جست‌وجوی استاد و پژوهشگر

Paulo De Souzaمشاهده پروفایل

استاد

• Engineering
• Environmental Science
• Planetary Science
• +۴ مورد دیگر

Professor Paulo De Souza is the Executive Dean of the School of Engineering at Edith Cowan University (ECU). With over two decades of experience, he bridges science, industry, and society, focusing on engineering solutions for environmental challenges, Mars exploration, and industrial processes. His career includes roles as Dean (Research) at Griffith University, Science Director at CSIRO, and Collaborating Scientist with NASA’s Mars Exploration Rover program. Education: PhD (Dr rer. nat.) in Physics from Johannes Gutenberg Universität, Mainz Master’s in Mechanical Engineering from UFES, Brazil Research Interests: Environmental monitoring via sensor networks and machine learning Planetary science and Mars geology RFID technology for ecological studies Verification and validation of aerospace systems Key Awards: Fellowships from Australian Computer Society, Governance Institute of Australia, and Engineers Australia Contributor to 2004 Science Magazine Breakthrough of the Year Advising & Grants: Leadership in interdisciplinary research teams Experience in securing industry and government funding for large-scale projects Labs & Teams: Active in environmental sensor network design, Mars rover data analysis, and bioengineering projects involving stingless bees.

• Cybersecurity
• Mechanism Design
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Mingyu Guo is a Senior Lecturer in the Department of Computer Science at the University of Adelaide, within the School of Computer and Mathematical Sciences. His research focuses on interdisciplinary areas including cybersecurity, mechanism design, artificial intelligence, network optimization, and game theory. He is actively involved in supervising students at the Masters and PhD levels, as indicated in his profile. Key research interests include: Cybersecurity defense mechanisms for Active Directory systems using reinforcement learning and graph neural networks Automated mechanism design frameworks with applications in auctions and public projects Optimization of energy systems, particularly battery storage and renewable energy integration Multi-document summarization techniques in natural language processing Evolutionary algorithms for diversity optimization and network analysis Recent publications emphasize innovative solutions for dynamic network security, VCG redistribution mechanisms, and interdisciplinary applications of AI. He maintains an academic homepage at https://mingyuguo.github.io/ .

• Service-Oriented Computing
• Robotic Process Automation
• Crowdsourcing
• +۳ مورد دیگر

Professor Renuka Sindhgatta Rajan is affiliated with Queensland University of Technology (QUT) under the School of Information Systems . She is a leading academic in service-oriented computing, robotic process automation, and business process management. Her research focuses on: Interpretable AI for predictive process analytics Crowdsourcing dynamics and task allocation Intelligent tutoring systems and educational technology Context-aware resource allocation in service systems Human-AI interaction in business processes Recent publications span 2021–2018, covering robotic process automation architectures, crowdsourcing analysis, and AI-driven educational tools. Her work appears in top-tier venues like Decision Support Systems , Communications of the ACM , and IEEE Access .

• Higher Education Teaching and Learning
• Student Evaluation Systems
• Workplace Democracy
• +۵ مورد دیگر

Abby Cathcart is an Associate Professor in the School of Management at Queensland University of Technology (QUT) Business School, with a distinguished research career spanning over 15 years since completing her PhD at the University of Leicester in 2009. Her academic journey shows a clear evolution from workplace democracy studies to contemporary educational technology and decolonizing methodologies. Her research interests focus on Higher Education Teaching and Learning , Student Evaluation Systems , Workplace Democracy , Flexible Work Arrangements , and increasingly Indigenous Research Methodologies . Early in her career, she conducted seminal research on the John Lewis Partnership as a case study in organizational democracy, which formed the basis of her PhD thesis. More recently, her work has addressed critical issues in student feedback systems, particularly developing methods to screen abusive comments while preserving valuable insights. Cathcart's publication trajectory reveals a significant shift in focus. Her recent work (2023-2025) centers on Educational Technology and AI implementation in higher education, with particular attention to ethical considerations in student evaluations and decolonizing research methodologies. She has led important research on detecting abusive comments in student evaluations and understanding Australian university staff's engagement with generative AI. Co-authored a major 2024 report Apostles, Agnostics and Atheists: Engagement with Generative AI by Australian University Staff through QUT Centre for Decent Work and Industry Developed innovative approaches to protect academics from abusive student comments while maintaining useful feedback Contributed significantly to understanding flexible work arrangements in various organizational contexts Her collaborative approach is evident through frequent partnerships with colleagues like Sam Cunningham, Melinda Laundon, and Paula McDonald. Cathcart's work bridges theory and practice, often resulting in actionable insights for educational institutions and workplaces. She serves as an important voice in contemporary debates about technology in education, evaluation ethics, and creating supportive academic environments.

