جست‌وجوی استاد و پژوهشگر

William Lionheartمشاهده پروفایل

استاد

• Inverse Problems
• Imaging Techniques
• Medical Imaging
• +۳ مورد دیگر

William Lionheart is a Professor of Applied Mathematics at the University of Manchester, specializing in inverse problems with applications in imaging across industry, security, medicine, and non-destructive testing. He leads research collaborations including the Henry Mosley Centre for X-ray Imaging and the Land Mine Research Centre. His work integrates theoretical, numerical, and practical methods to advance imaging technologies. Education: BSc, PhD in Applied Mathematics. Key research areas include electrical impedance tomography, X-ray imaging, and polarizability tensor-based object characterization. He has pioneered techniques for metallic object detection and medical imaging applications. Research highlights include developing algorithms for synthetic aperture radar, elastic strain reconstruction, and proton therapy verification systems. Awards include the Wolfson Research Merit Award (2015) and a 2013 recognition. He has contributed to 193+ research outputs, led 11 projects (e.g., RASTER, SEMIS Phase III), and organized conferences like the 2023 'Rich and Nonlinear Tomography' event. His work impacts airport security, land mine detection, and medical diagnostics, generating over USD215M in industrial applications.

• Geomorphology
• Karst Geology
• Environmental Geology
• +۶ مورد دیگر

Professor Carlos Roque Pau is affiliated with the Environmental Sciences Department at the University of Girona. His research focuses on geomorphology, karst geology, and environmental geology, particularly in the context of sinkhole dynamics, salt tectonics, and climate change impacts on geological hazards.

Thomas Eibertمشاهده پروفایل

استاد

• High-Frequency Engineering
• Electromagnetic Modeling
• Antenna Design
• +۳ مورد دیگر

Prof. Thomas Eibert holds the position of Full Professor of High-Frequency Engineering at the Technical University of Munich (TUM), part of the TUM School of Computation, Information and Technology. His academic journey includes a doctorate from the University of Wuppertal (1997), research at the University of Michigan (USA), and roles at Deutsche Telekom's Technology Center and the Fraunhofer Institute. Specializing in high-frequency electromagnetic processes, his research focuses on novel antenna technologies, electromagnetic modeling algorithms, and field transformation techniques. Key contributions include advancements in near-field imaging, inverse source solutions, and microwave sensor systems. Notable awards include the Best Measurement Paper Award at EuCAP (2020, 2019), the ESA Antenna Workshop's Best Innovative Paper (2013), and the VDE ITG Literature Prize (2008). His work bridges theoretical developments with practical applications in automotive antennas, radar systems, and environmental impact analysis of antenna performance. Current research emphasizes UAV-based measurement systems and low-frequency stabilization methods for electromagnetic simulations. Education: Doctorate in Electrical Engineering (University of Wuppertal, 1997) Professional Roles: Head of Fraunhofer Institute's Antennas and Scattering Department (2002–2005), Professor at University of Stuttgart (2005–2008) Research Groups: Active in the Department of Electrical Engineering, collaborating on projects involving radar imaging, antenna design, and electromagnetic field transformations. Publications span journals such as IEEE Transactions on Antennas and Propagation, focusing on topics like phase retrieval, decoupling networks, and frequency-selective surfaces. His lab develops practical measurement frameworks for large-scale antenna systems and environmental resilience testing.

Bariscan Yonelمشاهده پروفایل

استادیار

• Computational Imaging
• Inverse Problems
• Machine Learning
• +۳ مورد دیگر

Bariscan Yonel is an Assistant Professor in Electrical & Computer Engineering at the University at Albany's College of Nanotechnology, Science, and Engineering. He holds a PhD from Rensselaer Polytechnic Institute and conducts research at the intersection of computational imaging, machine learning, and signal processing. His research develops theory and efficient algorithms for high-dimensional inference problems with applications in wave-based imaging systems. Key focus areas include: Foundations of AI for inverse problems in imaging Computational methods for passive radar systems Low-rank matrix recovery theory Phaseless synthetic aperture techniques His publications demonstrate consistent focus on advancing imaging algorithms through optimization theory and machine learning. Recent work explores deep learning approaches for interferometric imaging and robust phase retrieval methods.

