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Wojciech B. ZbijewskiView profile

Associate Professor

• Medical Imaging
• Quantitative Imaging
• Musculoskeletal Health
• +5 more

Wojciech B. Zbijewski is an Associate Professor in the Department of Biomedical Engineering at Johns Hopkins University, affiliated with the Whiting School of Engineering . As the Co-Director of the Biomedical Engineering PhD Program, his research focuses on improving quantitative diagnostic imaging techniques, particularly using x-ray modalities such as radiography, tomosynthesis, CT, and cone-beam CT. His Quantis Lab develops advanced computational models and experimental methods to optimize imaging systems for musculoskeletal and pulmonary applications, emphasizing radiomics, shape analysis, and bone health biomarkers. Education : PhD in Medical Imaging from the University of Utrecht (2006), MS in Medical Physics from the University of Warsaw (2001). Research Interests : His work spans quantitative imaging system optimization, bone and joint health biomarkers, and AI-driven image reconstruction. Key areas include photon-counting CT, dual-energy imaging for bone marrow edema detection, and robotic-assisted surgical navigation using real-time 3D-2D registration. His lab collaborates with the Carnegie Center for Surgical Innovation to advance clinical imaging solutions. Notable Contributions : Led a groundbreaking program on bone health imaging (2017), pioneered motion compensation algorithms for interventional CT, and developed ultra-high-resolution CT techniques for trabecular bone analysis. His research bridges computational methods (e.g., generative AI models) with clinical applications, aiming to improve diagnostic accuracy and surgical outcomes. Labs/Teams : Quantis Lab (focusing on advanced imaging and AI).

Paul TregoningView profile

Professor

• Geophysics
• Climate Science
• Satellite Gravimetry
• +3 more

Prof Paul Tregoning is a Professor in the Research School of Earth Sciences at the Australian National University (ANU). His research focuses on geophysics, climate science, and satellite geodesy, with expertise in GRACE satellite data analysis, hydrological deformation, and tectonic processes. He holds a B. Surv. (Bachelor of Surveying) and a PhD. Research interests include satellite gravimetry applications (e.g., sea level variability, groundwater monitoring), glacial isostatic adjustment modeling, and tectonic deformation studies using GPS and InSAR. His work bridges geodetic observations with climate and hydrological systems, contributing to understanding Earth’s dynamic processes. Recent studies highlight innovations in GRACE data processing (e.g., mascon analysis, noise mitigation) and interdisciplinary applications like forecasting vegetation conditions via satellite data assimilation. His projects include ANU GRACE data analysis, GRACE-FO mission validation, and Antarctic ice sheet modeling. No scientific awards are explicitly mentioned, but his extensive peer-reviewed publications and citation count (4,992) reflect significant academic impact. He collaborates internationally, contributing to initiatives like the Australian Centre for Excellence in Antarctic Science.

• Language Processing
• Cognitive Neuroscience
• fMRI
• +5 more

Idan Blank is an Assistant Professor with dual appointments in the Psychology Department and the Linguistics Department at the University of California, Los Angeles, within the College of Letters and Science. His research bridges cognitive neuroscience, linguistics, and artificial intelligence to investigate how humans understand language—a universal phenomenon across human cultures yet unique to our species that enables thought transfer between minds. Dr. Blank earned his PhD in Cognitive Science from the Massachusetts Institute of Technology in 2016 and his MA in Psychobiology from Tel Aviv University in 2011. His academic journey reflects a strong foundation in both cognitive science and biological approaches to understanding the mind. Dr. Blank's research program focuses on the neural mechanisms underlying language comprehension, examining which aspects of comprehension have dedicated neural circuitry versus those that rely on more general cognitive systems. His work employs functional MRI, behavioral experiments, and computational modeling to investigate how language "happens" in our minds and brains. The BlankLangLab, which he leads, studies the component processes of comprehension, the mental structures that allow us to "know the meaning" of utterances, and the mental operations used to manipulate them. His research increasingly explores connections between artificial intelligence language models and human cognitive processing. Analysis of Dr. Blank's recent publications reveals a strong emphasis on precision mapping of language networks, investigations of language processing across diverse populations (including polyglots and older adults), and examinations of how language processing relates to other cognitive systems like theory of mind. His work demonstrates a clear trajectory toward integrating neuroimaging data with computational approaches to better understand the architecture of human language processing. While specific awards aren't detailed in the provided information, Dr. Blank's research has garnered significant scholarly attention, with numerous publications in high-impact journals including Proceedings of the National Academy of Sciences, Trends in Cognitive Sciences, and Journal of Neuroscience. Several of his papers have accumulated substantial citation counts, reflecting the importance of his contributions to cognitive neuroscience and language processing research. Dr. Blank leads the BlankLangLab at UCLA, which investigates language, understanding, and thought through neuroimaging, behavioral, and machine learning approaches. His lab maintains strong collaborative ties with other research groups, particularly in the area of language network mapping. The lab's research program integrates precision mapping techniques with naturalistic paradigms to characterize functional brain regions engaged during language processing, with recent work increasingly incorporating large language models to bridge AI and human cognition.

