جست‌وجوی استاد و پژوهشگر

Srinivasa G. Narasimhanمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Computational Imaging
• +۵ مورد دیگر

Srinivasa G. Narasimhan is the U.A. and Helen Whitaker Professor of Robotics at Carnegie Mellon University's Robotics Institute within the School of Computer Science. He directs the Illumination and Imaging Laboratory (ILIM) and leads the Computational Imaging group, focusing on the physics of computer vision and graphics. His research develops novel imaging technologies for applications in robotics, transportation, medical imaging, and environmental sensing. Research interests span computational imaging, light transport modeling, and active perception systems. Key areas include: Physics-based vision for atmospheric and material interactions Novel camera designs and programmable lighting systems Robust perception for autonomous vehicles and medical diagnostics Non-line-of-sight imaging and computational scatterography Publications demonstrate strong emphasis on 3D reconstruction, computational optics, and vision systems for intelligent transportation. Recent works leverage self-supervised learning for dynamic scene understanding and develop novel sensors for medical and automotive applications. Awards and honors include: Best Paper awards at CVPR (2019, 2022), IV (2021), and ICCP (2020) Marr Prize Honorable Mention (ICCV 2013) Multiple demo awards at CVPR/ICCP Current advising includes 5 PhD students and 1 master's student. Major grants include NSF EXPEDITIONS (Computational Photo-Scatterography), DARPA REVEAL, and industry support from Ford, GM, Adobe, and Zillow. Manages multiple labs developing technologies like adaptive headlights, thermal imaging systems, and MHz-rate light steering devices.

Markus Desernoمشاهده پروفایل

استاد

• Biological Physics
• Theoretical Biophysics
• Computational Biophysics
• +۵ مورد دیگر

Markus Deserno is a Professor of Physics at Carnegie Mellon University's Mellon College of Science, Department of Physics, where he serves as Director of Graduate Affairs. His research focuses on theoretical and computational biological physics, investigating mesoscopic phenomena in lipid membranes, proteins, and other biological systems through the lens of fundamental physical principles. Educational background: Ph.D. from Max-Planck-Institute for Polymer Research (2000) Habilitation in Computational Physics from Mainz University, Germany (2006) Deserno's work centers on how thermal fluctuations, cooperativity, self-assembly, and elasticity govern biological systems at scales between atomic resolution and whole cells. He employs continuum elastic theories, differential geometry, and coarse-grained simulations to develop simplified models that capture essential physics without atomic detail. His research group actively explores membrane mechanics, phase behavior, and curvature elasticity, with particular emphasis on asymmetric lipid bilayers and their biological implications. Analysis of his 15 most recent publications reveals a dominant focus on membrane asymmetry (appearing in 8/15 papers), Gaussian curvature mechanics (6/15), and computational methodology development (12/15). His work increasingly integrates DNA nanotechnology with membrane systems and addresses thermodynamic consequences of lipid composition. Honors include: Thomas E. Thompson Award from Biophysical Society (2021) Otto Hahn-Medal from Max Planck Society (2001) As Section Editor for The Biophysical Journal and active member of four professional societies (American Physical Society, Biophysical Society, American Chemical Society, German Physical Society), Deserno maintains significant scholarly engagement. His research group, featuring members Nick, Mert, Martina, Muhammed, Nishchay, and Amirali, receives funding from federal agencies supporting computational biophysics research. The Deserno group operates within Carnegie Mellon's high-performance computing environment, developing specialized simulation tools for mesoscale membrane phenomena while maintaining strong collaborations with experimental biophysics laboratories worldwide.

• Radio Astronomy
• Astrophysics
• Pulsar Studies
• +۳ مورد دیگر

Sam McSweeney is a Researcher at Curtin University's School of Electrical Engineering, Computer and Mathematical Sciences (EECMS), part of the Faculty of Science and Engineering. His work focuses on pulsar astrophysics, subpulse drifting phenomena, and radio transient detection using instruments like the Murchison Widefield Array (MWA). Key research areas include magnetar-like radio transients, nulling pulsars, and multiwavelength studies of neutron stars. He has contributed to major surveys like the SMART pulsar survey and developed advanced data processing pipelines for transient detection. Publications since 2023 highlight discoveries of long-period radio transients, emission state-switching phenomena, and multi-instrument follow-up strategies. His work bridges observational astronomy with computational techniques, emphasizing high-time resolution observations and GPU-based imaging for FRB searches.