• Radar Systems
• Synthetic Aperture Radar (SAR)
• Remote Sensing
• +۵ مورد دیگر

Gerhard Krieger is a Professor at Friedrich-Alexander-University Erlangen and Head of the Radar Concepts Department at DLR’s Microwaves and Radar Institute. He holds a Dr.-Ing. from TU Munich and has pioneered advancements in radar systems, including the TanDEM-X and Tandem-L missions. His work focuses on bistatic/multistatic SAR, digital beamforming, and spaceborne radar technologies. Krieger leads international collaborations for projects like Tandem-L, aiming to monitor Earth’s dynamic processes. His research spans SAR imaging techniques, UAV-based radar systems, and planetary exploration. He has authored over 90 journal papers, 400 conference papers, and received IEEE Fellow status, multiple best-paper awards, and nominations for innovation awards. Key contributions include TanDEM-X’s global DEM and disruptive SAR concepts for climate monitoring.

Antonella Bogoniمشاهده پروفایل

استاد

• Photonics
• Optical Communications
• Sensing
• +۶ مورد دیگر

Antonella Bogoni serves as Professor at Sant'Anna School of Advanced Studies in Pisa, Italy, and directs the CNIT National Laboratory on Photonic Networks and Technologies (PNTLab). She previously led the Integrated Photonic Technologies Center (INPHOTEC) as technical responsible from 2020-2021 and pioneered the Integrated Research Center for Photonic Networks established in 2001. Her research spans photonics technologies for optical communication and sensing, with specialized applications in security, space systems, automotive safety, and precision agriculture. Notable achievements include developing the photonic-based fully digital radar system published in Nature (2014), securing three ERC grants, and advancing distributed radar architectures for space applications through the SPACEBEAM project. Recent 2024 publications reveal intense focus on integrated photonics for radar systems, particularly space-based implementations. Key advancements include micro-transfer-printed multi-band transceivers, spectrally pure W-band RF generation, and machine learning-enhanced target modeling. Her work demonstrates convergence of silicon photonics, microwave engineering, and AI-driven signal processing across automotive, space, and agricultural domains. Scientific Awards: Fulbright Fellowship 9 Best Paper Awards Professor Bogoni has secured over 48 national and international grants exceeding 10M€, including ERC Starting and Proof of Concept grants. Her leadership in major projects like INPHOTEC and PNTLab indicates significant mentorship activities despite unlisted student names. She contributes to research strategy through technical committee roles at international conferences and editorial work for Optics Letters. She directs the CNIT National Laboratory on Photonic Networks and Technologies (PNTLab) and previously led INPHOTEC—a technology center for integrated photonic circuit fabrication. Her research group collaborates globally, including with USC under Fulbright sponsorship, driving innovations in photonic radar systems and space applications through the Integrated Research Center established in 2001.

Dylan C. Burnsمشاهده پروفایل

استاد پژوهشی

• Ground Penetrating Radar (GPR)
• Electromechanical Systems Design
• RF Signal Processing
• +۵ مورد دیگر

Dylan C. Burns is a Research Professor in the Department of Mechanical Engineering at the University of Vermont. He holds a Ph.D., M.S., and B.S. in Mechanical Engineering from the University of Vermont (2011, 2006, 2002). His research focuses on Ground Penetrating Radar (GPR) for subsurface detection, electromechanical device design, and RF signal processing. Burns founded dbgear LLC in 2016 and holds patents for innovations in GPR systems and vibrating magnet antennas. He teaches courses including Statics (CEE 1100), Dynamics (ME 1120), Mechanics of Solids (ME 1140), and System Dynamics (ME 2120). His technical expertise spans prototype development, MATLAB/SolidWorks proficiency, and hands-on laboratory testing. Burns' work emphasizes real-time data integration, with applications in civil infrastructure monitoring and augmented reality visualization systems. His research has produced over 20 peer-reviewed publications since 2017, focusing on advanced radar technologies, sensor fusion, and subsurface imaging. He collaborates on projects involving phased array systems, orbital angular momentum (OAM) radar, and magnetic sensing innovations for urban environments.

