جستجوی استاد راهنمای دانشگاهی

Yimin D. Zhangمشاهده پروفایل

دانشیار

• Statistical Signal Processing
• Array Processing
• Radar Signal Processing
• +۱۰ مورد دیگر

Yimin D. Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at Temple University's College of Engineering, where he leads the Advanced Signal Processing (ASP) Lab. His research spans statistical signal processing, array processing, radar, wireless communications, and convex optimization. Research Interests: Dr. Zhang's work focuses on cutting-edge signal processing techniques including compressive sensing, sparse arrays, time-frequency analysis, and robust beamforming. These are applied to radar systems, satellite navigation, assisted living, and wireless networks. His research addresses core challenges in target localization, direction-of-arrival estimation, and spectrum-efficient joint radar-communication systems. The recent publications highlight a strong trend in exploiting sparsity, virtual arrays, and deep learning to enhance resolution and robustness in radar and communication systems. Themes include multi-frequency processing, low-rank matrix recovery, and optimized OFDM waveforms for dual-function systems. Scientific Awards: 2016 IET Radar, Sonar and Navigation Premium Award 2017 IEEE Aerospace and Electronic Systems Society Harry Rowe Mimno Award 2018 IEEE Signal Processing Society Young Author Best Paper Award (coauthor) Advising and Grants: Dr. Zhang has served as Principal or Co-Principal Investigator on over $6 million in research funding from the NSF, AFRL, ONR, and DARPA. While student advisees are not listed, his leadership of the ASP Lab suggests active mentorship of graduate researchers. He contributes extensively to the academic community as an associate editor for IEEE Transactions on Signal Processing and editor for Signal Processing journal, and serves on key IEEE technical committees. Labs and Teams: He directs the Advanced Signal Processing (ASP) Lab at Temple University, which focuses on developing novel algorithms for real-world applications in radar, communications, and navigation. Previously, he led the Wireless Communications and Positioning Lab and the RFID Lab at Villanova University.

Markus Zimmermannمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Quantitative MRI
• Neuroscience
• +۳ مورد دیگر

Dr. Markus Zimmermann is a researcher at the Institute of Neuroscience and Medicine (INM-4: Physics of Medical Imaging) at the Research Center Jülich. His work focuses on advancing quantitative MRI techniques, particularly in water content mapping, multiparametric imaging, and ultrahigh-field MRI applications. He contributes to developing methods for eddy current characterization, multi-exponential relaxometry, and rapid whole-brain protocols. His research addresses neurological and medical imaging challenges, including cerebral pathologies and neurobiological implications. Key areas of expertise include MRI parameter estimation, medical imaging algorithms, and the integration of advanced imaging techniques for clinical and neuroscience applications. His projects often involve collaborations to validate methodologies using in vivo/ex vivo experiments and super-resolution reconstruction. Dr. Zimmermann’s work aims to enhance diagnostic precision and understanding of brain physiology through innovative MRI technologies.

Mingyan Liمشاهده پروفایل

پژوهشگر ارشد

• Imaging
• Sensing
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Mingyan Li is an Adjunct Research Fellow at The University of Queensland's School of Electrical Engineering and Computer Science. Their research focuses on advanced imaging and sensing technologies with applications in biomedical engineering, particularly in MRI system development, RF coil design, and medical signal processing. They hold a PhD from The University of Queensland (2015). Research interests include high-field MRI systems, rotating RF coil technologies, MRI-Linac integration, and electrical properties tomography (EPT). Key contributions include innovations in MRI-Linac distortion correction, RF shielding for SAR reduction, and deep learning approaches for cardiac arrhythmia classification. Publications span MRI hardware optimization, image reconstruction algorithms, and biomedical signal analysis. Collaborations include work on metamaterial-inspired RF shielding and multi-modal antenna systems for body MRI.

