جستجوی استاد راهنمای دانشگاهی

Ediz Cetinمشاهده پروفایل

دانشیار

• Radio Frequency Interference Detection
• Fault-Tolerant Reconfigurable Circuits
• Machine Learning Applications
• +۴ مورد دیگر

Ediz Cetin is an Associate Professor in Digital Electronics Engineering at Macquarie University's School of Engineering and a member of the Astrophysics and Space Technologies Research Centre. He serves as Course Director for the MEng Electronics Engineering program and Chair of the School's Postgraduate Coursework Committee. His research focuses on radio frequency interference mitigation, fault-tolerant reconfigurable circuits for space applications, machine learning in RF signal analysis, and low-power digital circuit design. Education: PhD in Signal Processing (Unsupervised Adaptive Signal Processing Techniques for Wireless Receivers) B.Eng. (Hons.) in Control and Computer Engineering Research Interests: RF interference detection and localization GNSS anti-jamming and spoofing detection FPGA-based reconfigurable systems Space instrumentation and CubeSat technologies Machine learning for signal processing Awards: Excellence in Learning Innovation (FSE Teaching Award, 2022) Highly Commended Finalist – Vice-Chancellor’s Award for Learning Innovation (2022) Innovative Approaches – Highly Commended (FSE Teaching Award, 2020) Key Projects: SmartSat CRC (2020–2026): Smart Satellite Technologies and Analytics Spacecraft Innovation Lab (2021–2022) CubeSat Biological Payload (2019–2022) Teaching Contributions: Led the 'Improving Student Engagement with Anywhere and Any-time Laboratory Access' initiative (2019–2020), enhancing remote lab accessibility for students.

Glen Tianمشاهده پروفایل

استاد

• Big Data Computing
• Cloud Computing
• Computer Networks
• +۱۱ مورد دیگر

Professor Glen Tian is a Professor at the School of Computer Science , Queensland University of Technology . He holds two PhDs: one in computer and software engineering from the University of Sydney (2009) and another in industrial automation from Zhejiang University (1993) . His academic career spans institutions including Hong Kong University of Science and Technology, Curtin University, and the University of Maryland at College Park. Editor-in-Chief of the Handbook of Real-Time Computing (Springer) Associate Editor for Information Sciences (Elsevier) and Asia-Pacific Journal of Chemical Engineering (Wiley) His research focuses on big data computing , cloud computing , computer networks , smart grid communication and control , networked control systems , and cyber-physical system security . Applications include power systems , medical big data , vehicular networks , and transport systems . Recent publications highlight advancements in smart grid communications , distributed optimization , secure multi-agent systems , and medical imaging analysis . He has led QUT's Big Data Lab and served as Leader of QUT's Networks and Communications Discipline . Scientific achievements include Over 20 research grants totaling >$6M 6 Australian Research Council (ARC) grants 1 MRFF-TTRA grant ($745,623) 1 ATN-DAAD Australia-Germany Collaborative Grant 1 DEST International Science Linkage grant He supervises PhD students in big data bioinformatics , smart grid optimization , and cyber-physical security , while mentoring 30+ postdocs and research fellows. Current projects include mitigating cyberattacks on power systems and developing AI-based atheroma diagnostic tools .

Tommy Chanمشاهده پروفایل

استاد

• Structural Health Monitoring
• Bridge Engineering
• Moving Force Identification
• +۲ مورد دیگر

Professor Tommy Chan is Chair in Civil Engineering at Queensland University of Technology's School of Civil and Environmental Engineering. With over $10M in research funding, his work focuses on structural health monitoring of bridges and infrastructure systems. His research group develops cutting-edge methods for assessing structural integrity using vibration analysis, optical sensors, and machine learning. Professor Chan leads major projects including the ARC-funded 'Next Generation Bridge Monitoring' initiative developing real-time monitoring systems for prestressed concrete bridges. His team's innovations include GNSS-based settlement monitoring and synergic identification methods for prestress force evaluation. Current research explores vehicle-bridge interactions, damage detection algorithms, and novel materials for impact protection. He has received numerous honors including the Vice Chancellors' Leadership Award and Top Supervisor Award. Professor Chan founded the Australian Network of Structural Health Monitoring and serves on editorial boards for multiple journals in structural engineering.

