جست‌وجوی استاد و پژوهشگر

Kyle O'Keefeمشاهده پروفایل

استاد

• Global Navigation Satellite Systems (GNSS)
• Indoor Positioning and Navigation
• Ultra-wideband Ranging
• +۶ مورد دیگر

Kyle O'Keefe is a Professor in the Department of Geomatics Engineering at the University of Calgary's Schulich School of Engineering. He holds dual B.Sc. degrees in Geomatics Engineering (University of Calgary, 2000) and Honours Physics (University of British Columbia, 1997), and a Ph.D. in Geomatics Engineering (University of Calgary, 2004). He is a Professional Engineer (P.Eng.) registered with the Association of Professional Engineers and Geoscientists of Alberta since 2005. His research focuses on positioning and navigation technologies, including Global Navigation Satellite Systems (GNSS) advancements Ultra-wideband (UWB) ranging for vehicle/pedestrian navigation Indoor positioning using wireless signals Wearable sensor integration for biomechanics and navigation GNSS spoofing detection and cybersecurity Notable projects include: Development of UWB-augmented GNSS for RTK surveying (2007–present) Wearable sensor systems for rowing/kayaking motion analysis (2017–present) CanX-2 nanosatellite GPS receiver operations (2008) Igliniit project with Inuit hunters for Arctic environmental monitoring (2006–2009) Multi-constellation GNSS evaluation across 20+ years He has received prestigious awards including the Michael Richey Medal (2011) and multiple Best Paper Awards at IPIN and ION conferences. His teaching includes courses like Advanced GNSS Theory and Wireless Location. Active in professional organizations, he co-edits special journal issues and advises industry on emerging navigation technologies.

Fırat Buratمشاهده پروفایل

استاد

• Mineral Processing
• E-Waste Recycling
• Battery Recycling Technologies
• +۴ مورد دیگر

Prof. Fırat Burat is a Professor at Istanbul Technical University's Department of Mineral Processing Engineering, Faculty of Mining Engineering. He specializes in mineral processing, e-waste recycling, and battery recovery technologies. His research focuses on optimizing flotation processes, rare earth element extraction, and sustainable resource management. He holds a PhD in Mining Engineering from ITU (2011) and has been a faculty member since 2004, advancing to Associate Professor in 2018 and full Professor thereafter. Education: PhD in Mining Engineering (ITU, 2011), Master's in ORE COAL Preparation (ITU, 2003), Bachelor's in Mining Engineering (ITU, 2001). Research Interests: E-waste recycling (e.g., lithium-ion batteries, printed circuit boards), coal beneficiation, rare earth element recovery, and industrial raw material processing. His work contributes to UN SDGs like responsible consumption and climate action. Notable projects include recycling spent batteries and recovering metals from electronic waste. He has authored over 45 publications and secured multiple awards, including ITU's 2024 Academic Performance Award. Prof. Burat leads research teams on battery recycling and mineral processing, advising 7+ graduate students. His lab focuses on innovative separation methods and sustainable resource utilization.

Todd Walterمشاهده پروفایل

استاد پژوهشی

• Satellite Navigation Systems
• GNSS Integrity
• RFI Detection
• +۳ مورد دیگر

Todd Walter is a Research Professor of Aeronautics and Astronautics at Stanford University, serving as Director of the Global Positioning System (GPS) Laboratory. His work focuses on high-integrity satellite navigation systems and international standards coordination. He holds a Ph.D. in Applied Physics (Stanford, 1994), M.S. in Applied Physics (Stanford, 1990), and B.S. in Physics (Rensselaer Polytechnic Institute, 1987). His research emphasizes GNSS integrity, RFI detection, spoofing mitigation, and advanced RAIM algorithms. The GPS Lab at Stanford is a key institution in his work. Research Interests: Walter’s expertise spans satellite navigation systems, GNSS security, and real-world interference detection. He develops cutting-edge techniques for spoofing detection using low-cost receivers, integrates ADS-B data for jamming localization, and explores cryptographic methods for signal authentication. His work bridges theoretical advancements (e.g., Gaussian bounding, error modeling) with practical applications in aviation and ground-based monitoring systems. Grants & Labs: Leads the GPS Lab, which focuses on advanced navigation technologies. His projects include ground-based integrity monitors for PPP services and cryptographic protocols for TESLA-enabled systems. Collaborates with international standards bodies to enhance GNSS security and reliability.