Caleb Fultonمشاهده پروفایل

دانشیار

• Digital Phased Array Radar
• Antenna Design
• Weather Radar Systems
• +۳ مورد دیگر

Dr. Caleb Fulton is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Oklahoma's Gallogly College of Engineering. He leads research in advanced radar systems at the Advanced Radar Research Center, focusing on digital phased arrays, antenna design, and weather radar applications. His work emphasizes calibration, polarization correction, and low-cost transceiver integration. Dr. Fulton holds B.S. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University (2006 and 2011). His research has been recognized with awards including the 2015 DARPA Young Faculty Award and the 2009 Purdue Eaton Alumni Award. He is a Senior Member of IEEE and contributes to its Antennas and Propagation Society. Research interests include digital beamforming, phased array calibration, cognitive radar, and multi-static radar networks. His lab develops systems like the Horus all-digital phased array radar and the Mobile C-band Polarimetric Atmospheric Imaging Radar (PAIR). Key innovations involve UAV-based antenna testing, Doppler bias correction in tornado debris analysis, and multistatic weather prediction. Scientific awards include recognition for radar design excellence and contributions to digital array technology. His work bridges radar engineering with atmospheric science, addressing challenges in severe weather observation and next-generation radar systems. Labs affiliated with Dr. Fulton include the Advanced Radar Research Center and the Radar Innovations Lab, where he oversees projects on radar calibration, antenna measurement, and real-time weather data systems.

Iain M Reidمشاهده پروفایل

استاد

• Radar Applications
• Lidar
• Atmospheric Physics
• +۳ مورد دیگر

Professor Iain M Reid is currently affiliated with the School of Chemistry and Physics at the University of Adelaide , where he serves as a faculty member. He also holds the position of Executive Director at ATRAD Pty Ltd and has previously occupied significant roles including Executive Dean at the University of Adelaide's Roseworthy Campus (2012-2015) and research positions at the Max Planck Institute for Aeronomy (1985-1988) and University of Saskatchewan (1984-1985). His research focuses on Radar and Lidar atmospheric studies , particularly examining Mesosphere Lower Thermosphere (MLT) dynamics , meteor trail analysis , stratospheric-tropospheric interactions , and space domain awareness applications . His work spans atmospheric physics , gravity wave momentum flux , ionospheric disturbances , and instrumentation development . Recent publications highlight advancements in multi-static meteor radar systems , QBO-MLT interactions , and low-cost holographic cloud imagers . Key research areas include atmospheric tides , planetary wave coupling , and meteor ablation dynamics .

• Synthetic Aperture Radar (SAR)
• Remote Sensing Technology
• Geomatic Engineering
• +۴ مورد دیگر

Othmar Frey is a Senior Scientist and Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. He leads the research group on SAR Remote Sensing Technology and is associated with the Chair of Earth Observation and Remote Sensing. His work focuses on developing advanced radar systems and applications, including car-borne and UAV-based SAR for deformation monitoring, multi-static SAR constellations, and tomographic profiling of snow and forest structures. Frey holds a Ph.D. (2010) and M.Sc. (2002) from ETH Zurich and the University of Zurich. Education: Ph.D. (Hons.) in Science (2010) from the University of Zurich, Switzerland; M.Sc. (Hons.) in Geomatic Engineering (2002) from ETH Zurich. Research interests span Synthetic Aperture Radar (SAR) signal processing, interferometry, tomography, and remote sensing applications for environmental and civil engineering challenges. Notable projects include railway substructure monitoring via TerraSAR-X data, development of compact SAR systems (GLSAR/GSSAR), and the Alpine Measurement Lab for studying mass movements. His team collaborates with agencies like ESA, Innosuisse, and the Swiss Federal Office for the Environment. Advising: Supervises PhD students like Magnus Heimpel and Fanyun Xu, with former advisees now at EMPA, Leica Geosystems, and ITU. Research teams include the Earth Observation and Remote Sensing group at ETH Zurich.

