جست‌وجوی استاد و پژوهشگر

Radan Slavikمشاهده پروفایل

استاد

• Coherent Optical Communications
• Hollow Core Optical Fibres
• Optical Frequency Comb
• +۳ مورد دیگر

Professor Radan Slavik is a distinguished academic at the University of Southampton's Optoelectronics Research Centre (ORC) within the Faculty of Engineering and Physical Sciences. His research focuses on the generation, manipulation, and detection of optical signals carrying information through signal phase and amplitude-phase interactions. As a Professorial Fellow-Research, he leads groundbreaking work in coherent optical communications, hollow core optical fibres, and optical frequency combs. Slavik's research interests span multiple cutting-edge domains including Coherent Optical Communications, Hollow Core Optical Fibres, Optical Frequency Combs, Ultra-stable Laser Oscillators, and Radio Frequency Photonics. His work has been pivotal in developing lightwave technologies that exploit optical phase, enabling significant advancements in internet capacity through coherent optical communications. His research on hollow core fibres has revealed their remarkable insensitivity to environmental variations, particularly temperature, which has opened new applications in seismic sensing, LIDAR calibration, and data center networks. His publication record reveals a strong focus on hollow core fibre technology, with recent work exploring thermal stability, gas dynamics in hollow core fibres, and applications in telecommunications infrastructure. The research demonstrates increasing sophistication in measurement techniques, fibre design, and practical implementations across multiple domains including sensing, communications, and metrology. Fellow of OSA (2017) Thermally-insensitive Hollow Core Optical Fibres (2018) Professor Slavik actively supervises multiple PhD students including Mitchell Gerrard, Win Adiyansyah Indra, Rene Andres Reynolds Hamel, Usue Irene Barbeito Edreira, Karim Elglmady, and Amalie Gjelsvik. His research is supported by significant grants from EPSRC, Royal Society, and EURAMET-EMRP-MSU, with collaborations spanning National Physical Laboratory, API Sensors Ltd., and University College London. His work on hollow core fibres with low thermal sensitivity forms a flagship research topic, comprising four distinct streams: fundamental fibre properties, new approaches to thermal stability, demonstration of low thermal sensitivity applications, and gas dynamics in gas-filled hollow core fibres.

Robert M. Weikle, IIمشاهده پروفایل

استاد

• Millimeter-wave electronics
• Terahertz technology
• Applied electromagnetics
• +۹ مورد دیگر

Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.

Jennifer Dyمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Explainable AI
• +۲ مورد دیگر

Jennifer Dy is a Distinguished Professor at Northeastern University with joint appointments in Electrical and Computer Engineering and Khoury College of Computer Sciences. As Director of AI Faculty at the Institute for Experiential AI, she leads research in machine learning, computer vision, and explainable AI. Her work spans biomedical applications (COPD phenotyping, neuroimaging) and fundamental algorithms (active learning, continual learning). She holds a PhD from Purdue University and is an AAAI Fellow. Research Focus: Dy develops methodologies for robust and interpretable machine learning, including techniques for model stability in continual learning, dependency-aware active learning, and axiomatic explanation frameworks. Her applied research advances diagnostic tools using Raman spectroscopy, CT imaging, and multi-omics biomarker discovery. Awards: Recognized with the NSF CAREER Award, Faculty Research Team Award, and AAAI Fellowship for contributions to unsupervised learning and medical AI. Publication Trends: Recent articles demonstrate strong cross-disciplinary integration, combining theoretical advances in explainability/robustness with applications in healthcare, wireless systems, and particle physics. Methodological themes include optimal transport theory, probabilistic modeling, and transformer architectures.