• Fog Computing
• Edge Computing
• Internet of Things
• +۵ مورد دیگر

Dr. Ranesh Naha is a Senior Lecturer in the School of Information Systems at Queensland University of Technology (QUT). His academic focus lies in distributed computing, cybersecurity, and emerging technologies like Fog/Edge Computing, IoT, and Blockchain. He holds a PhD from the University of Tasmania. Research interests include Fog Computing architectures, cybersecurity solutions for IoT systems, blockchain applications in distributed environments, and edge intelligence. He has published extensively in top-tier journals/conferences, with notable works on automated medical services during pandemics, coral reef surveillance via machine learning, and AI-driven financial market analysis. Current: Senior Lecturer at QUT PhD: University of Tasmania Active supervision of postgraduate research students

• Drone-based Remote Sensing
• Autonomous UAV Decision-Making
• Machine Learning
• +۶ مورد دیگر

Dr Juan Sandino Mora is a Research Fellow in Remote Sensing at Queensland University of Technology (QUT), affiliated with the School of Electrical Engineering & Robotics and the Centre for Robotics. He specializes in developing drone-based solutions for environmental monitoring, biosecurity, and precision agriculture, with a focus on Antarctica's ecological conservation through advanced remote sensing technologies. Education: Doctor of Philosophy (Queensland University of Technology) Bachelor of Engineering (Mechatronics) Research Interests: His work centers on autonomous UAV decision-making, machine learning for object detection, and hyperspectral image processing. Key areas include environmental monitoring in Antarctica, automated search and rescue, and biosecurity applications. He leverages AI and sensor fusion to enhance UAV capabilities in challenging environments. Publications Trends: Recent work emphasizes UAV path planning algorithms, Antarctic vegetation monitoring, and AI-driven pest detection. His 2025 publications highlight advancements in Antarctic lichen mapping and multi-UAV coordination for environmental surveillance. Advising & Grants: No explicitly listed students, though involvement in collaborative projects suggests active research mentoring. Projects include Securing Antarctica’s Environmental Future and UAV-based biosecurity initiatives. Labs/Teams: Participates in QUT's Centre for Robotics and the Securing Antarctica's Environmental Future initiative, advancing autonomous systems for polar ecosystems and precision agriculture.

Kevin Witzenbergerمشاهده پروفایل

پژوهشگر ارشد

• AI Ethics
• Education Technology
• Science and Technology Studies
• +۵ مورد دیگر

Dr Kevin Witzenberger is a Research Fellow at Queensland University of Technology (QUT) in the GenAI Lab, affiliated with the ARC Centre of Excellence for Automated Decision-Making and Society. He holds a PhD from the University of New South Wales (2023) and a Master's from Lund University. His research focuses on AI ethics, education technology, and sociotechnical systems, examining the intersection of human-AI interaction, governance, and digital disruption. Dr Witzenberger co-leads discussions on generative AI implications for society and has contributed to policy submissions on AI regulation. His work spans topics like AI in education governance, platform pedagogies, and technical democracy. Notable outputs include 'Automating Education' (2023) and 'GenAI Arcade' (2025), exploring AI's role in education systems and public understanding. He collaborates widely, including with institutions like the QUT Digital Media Research Centre (DMRC). Dr Witzenberger emphasizes technical democracy, advocating for equitable AI governance. His research bridges critical theory with practical applications, addressing algorithmic bias, EdTech assessment tools, and regulatory frameworks for emerging technologies.