Xueyu SongView profile

Professor

• Theoretical Chemistry
• Computational Chemistry
• Electron Transfer
• +11 more

Xueyu Song is a Professor of Chemistry at Iowa State University, affiliated with the Ames Laboratory of the U.S. Department of Energy. Their research focuses on theoretical and computational tools for chemical reactions in chemical and biochemical systems. Ames Laboratory of the U.S. Department of Energy Department of Chemistry, Iowa State University Education: Postdoctoral Fellow, University of California, Berkeley (1995-1998) Ph.D., California Institute of Technology (1995) Research Interests: The group develops theories for electron transfer in solutions and inhomogeneous materials, solvent effects on chemical reactions, solvation dynamics in protein environments and ionic fluids, phase behaviors of metallic systems, nucleation kinetics, protein-protein interactions, and protein crystallization. Recent work integrates machine learning with supercooled liquids and extends the Debye-Hückel theory beyond dilute solutions. Sub-diffraction imaging using heterodyne and entangled photons is also studied. Recent Article Trends: Publications span 2019-2024, focusing on solvation dynamics in ionic fluids, nanodomain analysis via single-molecule tracking, machine learning for heterogeneities in supercooled liquids, extensions of Debye-Hückel theory, and phase behavior in metallic systems. Computational methods like density functional theory, molecular dynamics, and Bayesian inference are key tools. Contact: Email xsong@iastate.edu , Phone: 515-294-4383, Office: 303 Wilhelm, 2332 Pammel Dr, Ames, IA 50011-1025.

Lisa D'SouzaView profile

Professor

• Teacher Education
• Social Studies Curriculum
• Middle School Education
• +4 more

Lisa D'Souza, Ph.D., is a Professor of Education at Assumption College, located in Worcester, MA. She specializes in teacher education, social studies curriculum development, and middle school pedagogy. Her research focuses on fostering growth mindset classrooms, intercultural competence in pre-service teachers, and repositioning social studies education in accountability-driven environments. Dr. D'Souza holds a B.A. (1998) and M.A.Ed. (1999) from Wake Forest University, and a Ph.D. (2009) from Boston College, where her dissertation explored 'Assessing what counts: Learning to teach for pupil learning.' She teaches courses such as Edu 101 – Teachers and Teaching in American Schools and Edu 344 – Curriculum and Methods in History and Social Science (5-12) . Her research interests include bridging gaps in beginning teacher mentorship, promoting civic education through global perspectives, and integrating technology like ESRI story maps into social studies instruction. She has received prestigious awards including the Kim Fries Early Career Scholars Award (2019) and the Assumption College Michael O’Shea Presidential Award for Excellence in Teaching (2017). Dr. D'Souza actively contributes to professional organizations such as the National Council for Social Studies and the American Educational Research Association. Her work emphasizes social justice, equity, and the development of future educators prepared to address 21st-century challenges in diverse classrooms.

Sabine HossenfelderView profile

Researcher

• Quantum Foundations
• Quantum Mechanics
• Dark Matter
• +3 more

Dr. Sabine Hossenfelder is a Researcher at Ludwig-Maximilians-Universität München (LMU), where she explores foundational questions in physics. She holds a PhD in Physics from the University of Frankfurt (2003) and has conducted research across particle physics, quantum gravity, dark matter, and quantum foundations. Her current work focuses on superdeterminism and locality in quantum mechanics, challenging conventional assumptions about Bell’s theorem and finetuning. Dr. Hossenfelder is also a prominent science communicator, hosting the YouTube channel “Science without the Gobbledygook” and authoring books like *Lost in Math* (2018) and *Existential Physics* (2022), which critique biases in theoretical physics and explore the philosophical dimensions of science. Her research interests include the mathematical and philosophical underpinnings of quantum mechanics, with recent emphasis on experimental tests of superdeterminism and its implications for locality. She has also contributed to astrophysics studies, such as analyzing dark matter profiles in galaxies using superfluid models. Through her writing and media work, she advocates for scientific rigor and skepticism of unfalsifiable theories.