Steven M Wrightمشاهده پروفایل

استاد

• Magnetic Resonance Imaging (MRI)
• Biomedical Engineering
• Antenna Theory
• +۳ مورد دیگر

Steven M. Wright is a Professor of Electrical and Computer Engineering and the Royce E. Wisenbaker Professor II at Texas A&M University's College of Engineering. He is also affiliated with the Biomedical Engineering department. His research focuses on MRI instrumentation, RF engineering, and antenna theory, particularly in phased arrays and high-field imaging systems. Wright holds prestigious fellowships from the ISMRM, IEEE, and AIMBE, and has received awards such as the TEES Fellow Award (1999) and University Faculty Fellow designation (2002–2007). Education: PhD, M.S., and B.S. in Electrical Engineering from the University of Illinois (1980–1984). His work emphasizes innovative MRI coil designs, including broadband receive arrays and transmit systems with improved homogeneity. He leads the Magnetic Resonance Systems Lab, advancing technologies for multinuclear imaging, B1 field mapping, and low-cost MRI education tools. Research interests span RF engineering challenges in MRI, such as decoupling methods, phased array optimization, and parallel transmit systems. His recent studies explore dynamic metabolic imaging using hyperpolarized agents and low-cost MRI systems for teaching and clinical applications. Awards: Over 15 honors, including National Science Foundation Graduate Fellowship (1981–1984) and E. C. Jordan Award (1980). Grants: Supported by TEES and industry partnerships, focusing on RF system innovation and biomedical applications. Labs/Teams: Director of the Magnetic Resonance Systems Lab, collaborating on projects like cryo-cooled microcoils and flexible RF front-end systems.

Nabeel Hamidمشاهده پروفایل

دانشیار

• Early Modern Philosophy
• Kant
• Dilthey
• +۷ مورد دیگر

Nabeel Hamid is an Associate Professor in the Department of Philosophy at Concordia University, currently on sabbatical until June 30, 2026. His academic work bridges medieval, early modern, and nineteenth-century German philosophy with exceptional depth across linguistic traditions. His educational foundation includes a PhD in Philosophy from the University of Pennsylvania (2018), an MA in Philosophy from the University of British Columbia (2012), an MA in Applied Linguistics from Macquarie University (2010), and a BA in Philosophy from the University of Wisconsin-Madison (2004). Hamid's research centers on the evolution of philosophical systems across historical contexts. He specializes in German philosophy from the 17th-19th centuries, with groundbreaking work on Clauberg's reception of Cartesianism, Kant's theories of causation and teleology, and Dilthey's foundations of historical science. His parallel expertise in Latin and Arabic medieval philosophy—particularly Avicenna, Averroes, and Suarez—creates unique cross-traditional dialogues on causation. This dual focus reveals how scholastic frameworks transformed through early modern scientific revolutions. His recent publications (2021-2025) demonstrate rigorous engagement with metaphysical structures across eras. Key patterns include the persistent tension between divine and secondary causality, teleological frameworks in scientific explanation, and the interplay between psychological foundations and historical methodology. His work consistently situates figures like Wolff and Leibniz within broader empirical and critical movements, showing how philosophical systems respond to emerging scientific paradigms. Hamid actively mentors graduate students in the Philosophy MA program at Concordia, accepting new thesis supervision inquiries. His teaching portfolio includes specialized courses on Islamic World philosophy, 17th/18th-century European thought, and advanced seminars on Kant and Leibniz, reflecting his commitment to transmitting complex historical-philosophical frameworks to new generations.