Jacob Woodمشاهده پروفایل

دانشیار

• International Trade Negotiation
• Non-Tariff Barriers in Trade
• Financial Performance Analysis
• +۵ مورد دیگر

Associate Professor Jacob Wood serves as Associate Dean of Research at James Cook University (Singapore Campus) and specializes in international trade negotiation, non-tariff barriers, and employee engagement in HRM. He holds a PhD in International Studies from Sogang University, a Master of Management (Banking) from Massey University, and dual Bachelor degrees from Otago University. Doctor of Philosophy (PhD), Sogang University Master of Management (Banking), Massey University Bachelor of Commerce (Management), Otago University Bachelor of Tourism, Otago University Graduate of Australian Institute of Company Directors (GAICD) His research examines the intersection of economic development and sustainability in the Tropics, with a focus on trade policy impacts, digital transformation in tourism, and carbon emission mitigation. His recent work includes studies on low-carbon tourism models, blockchain applications in fishery supply chains, and trade war effects on global value chains. Key trends in his publications include: Trade Policy Analysis (US-China, Belt and Road Initiative) Sustainable Tourism and Carbon Pricing Technology Adoption in Logistics Digital Transformation in Manufacturing Environmental Resilience in Developing Economies Trade Facilitation and Economic Growth Previously, he held academic roles at Korea University of Technology and Education and Chungnam National University (South Korea). His work appears in journals such as Journal of Cleaner Production , Sustainability , and World Trade Review .

Ghazalnaz Sharifonnasabiمشاهده پروفایل

مدرس

• Artificial Intelligence
• Medical AI
• Pattern Recognition
• +۳ مورد دیگر

Dr. Ghazalnaz Sharifonnasabi is a Lecturer in the Department of Information Technology at James Cook University (Singapore Campus). She holds a PhD in Computer Science from Taylor University, alongside a Master of Arts in Science Technology and Sustainability and a Bachelor of Education in Business Information Technology. Her research focuses on AI-driven medical imaging applications, particularly bone age estimation using machine learning, which has been patented. She has extensive experience in IT network management, web development, and academic teaching. Education: Doctor of Philosophy (PhD), Computer Science, Taylor University Master of Arts (Fine Arts), Science Technology and Sustainability, University of Malaysia Bachelor of Education (Arts/Crafts), Business Information Technology, Staffordshire University British Diploma in Computer and Information Technology, NCC Education Research Interests: Her work emphasizes Pattern Recognition , Medical AI , Computer Vision , and Document Image Analysis . Her PhD thesis developed a patented bone age estimation method using dental radiography to assist refugees lacking age documentation. Current projects explore global applications of this technology. Publications Overview: Her articles span AI in medical diagnostics (e.g., breast cancer prediction), hybrid machine learning models for age estimation, and digital transformation in SMEs. Recent work includes Bayesian statistical methods and metaverse applications in Halal services. Awards & Recognition: 2018 Vice Chancellor's Scholarship (Taylor University) Advanced Scholarship for Master's Degrees Advising & Collaboration: While no formal advisees are listed, she has collaborated with Nivan Company on web development projects and serves as a journal referee. Her teaching spans undergraduate and graduate IT courses. Labs/Teams: Active in James Cook University's School of Science and Technology, contributing to interdisciplinary AI initiatives.

Michael Thielscherمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Robotics
• General Game Playing
• +۲ مورد دیگر

Professor Michael Thielscher is a Professor at the School of Computer Science and Engineering, UNSW. He is internationally recognized as Australia's highest-ranked scholar in Artificial Intelligence (ScholarGPS 2022/23/24) and a leader in General Game Playing, Cognitive Robotics, and Knowledge Representation. He holds a PhD from Darmstadt University (1994) and was previously an Associate Professor at Dresden University before joining UNSW. His accolades include the 2009 ARC Future Fellowship and the 1998 Darmstadt University Alumni Award for Research Excellence. He co-developed the award-winning FluxPlayer, World Champion in the AAAI General Game Playing Competition (2006). He has authored over 200 refereed papers and five books, and serves as Program Chair for IJCAI-28 and former President of KR Inc. His research spans AI foundations, autonomous agents, and epistemic reasoning in games. Education: Postgraduate Diploma (1992) and PhD (1994), both with distinction from Darmstadt University. Career highlights include leadership roles at Dresden University and contributions to AI competitions, conferences, and educational initiatives. His work emphasizes bridging symbolic AI with deep learning, particularly in dynamic environments requiring strategic reasoning. Research Interests: Artificial General Intelligence Epistemic Reasoning in Games Robotics and Autonomous Systems Formal Methods in AI Awards & Recognition: Top-ranked AI scholar in Australia (ScholarGPS) ARC Future Fellowship (2009) World Champion FluxPlayer (2006) Leadership & Service: Conference chairs (KR'20, IJCAI-28), editorial roles, and international advisory positions. His contributions to AI education and competition frameworks have global impact.