Steven W. Ellingsonمشاهده پروفایل

دانشیار

• RF & Microwave Electromagnetics
• Signal Processing
• Radio Astronomy
• +۵ مورد دیگر

Steven W. Ellingson is an Associate Professor of Electrical & Computer Engineering at Virginia Tech, affiliated with the Bradley Department. His research focuses on RF & Microwave Electromagnetics, Signal Processing, Radio Astronomy, and antenna design. He holds a Ph.D. from The Ohio State University (2000), an M.S.E.E. from Ohio State (1989), and a B.S.E.C.E. from Clarkson University (1987). His work includes developing interference mitigation techniques for radio astronomy and satellite communications, as well as contributions to open educational resources like the Electromagnetics textbooks. Education: Ph.D., Electrical Engineering, The Ohio State University M.S., Electrical Engineering, The Ohio State University B.S., Electrical & Computer Engineering, Clarkson University Research: His projects include the Radio Astronomy Interference Mitigation (RAIM) initiative, SWIFT (coexistence of radio astronomy and satellite systems), and reflectarray technology. He emphasizes open-access educational materials and has authored influential textbooks on electromagnetics. Publications: Recent work includes advancements in interference cancellation, reconfigurable antennas, and collaborative research on radio astronomy instrumentation.

Zheng Zhaoمشاهده پروفایل

استادیار

• Computational Statistics
• Machine Learning
• Generative Diffusion Models
• +۴ مورد دیگر

Zheng Zhao is an Assistant Professor in computational statistics and machine learning at Linköping University, leading a research team within the Division of Statistics and Machine Learning (STIMA) under the Department of Computer and Information Science (IDA). His work focuses on developing computationally and statistically efficient models for machine learning applications, particularly generative diffusion models and their use in signal/image processing. He also applies these methods to fields like astronomy (e.g., stellar magnetic field analysis) and climate science. His research team emphasizes practical applications of diffusion models and Bayesian methods, contributing to advancements in image restoration, sensor array analysis, and high-dimensional data modeling. Zhao collaborates with STIMA colleagues on interdisciplinary projects, leveraging statistical theory and computational techniques. Publications highlight his exploration of diffusion models, Bayesian neural networks, and probabilistic methods across domains like astrophysics and environmental science. His work bridges theory and application, addressing challenges in uncertainty quantification and overfitting mitigation. Zhao is actively involved in academic initiatives such as the international master's program in Statistics and Machine Learning (hosted by STIMA). His research has been applied in competitions like the NTIRE challenge, demonstrating real-world impact in image restoration.

Urs Hugentoblerمشاهده پروفایل

استاد

• Satellite Geodesy
• Global Navigation Satellite Systems (GNSS)
• Precise Orbit Determination
• +۴ مورد دیگر

Prof. Urs Hugentobler is a full professor at the Institute for Astronomical and Physical Geodesy at Technische Universität München (TUM), leading the Satellite Geodesy Department and the Forschungseinrichtung Satellitengeodäsie (FESG). His work focuses on precise geodetic applications of GNSS systems, satellite orbit determination, and Earth rotation studies. He holds a doctorate in astronomy from the University of Bern (1997) and has extensive experience with the ESA and international geodetic networks. Education: Master’s in theoretical physics (University of Bern, 1989), PhD in astronomy (University of Bern, 1997). Professional roles include leadership at the Bernese GPS Software group and the Wettzell Geodetic Observatory collaboration. His research emphasizes satellite gravimetry, solar radiation pressure modeling, and multi-technique geodetic observations. Research interests span satellite geodesy, GNSS applications, time/frequency transfer, and Earth system monitoring. Key contributions include advancements in Galileo and BeiDou satellite modeling, and the development of the Bernese GNSS Software. His work bridges geodesy with space science, addressing challenges in precision positioning and global reference frames. Publications highlight innovations in multi-GNSS analysis, satellite orbit determination, and Earth rotation parameters. His lab, FESG, supports TUM’s geodetic research and operational activities at Wettzell. Ongoing projects include the ESA Baltic+ and NEROGRAV initiatives, focusing on gravimetry and Earth dynamics.