Jo Hajnalمشاهده پروفایل

استاد

• Magnetic Resonance Imaging
• Brain Development
• Diffusion MRI
• +۵ مورد دیگر

Jo Hajnal is Professor of Imaging Sciences at King's College London and Chair in Imaging Physics and Engineering. With affiliations at Imperial College London (1990-2006) and King's College London (2012-present), he specializes in in vivo imaging techniques including MRI, ultrasound, and optical imaging. His work integrates data acquisition , image reconstruction , and analysis pipelines for biomedical applications. Doctor of Science, University of Bristol (1984) Bachelor of Science, University of Bristol (1981) Research interests focus on fetal imaging and neonatal brain development , with major projects like the Developing Human Connectome Project and iFind Project. He has pioneered parallel transmit MRI methods (http://mriphysics.github.io). Recent research outputs span 7 Tesla pediatric epilepsy MRI , low-field fetal imaging , and AI-driven volumetry in fetal scans. His work addresses UN Sustainable Development Goals for education advancement. Fellow, International Society of Magnetic Resonance in Medicine (2014) Current projects include: 3D fetal heart flow measurement (MRC), VR ultra-high field MRI (Action Medical Research), and neonatal injury detection (Rosetrees Trust). Supervised work spans 9 projects, including fetal imaging and neurodevelopmental studies.

• Magnetic Resonance Imaging (MRI)
• RF Pulse Design
• Medical Imaging
• +۵ مورد دیگر

John Pauly is a Professor in the Department of Electrical Engineering at Stanford University's School of Engineering. He co-directs the Magnetic Systems Research Laboratory, focusing on advanced MRI techniques such as RF selective excitation, real-time interactive imaging, and image reconstruction. His teaching portfolio includes courses in medical image reconstruction (EE369C), RF pulse design for MRI (EE469C), and foundational classes in signal processing (EE102A,B), medical imaging (EE169), and communication systems (EE179). Research Interests: MRI system development for image-guided interventions, parallel transmit MRI hardware, safety analysis of medical implants in MRI environments, and balanced SSFP applications for functional brain imaging. Current Teaching: Analog and Digital Communication Systems (EE179) Signals and Systems II (EE102B) Independent studies and thesis advising in biomedical engineering (BIOE392), electrical engineering (EE191W, EE391, EE400, EE190, EE191, EE390), and instructional roles (EE195).

Maren Elisabeth Schwabمشاهده پروفایل

پژوهشگر

• History of Knowledge in the Early Modern Period
• Antiquarianism
• Reception of Antiquity
• +۳ مورد دیگر

Dr. Maren Elisabeth Schwab is a Researcher at the Department of Latin Philology of the Middle Ages and Modern Era at Christian-Albrechts-Universität zu Kiel , Germany. Her scholarly activities focus on History of Knowledge in the Early Modern Period , Antiquarianism , and Thing Studies , particularly examining how material objects and poetic forms transmitted knowledge across centuries. She has held research positions at institutions including Georg-August-Universität Göttingen , University of Bonn , and University of Hamburg . Education: PhD in Latin Philology (Göttingen 2018), State Examinations in Latin/Italian/Greek/Art History (Heidelberg 2014-2016), MA/BA in Classical Philology (Trier 2007-2012) Key Research Areas: Antiquarian Methods in Renaissance and medieval periods Knowledge Production through poetic artifacts Material Culture and textual interaction Classical Reception in European history Scientific Recognition: Athena Prize (German Association of Classical Philologists) Unibund Göttingen Dissertation Prize (2019) International Collaboration: Active in transatlantic projects (Princeton/Newberry Library) and European networks Notable Publications: Co-authored The Art of Discovery (2022) with Anthony Grafton, and edited The Poetics of Things Past (2024). Current projects examine Corpus Inscriptionum Latinarum historiography and poetic knowledge transmission.