• Computer Vision
• Medical Imaging
• Deep Learning
• +۳ مورد دیگر

Yu Huang is a Researcher in the Department of Mathematical and Statistical Sciences at Clemson University's College of Science. His work focuses on advancing computational methods in medical imaging, computer vision, and deep learning applications. His research includes developing multimodal models for ophthalmology, enhancing 3D graphics rendering, and improving biomedical image analysis through active learning frameworks. Notable projects involve generative models for retinal imaging and shadow removal techniques in computer vision. His research interests span computational ophthalmology, neural rendering, and AI-driven biomedical solutions. Recent efforts emphasize scalable diffusion models for high-resolution synthesis and robust medical image segmentation using test-time augmentation. Yu Huang's publications reflect a strong emphasis on interdisciplinary research at the intersection of computer science and healthcare. His work addresses challenges in both foundational AI methodologies and their practical applications in clinical settings.

John M. M. Andersonمشاهده پروفایل

استاد

• Image Processing
• Signal Processing
• Medical Imaging
• +۳ مورد دیگر

John M. M. Anderson is a Professor of Electrical Engineering and Dean of the Howard University College of Engineering and Architecture (CEA). He holds a Ph.D. from the University of Virginia, an M.S. from Georgia Institute of Technology, and a Sc.B. from Brown University. His research focuses on signal/image processing, particularly for medical imaging modalities (e.g., PET, X-ray CT) and ground-penetrating radar (GPR) systems for landmine/IED detection. He has developed iterative MAP estimation algorithms and high-resolution imaging techniques using SLIM/SPICE frameworks. Education: Ph.D. in Electrical Engineering, University of Virginia (2002) M.S. in Electrical Engineering, Georgia Institute of Technology (1987) Sc.B. in Electrical Engineering, Brown University (1985) Awards: NSF CAREER Award Professional Roles: Past health science administrator at NIH/NIBIB Associate editor for IEEE Signal Processing Letters Grants & Partnerships: Recipient of DOE HBCU Clean Energy Education Prize Lead in $1.3M Microchip Partnership at Howard University Dr. Anderson’s work bridges academia and industry, emphasizing applications in biomedical imaging and defense technologies. His patents and collaborative projects reflect a commitment to advancing engineering education and innovation in HBCUs.

Ian Drydenمشاهده پروفایل

استاد

• Statistical Shape Analysis
• Object-Oriented Data Analysis
• Functional Data Analysis
• +۳ مورد دیگر

Ian Dryden is a Professor of Statistics at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. He holds a Ph.D. from the University of Leeds (1989) and has held academic positions at Florida International University, University of Nottingham, University of Chicago, and multiple stints at USC. His research focuses on statistical methodology for highly-structured data, including shape analysis, functional data analysis, and object-oriented data analysis. He has authored over 150 publications and two influential books: Statistical Shape Analysis (2016) and Object-Oriented Data Analysis (2022). Dr. Dryden’s work spans applications in medical imaging, corpus linguistics, environmental science, and Bayesian spatial modeling. Recent projects include using remote sensing for peatland monitoring and Bayesian hierarchical models for urban deprivation analysis in Tanzania. He has secured over $20M in grants as PI/Co-I and is an elected Fellow of the Institute of Mathematical Statistics. His research outputs emphasize methodological innovation, with key contributions to shape trajectory analysis, manifold-valued data regression, and Riemannian manifold smoothing splines. Collaborative work includes interdisciplinary projects in genetics, pharmacology, and environmental science, reflecting his broad statistical expertise and impact across disciplines.