Brett Molesworthمشاهده پروفایل

استاد

• Human Factors
• Aviation Safety
• Cognitive Psychology
• +۴ مورد دیگر

Professor Brett Molesworth is a Professor of Human Factors and Aviation Safety at the School of Aviation, University of New South Wales . A qualified pilot with a Commercial Pilot Licence and advanced aerobatics rating, he focuses on aircrew and cabin crew behavior in normal and abnormal situations. His research develops tools to measure pilots' risk propensity, including an implicit association test for risky flying behavior, and applies techniques to enhance risk management skills. Key research areas include Aircraft noise effects on communication and cognitive performance Noise-cancelling headphone efficacy Cross-industry safety applications (road, medicine) Young driver speed management interventions Runway incursion prevention Pilot mental health during crises Recent publications span Drone Systems , Safety Science , and Transportation Research Part F , addressing topics like integrated airspace operations, noise-induced cognitive fatigue, and communication errors. His work has earned multiple Human Factors and Ergonomics Society awards and competitive ARC grants for driver safety and noise research. Scientific awards include Human Factors and Ergonomics Society Training Technical Group Best Student Paper Award (2018, 2015) Alan Welford Award for Best Journal Paper (2014) Grants funded projects on Young driver speed management (2022, 2018) Runway incursion prevention (2022) Aviation headset noise reduction (2018) Learned helplessness in noisy environments (2018)

Daniel Wedgeمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Machine Learning
• Data Visualization
• +۷ مورد دیگر

Daniel Wedge is a Principal Research Fellow at the University of Western Australia's School of Earth Sciences, affiliated with the Centre for Data-driven Geoscience. He holds a Ph.D. in computer science and has industry experience in image/video processing algorithms. His research focuses on applying machine learning and computer vision to geophysical/geological datasets for automated analysis. Education: Ph.D. in Computer Science (details not specified). Research interests include computer vision, machine learning, data visualization, and their application to mineral exploration, iron ore analysis, and geophysical survey techniques. He contributes to UN Sustainable Development Goals related to industry and resources. Recent work highlights integration of neural networks with geophysical data (e.g., potential field analysis, FTIR spectroscopy), machine learning-enhanced magnetic grid resolution, and 3D geochemical modeling. His articles span 2021–2025, emphasizing interdisciplinary applications. Award: Vice Chancellor’s Award in Impact and Innovation (2015) Key grants include projects on data fusion for drillhole analysis (2018–2021), geological interpretation tools (2014–2017), and reducing 3D geological uncertainty (2014–2018). He collaborates with industry partners like Technological Resources Pty Ltd and the Geological Survey of Western Australia. His work is centered at the Centre for Data-driven Geoscience, advancing computational methods for geoscientific challenges.

• Agricultural Engineering
• Precision Agriculture
• Remote Sensing
• +۷ مورد دیگر

Associate Professor Troy Jensen is affiliated with the School of Agriculture and Environmental Science at the University of Southern Queensland . His work bridges Agricultural Engineering and Precision Agriculture , with a focus on Unmanned Aerial Vehicles (UAVs) , Controlled Traffic Farming , and Soil-Tool Interactions . Education: BEng (1983), MEng (1991), PhD (2009) from the University of Southern Queensland. Research Interests: His work spans Machine Learning in Agriculture , Grain Storage , and Biomass Utilization , addressing efficiency and sustainability in farming systems. Scientific Awards: Recognized as a Fulbright Scholar (2023) , supported by the Kinghorn Foundation. Grants: Key projects include Developing site-specific tools for herbicide reduction (2017), Training in Conservation Agriculture (2017), and Precision Agriculture for Sugar Industry (2015). Supervision: Currently supervises doctoral research on Automated Sugarcane Replanting and Airborne Pest Monitoring , with completed work on Soil Compaction and Mechanical Harvesting . Professional Memberships: Active in Australian Society of Sugarcane Technologists (ASSCT) , American Society of Agricultural and Biological Engineers (ASABE) , and international agronomy societies.