Melrose Brownمشاهده پروفایل

دانشیار

• Space Situational Awareness
• Hypersonic Aerodynamics
• Satellite Drag Modeling
• +۶ مورد دیگر

Associate Professor Melrose Brown is a faculty member at UNSW Canberra, School of Engineering and Technology, where he leads numerical space situational awareness research and coordinates the Space Masters program. He holds advanced degrees in Aerospace Engineering and specializes in applying high-fidelity simulations to satellite-environment interactions in Low Earth Orbit (LEO). Research Focus: DSMC/PIC simulations for LEO satellites Orbit propagation and determination Ionospheric drag modeling Atmospheric physics Hypersonic CFD His recent publications analyze thermospheric responses to geomagnetic storms using GITM-OVATION models, ionospheric drag effects, and numerical tools like pdFOAM. Key keywords include Space Weather, Satellite Formation Control, and Computational Fluid Dynamics. He supervises Ph.D. projects related to aerospace engineering and offers scholarships for research in LEO dynamics. His work involves collaborations on CubeSat missions (e.g., M2) and space traffic management systems.

• Geodesy
• Very Long Baseline Interferometry (VLBI)
• Space ties
• +۳ مورد دیگر

Dr. Lucia McCallum is a Senior Lecturer in Geodetic VLBI at the School of Natural Sciences, Physics, University of Tasmania. She specializes in Very Long Baseline Interferometry (VLBI) for Earth observation, focusing on measuring the Earth's shape, rotation, polar motion, and plate tectonics. Her work connects geodetic techniques (GNSS, SLR, VLBI) via space tie satellites, with leadership in the ARC DECRA-funded project and the AuScope VLBI collaboration with Geoscience Australia. PhD from Technische Universität Vienna Active since 2014 in UTAS radio astronomy group Her research bridges geodesy and astrophysics, advancing the next-generation VLBI Global Observing System (VGOS) for millimeter-level precision. This technology addresses critical geoscientific challenges like sea level rise prediction and terrestrial reference frame stability. Recent publications (2025-2014) span VGOS optimization, GNSS satellite tracking, atmospheric signal corrections, and space tie methodologies. Her work emphasizes international collaboration through the International VLBI Service for Geodesy and Astrometry (IVS) and leadership roles in the Asian Oceania VLBI Group (AOV) and IVS Working Group 7. Scientific Awards Australian Research Council DECRA Fellowship Austrian Science Fund (FWF) Schrödinger Fellowship She supervises doctoral and master's students in geodetic VLBI projects, including topics like space weather effects, dynamic scheduling, and satellite signal calibration. Her full description includes global network operations, technical innovations, and societal impact through precision geodetic infrastructure.

• Remote Sensing
• Forestry
• Geospatial Data Fusion
• +۴ مورد دیگر

Dr. Jim O'Hehir is a Researcher affiliated with the University of South Australia under the UniSA STEM school and the Sustainable Infrastructure and Resource Management (SIRM) department. He also serves as the General Manager of the Forestry Centre of Excellence at the university. His work spans interdisciplinary applications in remote sensing, geospatial analysis, and virtual reality for forestry. He collaborates with institutions like the University of Tasmania, OneFortyOne Plantations, and the National Institute for Forest Products Innovation (NIFPI), with recent grants from the Australian Government Research Training Program Scholarship , Gottstein Trust , and industry partners. Dr. O'Hehir’s research focuses on overcoming technical limitations in forest inventory systems through LiDAR data fusion , UAV-based hyperspectral imaging , and VR visualization techniques . His 2024 publications highlight innovations in 3D point cloud generation, multispectral residue assessment, and AI-driven fire suppression frameworks. He contributes to policy discussions on carbon storage optimization in timber plantations under Australia’s Emissions Reduction Fund (ERF). 2024: 3D Point Cloud Fusion Using Aerial and Terrestrial Laser Scanning 2024: Multispectral Assessment of Clean-Row Treatments 2024: Immersive VR for Forest Point Clouds 2024: AI in Fire Smoke Detection 2023: Sub-Metre Geospatial Feasibility His grants and collaborations emphasize operational efficiency in forestry, with teams like the Forestry Centre of Excellence and partnerships with Geoscience Australia and Swinburne University of Technology . Future work includes scaling onboard AI for satellite missions and refining standards for data fusion in sub-canopy environments.