Sarah Jacquetمشاهده پروفایل

استادیار

• Paleobiology
• Sedimentology
• Functional Morphology
• +۳ مورد دیگر

Dr. Sarah Jacquet is an Assistant Professor in the Department of Geological Sciences at the University of Missouri's College of Arts and Science. Her research focuses on paleobiology, sedimentology, and functional morphology of fossil groups, employing micro-CT, petrographic, and geochemical techniques to study taphonomic biases across geological periods. She investigates Cambrian small shelly fossils, Silurian jellyfish, and Eocene coprolites to reconstruct paleoenvironments and evolutionary patterns. Her educational background includes a Ph.D. in Biological Sciences from Macquarie University (2013-2016), Honours in Palaeobiology (2012), and a B.S. in Palaeobiology (2009-2011) from the same institution. Her recent publications predominantly explore Cambrian small shelly faunas, taphonomic methodologies, and geochemical proxies in sedimentary systems. Research trends show strong emphasis on integrating high-resolution imaging with stratigraphic and geochemical analyses to resolve preservation biases in the fossil record.

J. Quincy Brownمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Cancer Diagnostics
• Biomedical Optics
• +۳ مورد دیگر

J. Quincy Brown is an Associate Professor in the Department of Biomedical Engineering at Tulane University's School of Science and Engineering. His laboratory focuses on developing translational optical spectroscopy and imaging methods for improving cancer management in clinical settings, particularly surgical tumor removal. Research emphasizes device development and clinical validation through physician collaborations. Education: Ph.D. Biomedical Engineering, Louisiana Tech University (2005) B.S. Biomedical Engineering, Louisiana Tech University (2001) Postdoctoral Fellow, Biomedical Engineering, Duke University (2009) Research spans quantitative spectroscopy, fluorescence histology, structured illumination microscopy, and real-time diagnostic platforms. Work integrates optical engineering with oncology to develop clinical tools for tumor margin assessment and rapid biopsy analysis through collaborations with surgical teams. Recent publications demonstrate focus on advanced microscopy platforms (2021-2025), including PathCAM for digital pathology, light sheet microscopy optimizations using deep learning, and clinical validation studies of structured illumination for breast/prostate cancer. Technical innovations prioritize clinical translation through closed-loop systems and workflow integration. Awards and Honors: NIH NRSA Postdoctoral Fellowship (2006) Duke Cancer Center Young Investigator Award (2007) 4× AEMB Teacher of the Year (2013-2019) OSA Biophotonics Congress Chair (2019) Y Combinator recognition for Instapath Inc (2019) Tulane University Research Achievement Award (2021) NIH Imaging Technology Development charter member (2021-27) School of Science and Engineering All-Around Award (2022) Leads courses in Biomedical Optics (BMEN 6170) and Biomedical Signals/Systems (BMEN 3730/6730). Collaborates with clinical partners to develop intraoperative imaging solutions and validate diagnostic platforms in surgical oncology workflows.

Majid Ahmadiمشاهده پروفایل

استاد

• Digital Signal Processing
• Machine Vision
• Pattern Recognition
• +۴ مورد دیگر

Dr. Majid Ahmadi is a Distinguished Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Windsor's Faculty of Engineering. He holds a BSc from Sharif University of Technology (1971) and a PhD from Imperial College London (1977). His research focuses on digital signal processing, machine vision, VLSI systems, and memristive circuits. He is a Chartered Engineer (UK) and a Fellow of both IET and IEEE. His work spans cutting-edge areas including low-power VLSI architectures, illumination-invariant face recognition, and 3D IC testing. Recent publications address energy-efficient cognitive radio networks and microstrip filter optimization. His professional accolades include prestigious engineering fellowships. He advises graduate research in advanced signal processing and integrated circuit design. His contributions to IEEE Transactions and IET journals reflect his leadership in interdisciplinary electronics research.