Mehrisadat Makki Alamdariمشاهده پروفایل

مدرس ارشد

• Structural Health Monitoring
• Structural Dynamics
• Signal Processing
• +۳ مورد دیگر

Dr. Mehrisadat Makki Alamdari is a Senior Lecturer in the School of Civil and Environmental Engineering at the University of New South Wales (UNSW). She specializes in Structural Health Monitoring (SHM), structural dynamics, signal processing, and data mining. Her research bridges theoretical innovations with real-world infrastructure applications, including landmark projects on the Sydney Harbour Bridge and Gateway Bridge. Education: Ph.D. in Civil Engineering, University of Technology Sydney (2012–2014) M.Sc. in Mechanical Engineering, University of Manitoba (2011) M.Sc. in Aerospace Engineering, Iran University of Science and Technology (2006–2008) B.Sc. in Aerospace Engineering, Sharif University of Technology (2002–2006) Research Focus: Her work integrates machine learning, sensor technologies, and advanced signal processing for infrastructure resilience. Key areas include bridge health monitoring via drive-by inspections, piezoelectric energy harvesting, and damage detection using ultrasonic and computer vision techniques. Recent publications emphasize data-driven methodologies, unsupervised learning, and multi-sensor fusion for structural diagnostics. Awards & Honors: ARC Discovery Early Career Research Award (DECRA) JSPS Award (Japan Society for Promotion of Science) ITS Australia National Award (2020) Most Practical SHM Solutions Award (Stanford University, 2015) Best Paper Award (SHMII-8, 2017) Leadership & Service: She serves on the executive committee of the Australian Network of Structural Health Monitoring (ANSHM) and is an Associate Editor for Elsevier journals. She has secured over $5.5M in grants, including an ARC DECRA grant and a $5M Industrial Transformation Hub for resilient infrastructure.

• Coastal Engineering
• Shoreline Change Modeling
• Coastal Erosion
• +۵ مورد دیگر

Associate Professor Kristen Splinter is an academic at the University of New South Wales (UNSW Sydney), affiliated with the School of Civil and Environmental Engineering and the Water Research Laboratory (WRL). She holds a Ph.D. in Geological Oceanography from Oregon State University (2009), an M.Sc. in Coastal and Oceanographic Engineering from the University of Florida (2004), and a B.Sc. in Civil Engineering from Queen's University (2002). Her research addresses coastal dynamics, including shoreline modeling, erosion/recovery processes, and remote sensing applications. Her work integrates field observations, numerical modeling, and machine learning to study: Storm-driven coastal erosion and multi-decadal shoreline change Dune stability under wave forcing and sediment moisture dynamics Satellite-derived shoreline mapping using SAR-optical fusion and LiDAR Climate impacts (e.g., ENSO) on Pacific coastlines Recent publications demonstrate a focus on scalable predictive models, machine learning hybrids (e.g., mixture-of-experts frameworks), and validation of shoreline algorithms against global datasets. Her articles frequently combine coastal physics with data science to improve erosion forecasting and early-warning systems. She co-leads the #WRLCoastal research group, supervising PhDs and postdocs. She chairs UNSW's Gender Equity Working Group and co-founded the international #Coast2Coast seminar series. Editorial roles include Senior Editor for Cambridge Prisms: Coastal Futures and Associate Editor for JGR-Earth Surface . Laboratory/fieldwork involves wave tank experiments (e.g., dune erosion mechanisms), iPhone LiDAR validation, and collaboration on Australia's national storm hazard early-warning framework. Current projects explore AI-driven shoreline modeling and climate-resilient coastal management strategies.