Robert P. LoughmanView profile

Associate Professor

• Atmospheric Physics
• Remote Sensing
• Radiative Transfer Modeling
• +3 more

Robert P. Loughman is the Department Chair and Associate Professor in the Department of Atmospheric and Planetary Sciences at Hampton University. He holds a Ph.D. in Atmospheric Sciences from the University of Arizona (1998) and a B.S. in Physics from the College of William and Mary (1993). His research focuses on improving understanding of the Earth-atmosphere system through remote sensing data analysis, particularly in radiative transfer modeling, aerosol retrieval, and limb scattering sensor applications. He has contributed to studies using satellite instruments like OMPS Limb Profiler and SAGE III. His teaching includes graduate courses in Atmospheric Radiative Transfer and Measurements. Education: B.S. Physics, College of William and Mary, 1993 M.S. Atmospheric Science, University of Arizona, 1995 Ph.D. Atmospheric Sciences, University of Arizona, 1998 Research Interests: Development of radiative transfer tools, aerosol property retrieval from limb scattering data, and validation of remote sensing systems. Key projects include analysis of volcanic aerosol clouds (e.g., Hunga Tonga eruption) and collaborative sensor comparisons (e.g., OMPS, OSIRIS, SCIAMACHY). Labs/Teams: Associated with the Hampton University Lidar Laboratory (HULL). Grants/Advising: No explicit grant details provided, but collaborates with NASA and international teams on sensor development and data analysis.

• Networked Music Performance
• Optical Networks
• Software-Defined Networking (SDN)
• +3 more

Andrea Bianco is a Full Professor at Politecnico di Torino in the Department of Electronics and Telecommunications. He serves as Vice Rector for Internal Affairs since 2024 and previously held roles such as Department Head and member of the Academic Senate. His research focuses on optical networks, software-defined networking, and networked music performance. He has authored over 220 publications with an h-index of 27 and received the Best Paper Award at IEEE GLOBECOM 2009. Education: Dr.Ing. in Electronics Engineering (1986) and Ph.D. in Telecommunications Engineering (1994), both from Politecnico di Torino. Research Interests: High-speed switching, SDN/NFV, network music performance, and energy-efficient optical networks. His work includes leading projects like SFINGI (virtualization in software routers) and ZeTON (Zero-Touch Optical Networks). He has collaborated with industries like Cisco, Alcatel, and BT. Bianco is an IEEE Senior Member and has co-chaired major conferences such as IEEE GLOBECOM and Networking.

Diane M. TwicklerView profile

Professor

• Fetal Imaging
• Gynecologic Ultrasound
• Magnetic Resonance Imaging
• +4 more

Diane M. Twickler, M.D., FACR, is a tenured Professor of Radiology and Obstetrics and Gynecology at UT Southwestern Medical Center, where she holds the Dr. Fred Bonte Professorship in Radiology. She serves as Vice Chair-at-Large for the Department of Radiology and as Medical Director of Obstetric and Gynecologic Ultrasound at Parkland Health. Dr. Twickler is actively involved in medical education as a member of the Strategic Planning Committee for Undergraduate Medical Education and as course director for Radiology Grand Rounds. Dr. Twickler's research focuses on fetal and gynecologic imaging using ultrasound and magnetic resonance techniques. Her work spans fetal MR biometry, assessment of fetal dysmorphology, placentation imaging including myometrial invasion, and imaging of ovarian and uterine diseases. She has particular expertise in placenta accreta spectrum disorders, fetal gastrointestinal abnormalities, and ultrasound applications in high-risk pregnancies. Analysis of Dr. Twickler's recent publications reveals a strong emphasis on placenta accreta spectrum disorders, with multiple studies comparing MRI and ultrasound for diagnosis and predicting surgical outcomes. Her research increasingly incorporates advanced imaging techniques including radiomics and machine learning models to improve diagnostic accuracy. The temporal progression shows growing focus on early diagnosis in the first trimester and quantitative assessment methods. Scientific Awards and Honors: Fellow of the American College of Radiology (FACR) Dr. Fred Bonte Professorship in Radiology Dr. Twickler has authored over 100 publications and serves as associate editor of Williams Obstetrics. She has written 13 book chapters emphasizing her clinical expertise and serves as a reviewer for multiple prestigious journals including Radiology, Obstetrics and Gynecology, and the American Journal of Roentgenology. Her educational contributions include serving on the university's Promotion and Tenure Committee and implementing innovative medical school curriculum as part of the Strategic Planning Committee for Undergraduate Medical Education. Dr. Twickler is an active member of numerous professional societies including the Texas Radiological Society, where she has assumed leadership roles, and is a founding member of the Texas Radiologic Society Foundation. Her work bridges radiology and obstetrics, creating a specialized niche in maternal-fetal imaging that has significant clinical impact on patient management and outcomes.