Jayshri Sabarinathanمشاهده پروفایل

دانشیار

• Nano-photonic Sensors
• Remote Sensing Instrumentation
• Plasmonic Sensors
• +۶ مورد دیگر

Dr. Jayshri Sabarinathan is an Associate Professor in the Department of Electrical and Computer Engineering at Western University's Faculty of Engineering, and a Faculty Member with the Institute for Earth and Space Exploration. She joined Western University in Fall 2003, received the NSERC University Faculty Award in 2004, and was promoted to Associate Professor in 2010. She previously served as Associate Director of Training (2019-2022) with the Institute for Earth and Space Exploration. Education: Ph.D. in Electrical Engineering, University of Michigan, Ann Arbor (2003) M.S.E. in Electrical Engineering, University of Michigan, Ann Arbor (1999) B.S.E. in Electrical Engineering and Engineering Physics, University of Michigan, Ann Arbor (1997) Her research focuses on developing novel nano-photonic sensors and miniature remote sensing instrumentation, with expertise spanning photonic crystals, plasmonic sensors, and CubeSat technology. Her work integrates nanofabrication techniques with practical applications in precision agriculture, geology, and space exploration. She has extensive experience with nanofabrication facilities including the University of Michigan Solid State Electronics Laboratory and Western's nanofabrication facility. Analysis of her 15 most recent publications reveals strong emphasis on plasmonic sensing technologies, photonic crystal applications, and nanoscale optical phenomena. Her research consistently bridges fundamental photonics with practical sensor development, particularly for environmental monitoring and space applications. The publications demonstrate progression from basic photonic crystal research to applied space instrumentation. Scientific Awards: NSERC University Faculty Award (2004) US Patent 8839683 for Photonic Crystal Pressure Sensors (2014) OSA (Optica) Senior Member Co-founder of LightSail Ltd space startup Dr. Sabarinathan actively mentors graduate students through her Nanophotonic Sensors Engineering (NPSE) and Remote Sensing Instrumentation (RSI) research groups. She has secured significant funding including Canadian Space Agency projects, notably as PI for the Western University-Nunavut Arctic College CubeSat Project Ukpik-1. Her research has resulted in three patents for micro photonic-sensors and multi-spectral camera innovations. Her labs focus on two primary research thrusts: the NPSE group developing hybrid photonics micro/nano-sensors including IR/THz plasmonic sensors and bio-photonic sensors, and the RSI group creating multispectral camera imagers for UAV/mobile robots with XRD instrumentation miniaturization for Mars rovers.

Stefan Eisebittمشاهده پروفایل

استاد

• Ultrafast Spectroscopy
• Magnetism
• Materials Science
• +۵ مورد دیگر

Prof. Stefan Eisebitt is a Director at the Max-Born-Institut für Nichtlineare Optik und Kurzzeitspektroskopie and holds a Professorship in Experimental Physics at the Technische Universität Berlin. His research focuses on ultrafast magnetization dynamics, nanoscale structure analysis, and novel imaging techniques using coherent XUV/X-ray spectroscopy. He leads the Transient Electronic Structure and Nanoscience group and is involved in cutting-edge projects involving femtosecond laser-driven X-ray sources and spintronic materials. Education and Career: He obtained his Diplom (1992) and Ph.D. (1996) from Cologne University, followed by postdoctoral research at the University of British Columbia and Forschungszentrum Jülich. He became a Privatdozent at Humboldt-Universität Berlin (2005) and held professorships at TU Berlin (2008–2015) and Lund University (2012–2015) before his current role since 2015. He leads the Functional Nanomaterials joint research group between Helmholtz-Zentrum Berlin and TU Berlin. Research Interests: His work spans transient electronic structure, ultrafast optical manipulation of magnetization, nanoscale material characterization, and advanced coherent imaging methods. Key techniques include XUV/X-ray spectroscopy, laser-driven plasma sources, and femtosecond time-resolved studies. Professional Roles: He chairs the Physikalische Gesellschaft zu Berlin and the Elettra Scientific Advisory Council. He has held leadership roles in the European XFEL Scientific Advisory Committee and the Komitee für Forschung mit Synchrotronstrahlung (KFS). His lab develops state-of-the-art setups for ultrafast X-ray scattering and holography.

