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.

Mohsen Kalantariمشاهده پروفایل

دانشیار

• Geospatial Engineering
• Construction Engineering
• Building Information Modelling (BIM)
• +۷ مورد دیگر

Associate Professor Mohsen Kalantari is a Geospatial Engineering academic at the University of New South Wales (UNSW) School of Civil and Environmental Engineering , with concurrent roles as co-founder of the startup Faramoon . His career spans roles at the University of Melbourne's Department of Infrastructure Engineering and Victorian government's land administration initiatives through DELWP. Education : PhD in Geomatics Engineering (2008, University of Melbourne), Master of GIS Engineering (2004), Bachelor of Surveying Engineering (2001) His research bridges geospatial engineering with construction automation , focusing on 3D cadastre , BIM-GIS integration , and smart cities . Recent publications show trends in underground land administration , digital twins , and LADM standard implementations . Scientific Awards : National educational recognition (2019), Victorian educational grants (2018), and prestigious fellowships (2012) As a supervisor , he guides PhD candidates in topics ranging from BIM for waste management to underground cadastral systems . His industry engagement includes partnerships with the United Nations , Open Geospatial Consortium , and Singapore Land Authority .

• Service Science
• Digital Services
• Artificial Intelligence (Chatbots)
• +۷ مورد دیگر

Dr. Alireza Nili is a Senior Lecturer in Service Science at QUT's School of Information Systems within the Faculty of Science. His expertise spans digitization of customer-centric services, AI/chatbots, IoT/IIoT, and sustainable technologies. He holds a PhD from Victoria University of Wellington and has coordinated large-scale courses like IT Systems Design (IFB103), achieving top teaching scores. Nili's research focuses on service ecosystems, trust in digital services, and public/retail sector innovations. He has secured over $1.4M in industry grants for projects involving Cisco, Amazon, and Services Australia. His awards include the 2023 Educator of the Year and multiple top conference paper recognitions. Nili supervises PhD students at Level 3 mentoring status and contributes to major conferences as track chair/associate editor. Research highlights include frameworks for chatbot governance, IOT in agriculture, and AI ethics. His work appears in IEEE Software , Communications of the ACM , and MIT Sloan Management Review . Current projects address consumer trust in AI technologies and spatial data systems. Nili's interdisciplinary approach combines design science with empirical methodologies to bridge theory and practice in digital service innovation.

• Invasive Species Ecology
• Conservation Biology
• Population Dynamics
• +۴ مورد دیگر

Richard DUNCAN is a Professor in Conservation Biology at the University of Canberra's Science School and Department of Centre for Conservation and Ecology Genetics. His research focuses on the ecology of invasive species, particularly understanding how introduced species arrive, establish, and spread in new environments. Key areas include invasive weeds and pests, ecological community structure, and applying quantitative methods to address both fundamental and applied ecological questions. Education: PhD in Forest Ecology, University of Canterbury (1989, award date noted as 2024 in text) Research Interests: His work spans invasive species ecology, population dynamics, and restoration strategies. He employs diverse methods including field experiments, modeling, and genomics, with recent focus on grasslands and aquatic systems. Current projects address amphibian chytrid fungus, carp invasions, and rodent control. Articles Trends: Recent publications emphasize invasive species impacts on ecosystems, pathogen-driven niche contractions, and conservation tools like geospatial modeling and genomic simulations. Themes include species distribution modeling, pest management, and restoration ecology. Awards & Grants: Lead investigator on 35+ projects, including ARC Plant Biosecurity Training Centre and chytrid fungus mitigation efforts Associate Editor for Proceedings of the Royal Society B and Diversity and Distributions Advising: Accepting PhD students in invasive species ecology, with focus on using biological invasions to explore ecological theory and management applications. Labs/Teams: Collaborates widely on conservation genetics, aquatic invasions, and biosecurity, including work with the Biological Heritage Science Challenge and Indigenous Grasslands Trust.

• Robust Statistics
• Dimension Reduction
• Meta-Analysis
• +۳ مورد دیگر

Professor Luke Prendergast is the Deputy Dean of the School of Computing, Engineering & Mathematical Sciences (SCEMS) at La Trobe University (LTU) and holds a Professorship in the Department of Mathematics and Statistics. He previously served as Head of Department (2014–2020) and led LTU's Statistics Consulting Platform. His research focuses on robust statistics, meta-analysis, dimension reduction, and applied statistics, leading the DRAMA research group. Collaborations span fields like endocrinology, disability studies, and respiratory health. He actively contributes to research grants, including projects on Prader-Willi syndrome and exercise for disability populations. Professor Prendergast's recent work emphasizes statistical software development (e.g., the rquest package) and applications in biostatistics, such as metabolomics analysis and health intervention fidelity. His articles address topics like quantile-based hypothesis testing, geospatial accessibility for disability care, and motivational interviewing efficacy. Professional roles include NHMRC grant review panels, editorial boards for Nutrients and Respirology , and leadership in the Statistical Society of Australia (SSA Vic). His teaching includes courses in meta-analysis, linear models, and data-based critical thinking. Grants funded projects on exercise programs for cerebral palsy populations and community-university partnerships for disability inclusion. Luke's work bridges statistical theory with real-world health challenges, emphasizing robust methodologies and interdisciplinary collaboration.