• Biodiversity Conservation
• Tropical Ecology
• Wildlife Ecology
• +3 more

Dr. Andrew Whitworth is an Affiliate Researcher at the University of Glasgow's School of Biodiversity, One Health & Veterinary Medicine. His research focuses on biodiversity conservation, tropical ecology, and ecological monitoring in rainforest ecosystems. He has conducted extensive fieldwork in Costa Rica and Peru, studying wildlife behavior, habitat disturbance impacts, and conservation strategies. Key Methodologies: Camera trapping, drone-mounted thermal imaging, acoustic detection, and multi-data approaches. Key Regions: Osa Peninsula (Costa Rica), Manu Biosphere Reserve (Peru). Collaborations: Partnerships with institutions like IBAHCM and local conservation organizations. Whitworth’s work emphasizes understanding how human activities and habitat fragmentation affect wildlife populations, particularly mammals, amphibians, and birds. Recent studies include predator-prey dynamics of the Greater Grison, ocelot population estimation, and the ecological role of spider monkeys. His research also explores cost-effective conservation tools like citizen science and remote sensing. Publications highlight innovative methods for monitoring biodiversity, such as using drones for canopy surveys and thermal sensors for sea turtle nesting. His findings underscore the importance of indigenous land management and wildlife corridor design in preserving biodiversity.

• Statistical Ecology
• Spatial Statistics
• Epidemiological Modeling
• +3 more

Ali Arab is an Associate Professor and Director of Graduate Studies in the Department of Mathematics and Statistics at Georgetown University's College. His academic focus integrates statistical methodologies with ecological and public health challenges. He holds a Ph.D. from the University of Missouri-Columbia and an M.S. from Southern Illinois University. Ph.D. in [Discipline], University of Missouri-Columbia M.S. in [Discipline], Southern Illinois University Research interests span statistical ecology, spatial statistics, and epidemiological modeling. He develops innovative statistical tools to address environmental and public health issues, such as Lyme disease surveillance and migration misinformation analysis. His work also explores climate impacts on avian migration patterns and vector-borne disease dynamics. Recent publications emphasize spatial-temporal modeling, Bayesian approaches, and digital health data applications. His articles highlight trends in using statistical methods to tackle real-world problems like pandemic communication and environmental health risks. While specific grants and awards are listed in his profile, detailed information is not provided here. His advising and grant activities are central to his role in fostering graduate research.

• Agricultural Sustainability
• Nutrient Management
• Climate Change Mitigation
• +3 more

Hein ten Berge is a researcher at Wageningen University & Research, affiliated with Agro Field Technology Innovations. His work focuses on nutrient management, greenhouse gas emissions, and sustainable agricultural practices. He leads projects like the Nutrient Cycle Count and VALERIE model, aiming to enhance agricultural efficiency and reduce environmental impact. Key research areas include organic fertilizers, nitrogen utilization, and circular economy principles in food systems. He has contributed to global studies on cereal production sustainability in sub-Saharan Africa, emphasizing tripling yields with minimal emissions. His research spans grassland ecology, soil-microbe interactions, and policy-relevant indicators for nutrient use efficiency. He actively participates in international conferences and collaborates across Europe and beyond. ten Berge has led multiple projects since 2012, addressing topics like nitrate management, soil fertility, and agroecosystem modeling. His work bridges academic research with practical applications, informing policy and sustainable farming practices.

Jürgen FrankeView profile

Professor

• Nonlinear Time Series Analysis
• Stochastic Processes
• Statistical Methodology
• +5 more

Prof. Dr. Jürgen Franke is a renowned academic in statistics and applied mathematics. He held the position of Professor C4 (Chair) for Applied Mathematical Statistics at Technische Universität Kaiserslautern from 1988 to 2017. Since 2017, he has been a Consultant Researcher at the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern. His research focuses on nonlinear time series analysis, stochastic processes, and their applications in finance, risk management, and biomedical data analysis. Education: - Diplom in Mathematics, Goethe-Universität Frankfurt a.M., 1974. - PhD (Dr. phil.nat.) in Mathematics, Goethe-Universität Frankfurt a.M., 1980. - Habilitation in Mathematics, Goethe-Universität Frankfurt a.M., 1985. Research Interests: Franke's research emphasizes the development of statistical methodologies for nonlinear time series, spatial data, and stochastic processes. Key areas include local smoothing techniques (kernel and wavelet-based estimates), functional data analysis, resampling methods (bootstrap), and nonparametric approaches in machine learning. His applied work addresses challenges in finance, risk management, and biomedical data analysis where traditional methods may be insufficient. Advising and Grants: While specific grants are not detailed, Franke has collaborated extensively with researchers in applied mathematics and statistics, contributing to numerous projects. His work often intersects with interdisciplinary applications, reflecting a commitment to bridging theoretical and practical domains. Labs/Teams: Affiliated with the Department of Mathematics at TU Kaiserslautern and the Fraunhofer Institute for Industrial Mathematics (ITWM), where he focuses on applied statistical research and collaboration with industry.