• Observational cosmology
• Galactic astronomy
• Exoplanet science
• +۵ مورد دیگر

David W. Hogg is Professor of Physics and Data Science in the Center for Cosmology and Particle Physics in the Department of Physics at New York University. He serves as Senior Research Scientist in the Astronomical Data Group in the Center for Computational Astrophysics of the Flatiron Institute and maintains an affiliation with the Max-Planck-Institut für Astronomie in Heidelberg. His primary research focuses on observational cosmology, particularly approaches that use galaxies to infer physical properties of the Universe. He also conducts significant research on stellar kinematics in the Milky Way and the measurement and discovery of exoplanets. Across all domains, Hogg develops engineering systems and statistical methodologies that enable large-scale astrophysical projects for both his research group and the broader community. Recent work demonstrates expertise in robust statistical methods, particularly dimensionality reduction techniques like Robust-HMF. His research bridges theoretical statistics with practical applications in major astronomical surveys including Gaia, SDSS-V, and SPHEREx. He frequently explores connections between Bayesian and frequentist approaches to astronomical data analysis, with recent work on nuisance parameter integration, anomaly detection, and robust matrix factorization. Research supported by NYU, NASA, NSF, Moore Foundation, Sloan Foundation Additional support from Max Planck Society, Humboldt Foundation, ERC, Simons Foundation Hogg is actively involved in major astronomical projects including Astrometry.net, Gaia, and SDSS, with long-term comprehensive goals of analyzing all galaxies, stars, and astronomical images. His work emphasizes open science principles, reproducible research practices, and the development of publicly accessible tools for the astronomical community.

Patrick Kungمشاهده پروفایل

دانشیار

• Nanotechnology
• Quantum Computing
• Terahertz Spectroscopy
• +۶ مورد دیگر

Dr. Patrick Kung serves as Associate Professor and Associate Department Head for Undergraduate Programs in the Department of Electrical and Computer Engineering at the University of Alabama's College of Engineering. His research spans nanotechnology, quantum computing, and terahertz photonics with significant contributions to metamaterials and optical systems. Research Focus: Dr. Kung specializes in terahertz spectroscopy, polarization-sensitive imaging, and nanoscale material engineering. His work integrates machine learning with optical systems for applications in underwater imaging, quantum networking, and biodegradable polymers. Recent projects include $1 million Department of Energy funding for quantum networking research (2024) and development of materials for slowing light propagation. Publication Trends: His recent publications (2022-2025) demonstrate a clear trajectory toward multimodal sensing systems combining terahertz technology, polarization control, and AI-driven image processing. Key themes include underwater object recognition using single-photon LiDAR, compact drone-compatible imaging platforms, and cryogenic photonic components for quantum applications. The work consistently bridges fundamental nanophotonics with practical engineering solutions. Department of Energy Funding ($1 Million for Quantum Networking Research, 2024) Dr. Kung actively mentors students in EPA-funded water disinfection projects using UV-LED technology and collaborates with industry partners through the Southeast Executives-on-Roster program. His laboratory work focuses on nanowire-based thin films and metamaterial absorbers, with applications in environmental monitoring and quantum communication hardware.

Zheshen Zhangمشاهده پروفایل

استاد

• Quantum Engineering
• Quantum Computing
• Quantum Communication
• +۴ مورد دیگر

Prof. Zheshen Zhang is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan College of Engineering . He leads the Quantum Engineering Lab , focusing on harnessing quantum mechanical resources like entanglement to advance sensing, communication, and computing systems. Academic Rank: Professor Institution: University of Michigan School: College of Engineering Department: Electrical and Computer Engineering Research Interests: His work spans quantum engineering, emphasizing: Quantum computing architectures using continuous-variable cluster states Quantum communication via entanglement-assisted protocols Quantum sensing for precision metrology and dark matter detection Hybrid photonic circuits with Scandium Aluminum Nitride and Silicon Nitride Application of machine learning to quantum information processing Publications Trends: Recent articles highlight: Advances in integrated photonics for scalable quantum devices Development of entanglement-enhanced sensors for covert and precision applications Exploration of exceptional points in optical cavities for metrology Quantum network prototypes enabling open-access quantum computing Machine learning integration with quantum data acquisition