Alessio Russoمشاهده پروفایل

مدرس ارشد

• Urban Green Infrastructure
• Nature-Based Solutions
• Urban Ecosystem Services
• +۶ مورد دیگر

Dr. Alessio Russo is a Senior Lecturer in Landscape Architecture at the School of Architecture and Built Environment, Queensland University of Technology (QUT). As a recognized expert in urban ecosystem services and green infrastructure, his research bridges environmental design with human health and climate change mitigation. His research emphasizes enhancing urban human health and wellbeing through biodiverse green spaces, participatory design, and nature-based solutions that address thermal comfort, pollution removal, food production, and water runoff. Key projects include 2023-2024: Urban rewilding aesthetics & people's needs in blue/green infrastructure (UKRI RECLAIM Network Plus) 2023: Climate-resilient public spaces (RPA Small Grants, UoG) 2021-2022: Shared vision for urban greening (UCL & Net Zero Innovation Programme) His scholarly output spans 2014-2025, focusing on nature-based urban regeneration aligned with SDG 11. He serves as Associate Editor for Urban Agriculture and Regional Food Systems and sits on editorial boards of Urban Planning, Discovering Cities, and Urban Resilience and Sustainability. Professional memberships include IFLA, ICOMOS-IFLA, and IUCN CEM.

Stuart James Khanمشاهده پروفایل

استاد مدعو

• Water Quality
• Water Recycling
• Chemical Contaminants in Water
• +۶ مورد دیگر

Professor Stuart James Khan is an Adjunct Professor in the School of Civil & Environmental Engineering at the University of New South Wales (UNSW). He previously served as Director of the Australian Graduate School of Engineering (AGSE). His research focuses on sustainable urban water management, water treatment processes, and chemical contaminant analysis. Khan holds a PhD in Environmental Engineering from UNSW (2003) and a BSc (Hons 1 in Organic Chemistry) from the University of Sydney (1995). His research interests include water recycling, desalination, disinfection byproduct formation, and the safe management of chemical contaminants. He has advised over 15 PhD students on topics ranging from advanced treatment technologies to risk assessment frameworks. Khan has published extensively, with over 200 journal articles and 18 book chapters, emphasizing interdisciplinary approaches to water quality challenges. Key contributions include advancing membrane bioreactor performance, optimizing water recycling systems, and assessing risks associated with emerging contaminants. His work bridges fundamental science and practical engineering solutions, addressing global water security challenges. Current projects explore wastewater-based epidemiology, PFAS remediation, and climate-resilient water infrastructure. Khan collaborates internationally on water reuse strategies and has contributed to policy frameworks for safe water management. His teaching spans courses like Water & Wastewater Treatment and Environmental Risk Analysis, reflecting his commitment to educating future engineers in sustainable practices.

• Cybersecurity and privacy
• Privacy protection
• AI and machine learning
• +۴ مورد دیگر

Dr. Bo Liu is an Associate Professor in the School of Computer Science at the University of Technology Sydney (UTS), where he serves as a core member and director of the AI Security and Privacy (AISP) Research Lab at the Australian Artificial Intelligence Institute (AAII). With expertise spanning cybersecurity, privacy protection, AI and machine learning, and wireless communications, Dr. Liu has established himself as a leading researcher in the field of AI security and privacy. Dr. Liu earned his PhD from the Department of Electronic Engineering at Shanghai Jiao Tong University in 2010. His academic journey at UTS has progressed from Senior Lecturer (November 2019-December 2022) to his current position as Associate Professor (January 2023-present). Dr. Liu's research focuses on the critical intersection of artificial intelligence and security, particularly addressing emerging threats in the age of advanced AI systems. His work spans multiple dimensions of security and privacy, including deepfake detection, privacy-preserving data synthesis, AI model security, and fair machine learning. He has pioneered approaches to detect AI-generated content, protect visual privacy through de-identification techniques, and address the complex relationship between algorithmic fairness and privacy preservation. His publication record demonstrates significant contributions across multiple cutting-edge research areas, with particular emphasis on detecting and mitigating threats from generative AI systems. His recent work reveals a strong focus on deepfake detection across multiple modalities (images, video, and audio), privacy-preserving techniques for sensitive data, and the security implications of emerging AI architectures like Retrieval-Augmented Generation systems. Dr. Liu has secured substantial research funding, including as Lead Chief Investigator on multiple ARC Discovery and Linkage Projects, totaling over $3.5 million AUD. His industry collaborations include partnerships with the NSW Department of Planning and the Reserve Bank of Australia, demonstrating the practical applicability of his research. As an academic leader, Dr. Liu serves as Associate Editor for IEEE Transactions on Broadcasting and actively contributes to the academic community through conference organization, peer review for top-tier venues, and assessment for ARC grant schemes. He also teaches courses including Penetration Testing, Ethical Hacking and Offensive Security, and supervises Masters and PhD students in cybersecurity and privacy research.