• Biomechanics
• Neurological Disorders
• Clinical Exercise Physiology
• +۳ مورد دیگر

Michael Psarakis is a Lecturer at the School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University. His research focuses on biomechanics, neurological disorders, and wearable technology applications in clinical exercise physiology. He holds a PhD from Australian Catholic University (2020) examining ankle contractures in multiple sclerosis (MS). His research interests include gait analysis in MS, musculoskeletal health, and the development of reliable measurement techniques using wearable sensors. Key areas of study involve understanding the relationship between ankle mobility, gait abnormalities, and the efficacy of eccentric exercise interventions in managing MS symptoms. His work bridges clinical practice and technological innovation to improve patient outcomes in neurorehabilitation. Psarakis has published extensively on topics such as the reliability of GNSS units for sprint profiling, biomechanical properties of muscles in MS, and the application of wearable technology to assess gait stability. His studies often emphasize methodological rigor and translational impact in clinical settings. Despite no explicitly listed scientific awards, his research has garnered significant attention, with over 1,600 views and 920 downloads of his outputs to date. His research is conducted in collaboration with institutions like the Clinical Exercise Physio Research Institute and involves interdisciplinary teams focused on movement disorders, sensor technology, and rehabilitation strategies.

Roberto Sabatiniمشاهده پروفایل

استاد

• Aeronautics and Astronautics
• Aerospace Systems
• Avionics Systems
• +۷ مورد دیگر

Roberto Sabatini is an Honorary Professor at RMIT University's School of Engineering and a Professor of Aeronautics and Astronautics at Khalifa University (UAE). He holds adjunct roles at multiple institutions, including RMIT's Sir Lawrence Wackett Defence and Aerospace Centre and Chosun University in South Korea. With three decades of experience, his research focuses on aerospace systems, autonomous systems, and AI-driven solutions for aviation and space sectors. His expertise spans avionics, space domain awareness, trusted autonomy, and sustainable aviation. He leads projects funded by governments and industry partners such as Thales and NASA. Notable contributions include innovations in UAS traffic management, GNSS systems, and space debris tracking. Prof. Sabatini has authored over 300 publications and is listed in Stanford's top 2% of cited scientists (2019–present). Awards include the 2021 Distinguished Leadership Award and Scientist of the Year (2019). He chairs Khalifa University's Aerospace Research Strategy Committee and serves on IEEE's Board of Governors. Key Collaborations : ICAO, NASA, UAE Space Agency, and Korea Aerospace Research Institute. Leadership Roles : IEEE AESS Avionics Systems Panel Chair (2021–2024), Vice President of Technical Operations (2024). Research interests emphasize cyber-physical systems, space traffic management, and AI applications. His work bridges academia and industry, addressing challenges in advanced air mobility and sustainable aerospace development.

Ahmed El-Mowafyمشاهده پروفایل

استاد

• Precise GNSS Positioning
• Navigation Systems
• Estimation Theory
• +۷ مورد دیگر

Professor Ahmed El-Mowafy is a faculty member at Curtin University's School of Earth and Planetary Sciences (EPS), part of the Faculty of Science and Engineering. He leads the GNSS satellite positioning and navigation group, focusing on developing methods for high-accuracy geospatial applications in climate change, atmospheric monitoring, and infrastructure. His interdisciplinary research spans geodesy, aerospace engineering, and education. He holds a PhD from the University of Calgary and has over 30 years of expertise in GNSS and engineering surveying. Education: Doctor of Philosophy (University of Calgary, Canada) Bachelor of Civil Engineering (1st Honours, Ain Shams University, Egypt) Master of Science (Ain Shams University, Egypt) Research Interests: His work emphasizes precise positioning techniques like PPP, integrity monitoring, LEO satellite systems, and their applications in climate science, transport, and mining. He has published over 240 peer-reviewed papers and authored a book. His research also addresses educational innovations, including peer assessment and blended learning in engineering education. Awards: OLT Citation for Teaching Excellence (2013) Curtin Excellence in Teaching Award (2017) Asia-Pacific Spatial Excellence Award (2018) Grants & Leadership: Secured 20+ research grants, including ARC Discovery Projects and industry partnerships. Editorial roles in 5 journals, including Journal of Navigation and Frontiers in Environmental Science . International roles in IAG working groups on GNSS integrity and crustal motion monitoring. Lab & Collaborations: His lab collaborates globally, hosting scholars from Canada, Japan, Turkey, and China. Research focuses on LEO-PNT systems, GNSS augmentation, and real-time positioning solutions for autonomous systems.