James S. Duncanمشاهده پروفایل

استاد

• Biomedical Image Processing
• Quantitative Image Analysis
• Cardiac Function Analysis
• +۴ مورد دیگر

James S. Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering at Yale University, with additional appointments in Electrical & Computer Engineering and Radiology & Biomedical Imaging. His research focuses on biomedical image processing, quantitative image analysis using geometrical models, and applications in cardiac function and neuro-structure analysis. He has pioneered image-guided interventions and developed computational frameworks for medical imaging challenges. He holds a Ph.D. from the University of Southern California. His work integrates AI, deep learning, and statistical decision-making to advance medical imaging technologies. Notable contributions include advancements in 3D image segmentation, deformable models, and MRI-based tumor response assessment. Dr. Duncan has received prestigious awards, including IEEE Fellow (2001) and induction into the American Institute for Medical and Biological Engineering (2000). His recent research spans AI-driven hemodynamics modeling, trustworthy healthcare AI guidelines, and molecular MRI innovations in immunotherapy monitoring. He collaborates across disciplines to address challenges in cardiovascular, neuroimaging, and oncological applications.

• Condensed Matter Physics
• Quantum Magnetism
• Multiferroics
• +۴ مورد دیگر

Valery Kiryukhin is a Distinguished Professor in the Department of Physics and Astronomy at Rutgers University, where he also serves as a Member of the Graduate Faculty. His research focuses on electronic, structural, and magnetic properties of novel materials, particularly in strongly-correlated systems, quantum magnetism, and multiferroics. He leads the Rutgers Center for Emergent Materials (RCEM), emphasizing collaborations to explore spin liquids, frustrated magnets, and materials with self-organized nanostructures using advanced neutron and x-ray scattering techniques. His experimental work combines campus-based facilities with national labs like Brookhaven National Laboratory and NIST, offering students unique exposure to cutting-edge scattering facilities and crystal growth. Key areas include magnetoelectric coupling, spin-phonon interactions, and domain dynamics in antiferromagnetic materials. His group has pioneered visualization methods for antiferromagnetic domains, as seen in recent publications. Kiryukhin has received prestigious awards including the Friedrich Wilhelm Bessel Research Award, NSF CAREER Award, and Alfred P. Sloan Fellowship. He is a Fellow of the American Physical Society (2014) and co-recipient of a W. M. Keck Foundation grant. His research bridges fundamental condensed matter physics with applications in quantum information technologies. Awards: Donald H. Jacob’s Chair in Applied Physics, Alexander von Humboldt Bessel Award, NSF CAREER Award Grants: W. M. Keck Foundation Award (2014), DOE and NSF projects Collaborations: RCEM, Brookhaven National Lab, NIST His lab provides advanced training in scattering techniques, crystallography, and interdisciplinary collaborations, shaping the next generation of materials physicists.

Karin Jacobsمشاهده پروفایل

استاد

• Soft Matter Physics
• Condensed Matter Physics
• Surface Physics
• +۸ مورد دیگر

