جست‌وجوی استاد و پژوهشگر

• Radar Signal Processing
• Waveform Diversity
• Spectrum Sharing Techniques
• +۵ مورد دیگر

Shannon D. Blunt is the Roy A. Roberts Distinguished Professor of Electrical Engineering & Computer Science (EECS) at the University of Kansas (KU), where he also serves as Director of the KU Radar Systems Lab (RSL) and Director of the Kansas Applied Research Lab (KARL). With a distinguished career spanning over two decades, Prof. Blunt has established himself as a leading expert in radar signal processing and waveform design. Dr. Blunt earned his B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Missouri, completing his doctorate in 2002 under the supervision of K.C. Ho. After working at the U.S. Naval Research Laboratory from 2002-2005, he joined the University of Kansas faculty, where he has remained ever since, advancing to his current distinguished professorship. Prof. Blunt's research focuses on sensor signal processing and system design with particular emphasis on waveform diversity and spectrum sharing techniques. His work has made significant contributions to radar and sonar systems that have been deployed operationally. His research spans radar waveform design, spectrum coexistence, cognitive radar, and the integration of radar and communication systems. The 15 most recent publications demonstrate his continued leadership in random FM radar waveforms, spectrum sharing techniques, and experimental validation of novel radar concepts, with numerous papers appearing in top journals like IEEE Transactions on Radar Systems and presented at major radar conferences. His scientific achievements have been recognized with numerous prestigious awards including the IEEE/AESS Nathanson Memorial Radar Award (2012), IEEE Fellowship (2016), IET Radar, Sonar & Navigation Premium Award (2020), and the IEEE/AESS Warren D. White Award (2025). In 2019, he was appointed to the U.S. President's Council of Advisors on Science & Technology (PCAST), and in 2024 he was named Fellow of the MSS. Prof. Blunt has successfully mentored numerous graduate students, with many of his former PhD students now holding positions at prestigious institutions including MIT Lincoln Laboratory, Johns Hopkins University Applied Physics Lab, Naval Research Laboratory, and academic positions at the University of Kansas. His research has been supported by over $30M in funding from organizations including NRL, DARPA, AFRL, ARL, ARO, DoE, NAVSEA, and ONR. He has served in significant editorial roles including Founding Editor-in-Chief of IEEE Transactions on Radar Systems and editorial board member for IET Radar, Sonar & Navigation. As Director of both the KU Radar Systems Lab and the Kansas Applied Research Lab, Prof. Blunt leads research teams focused on advancing radar technology and applying it to real-world problems. His labs have developed numerous innovative radar techniques that address spectrum congestion challenges while maintaining radar performance.

Paul Savaمشاهده پروفایل

استاد

• Seismic Imaging
• Planetary Geophysics
• Wavefield Tomography
• +۵ مورد دیگر

Paul Sava is a Professor and C.H. Green Chair of Exploration Geophysics at the Colorado School of Mines, serving as Department Head of Geophysics since 2019. He holds a PhD in Geophysics from Stanford University (2005), an MSc from Stanford (1998), and an Engineer Geophysicist degree from the University of Bucharest (1995). His research focuses on seismic and radar wavefield imaging, planetary geophysics, and infrastructure monitoring. Notable contributions include advancements in wave-equation migration and planetary radar tomography. Education: PhD in Geophysics, Stanford University, 2005 MSc in Geophysics, Stanford University, 1998 Engineer Geophysicist, University of Bucharest, 1995 Research interests emphasize wavefield-based methods for subsurface imaging, planetary resource exploration, and autonomous data acquisition. Recent work explores seismic imaging of asteroids and Mars, leveraging orbital radar systems. His publications span seismic inversion, microseismic monitoring, and elastic wavefield tomography. Awards include the Reginald Fessenden Award (2007), T.K. Young Leadership Award (2020), and multiple Top 30 presentations at SEG Annual Meetings. He leads the Center for Wave Phenomena and actively collaborates with NASA and industry consortia on grants totaling over $6 million. Advising and grants involve mentoring over 30 students and postdocs, with grants focused on planetary radar imaging, seismic FWI, and Mars subsurface analysis. Key projects include the Planetary Orbital Radar Processing and Simulation System (PORPASS) and autonomous seismic exploration systems. Labs/Teams: Directly leads the Center for Wave Phenomena and the Seismic Imaging Team at CWP, advancing open-source tools like Madagascar for reproducible geophysical research.