• Antenna Design
• Dielectric Lenses
• Transmit-arrays
• +۱۱ مورد دیگر

Jorge Rodrigues da Costa is a Full Professor at the Department of Information Science and Technology (ISTA), Instituto Universitário de Lisboa (ISCTE-IUL), where he also serves as Vice-Rector. He is a Senior Researcher and Coordinator of the Antenna and Propagation Group at the Institute of Telecommunications – IUL. His academic career is deeply rooted in electrical and computer engineering, with a focus on advanced antenna systems and propagation technologies. His educational background includes a Licenciado (1997) and Ph.D. (2002) in Electrical and Computer Engineering from Instituto Superior Técnico (IST), Lisbon, and an Agregação (2010) from ISCTE-IUL. He is a Senior Member of IEEE and has held editorial positions in top journals including IEEE Transactions on Antennas and Propagation and IEEE Open Journal of Antennas and Propagation. His research interests span antenna design (dielectric lenses, transmit-arrays, RFID, MIMO, UWB), biomedical applications (microwave imaging for breast cancer and bone fracture detection), and millimeter-wave systems for 5G, satellite, and beyond-6G communications. He has contributed over 200 publications, with extensive work in IEEE journals, and co-authored four patents. His recent publications (2023–2024) highlight advancements in environmental remote sensing (plastic litter detection), medical diagnostics (bone and breast imaging), and high-performance antenna systems (low-profile transmitarrays, beam steering, 3D-printed antennas). These works reflect a strong trend toward interdisciplinary research combining electromagnetics, biomedical engineering, and sustainable technologies. He has received recognition as a Senior Member of IEEE and has been actively involved in major European projects such as TERRAMETA, aimed at shaping future 6G technologies. Jorge Costa has supervised 7 PhD theses (as supervisor or co-supervisor), 26 MSc theses , and 7 research grants , demonstrating a strong commitment to academic mentorship. He has also led research teams in developing innovative antenna systems for satellite, medical, and 5G applications. His work is supported by affiliations with the Institute of Telecommunications and active collaboration with international research groups. He leads the Antenna and Propagation Group – Lx at IT Lisboa and contributes to the Wireless Technologies thematic line. His team is engaged in cutting-edge projects including microwave imaging systems, low-power cancer screening, and roadmap development for post-6G communications.

Robin S. Reichمشاهده پروفایل

استادیار

• Medieval Mediterranean
• History of Medicine
• History of Science and Technology
• +۴ مورد دیگر

Robin S. Reich is an Assistant Professor of History at Seattle University, affiliated with the Department of History and University Honors. Her research focuses on medieval Mediterranean science, medicine, and cross-cultural exchange, particularly in Southern Italy, Sicily, and North Africa during the 11th-12th centuries. She holds a PhD from Columbia University (2022), MA from Boston College (2015), and BA from Carleton College (2012). Education: PhD (2022): History, Columbia University MA (2015): History, Boston College BA (2012): History (Medieval and Renaissance Studies, Archaeology), Carleton College Research Interests: Her work explores material culture's role in transmitting scientific knowledge across religious and linguistic boundaries. Current projects include a monograph on medieval medicinal substances and the Medievalist Toolkit, analyzing modern uses of medieval imagery in politics and pop culture. She also studies female medical practitioners in the medieval Mediterranean and their parallels with the modern Wellness movement. Teaching: Courses emphasize media literacy and critical analysis, including medieval women’s history, herbal medicine, and the history of science. Recent courses: Medieval Women’s Bodies , History of Herbal Medicine , and The Rise of Science . Key Projects: Monograph: Materials of Medicine: Exchanging, Translating, and Using Transformative Substances in the Medieval Central Mediterranean Co-founder of the Medievalist Toolkit , promoting evidence-based discourse on medievalism

• Magnetic Resonance Imaging
• Magnetic Resonance Spectroscopy
• Ultra-High Field MRI
• +۳ مورد دیگر