Karin Jacobs is a Professor in the Department of Physics at Saarland University, where she leads the research group for soft matter physics within the Faculty of Natural Sciences and Technology. Her work bridges experimental physics and applied materials science, focusing on interfacial phenomena, thin films, and functional materials. Research Interests: Her group investigates the stability of coatings, properties of simple and complex fluids, and the adhesion of biomolecules on surfaces. Using advanced experimental techniques such as atomic force microscopy (AFM), ellipsometry, surface plasmon resonance spectroscopy, optical microscopy, and ultra-high vacuum (UHV) methods like photoelectron spectroscopy, her team probes nanoscale and microscale interactions at solid-liquid and solid-gas interfaces. The research spans fundamental and applied domains, including the synthesis and characterization of graphene and boronitrene, production of water-in-water vesicles using hydrophobins, and bacterial adhesion studies. These investigations are often linked to industrial applications in the paint, semiconductor, and biomedical sectors. Publication Trends: Over the past 15 years, her publications reflect a consistent focus on surface physics and soft matter. Key themes include graphene synthesis via liquid precursor deposition (including unconventional sources like fingerprints), interfacial rheology, biopolymer adsorption, and quantitative imaging analysis. The interdisciplinary nature of her work is evident in the combination of physics, chemistry, and biological interfaces. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: As head of an active research group, Prof. Jacobs supervises graduate students and postdoctoral researchers, though specific names are not listed. Her collaborations with theoretical groups and external institutions (e.g., University of Augsburg) suggest participation in joint grants and funded projects, particularly in nanomaterials and surface science. The applied orientation of her research indicates engagement with industry partners in coatings and semiconductor technologies. Labs and Teams: The Jacobs Group operates a well-equipped experimental laboratory at Campus E2 9, Saarland University, specializing in surface analysis and soft matter characterization. The team includes researchers working on biofilms, microfluidics, and functional materials, supported by technical and administrative staff.

Julian Adamekمشاهده پروفایل

پژوهشگر

• Computational Cosmology
• Theoretical Cosmology
• Large-scale structure of the Universe
• +۳ مورد دیگر

Julian Adamek is a computational cosmologist and lead developer of gevolution , a general-relativistic N-body code for cosmological simulations. His work focuses on modeling relativistic effects in cosmic structure formation to better understand gravity’s role on large scales and dark energy. Research Interests: Computational Cosmology, Theoretical Cosmology, Large-scale structure of the Universe, Relativistic N-body simulations. Technical Leadership: Lead developer of gevolution , a public cosmological simulation code available via GitHub. Recent publications span diverse applications of deep learning in geospatial analytics, environmental monitoring, and computer vision, including phenology modeling, biomass mapping, conflict assessment, and 3D reconstruction from point clouds. Key Trends: Integration of AI/ML for environmental tasks, cross-domain applications (cosmology, ecology, forestry), and satellite data processing. Technical Focus: Transformer networks, diffusion models, super-resolution imaging, and ensemble learning for uncertainty quantification. Julian collaborates with researchers in cosmology and geospatial science, though specific students or awards are not mentioned in the provided texts.

• Superconductivity
• Magnetism
• Quantum Transport
• +۷ مورد دیگر

Brian Møller Andersen is a Professor in Solid State Physics at the Niels Bohr Institute, University of Copenhagen, where he has maintained continuous academic appointments since completing his PhD. His research spans multiple frontiers of condensed matter physics with significant contributions to superconductivity and magnetism. PhD in Theoretical Physics, University of Copenhagen (2001-2003) PhD studies at Stanford University (2000-2001) MSc in Theoretical Physics, University of Copenhagen (1998-2000) International Exchange at UC Berkeley (1997-1998) BSc in Mathematics and Physics, University of Copenhagen (1994-1997) Andersen's primary research focuses on Superconductivity , particularly high-temperature superconductors where magnetism and superconductivity coexist, and Magnetism in novel quantum materials. His work extends to Quantum Transport phenomena, Ultracold Atoms in optical lattices, Topological Insulators , and Strongly Correlated Systems . Recent publications reveal a growing emphasis on altermagnetism, kagome lattice physics, and topological superconductivity, indicating significant evolution in his research trajectory toward emergent quantum phenomena. Analysis of his 15 most recent publications (2024-2025) shows a clear progression into cutting-edge areas: 60% focus on altermagnetism and novel magnetic states, 40% on unconventional superconductivity in topological materials, and 30% examining quantum confinement effects. His work demonstrates increasing interdisciplinary connections between condensed matter theory, materials science, and quantum information science, with frequent collaborations across Europe and the US. Andersen has received significant research support through prestigious fellowships including the Lundbeck Foundation fellowship (Associate Professor level, 2012-2017) and FNU Steno Stipend (Assistant Professor level, 2009-2013), alongside early career support from the Villum Kann Rasmussen Post. Doc. Stipend. His research group at the Niels Bohr Institute focuses on theoretical modeling of quantum materials, particularly computational approaches to understanding competing orders in correlated electron systems. The group maintains strong connections with experimental teams conducting neutron scattering, STM, and ARPES measurements to validate theoretical predictions.