Massoud Zolgharniمشاهده پروفایل

استاد

• Computer Vision
• Medical Imaging
• Artificial Intelligence
• +۷ مورد دیگر

Massoud Zolgharni is a Professor of Computer Vision at the School of Computing and Engineering, University of West London. He joined UWL as a Senior Lecturer in 2018 and was promoted to Associate Professor in 2020. Previously, he held academic positions at the University of Lincoln and was a Research Associate at Imperial College London. He is a Fellow of the Higher Education Academy and leads the MSc Artificial Intelligence and PhD programs at UWL. BSc in Mechanical Engineering, Amirkabir University of Technology Master’s and PhD, Brunel and Swansea Universities, UK His research focuses on computer vision and medical imaging , particularly in automated cardiac imaging using AI and deep learning . His work aims to develop low-cost, non-invasive techniques for echocardiography and cardiovascular diagnostics. He has published extensively in journals such as Computers in Biology and Medicine , IEEE Transactions , and European Heart Journal . Recent publications (2023–2025) highlight his leadership in AI-driven echocardiography, including left ventricle segmentation, Doppler analysis, and multimodal seizure detection. His research integrates deep learning, signal processing, and real-world clinical validation, establishing a strong interdisciplinary profile bridging computing and medicine. Scientific Awards : Fellow of the Higher Education Academy He has secured major grants from the British Heart Foundation , including a £1.5M Programme Grant (2022–2027) on AI integration in echocardiography. He serves on university research committees, acts as Critical Reader for the School, and organizes the monthly research seminar. He teaches across a wide range of computing and AI programs, contributing to curriculum development and research supervision.

Toros Arikanمشاهده پروفایل

استادیار

• Signal Processing
• Remote Sensing
• Underwater Acoustics
• +۶ مورد دیگر

Dr. Toros Arikan is an Assistant Professor in the Department of Electrical Engineering at the University of Notre Dame's College of Engineering. His research focuses on signal processing for remote sensing applications, with particular emphasis on underwater acoustics and indoor radio frequency systems. He applies deep learning techniques to solve complex problems in environmental mapping, localization, and tracking. B.S., M.S., and Ph.D. in Electrical and Electronics Engineering from University of Illinois Urbana-Champaign and Massachusetts Institute of Technology Professor Arikan's work addresses fundamental challenges in underwater acoustic localization, reverberant environment modeling, and challenging-environment communications. His recent publications highlight neural network-based solutions for Steiner minimum trees and boundary estimation problems. His research on HF communications systems spans topics including low-latency transmission, Doppler tolerance, and modem design for underwater applications. Earlier work includes biomedical ultrasound signal processing for blood velocity estimation.

Ivan Medvedevمشاهده پروفایل

استاد

• Terahertz Spectroscopy
• Molecular Spectroscopy
• Bio-medical Applications
• +۴ مورد دیگر

Ivan Medvedev is a Professor and Chair of the Physics Department at Wright State University, as well as Interim Chair of the Mathematics and Statistics Department. He has been at Wright State University since 2010, progressing from Assistant Professor to Associate Professor (tenured) in 2015, and to Professor in 2023. Dr. Medvedev received his PhD in Physics from The Ohio State University in 2005, following Master's and Bachelor's degrees in Physics and Applied Mathematics from the Moscow Institute of Physics and Technology (MIPT) in 1998 and 1996, respectively. Prior to joining Wright State, he served as a Research Scientist at The Ohio State University Department of Physics from 2005-2010 and as a Visiting Scholar there from 2011-2018. Dr. Medvedev's research focuses on the bio-medical applications of Terahertz (THz) spectral range, with primary emphasis on THz high resolution molecular ro-vibrational spectroscopy and its analytical applications. He develops sensing systems for novel biomedical applications of the THz spectral range, particularly for spectroscopic diagnostic analysis of exhaled human breath. His work bridges astrophysical spectroscopy with practical biomedical and chemical sensing applications, creating innovative approaches to molecular detection and analysis. His publications and presentations demonstrate a consistent focus on rotational spectroscopy, with applications spanning from astrophysical observations to biomedical diagnostics. Recent work has increasingly emphasized the practical applications of THz technology for chemical and medical sensing, particularly breath analysis for medical diagnostics. Presidential Early Career Achievement Award, WSU, 2014 (awarded to just 1 faculty member annually) SOCHE Excellence in Teaching Award, Dayton, OH, 2014 Dr. Medvedev teaches undergraduate courses including Physics 112 (non-calculus based physics), Physics 2400 (calculus based physics for engineers), Physics 2420 (Modern physics), and Physics 4660/6600 (Introduction to Quantum Mechanics). At the graduate level, he teaches Physics 899 (Research) and Physics 799 ("Theoretical And Computational Aspects Of Experimental Molecular Spectroscopy"). His laboratory work focuses on developing advanced THz sensing systems, particularly for breath analysis applications. His research group collaborates with various institutions including MIT Lincoln Laboratory, Air Force Research Laboratory, and several university departments across the country.

