جست‌وجوی استاد و پژوهشگر

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.

Ayush Bhandariمشاهده پروفایل

مدرس ارشد

• Computational Sensing
• Signal Processing
• Inverse Problems
• +۷ مورد دیگر

Ayush Bhandari is a Senior Lecturer (Associate Professor level in the UK system) in the Department of Electrical and Electronic Engineering at Imperial College London, part of the Faculty of Engineering. He holds a PhD from MIT (2018) and has held research positions at leading institutions including INRIA, Nanyang Technological University, and EPFL. He is a UKRI Future Leaders Fellow (2020–present) and received the prestigious ERC Starting Grant (2024–2029) for his work on computational sensing. His research focuses on computational sensing, inverse problems, and signal processing with applications in scientific imaging and novel sensors. Key contributions include the Unlimited Sensing Framework, which enables high-dynamic-range imaging and signal acquisition beyond conventional ADC limitations. This work has led to over 10 US patents, including foundational technologies for modulo sampling and HDR reconstruction. Bhandari has been recognized with multiple awards, including the IEEE Best PhD Dissertation Award (2020), the President's Medal for Outstanding Early Career Researcher at Imperial (2021), and the Frontiers of Science Award (2023). He has delivered keynote speeches at major conferences such as IEEE CVPR, SPIE Photonics West, and the International Congress of Basic Science. His grants include the ERC Starting Grant (€1.5M) and UKRI Future Leaders Fellowship (£1.2M). He collaborates internationally, leading projects in computational radar, MIMO systems, and tomography. His work bridges hardware design and mathematical algorithms, emphasizing co-design principles to achieve breakthrough sensing capabilities.

Ellis Patrickمشاهده پروفایل

دانشیار

• Bioinformatics
• Biomedical Data Science
• Statistical Bioinformatics
• +۶ مورد دیگر

Associate Professor Ellis Patrick is an applied statistician and bioinformatician affiliated with the University of Sydney's School of Mathematics and Statistics, the Westmead Institute for Medical Research, and the Sydney Precision Data Science Centre. His research focuses on developing bioinformatics tools to analyze high-dimensional biomedical data, with applications in disease treatment, precision medicine, and understanding molecular drivers of conditions like Alzheimer’s, MS, and cancer. He holds a PhD from the University of Sydney and postdoctoral experience at Harvard Medical School and The Broad Institute. Education: PhD in statistical bioinformatics from the University of Sydney. Postdoctoral training included joint appointments at Brigham and Women’s Hospital, Harvard Medical School, and The Broad Institute of MIT and Harvard. Research Interests: Specializes in statistical bioinformatics, spatial omics, and high-dimensional data analysis, with emphasis on translational research in infectious diseases, organ transplantation, cardiovascular disorders, neurodegeneration, and oncology. His work combines computational methods with clinical data to uncover disease mechanisms and improve therapeutic strategies. Grants & Collaborations: Recent grants include PrecisionGO (MRFF-funded), White matter lesion transcriptomics (National MS Society), and studies on coronary artery disease and graft failure prediction. Collaborates widely with medical researchers, leveraging interdisciplinary teams to tackle complex health challenges. Labs & Teams: Leads the Bioinformatics Cluster at the Sydney Precision Data Science Centre, integrating computational and experimental approaches to advance precision health initiatives.

Wenbin Liمشاهده پروفایل

مدرس ارشد

• Robotics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Dr. Wenbin Li is a Senior Lecturer (Associate Professor) in Robotics at the University of Bath's Department of Computer Science. He leads the Pering Laboratory (Perceptual Intelligence Laboratory), affiliated with the AI & Machine Learning and Visual Computing groups. Previously, he held postdoctoral positions at Imperial College London (2016-2018) and UCL (2014-2016), and earned his PhD from the University of Bath in 2013, with earlier degrees from Imperial College London (MSc, 2009) and Xidian University (B.Eng, 2008). His research focuses on unified autonomous systems, including multi-sensory localization/mapping, dynamic motion capture, and uncontrolled scene understanding with applications in manufacturing and professional capture. Key areas include Robotics, Computer Vision, Graphics, and Machine Learning. He actively supervises doctoral students in these fields and has funded PhD openings. Dr. Li has been involved in major initiatives such as the My World - Strength in Places Fund (2021–2027), SLAM with Reinforcement Learning (2022–2023), and the CAMERA MC2 Award (2019–2023). His work aligns with UN Sustainable Development Goals, particularly in advancing technology for societal benefit. Recent publications emphasize aerial robotics, autonomous systems, and computer vision applications, including UAV package delivery reviews, Bayesian optimization for balloon station-keeping, and generative models for intrinsic image decomposition.

Carlos José Díaz Basoمشاهده پروفایل

پژوهشگر ارشد

• Solar Physics
• Bayesian Statistics
• Deep Learning
• +۳ مورد دیگر

Carlos José Díaz Baso is a Research Fellow at the Rosseland Centre for Solar Physics (RoCS), part of the Institute of Theoretical Astrophysics at the University of Oslo. His research focuses on solar chromospheric phenomena, Bayesian statistics, and deep learning applications in solar physics. Education: Ph.D. in Astrophysics (2014-2018, Universidad de La Laguna, Spain), followed by postdoctoral positions at Stockholm's Institute for Solar Physics (2018–2022) and currently at RoCS (2022–present). Research emphasizes analyzing solar spectra and magnetic field dynamics using advanced statistical and machine learning techniques. Key projects include the ISSRESS initiative studying small-scale solar reconnection events. Recent publications explore spectral resolution impacts, coronal oscillations, and sunspot light bridges. Active in international collaborations using instruments like SST/CRISP and SolO/EUI. Engaged in developing observational strategies for solar telescopes and improving data analysis methodologies.

• Astronomical sciences
• Particle and high energy physics
• Space sciences
• +۳ مورد دیگر

Professor Virginia Kilborn is Swinburne University of Technology's inaugural Chief Scientist, leading initiatives in education, research policy, and equity. She is a radio astronomer at the Centre for Astrophysics and Supercomputing, specializing in galaxy evolution via neutral hydrogen studies using ASKAP and SKA telescopes. Her academic leadership roles include Deputy Director (2011–2013), Acting Director (2013), Chair of Physics & Astronomy (2015–2018), and Dean of Science (2019–2021). Education: BSc (Hons) and PhD (Astrophysics) from the University of Melbourne. Postdoctoral work included a UK stint at Jodrell Bank and an ARC-CSIRO fellowship at Swinburne (2003). Research focuses on environmental impacts on galaxies, HI gas dynamics, and cutting-edge survey techniques. She pioneered Swinburne's online astronomy education and space programs, emphasizing STEM outreach with schools and public engagement. Notable awards include the 2015 Vice-Chancellor's Award for Culture and Values and 2012 OLT Citation for student learning excellence. Active in Australian astronomy through roles like ASA President (2015–2017) and CSIRO telescope committee leadership. Current grants include Quantum Australia (2024–2027) and AquaWatch collaborations. Supervised eight PhD students exploring HI gas evolution, galaxy dynamics, and visualization tech for radio astronomy data.