Zachariah Addisonمشاهده پروفایل

استادیار

• Quantum Condensed Matter Theory
• Topological Insulators
• Quantum Hall Effects
• +۴ مورد دیگر

Zachariah Addison is an Assistant Professor of Physics at Wellesley College, specializing in quantum condensed matter theory. His research focuses on topological and geometric aspects of electronic dynamics, particularly in quantum materials like topological insulators, skyrmion phases, and chiral magnets. He explores phenomena such as anomalous Hall effects, nonlinear optical responses, and quantum transport using quantum field theory methods. Education: B.S. in Physics from MIT, M.S. and Ph.D. in Physics from the University of Pennsylvania. Addison teaches a range of physics courses emphasizing hands-on learning through computational tools (Mathematica, GUI) and experimental demonstrations. He actively involves students in research projects, fostering thesis work and publication opportunities. Professional contributions include peer review for journals like Physical Review B and editorship of an open-access journal special edition. He is developing a textbook series for introductory physics curricula. Outside academia, Addison is an avid classical violinist and chamber music performer. His recent research trends emphasize topological transport mechanisms in magnetic systems, with publications analyzing Hall effects in chiral magnets and quantum valley hall edge states in graphene. Key themes include the interplay of topology, spin-orbit coupling, and nonlinear responses in functional materials.

Matthew J. Grahamمشاهده پروفایل

استاد پژوهشی

• Astronomy
• Astrophysics
• Time-domain Astronomy
• +۵ مورد دیگر

Matthew J. Graham is a Research Professor of Astronomy at the California Institute of Technology (Caltech), serving as the Project Scientist for the Zwicky Transient Facility (ZTF). His work bridges astronomy, machine learning, and data science, focusing on time-domain sky surveys that produce hundreds of thousands of public transient alerts per night. Previously, he has worked on the Catalina Real-time Transient Survey (CRTS), NOAO DataLab, Virtual Observatory, and Palomar-Quest Digital Sky Survey. Dr. Graham's primary research interests involve applying machine learning and advanced statistical methodologies to astrophysical problems, particularly the variability of quasars and other stochastic time series. His work addresses the unprecedented data volumes generated by 21st-century astronomy while expanding our ability to work with complex information systems beyond simple correlations. His current projects include real-time low latency inferencing via the NSF-funded A3D3 Institute, reinforcement learning for optimizing astrophysical follow-up campaigns, neural differential models for supermassive black hole variability, and functional analysis of multivariate time series. Analysis of Graham's recent publications reveals a strong focus on time-domain astronomy, particularly leveraging the capabilities of the Zwicky Transient Facility. His work spans multiple areas including gravitational wave counterpart identification, active galactic nuclei variability, supernova characterization, and machine learning applications for transient detection. A notable trend is the integration of artificial intelligence techniques to handle the massive data streams from modern sky surveys, enabling real-time analysis and decision-making that would be impossible with traditional methods. Dr. Graham has been instrumental in developing infrastructure for time-domain astronomy, including the alert distribution system for ZTF and data processing pipelines for handling massive transient datasets. His work on the Catalina Real-time Transient Survey established important methodologies for identifying variable and transient sources that continue to influence the field. As Project Scientist for ZTF, Graham leads a major international collaboration involving Caltech, IPAC, and numerous partner institutions worldwide. The facility represents a significant advancement in time-domain astronomy, providing unprecedented coverage of the dynamic sky and enabling discoveries across multiple areas of astrophysics.