Qian Liaoمشاهده پروفایل

استاد

• Environmental Fluid Mechanics
• Hydrodynamic-Biogeochemical Modeling
• Hydraulics and Hydrology
• +۲ مورد دیگر

Qian Liao is a Professor in the Department of Civil and Environmental Engineering at the University of Wisconsin-Milwaukee's College of Engineering & Applied Science. Currently on sabbatical for the Fall 2024 semester, Dr. Liao specializes in environmental fluid mechanics and aquatic system dynamics. Dr. Liao holds a PhD in Civil and Environmental Engineering from Cornell University (2004), an MS in Urban and Environmental Science from Peking University (1999), and a BS in Hydraulic and Hydropower Engineering from Tsinghua University (1996). His research focuses on: Hydrodynamic-biogeochemical interactions in aquatic systems Turbulence modeling and mixing processes Advanced flow measurement techniques including imaging-based analysis Hydraulic systems and watershed management His recent publications demonstrate strong focus on signal processing applications in sensing systems, radar technologies, and wireless communications, with particular emphasis on multi-target localization, signal authentication, and efficient computational methods.

Moeness G. Aminمشاهده پروفایل

استاد

• Radar Technologies
• Signal Processing
• Array Processing
• +۶ مورد دیگر

Prof. Moeness G. Amin is a Professor in the Department of Electrical and Computer Engineering at Villanova University and Director of the Center for Advanced Communications (CAC). He holds prestigious fellowships from IEEE, SPIE, IET, and EURASIP. His research focuses on radar technologies, signal processing, and sparse sensing with applications in urban monitoring, through-wall imaging, and healthcare. He has secured over $21M in sponsored research, leading projects on radar systems, array processing, and AI-driven sensor networks. Key achievements include the 2022 IEEE Dennis Picard Gold Medal for radar innovation and the 2016 Humboldt Prize. His work on radar for elderly care and wearable sensors has been featured in outlets like CBS Philly and The Verge. Prof. Amin has authored three books and over 300 publications, with notable contributions in IEEE Transactions, EURASIP, and SPIE conferences. His grants span defense, healthcare, and commercial sectors, including partnerships with L3Harris, Comcast, and RTM Vital Signs. Current research includes AI-driven radar systems for activity detection, sparse array design, and compressive sensing in urban environments.

• Signal Processing
• Radar Systems
• Electromagnetic Modelling
• +۳ مورد دیگر

Javier Rosado Sanz is an academic at the Universidad de Alcalá, holding the position of Profesor Ayudante Doctor in the Signal Theory and Communications Department. His research focuses on advanced radar systems, particularly passive radar technologies leveraging existing broadcast signals (DVB-T/S, GPS, etc.) for target detection and tracking. He leads work in the AES3 group, developing smart sensor networks for coastal and urban surveillance, emphasizing acoustic and electromagnetic sensing. He earned his PhD from Universidad de Alcalá in 2021 with a thesis on antenna array configurations and electromagnetic target modeling for passive radar enhancement. His technical expertise spans antenna design optimization, clutter mitigation algorithms, and multi-static radar architectures. Recent research emphasizes UAV/drone detection, 2D/4D tracking systems, and adaptive beamforming techniques. His work bridges theoretical signal processing with practical implementations in maritime/coastal surveillance and smart city sensor networks. Key innovations include reflectarray antenna designs and decentralized detection frameworks for distributed sensor arrays. Publications highlight contributions to passive radar performance under challenging environments (e.g., wind farms, urban clutter) and novel applications like oil spill classification using SAR data. Collaborations involve experimental validations of DVB-based radar systems and conductivity analysis of composite materials used in UAVs.