Aaron T. Hess is an Associate Professor at the University of Oxford, affiliated with the Wellcome Centre for Integrative Neuroimaging (WIN) and the Nuffield Department of Clinical Neuroscience (NDCN). His work focuses on advancing magnetic resonance imaging and spectroscopy methodologies, particularly at ultra-high field strengths. Education: BSc MSc (med) PhD Hess's research centers on Magnetic Resonance Imaging (MRI) and Spectroscopy (MRS), with emphasis on motion correction, ultra-high field RF safety, and parallel transmit simplification. He has pioneered contact-free methods for tracking head and heart motion and developed tools to streamline access to parallel transmit techniques at 7T MRI. His current efforts prioritize facilitating advanced imaging methodology development while enhancing usability and safety in ultra-high field applications. Analysis of his 2024-2025 publications reveals dominant themes in ultra-high field (7T) MRI innovation, including SNR optimization for perfusion imaging, vessel wall characterization, and multi-organ (brain/heart) RF mapping. Key methodological advances involve accelerated acquisition techniques, simulation-based optimization, and motion-robust approaches applied across neuroimaging and cardiovascular domains. No scientific awards were documented in the source material. Hess currently supervises DPhil candidates James Kent and Matthijs (Thijs) De Buck, with prior mentorship of Charles Millard, Sven Jaeschke, and Hongbae Jeong. Grant funding details were not specified in the provided information. He actively contributes to the Ultra High-Field MRI Physics and MR Spectroscopy research groups within the Neuromusculoskeletal Health and Science Lab at WIN, focusing on translating technical innovations into practical neuroimaging solutions.

LI Rongمشاهده پروفایل

استاد

• Cellular Dynamics
• Mechanobiology
• Biomechanics
• +۶ مورد دیگر

LI Rong is a Professor (courtesy appointment) in the Department of Mechanical Engineering at the National University of Singapore (NUS), and Director of the Mechanobiology Institute (MBI), a Research Centre of Excellence at NUS. She concurrently holds a Distinguished Professorship in the Department of Biological Sciences at NUS. Previously, she served as Bloomberg Distinguished Professor of Cell Biology at Johns Hopkins School of Medicine and Department of Chemical and Biomolecular Engineering at Johns Hopkins University. Her research focuses on cellular dynamics and mechanics, integrating genetics, quantitative imaging, biophysical measurements, mathematical modeling, genomics, and proteomics. This interdisciplinary work aims to understand how eukaryotic cells transmit genomes, adapt to environments, and organize for specialized functions. Her recent publications span entity profiling, temporal data management, and big data analytics systems. Key contributions include the MAROON+ system for temporal entity profiling, HC-Store for hybrid MapReduce-RDBMS systems, and frameworks for optimizing algorithmic trading strategies using MapReduce. LI Rong's leadership roles include directing the Mechanobiology Institute and holding distinguished appointments across multiple institutions. Her work bridges engineering, biology, and computational sciences, reflecting her expertise in both mechanobiology and big data systems.

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

Sydney Williams is an Honorary Lecturer at the University of Glasgow's School of Psychology & Neuroscience (SPN) and an Assistant Professor at Universidad Rey Juan Carlos in Madrid, Spain. They collaborate with the Imaging Centre of Excellence (ICE) at the Queen Elizabeth University Hospital. Williams holds a PhD in Biomedical Engineering from the University of Michigan, and MSc degrees in Electrical and Biomedical Engineering from the same institution, alongside an undergraduate degree in Biomedical Engineering from Illinois Institute of Technology. Affiliations: University of Glasgow (Honorary Lecturer), Universidad Rey Juan Carlos (Assistant Professor) Research Focus: Advanced MRI techniques, RF pulse design, parallel transmission (pTx), high-field MRI (7T), neurovascular imaging, and SAR management. Research interests center on optimizing MRI technology, particularly in parallel-transmit arrays, RF coil design, and improving diffusion-weighted imaging. Their work addresses challenges in high-field MRI such as SAR management, B1+ shimming, and motion correction. Recent projects include developing novel neurovascular coils and improving multi-shot diffusion imaging repeatability. Publications span 43 works since 2013, focusing on topics like pTx array design, RF pulse optimization, and clinical MRI applications. Key grants include funding from the Medical Research Council for 'Cortical layer-specific imaging' (2025-2029) and the Biotechnology and Biological Sciences Research Council for 'Parallel Transmission on a NextGen 7T Scanner' (2022-2023). Williams advises on grants and collaborates with teams at ICE and Glasgow's SINAPSE imaging platform. Their lab focuses on advancing ultra-high field MRI technologies for clinical and research applications.