Dominique GinhacView profile

Professor

• Hardware design of smart vision systems
• Real-time image processing applications
• VLSI CMOS imaging technology
• +5 more

Dominique Ginhac is a Professor of Electrical Engineering at the Laboratory of Electronics, Informatics and Image (Le2i UMR 6306) at the University of Burgundy in Dijon, France. He joined Le2i as an assistant professor in 2000 and was promoted to professor in 2009, also becoming head of the Sensors & Hardware Architectures team. In 2010, he became head of the Electronic department of Le2i, and in 2011, he was appointed Deputy Director of Le2i, overseeing approximately 200 people across three scientific departments: Computer Sciences, Vision, and Electronic. Ginhac holds a Master's Degree in Engineering from Polytech Clermont-Fd (1995) and a PhD in Computer Vision from Blaise Pascal University (1999). In 2008, he received his Habilitation qualification (Accreditation to supervise research) from the University of Burgundy. From 2007 to 2009, he was a visiting professor at Université Libre de Bruxelles in the Consciousness, Cognition & Computation lab, expanding his expertise into cognitive science applications for imaging systems. His research focuses on the development of smart imaging technology where sensing and processing are integrated as closely as possible to achieve low cost, low power, and high processing capabilities. His work spans hardware design of smart vision systems, implementation of real-time image processing applications, VLSI CMOS imaging technology, and embedded image processing on DSP/FPGA platforms. His research activities represent the crossroads between algorithmic and hardware solutions dedicated to real-time embedded image processing applications. An analysis of Ginhac's recent publications reveals a strong focus on smart camera and sensor development, particularly in high dynamic range imaging, single-photon detection, and configurable hardware accelerators. His work shows a clear trajectory from fundamental VLSI image sensor design toward increasingly sophisticated integrated systems combining sensing, processing, and specialized applications in medical imaging and real-time vision. His interdisciplinary approach bridges electronics, computer vision, and application-specific system design. Throughout his career, Ginhac has supervised 8 PhD students and published 20 papers in international peer-reviewed journals, 3 book chapters, and more than 50 conference papers. His research has resulted in several significant projects including VerIDIS (Vertically Integrated Digital Image Sensor), CAPTIvA (Asynchronous Photon-counTing Image sensor Architecture), HDR-ARtiSt (High Dynamic Range Adaptive Real-time Smart camera), and ASTICO (Assistance Textile Cognitive). Ginhac leads the Electronic department at Le2i, which is part of a research laboratory under the supervision of the University of Burgundy and the CNRS. His work involves close collaboration with industry partners and has resulted in practical implementations of smart imaging systems for applications ranging from medical monitoring to automotive vision systems. His current research continues to push the boundaries of integrated vision systems, with particular emphasis on 3D-stacked image sensors and photon-counting technologies.

John Peter Merryman BoncoriView profile

Professor

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• Glaciology
• +4 more

John Peter Merryman Boncori serves as Head of Microwaves and Remote Sensing at the Department of Space Research and Technology, Technical University of Denmark (DTU). His research directly contributes to UN Sustainable Development Goals through advanced Earth observation techniques. His research spans Remote Sensing , Synthetic Aperture Radar , and Glaciology , with specific expertise in InSAR processing for tectonic monitoring and ice sheet dynamics. Key focus areas include: Greenland Ice Sheet velocity measurement using SAR Multi-scale analysis of active fault systems in Italy Validation of ground motion services using GNSS Subglacial hydrology modeling in polar regions Dr. Boncori actively supervises PhD research in critical areas: Crowd counting via remote sensing (CroCo project) Field-scale soil moisture mapping InSAR error characterization Ship tracking with iceberg discrimination Ice velocity retrieval using TOPS-mode SAR He leads the Microwaves and Remote Sensing group at DTU Space, developing advanced methodologies for radar interferometry and satellite-based deformation monitoring. His team maintains strong international collaborations across Europe for Earth observation projects, with particular emphasis on cryosphere and tectonic applications.