Manuel Bergerمشاهده پروفایل

مدرس

• Fluid Dynamics
• Medical Engineering
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Manuel Berger is a Lecturer at the MCI Management Center Innsbruck, specializing in Fluid Dynamics and Medical Engineering. He holds a PhD in Image Guided Diagnosis and Therapy (IGDT) from the Medical University of Innsbruck (2021) and advanced degrees in Mechatronics/Mechanical Engineering (M.Sc., 2014) and Mechatronics (B.Sc., 2011). His academic journey includes roles as a scientific staff member (2014–2024) and dissertant at MCI. He has taught courses such as Advanced Computational Modeling, Medical Image Processing, and Fluid Dynamics. His research focuses on fluid dynamics applications in medical technologies, including nasal airflow simulations, hydrocyclone optimization, and biomedical device development. He has pioneered tools like a sensorized guide wire for cardiovascular surgery and CFD-based pre-surgery planning for nasal interventions. His work also addresses environmental challenges, such as biogas production from waste and microplastic separation. Berger has received awards including the MCI Teaching Award (2024) and the Wilhelm-Auerswald-Preis (2022 finalist). He actively supervises bachelor’s and master’s theses on topics ranging from CFD applications to renewable energy systems. His research group collaborates on projects like plasma actuation studies, hydrocyclone scale-up, and AI-driven aerodynamic analysis. Additional expertise includes fluid mechanics in hydropower, laser anemometry validation, and interdisciplinary education initiatives. He is currently pursuing Chinese language training and has conducted research stays in Taiwan via an OeAD scholarship (2022).

Alexandru Tamasanمشاهده پروفایل

استاد

• Inverse Problems
• Partial Differential Equations
• Computational Mathematics

Dr. Alexandru Tamasan is a Professor in the Department of Mathematics at the University of Central Florida. His research focuses on theoretical and computational aspects of inverse problems for partial differential equations. Research Interests: Specializes in inverse problems for partial differential equations, particularly reconstruction methods for radiative transport, ray transforms, and X-ray tomography. Recent work develops inversion techniques for momentum ray transforms, attenuated Doppler transforms, and radiative source reconstruction from partial boundary measurements. Publication Trends: Current research (2022-2024) emphasizes inversion formulas for tensor field tomography and momentum ray transforms. Earlier work established numerical methods for radiative source reconstruction (2020-2021) and characterization of transform ranges (2022). Techniques combine functional analysis, integral geometry, and numerical computation for solving ill-posed inverse problems. Teaching: Instructs courses in Partial Differential Equations and Complex Variables. Maintains active research program in mathematical methods for tomography and transport theory.

C. Kyle Renshawمشاهده پروفایل

استاد

• Optics and Photonics
• Organic Optoelectronics
• Sensor Arrays
• +۷ مورد دیگر

C. Kyle Renshaw is a Professor of Optics and Photonics at the University of Central Florida (UCF), affiliated with the Department of Electrical Engineering (ECE) within the College of Engineering and Computer Science (CECS). He holds a PhD and MS from the University of Michigan and an undergraduate degree from Cornell University. His research focuses on organic optoelectronics, thin-film semiconductors, sensor arrays, photovoltaics, and imaging systems, particularly in applications like flexible electronics and optoelectronic devices. Dr. Renshaw leads the Thin-Film Optoelectronics (TFO) Group, which develops materials and fabrication techniques for large-area devices such as solar cells, displays, and sensors. His work spans hybrid metasurface-refractive optics, drone-based imaging systems, and multispectral imaging technologies. Notable contributions include advancements in infrared imaging, free-space optical communications, and sensor optimization for geolocation. His recent research highlights include experimental comparisons of active imaging modes, Gaussian decomposition modeling for hybrid lenses, and evaluation of Doppler wind lidar for aviation safety. Dr. Renshaw has been recognized with the 2018 AFRL Summer Faculty Fellowship. His work bridges fundamental optics research with practical applications in defense, environmental monitoring, and aerospace systems.