Craig Glennieمشاهده پروفایل

استاد

• Kinematic Remote Sensing
• Lidar Processing
• 3D Change Detection
• +۶ مورد دیگر

Craig Glennie is a Professor in the Civil and Environmental Engineering department at the Cullen College of Engineering , University of Houston . He serves as the Director of the National Center for Airborne Laser Mapping (NCALM) and Director of Engineering Defense Research Initiatives . His research focuses on kinematic remote sensing, lidar processing, 3D change detection, and open-source software development. Education: Ph.D. and B.Sc. in Geomatics Engineering from the University of Calgary (1999, 1996). Professional Experience: Faculty member at the University of Houston since 2010, with prior industry roles at Terrapoint USA Inc. and Aerotec LLC. Research Trends: His recent publications emphasize advancements in lidar technology, flood modeling, volcanic CO2 monitoring, and applications of machine learning to geospatial data. Notably, he has contributed to NASA's Surface Topography and Vegetation missions and developed methods for ICESat-2 data analysis. Labs & Teams: Leads NCALM, a national facility for airborne lidar data acquisition and processing, and collaborates on defense research initiatives.

Katherine Willetsمشاهده پروفایل

استاد

• Plasmonics
• Single-Molecule Spectroscopy
• Super-Resolution Imaging
• +۴ مورد دیگر

Katherine (Kallie) Willets is a Professor in the Department of Chemistry at Temple University's College of Science and Technology. Her research investigates nanoscale heterogeneity in materials using plasmonic nanoparticles, spectroscopy, and microscopy techniques including super-resolution imaging, single-molecule fluorescence, and surface-enhanced Raman scattering (SERS). The Willets Lab studies how nanoscale variations impact optical, electronic, and chemical properties of materials. Her research interests focus on developing advanced microscopy techniques to probe interactions between light, nanomaterials, and molecules. Current projects examine plasmon-mediated processes, single-entity electrochemistry, and nanoscale chemical imaging. The lab combines optical spectroscopy with structural characterization methods like atomic force microscopy and electron microscopy. Dr. Willets received her B.A. in Chemistry from Dartmouth College (1999), Ph.D. from Stanford University (2005), and conducted postdoctoral research at Northwestern University (2005-2007). She has received numerous awards including the Department of Energy Early Career Award, Robert L. Smith Early Career Professorship, and Air Force Office of Scientific Research Young Investigator Award. She currently serves as Associate Editor for ACS Nano. Her educational outreach includes Buckets & Beakers (combining science with basketball), Adventures in Silver (high school chemistry workshops), and mentoring science fair projects. The lab maintains active collaborations and develops tools for nanoscale characterization.

Lanbo Liuمشاهده پروفایل

استاد

• Geophysics
• Engineering Site Characterization
• Wave Propagation Simulation
• +۳ مورد دیگر

Dr. Lanbo Liu is a Professor at the University of Connecticut specializing in geophysics and engineering geology. His research focuses on advanced geophysical methods for subsurface imaging, including seismic and electromagnetic techniques applied to urban infrastructure, permafrost environments, and fault detection. He holds a Ph.D. in Geophysics from Stanford University, complemented by M.S. degrees in Environmental Engineering and Geophysics from Stanford and Peking University, as well as a B.S. in Geophysics from Peking University. Research interests include engineering site characterization, wave propagation modeling, environmental geophysics, and the integration of passive and active seismic data. Notable work involves using ambient noise for urban subsurface imaging and developing novel GPR and radar techniques for infrastructure assessment. His projects span global locations such as Tibet, South Korea, and Inner Mongolia, addressing challenges in permafrost thawing, fault zone analysis, and tunnel prospecting. Dr. Liu’s work emphasizes practical applications of geophysical methods for civil engineering and environmental sustainability. He has published extensively on topics including ground-penetrating radar innovations, seismic hazard assessments, and subsurface structure characterization. His contributions advance both theoretical geophysics and applied engineering solutions in complex environments.

