tenured positions, including ARC Future Fellow (2015–2019), and has expertise in paleoclimatology, oceanography, and geochemistry. His research focuses on the global carbon cycle, ocean circulation changes, and the development of geochemical proxies to understand past climate systems. Education: Ph.D. in Paleoclimatology (2006), University of Cambridge M.Sc. in Mineralogy and Petrology (2002), Nanjing University B.Sc. in Geology (1999), Nanjing University Research Interests: Jimin Yu's work explores interactions between the atmosphere, oceans, and land biosphere through trace element and isotopic analyses. Key areas include: Carbonate system dynamics in deep-sea environments Development of proxies for seawater pH and carbonate ion saturation Reconstruction of past ocean circulation patterns using multi-proxy approaches Recent Research Trends: His publications highlight studies on Southern Ocean CO₂ release, Pacific deep-water circulation, and the role of meltwater in North Atlantic climate variability. These projects often integrate field data with numerical models to address unresolved mechanisms in Earth's climate system. Awards & Grants: ARC Discovery Project (DP140101393), 2014–2017 ARC Future Fellowship (FT140100993), 2015–2019 Teaching & Supervision: Course convener for Palaeoclimatology and Climate Change (EMSC3027/6027) . Supervises Ph.D. students in carbon cycle dynamics and paleoceanography, with current funding opportunities for motivated candidates. Labs & Facilities: Utilizes cutting-edge instrumentation like Neptune MC-ICP-MS and prepFAST MC systems for trace element analysis, supporting high-precision geochemical studies.