David Gozzardمشاهده پروفایل

پژوهشگر ارشد

• Quantum Metrology
• Laser Communication Systems
• Precision Measurements
• +۴ مورد دیگر

Dr David Gozzard is a Senior Research Fellow at the University of Western Australia (UWA) and the International Centre for Radio Astronomy Research (ICRAR). His research focuses on quantum imaging, high-precision measurement systems, and satellite laser communications. He holds a Forrest Fellowship, recognizing his contributions to advancing Australia’s space technology capabilities. Dr Gozzard earned his PhD in Physics from UWA in 2018, specializing in stabilized reference frequency transfer systems for the Square Kilometre Array telescope. His postdoctoral work at the Australian National University further developed optical phased arrays and laser systems for metrology and communication. Research Interests Quantum metrology and optical frequency stabilization High-bandwidth satellite laser communication systems Free-space optical links and atmospheric turbulence mitigation Optical ground station networks and tactical deployment His recent work demonstrates advancements in optical communication systems, including record-breaking 100 Gbps free-space links and drone-based geopotential measurements. He leads projects funded by the Australian Research Council (DECRA), the Department of Defence, and international partnerships. Awards Forrest Fellowship (2019) Advising & Grants Supervises Higher Degree by Research students in optical communication and quantum systems. Active in securing grants such as the $14M Quantum Australia initiative and the Australian Space Agency’s optical communications projects. Labs & Teams A core member of the Western Australian Optical Ground Station (WAOGS) team, developing next-generation laser communication infrastructure for space missions and Earth observation.

Sameh Abdelazimمشاهده پروفایل

دانشیار

• Electrical Engineering
• Remote Sensing
• Atmospheric Sensing
• +۹ مورد دیگر

Sameh Abdelazim is an Associate Professor in the Department of Electrical Engineering at the Gildart Haase School of Computer Sciences and Engineering, Fairleigh Dickinson University. He teaches a range of core electrical engineering courses including Circuits, Electronics, Control Systems, and Microprocessor Design. His research focuses on remote sensing of the atmosphere , particularly using eye-safe All-Fiber Coherent Doppler Lidar for wind sensing applications. He also specializes in Field Programmable Gate Array (FPGA) programming and data acquisition systems , integrating hardware and software for real-time signal processing and control. Before joining FDU, Dr. Abdelazim worked as a developer and engineer at IBM, where he contributed to chip design and signal integrity for server machines. He completed his PhD in Electrical Engineering at The Graduate Center of The City University of New York, conducting research at the Remote Sensing Laboratory at City College. During that time, he also served as an adjunct lecturer across CUNY institutions. PhD, Electrical Engineering (2012), The Graduate Center of The City University of New York MPhil in Engineering (2011), The Graduate Center of The City University of New York MS, Electrical Engineering (2009), The City College of The City University of New York BS, Electrical Engineering (2001), The City College of The City University of New York Dr. Abdelazim has no listed scientific awards or publications in the provided text. There is no mention of graduate students he may have advised. He is not described as part-time, retired, or former staff, indicating an active full-time faculty role.

Dirk Slockمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۶ مورد دیگر

Dirk Slock is a Professor at EURECOM's Communication Systems department. His research focuses on advanced signal processing for wireless communications, including transmitter/receiver design for 4G/5G systems, Massive MIMO, stochastic geometry, and audio signal processing. He has contributed to areas like interference management, compressive sensing, and Bayesian methods. Slock teaches courses on statistical signal processing and wireless communication techniques. His notable awards include IEEE Fellow (2006) and EURASIP Fellow (2015). Collaborations with students like Christo Kurisummoottil Thomas have yielded Best Student Paper Awards at SPAWC 2018. His work addresses challenges in cell-free MIMO, semi-blind channel estimation, and secure communication systems. Recent research trends explore ultra-massive MIMO signal detection, dynamic channel prediction with tensor methods, and cell-free network optimization. His publications span 639 entries, emphasizing practical implementations of theoretical signal processing advancements.