Jes Sammutمشاهده پروفایل

استاد

• Aquaculture
• Marine Science
• Environmental Impact Assessment
• +۷ مورد دیگر

Professor Jes Sammut is a faculty member at the University of New South Wales (UNSW) in the School of Biological, Earth & Environmental Sciences . He serves as Deputy Dean for External Engagement and leads the UNSW Aquaculture Research Group , while also holding the position of Deputy Director (International) at the Centre for Marine Science & Innovation. Additionally, he is an Honorary Research Fellow at ANSTO , where he uses nuclear tools to study seafood provenance. His research spans biological, physical, and social sciences, focusing on aquaculture solutions across Australia, Vietnam, Papua New Guinea, Indonesia, India, Thailand, and the Philippines.

Ben Matherمشاهده پروفایل

پژوهشگر ارشد

• Enigmatic Volcanoes
• Groundwater Flow
• Critical Minerals and Green Energy
• +۳ مورد دیگر

Ben Mather is a Research Fellow in the School of Geosciences at The University of Sydney, specializing in geodynamic modeling and Earth system processes. He leads the EarthByte Group's efforts to integrate numerical models with geophysical data, focusing on volcanic systems, groundwater dynamics, and critical mineral exploration. His work bridges geoscience and climate change mitigation strategies, influencing national and international policy discussions. Education: PhD in Earth Science, The University of Melbourne (2016) Bachelor of Science (Hons), Monash University (2011) Diploma of Film and Television, Monash University (2010) Research Interests: Enigmatic volcanic activity patterns and their tectonic drivers Groundwater flow pathways under climate extremes Carbon sequestration via tectonic processes Development of open-source geodynamic tools like Stripy and PyCurious Notable Projects: Project Volcanoes Downunder: Investigating volcanic chains in the Tasman Sea Groundwater modeling for southeastern Australia's aquifers Thermal structure studies in Ireland and Australia using Bayesian inversion His computational frameworks, built on PETSc and Python, enable large-scale simulations of Earth's thermal and hydrological systems. Mather actively engages in public science communication through media interviews and educational workshops.

Ehsan Nabaviمشاهده پروفایل

مدرس ارشد

• Responsible Innovation
• Artificial Intelligence (AI) Ethics
• Human-AI Interaction
• +۷ مورد دیگر

Dr Ehsan Nabavi is a Senior Lecturer in Technology and Society at the College of Asia and the Pacific (CPAS), Australian National University (ANU). He leads ANU’s Responsible Innovation Lab, focusing on responsible computing, modeling, and AI ethics. His interdisciplinary work bridges technical and social sciences, particularly addressing wicked problems in sustainability and water governance. Current Affiliation: ANU (CPAS), since 2020 Former Roles: Research Fellow at ANU School of Cybernetics (2018–2020), Harvard Kennedy School (2016–2017) Visiting Positions: SOAS University of London, University of Bonn (ZEF) His research spans responsible AI , transdisciplinary modeling , and socio-technical systems , as reflected in his publications across journals like Nature Humanities and Social Sciences Communications , IEEE Transactions on Technology and Society , and Water Alternatives . His recent articles emphasize ethical AI deployment, human-water systems, and integrating social aspects into modeling. Labs: Responsible Innovation Lab (ANU) Future Work: Developing frameworks for responsible AI in sustainability and policy contexts

Johnson Xuesong Shenمشاهده پروفایل

دانشیار

• Digital Twins
• Building Information Modeling (BIM)
• Construction Automation
• +۵ مورد دیگر