• Satellite Navigation
• Geodesy
• Global Navigation Satellite Systems (GNSS)
• +۷ مورد دیگر

Professor Peter Teunissen is an Adjunct Professor at the School of Earth and Planetary Sciences within the Faculty of Science and Engineering at Curtin University. His research focuses on satellite navigation, geodesy, and advanced positioning techniques, with a particular emphasis on Global Navigation Satellite Systems (GNSS). He has made significant contributions to integer ambiguity resolution, Real-Time Kinematic (RTK) positioning, PPP-RTK methods, and the development of algorithms for high-precision positioning systems. Key research interests include the theoretical foundations of GNSS, ambiguity resolution techniques, signal processing, and the application of these technologies in automated systems and deformation monitoring. His work often addresses challenges such as ionospheric delay correction, robustness in constrained environments, and the integration of multi-GNSS signals. Teunissen’s publications span a wide array of topics, from theoretical advancements in mixed-integer estimation to practical applications in autonomous vehicle positioning and low-cost receiver systems. His collaborative efforts with global institutions reflect his leadership in advancing GNSS technology and its interdisciplinary applications.

Andrew Dempsterمشاهده پروفایل

استاد

• GNSS Signal Processing
• Satellite Navigation
• Space Engineering
• +۲ مورد دیگر

Professor Andrew Dempster is Director of the Australian Centre for Space Engineering Research (ACSER) and Professor in the School of Electrical Engineering and Telecommunications at UNSW Sydney. His research focuses on satellite navigation technologies and space resource utilization. Research areas include: Advanced GNSS receiver design and signal processing Lunar and deep-space navigation systems GNSS reflectometry for Earth observation Commercial viability of space resource extraction Professor Dempster leads projects on lunar navigation, small satellite technologies, and develops new methods for space-based positioning and resource characterization.

Yanming Fengمشاهده پروفایل

استاد

• Global Navigation Satellite Systems (GNSS)
• Geodetic Data Analytics
• Internet of Things (IoT)
• +۵ مورد دیگر

Professor Yanming Feng is a Professor in the School of Computer Science at Queensland University of Technology (QUT), Australia. He holds a PhD in satellite geodesy and spatial science from Wuhan Technical University of Surveying and Mapping (now Wuhan University). His research focuses on data science, GNSS algorithms, geodetic data analytics, IoT, vehicular networks, and machine learning applications. He has led major projects under ARC grants and CRC programs, including roles in the Cooperative Research Centre for Satellite Systems (CRCSS) and Automotive CRC. Education: PhD, MSc, BSc (Wuhan University) Teaching: Networks security, wireless mobile networks, spacecraft dynamics Key Research: GNSS positioning, space debris monitoring, IoT systems for environmental monitoring Leadership: Editor-in-Chief of Journal of Global Positioning Systems (2009-2013), Editorial Board member of 'Engineering' (Chinese Academy of Engineering) Industry Collaboration: Partnerships in spatial information, intelligent transport, and manufacturing sectors Research interests include millimetre-precision positioning, geodetic data analytics via machine learning, and vehicular safety applications. He has supervised ~24 HDR students and leads teams in projects like real-time satellite monitoring of river flows and IoT-based landslide detection. Major articles span GNSS time series modeling (2022), machine learning for orbit prediction (2020), and vehicular network synchronization (2018). His work bridges academic innovation with industrial needs in precision positioning and smart systems. Current Supervision: Projects include GNSS-based soil settlement analysis and satellite network controllers Completed Supervisions: Over 20 PhD topics in GNSS ambiguity resolution, vehicular safety, and deformation monitoring Labs/Teams: Active in QUT's Centre for Data Science and CRC initiatives for satellite systems and spatial information.

Lily Qiaoمشاهده پروفایل

مدرس ارشد

• Space Systems Engineering
• Autonomous Spacecraft Navigation
• GNSS and Celestial Navigation
• +۵ مورد دیگر