Piotr Płotkaمشاهده پروفایل

دانشیار

• Semiconductor Devices
• Nano-Transistors
• Millimeter-Wave Applications
• +۵ مورد دیگر

Dr. Piotr Płotka is an Associate Professor and Vice-Dean for Scientific Research and Implementation at Gdańsk University of Technology's Faculty of Electronics, Telecommunications and Informatics, leading the Department of Microelectronic Systems since 2017. He holds M.Sc. (1976), D.Eng. (1985), and D.Sc. (2008) degrees from Gdańsk University of Technology and the Institute of Electron Technology in Warsaw. His research focuses on semiconductor nano-devices, molecular layer epitaxy, diamond-based sensors, and microwave/antenna optimization. Notable contributions include GaAs nanotransistors (7-nm channels), TUNNETT diodes (706 GHz generation), and boron-doped diamond fabrication for harsh environments. He developed novel methods for nanodevice fabrication using area-selective epitaxy and CVD techniques despite limited lithography resolution. Teaching expertise spans semiconductor physics, microelectronics, integrated circuits, and MEMS systems. He co-authored 7 patents (5 Japanese, 2 Polish) and over 20 JCR-listed papers with an H-index of 9. He leads the Microelectronic Systems Research Team, focusing on ASIC design, low-power systems, and electromagnetic compatibility. Active in editorial roles (e.g., Zeszyty Naukowe Wydziału ETI) and Poland's Section of Microwaves and Radar Location.

• Computer Vision
• Artificial Intelligence
• Software Architecture
• +۳ مورد دیگر

Christian Creß is a Research Assistant and Ph.D. candidate at the Technical University of Munich (TUM), working at the Chair of Robotics, Artificial Intelligence and Real-Time Systems under the supervision of Prof. Dr.-Ing. habil. Alois Christian Knoll. He joined TUM in 2020 after completing his M.Sc. in Applied Computer Science at the University of Applied Sciences Kempten in 2016. Creß holds a Master of Science degree in Applied Computer Science from the University of Applied Sciences Kempten, where he completed his thesis titled "Visual Scene Analysis for the Segmentation of Static and Dynamic Objects" in collaboration with ESG Elektroniksystem- und Logistik-GmbH. Prior to his position at TUM, he worked as a software developer in the industry. His research focuses on computer vision, particularly with event-based cameras, within the context of intelligent transportation systems. Creß has established the complete perception pipeline for the Providentia++ roadside intelligent transportation system, covering calibration, object detection, and data fusion. His work bridges theoretical computer vision research with practical applications in autonomous driving and traffic monitoring systems. He has published extensively on topics including sensor calibration, event-based vision, and multi-modal perception for intelligent transportation infrastructure. Creß has contributed significantly to the AUTOtech.agil and Providentia++ projects, prestigious research initiatives in the field of intelligent transportation. His publications demonstrate a strong focus on practical computer vision solutions for roadside infrastructure, with particular expertise in event-based cameras, sensor calibration, and multi-modal perception systems. His most cited works include literature surveys on roadside ITS infrastructure and datasets like TUMTraf Event that have become valuable resources for the research community. As a thesis supervisor, Creß has mentored numerous Master's and Bachelor's students through their research projects, covering topics such as radar-based instance segmentation, camera-based object detection in poor visibility conditions, deep learning for rain removal, and traffic trajectory prediction. His students have completed works on accident prevention frameworks, self-diagnosis functionality for ITS, and synthetic data generation using GANs.