• Multi-GNSS Positioning
• Quality Control and Integrity Monitoring
• GNSS Ionosphere Sensing
• +۴ مورد دیگر

Dr. Safoora Zaminpardaz is a Senior Lecturer in the School of Science at RMIT University, specializing in GNSS positioning, geodesy, and navigation systems. Her research focuses on multi-GNSS positioning, quality control, integrity monitoring, and ionospheric sensing, with applications in climate monitoring and smartphone-based positioning. She holds an ORCID identifier (0000-0003-0719-674X) and supervises postgraduate students in areas such as integrated GNSS-5G positioning and optical clocks in GNSS systems. Her teaching interests include terrestrial surveying and least-squares adjustment. Recent research highlights include studies on flash drought monitoring using evaporative demand indices and optical clock performance for enhanced GNSS positioning accuracy. Dr. Zaminpardaz actively contributes to international conferences and journals, advancing methodologies in deformation analysis and positioning reliability. She is open to supervising PhD and Masters students in her research areas and collaborates on projects addressing weather extremes, smartphone antenna calibration, and multi-frequency GNSS measurements.

• Robotics and Autonomous Systems
• Robot Perception and Learning (RoPAL)
• Simultaneous Localisation and Mapping (SLAM)
• +۷ مورد دیگر

Dr Ze Ji is Reader of Robotics and Autonomous Systems at Cardiff University’s School of Engineering, where he leads the Robotics and Autonomous Intelligent Machines (RAIM) group and directs the Robotics and Autonomous Systems Laboratory. He is Co-Investigator and theme leader for the ERDF-funded IROHMS research centre and holds a Royal Academy of Engineering Industrial Fellowship hosted by Spirent Communications Ltd. Education PhD in Engineering, Cardiff University (2007) – EU FP6 TAI-CHI project MSc, Cardiff University BEng, Cardiff University Research Interests Dr Ji’s research centres on Robot Perception And Learning (RoPAL) , spanning: Simultaneous localisation and mapping (SLAM) Deep reinforcement learning for navigation and manipulation Human-robot collaboration & digital-twin based fatigue management Vision, tactile sensing, and smart sensing systems Unmanned surface vehicles (USVs) and UAV coordination Physics-based differentiable simulation for elastoplastic material handling Publications Trend Since 2021 Dr Ji has authored >120 peer-reviewed papers. A dominant theme is mapless navigation via hierarchical and preference-based reinforcement learning for ground, aerial and surface robots. Parallel streams investigate human-centric manufacturing (digital twins for fatigue-aware assembly), vision-based tactile sensing, defect detection on steel, and orchard robotics (green-fruit segmentation), all underpinned by deep learning and rigorous real-world validation. Scientific Awards & Fellowships Royal Academy of Engineering Industrial Fellowship EU FP6 Best Exhibit Prize, Helsinki 2006 (TAI-CHI project) Fellow of the Higher Education Academy (FHEA) Grants & Centres Principal Investigator, EPSRC-funded differentiable physics project (2025) Co-Investigator, IROHMS (ERDF/WEFO) Industrial Fellowship with Spirent Communications Ltd Laboratory & Facilities Dr Ji manages the Robotics and Autonomous Systems Laboratory , housing two KUKA LBR iiwa robots, Robotnik Vogui+, three KUKA YouBots, TurtleBots, drones, advanced 3-D vision systems, and sensors. The lab has also produced two student-built USVs (unmanned surface vehicles) for maritime research.