Lily Qiao is a Senior Lecturer in Space Systems Engineering at the School of Engineering and Technology , University of New South Wales (UNSW) Canberra . She holds a PhD in Guidance, Navigation, and Control (GNC) from Nanjing University of Aeronautics and Astronautics (2011) and has been affiliated with UNSW since 2011, progressing from Research Associate to her current role. Her teaching includes postgraduate courses on Space Systems Design (ZEIT8008) and Global Navigation Satellite Systems (GNSS) (ZEIT8009), and undergraduate Radar Technology and Application (ZEIT4227). PhD in Guidance, Navigation, and Control (NUAA, 2011) Study exchange at UNSW Sydney Certificate of Completion with Merit (Graduate Teaching Training Program, UNSW Canberra, 2015) Foundations of University Learning and Teaching (FULT) Program (2019) National Mental Health First Aid Certificate (2019–2021) UNSW Course Design Institute (2023) Her research focuses on space systems engineering and the application of AI/CI-based methods to aerospace challenges, including autonomous spacecraft navigation (GNSS, celestial navigation), spacecraft attitude determination and control , Kalman filter technology , and cybersecurity for space systems . She has published over 50 peer-reviewed works and supervised six PhD students. Her recent publications highlight trends in cybersecurity for space systems, GNSS reflectometry for Earth observation, and modular design analysis for CubeSats. Notable awards include the UNSW Career Advancement Fund for Female Academics (2018–2020) and IEEE Senior Membership (2024) . Associate Editor, IEEE Transactions on Aerospace and Electronic Systems Chair, IEEE Australian Capital Territory (ACT) Section (2024) Founder and Chair, AESS Chapter in IEEE ACT Section (2022–2024) President, Women in Space Chapter (WiSC) , National Space Society of Australia Executive Committee, IEEE ACT Section (2020–2023) UNSW Canberra Representative, Women in Research Network (since 2021) She offers $35,000 AUD scholarships for PhD candidates with H1/High Distinction in undergraduate or Master’s programs. Current research supervision topics include AI Test and Evaluation , Real-Time Cybersecurity Platforms , and Dynamic Modular System Architectures .

Amir Allahvirdizadehمشاهده پروفایل

مدرس

• Positioning, Navigation and Timing (PNT)
• Satellite Technology
• Orbit Determination
• +۳ مورد دیگر

Dr. Amir Allahvirdizadeh is a Lecturer at the School of Earth and Planetary Sciences (EPS) at Curtin University, part of the Faculty of Science and Engineering. He holds a portfolio in the Office of the Provost and is based at Curtin Perth. His research focuses on next-generation Positioning, Navigation, and Timing (PNT) systems leveraging Low Earth Orbiting (LEO) satellites, precise orbit determination, physics-based machine learning, and lunar PNT. He is affiliated with the Institute for Geoscience Research (TIGeR) and the GNSS Research Center. Dr. Allahvirdizadeh's academic career includes roles as a Research Associate (2022–2024), Casual Academic (2013–2022), and industry experience as a Geodetic Surveyor and Project Manager. He has received awards such as the DB Johnston Award (2023) and the Curtin International Postgraduate Research Scholarship (2019). His research activities include optimizing CubeSat orbit determination, developing the Shadow Toolbox software, and analyzing GNSS signal effects in Earth's shadow. He serves as a Guest Editor for Remote Sensing, reviews for journals like GPS Solutions and IEEE Transactions, and chairs sessions at international conferences (e.g., ISPRS Technical Commission IV Symposium). As a network administrator, he manages Curtin's GNSS receiver network, contributing data to global agencies like the International GNSS Service (IGS-MGEX). Education: PhD in Spatial Sciences (funded by ARC Discovery Project DP 190102444), MSc in Geodesy. Grants: Curtin Faculty of Science and Engineering Research Grant (2025), TIGeR Small Grant (2022). Labs/Teams: GNSS Research Center, TIGeR, and the Innovation Central Perth - Binar Space Program.

Jeffrey Walkerمشاهده پروفایل

پژوهشگر ارشد

• Soil Moisture Remote Sensing
• Microwave Radiometry
• Machine Learning for Environmental Data
• +۳ مورد دیگر

Jeffrey Walker is a Research Fellow in the School of Civil Engineering at the University of New South Wales . His work focuses on soil moisture retrieval using advanced remote sensing technologies, including synthetic aperture radar (SAR), L-band and P-band radiometers, and GNSS-R systems. He integrates machine learning algorithms for spatial downscaling, multi-scale modeling, and time-series analysis to improve hydrological monitoring in agricultural, urban, and infrastructure contexts. Key Research Areas : Soil moisture remote sensing, microwave radiometry, machine learning applications in environmental data, geospatial modeling, sustainable construction, and eco-friendly pavement design. Notable Contributions : Development of LSTM neural networks for pavement moisture prediction, novel downscaling methods using optical trapezoid models, and assimilation frameworks for land surface models. Recent Trends : Emphasis on UAV-based radiometry, multi-frequency sensor fusion, and addressing over-optimism in SAR soil moisture modeling. Applications : Smart rehabilitation of pavements, flood model calibration with crowd-sourced data, and crop yield estimation via satellite imagery fusion.