KENNETH R. AHERNمشاهده پروفایل

دانشیار

• Finance
• Public Policy
• Corporate Mergers
• +۵ مورد دیگر

Dr. Kenneth R. Ahern is an Associate Professor of Finance and Business Economics at the University of Southern California’s Marshall School of Business, and a Research Associate at the National Bureau of Economic Research (NBER). His research focuses on corporate finance, public policy, and the intersection of media, markets, and networks. Key areas include the economic impacts of city governance, cross-border mergers, insider trading networks, and the role of cultural values in business decisions. His work bridges theoretical frameworks with empirical analysis, often leveraging unique datasets such as illegal insider trading records and cultural metrics. Notable contributions include demonstrating how conglomerate firms transmit economic shocks through industry networks, the unintended wealth redistribution effects of rent control policies, and the causal influence of peer groups on risk aversion among MBA students. Awards include the Fama/DFA Prize (First Place) for 'Information Networks' and the Jensen Prize (Second Place) for work on cultural barriers in mergers. His research has been summarized in prominent finance journals and policy memos, highlighting its practical relevance. He has advised on topics ranging from boardroom diversity policies to merger wave dynamics, often collaborating with institutions like NBER to inform public and corporate strategies.

Andrew J. Faganمشاهده پروفایل

استاد

• Medical Physics
• MRI Technology
• Imaging Safety
• +۳ مورد دیگر

Andrew J. Fagan, Ph.D., is a Professor of Medical Physics in the Department of Radiology at Mayo Clinic. He specializes in advancing ultrahigh-field magnetic resonance imaging (MRI) techniques, particularly at 7 Tesla (7T), to enhance diagnostic accuracy and reduce scan times. His work focuses on clinical applications of 7T MRI for neuro and musculoskeletal (MSK) imaging, MRI safety protocols, radiofrequency coil development, and quantitative MRI techniques. Dr. Fagan chairs multiple committees at Mayo Clinic, including the 7T MRI Safety Subcommittee and Technical User Group, ensuring cutting-edge MRI practices are safely implemented. Education: Ph.D. in MRI Physics, University of Aberdeen (2004) Postgraduate Fellowship in Medical Physics, Trinity College Dublin (1997) MSc in Experimental Physics, Trinity College Dublin (1994) BSc (Hons) in Physics, Trinity College Dublin (1992) Research Interests: Dr. Fagan’s research integrates advanced MRI technologies with clinical needs. Key areas include: Development of parallel transmit and deuterium metabolic imaging techniques at 7T Optimization of radiofrequency coils for MSK extremity imaging Reducing scan times using advanced acquisition acceleration Collaborative work with neurosurgery teams for pre-surgical planning Exploring sodium MRI for early stroke detection and tumor therapy monitoring His work bridges physics and clinical practice, aiming to expand 7T MRI accessibility and improve patient care. Publications & Awards: With over 90 peer-reviewed articles and book chapters, Dr. Fagan’s contributions span MRI safety, technical innovation, and clinical applications. He is a Fellow of the Institute of Physics (2016) and the Institute of Physics and Engineering in Medicine (2010), and has received awards such as the Best Oral Presentation at the Irish Association of Physicists in Medicine (2012) and the Astra-Zeneca Prize (2009). Grants & Labs: Dr. Fagan collaborates on projects funded by institutions like Mayo Clinic and the National Institutes of Health. His work is supported by interdisciplinary teams in radiology, physics, and biomedical engineering. He leads initiatives to standardize 7T MRI protocols and improve clinical workflows. Labs/Teams: Active in the Mayo Clinic’s Radiology Division of Medical Physics, collaborating with the 7T MRI Technical User Group and the Radiology Research Committee to advance imaging technologies.