Lora Van Uffelenمشاهده پروفایل

دانشیار

• Underwater Acoustics
• Acoustical Oceanography
• Signal Processing
• +۵ مورد دیگر

Dr. Lora Van Uffelen is an Associate Professor in the Ocean Engineering department at the University of Rhode Island, where she leads the OPERA Lab. Her research spans underwater acoustics, acoustical oceanography, and signal processing, with a focus on autonomous underwater vehicle (AUV) integration for long-range acoustic propagation studies and marine mammal monitoring in Arctic and tropical environments. Education: Ph.D., Oceanography, Scripps Institution of Oceanography (2009) Post-Doctoral Researcher, Scripps Institution of Oceanography (2010) B.S., Engineering, Hope College (2002) Her work combines underwater acoustic modeling , glider navigation , and passive acoustic monitoring for applications in Arctic acoustics, coral reef soundscapes, and real-time positioning systems. Recent publications highlight automated acoustic arrival matching algorithms, Doppler effects on AUV navigation, and self-noise characterization of Seagliders. Grant Leadership: Office of Naval Research (PI, 2023) URI Research Foundation (PI, 2021) NIUVT Collaborative Projects (Co-PI, 2020) The OPERA Lab under Dr. Van Uffelen explores benchmarking underwater platform positioning , acoustic processing automation , and long-range subsurface navigation with projects spanning Hawaii to the Arctic.

• Signal Processing
• Radar Systems
• MIMO Technology
• +۵ مورد دیگر

Michael Zoltowski is the Thomas J. and Wendy Engibous Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. He specializes in radar systems, signal processing, and wireless communication technologies. His research focuses on MIMO radar waveform design, OFDM transmission optimization, and adaptive beamforming techniques. He holds positions in committees such as the Engineering Named Professorships Committee and Faculty Awards Committee. His research interests include radar signal design, waveform diversity, and advanced OFDM systems. He has contributed extensively to topics like Doppler-tolerant radar ambiguity functions, bistatic radar detection, and millimeter-wave beamforming. His work integrates machine learning into radar systems and explores applications in UAV environments. Notable contributions include developing complementary sequence techniques for OFDM transmission, low-complexity detection algorithms in massive MIMO systems, and adaptive beamforming codebook designs. His publications span over two decades, with recent work focusing on high-resolution radar imaging and interference mitigation strategies. Zoltowski has advised numerous projects in radar technology and wireless communications but no specific student names are listed in the provided texts. His work is supported by institutional and external grants, though specific funding details are not disclosed here.

Pierre Sikivieمشاهده پروفایل

استاد

• Particle Physics
• Cosmology
• Dark Matter Detection
• +۳ مورد دیگر

Pierre Sikivie is a Distinguished Professor in the Department of Physics at the University of Florida , affiliated with the Institute of Fundamental Theory and the High Energy Theory group . His research focuses on particle physics and cosmology, particularly axion dark matter, galactic halo structure, and detection methodologies like the Axion Dark Matter eXperiment (ADMX) and the International Axion Observatory (IAXO). He holds a PhD from Yale University (1975) . His research interests include axion properties, Bose-Einstein condensation in dark matter, and the Caustic Ring Model of the Milky Way halo. He has pioneered experimental and theoretical advancements in axion detection, including LC circuit methods and atomic transition-based approaches. His work intersects particle physics, astrophysics, and cosmology, addressing fundamental questions about dark matter composition and galactic dynamics. Key contributions include studies on axion thermalization, dark matter-caustic effects on the Oort cloud, and the 21-cm signal's relation to axion dark matter. Sikivie collaborates on large-scale experiments like ADMX and IAXO, advancing detection technologies such as resonant cavities and Josephson amplifiers. His findings have implications for gravitational interactions, early universe physics, and the search for non-virialized dark matter components. He has advised numerous experiments but no specific students are listed in the provided texts. His work is supported by collaborations across institutions and funded through experimental physics initiatives.

• Biomedical Engineering
• Medical Imaging
• Ultrasound Technology
• +۳ مورد دیگر

Rob Adamson is a Professor and Acting Director at the School of Biomedical Engineering, Dalhousie University. His research focuses on advanced imaging and therapeutic devices using light and ultrasound, with applications in otology, medical implants, and high-frequency ultrasound systems. He collaborates closely with industry partners to translate research into clinical solutions. His current projects include optical coherence tomography for middle ear imaging, ultrasound-based powering of medical implants, and development of a subcutaneous piezoelectric hearing aid (SPAHA). He leads a lab emphasizing applied engineering solutions, recruiting students in math, physics, and engineering disciplines. Key innovations include a 40-MHz phased-array ultrasound transducer for endoscopic imaging and a novel transcutaneous energy transmission system. His work bridges fundamental engineering principles with clinical needs, addressing challenges like long-range imaging in the ear and efficient power delivery to implants. Adamson has pioneered high-frequency ultrasound technologies for ear imaging and co-founded Daxsonics Ultrasound Inc. to commercialize advancements. His research emphasizes miniaturization, beamforming algorithms, and material science for medical devices.