Dr. Johnson Xuesong Shen is an Associate Professor at the School of Civil and Environmental Engineering , University of New South Wales . His work integrates Digital Twins , Building Information Modeling (BIM) , and Construction Automation with a focus on robotics, AI, and LiDAR/UAS technologies. Research Interests: Digital Twins, BIM, Construction Robotics, Emissions Modeling, LiDAR/UAS, Structural Health Monitoring Education: Ph.D. in Construction Engineering and Management, The Hong Kong Polytechnic University His publications span 2025–2005, emphasizing construction automation , environmental impact reduction , and innovative tunneling solutions . Recent work includes IoT-Bayes fusion for real-time safety monitoring and life cycle analysis of construction waste. Scientific Awards: Vice Chancellor's Award for Teaching Excellence, UNSW, 2014 Best PhD Student Paper Award, CONVR, UK, 2013 Postdoctoral Fellowship, University of Alberta, 2011-2013 Best Paper Award, ASCE Construction Research Congress, 2010 Dr. Shen mentors 9 PhD candidates in areas like 3D object detection , fuel consumption modeling , and UAV-based LiDAR . His grants include $5.98M from the Australian Research Council (2022–2027) for resilient infrastructure systems and projects on modular construction and intelligent tunneling .

• Geomatic Engineering
• Remote Sensing
• GIS Programming and Visualization
• +۶ مورد دیگر

Dr. Zhenyu Zhang is a Lecturer in Surveying and Spatial Science at the School of Surveying and Built Environment , University of Southern Queensland (Springfield Campus). With over 20 years of tertiary teaching experience, he specializes in geomatic engineering, GIS programming, remote sensing, and machine learning applications for geospatial data analysis. His work focuses on LiDAR technologies (terrestrial and airborne) for environmental management, 3D modeling, and high-resolution DEM generation. Member of Surveying and Spatial Science Institute (SSSI), Australia Member of Modelling and Simulation Society of Australia and New Zealand Member of International Global Navigation Satellite Systems (IGNSS) His research integrates geomatics with environmental geoscience, emphasizing forest biomass estimation, carbon accounting, and BIM development using laser scanning. He teaches foundational and advanced courses in surveying, geodetics, GIS programming, and research projects at both undergraduate and postgraduate levels.

• Decision Intelligence
• Strategic Management
• International Management
• +۵ مورد دیگر

Dr. Roger Moser is a Senior Lecturer at Macquarie University's Department of Management Innovation, Strategy and Entrepreneurship Research Centre. He also holds adjunct roles at the Indian Institute of Management Udaipur (since 2012) and the University of St. Gallen (since 2012). His research focuses on Decision Intelligence, Strategic Management, and International Management, particularly exploring how executives leverage data (small/big) to enhance decision-making frameworks. He has over 99 publications since 2005, with notable works in journals like Journal of Service Research and Journal of Business Research . Dr. Moser holds a Dr. rer. pol. from EBS European Business School (2006) and a lic. oec. HSG (MSc) from the University of St. Gallen (2003). His research interests include Decision Model Innovation, Social Capital in emerging markets, and strategic alignment in supply chains. He has conducted impactful studies on access-based services in India, supplier integration in China's automotive sector, and humanitarian logistics using satellite data. His recent work emphasizes technology integration in B2B value creation, decision frameworks for uncertainty reduction (e.g., in agriculture and disaster management), and AI-driven expert systems. He has presented at global forums on topics like digital transformation and decision intelligence applications, contributing to both academic and practitioner discourse. External Roles: Adjunct Professor of Business Policy, Indian Institute of Management Udaipur Titularprofessor / Permanent Lecturer, University of St. Gallen Notable impacts include a project providing clean drinking water in India through access-based solutions, recognized for quality-of-life and societal contributions. His research has been cited over 1,666 times with an h-index of 21.

• Information Systems Methodologies
• Artificial Intelligence
• Agent Systems
• +۸ مورد دیگر

Prof Ghassan Beydoun is a Professor and Head of Discipline (Information Systems) at the School of Computer Science, University of Technology Sydney (UTS). He leads the Information Systems discipline and is affiliated with the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). His research focuses on AI-driven systems, agent-based modelling, ontologies, and disaster management, with notable contributions to knowledge graphs, enterprise architecture, and IoT applications. Beydoun actively supervises Masters and PhD students in these domains. His research interests span metamodelling, agent systems, and AI applications in disaster management (e.g., flood, landslide, and earthquake risk assessment), health systems, and smart infrastructure. He has pioneered frameworks for reproducible machine learning solutions, digital identity systems, and cloud migration strategies. Beydoun’s work integrates interdisciplinary methods, such as bibliometric analysis for journal evolution and XAI for spatial hazard prediction. Recent publications highlight his expertise in AI for climate-induced hazard modelling, agent-based knowledge transfer mechanisms, and metaverse applications in education. His funded projects include AI-powered circular economy initiatives, smart beach safety systems, and health data querying frameworks. Beydoun collaborates with industry partners like CSIRO, Capsicum Business Architects, and Data Zoo, translating research into practical solutions for enterprise architecture, cybersecurity, and public health.