Kelly Matushمشاهده پروفایل

استادیار

• Diplomacy
• Public Opinion
• International Relations
• +۳ مورد دیگر

Kelly Matush is an Assistant Professor in the Department of Political Science at Florida State University (FSU), housed within the College of Social Sciences and Public Policy. She holds a Ph.D. in Political Science from the University of California, San Diego (2018), and completed a Postdoctoral Research Fellowship at Dartmouth College’s John Sloan Dickey Center for International Understanding. Education: Ph.D., Political Science, University of California, San Diego (2018) Postdoctoral Fellowship, Dartmouth College (John Sloan Dickey Center) Research Interests: Her work focuses on diplomacy, public opinion, and international relations. Key areas include the efficacy of public diplomacy in shaping foreign and domestic opinion, strategies leaders employ to antagonize or engage foreign actors, and the dynamics of state fragility and militarized interventions. She also explores authoritarian regimes and democratic decline. Publications Trends: Her research bridges international relations theory with empirical analysis, examining topics like the impact of high-level diplomatic visits, backlash strategies in foreign policy, and the survival of fragile states. Recent work emphasizes democratic backsliding’s global effects and the interplay between leadership communication and international audiences. Grants and Advising: Specific grants or advising roles are not detailed in the provided texts.

Anh-Thu Leمشاهده پروفایل

استادیار

• Attosecond Physics
• Strong-Field Physics
• Laser-Matter Interaction
• +۳ مورد دیگر

Anh-Thu Le is an Assistant Professor in the Department of Physics at the University of Connecticut, within the College of Liberal Arts and Sciences. Her research focuses on Attosecond and Strong-Field Physics, particularly tunneling ionization, high-harmonic generation, and laser-induced electron diffraction. She holds a Ph.D. and B.Sc. in Physics from Belarusian State University (1994). Prior to UConn, she held professorial roles at Missouri University of Science and Technology (2018–2021) and Kansas State University (2001–2018). She is a member of the American Physical Society and American Chemical Society. Education: Ph.D., Physics, Belarusian State University, 1994 B.Sc., Physics, Belarusian State University, 1994 Research Interests: Ultrafast electron dynamics in molecules Laser-atom/molecule interactions Attosecond spectroscopy and imaging Quantum control of high-harmonic generation Molecular structure determination via electron diffraction Recent Trends in Articles: Recent work emphasizes attosecond-scale imaging of molecular structures, coherent electron dynamics, and control of quantum pathways in laser fields. Key themes include symmetry analysis in photoelectron spectroscopy and ultrafast molecular vibration studies. Awards: None explicitly listed. Advising & Grants: Advises students like Phi-Hung Tran. Research supported by grants focusing on ultrafast physics and strong-field phenomena. Labs/Teams: Leads the Ultrafast AMO Theory Group , conducting theoretical research on intense laser-molecule interactions and attosecond physics. Collaborates on imaging techniques like laser-induced electron diffraction.

• Planet Formation
• Extrasolar Planets
• Accretion Disk Physics
• +۳ مورد دیگر

James Owen is a Reader in Astrophysics at the Department of Physics within the Faculty of Natural Sciences at Imperial College London. He holds a Senior Royal Society University Research Fellowship and previously served as a Hubble Fellow at the Institute for Advanced Study in Princeton and a CITA Fellow in Toronto. His research focuses on planet formation, extrasolar planets, and accretion disc physics, with particular emphasis on atmospheric escape mechanisms and protoplanetary disc structures. He is affiliated with the Astrophysics Group and the Physics Permanent Researchers at Imperial College. His key research interests include understanding how close-in super-Earths and mini-Neptunes form and evolve under intense stellar irradiation, driving atmospheric evaporation. He also investigates structures in protoplanetary discs observed via high-resolution imaging, linking these to planet formation processes. His work combines analytic theory and simulations to study hydrodynamic instabilities and disc dynamics. Notable awards include the Hubble Fellowship and CITA Fellowship. His recent work highlights the role of disc photoevaporation on giant planet migration and the observational signatures of embedded planets. He actively contributes to missions like JWST and UV-SCOPE for exoplanet characterization. Key affiliations: Astrophysics Group, Physics Permanent Researchers, Physics of Universe Labs: Blackett Laboratory at South Kensington Campus Future research directions include analyzing the growing dataset of protoplanetary discs and advancing models of exoplanet atmospheric evolution through neural network emulations.