جست‌وجوی استاد و پژوهشگر

• Astronomy
• Satellite Tracking
• Data Acquisition and Processing
• +۱۰ مورد دیگر

Patrick Yates-Jones is a Research Fellow in Physics (Astronomy) at the School of Natural Sciences, University of Tasmania, where he has been employed since 2021, first as a Research Associate (2021-2024) and currently as a Research Fellow (2025-present). His work focuses on astronomy, satellite tracking, and data acquisition and processing within the Physics department at the Sandy Bay Campus. Dr. Yates-Jones holds a PhD in Physics and Astronomy (2017-2021), a Bachelor of Science with Honours in Astrophysics (2016), and a Bachelor of Science in Mathematics and Physics (2013-2015), all from the University of Tasmania. He also completed a Diploma of Modern Languages in French from the University of New England (2012-2015). His primary research interests span multiple areas of astronomy and astrophysics: Cosmology and extragalactic astronomy - studying the large-scale structure of the universe and distant galaxies High energy astrophysics and galactic cosmic rays - investigating energetic phenomena in our galaxy and beyond Astronomical instrumentation - developing new techniques for radio telescopes Astrodynamics and space situational awareness - tracking satellites and space debris His research particularly focuses on numerical modelling of plasma jets launched from Active Galactic Nuclei at the centers of distant galaxies and developing innovative radio astronomy instrumentation techniques for Australia's nationwide network of radio telescopes. Analysis of Dr. Yates-Jones' publication record reveals a strong focus on radio astronomy and AGN jet simulations . His work consistently explores the dynamics and observable signatures of radio jets in various environments, with increasing sophistication in modeling techniques over time. The research spans theoretical simulations, observational analysis, and instrumentation development, showing an integrated approach to understanding active galactic nuclei and their impact on galaxy evolution. Recent work has expanded into space situational awareness and satellite tracking applications. Dr. Yates-Jones has secured significant research funding, including: Co-I on an ALCG computing grant titled 'Towards More Realistic Modeling Of Supermassive Black Hole Jets In Galaxy Formation' for 45 MSU of computing time on the NCI Gadi supercomputer Participation in the Long Baseline Array (LBA) Observation project with CSIRO Astronomy and Space Science ($300,000) Space Seed Funding for 'next generation of space craft tracking software' from the Department of State Growth (Tas) ($44,330) As an educator, Dr. Yates-Jones has lecturing experience in Computational Physics (KYA320) and Games Physics (KIT212) at the University of Tasmania. He has supervised multiple doctoral students with current projects including 'Hybrid tracking of space junk,' 'Simulations of black hole jets,' and 'Radio Rainbows: Modelling the birth and rebirth of black hole jets.' His completed doctoral supervision includes Larissa Adele Jerrim's work on 'Magnetic Fields and Polarisation Properties of Radio Galaxies in Numerical Simulations.' He also has experience running labs, tutorials, and marking undergraduate Maths and Physics units.

Jarron Leisenringمشاهده پروفایل

استاد پژوهشی

• Astronomical Instrumentation
• Exoplanet Discovery
• Infrared Astronomy
• +۳ مورد دیگر

Jarron Leisenring is an Associate Research Professor at Steward Observatory, University of Arizona, and serves as Director of the Imaging Technology Laboratory (ITL). He specializes in astronomical instrumentation, particularly focusing on infrared detector technology and exoplanet discovery systems. Research Interests: Advancing Backside-Illuminated (BSI) CCD and IR detector technology Development of semiconductor processing techniques for reduced dark current Design of focal plane packaging and mosaics Custom software/hardware for sensor characterization Exoplanet and disk imaging methodologies Silicon etching and thin-film coating innovations Labs & Collaborations: Founding member of the Arizona IR Detector (AIRD) Lab Leadership in ITL's semiconductor and photonic device development Key contributor to NASA's James Webb Space Telescope (JWST) NIRCam instrument

Eric Pearceمشاهده پروفایل

استاد

• Astronomical Instrumentation
• Satellite Tracking
• Space Surveillance Systems
• +۲ مورد دیگر

Eric Pearce is a Professor at Steward Observatory, University of Arizona, specializing in advanced astronomical systems for satellite surveillance. His research bridges instrumentation development and space situational awareness, with a focus on optimizing telescope technology for Earth-orbit monitoring. Research Focus: Design and deployment of robotic telescope systems for space object detection Algorithm development for satellite tracking and characterization Mersenne-Schmidt optical configurations for wide-field synoptic surveys High-sensitivity instrumentation for geosynchronous orbit monitoring Previously, he led the DARPA Space Surveillance Telescope (SST) project at MIT Lincoln Laboratory, creating the world's first large-aperture Mersenne-Schmidt telescope. His early career included supernova detection systems at New Mexico Tech and telescope software development at Yerkes Observatory.

Matthew Newbyمشاهده پروفایل

دانشیار

• Astronomy
• Astrophysics
• Galactic Dynamics
• +۳ مورد دیگر

Matthew Newby is an Associate Professor of Instruction in the Department of Physics at Temple University. He focuses on astronomy, astrophysics, and the history of science, with a strong emphasis on integrating computational skills into undergraduate and graduate education. His research explores the dynamics and structure of the Milky Way galaxy, leveraging data from projects like the Sloan Digital Sky Survey (SDSS) and the MilkyWay@home distributed computing initiative. Newby also contributed to Temple’s Data Science program and restructured its computational physics curriculum, while leading graduate-level computing workshops and participating in the High-Performance Computing for Scientific Applications Master’s Program. His research interests span galactic substructures—including tidal tails of dwarf galaxies, stellar halo dynamics, and dark matter distribution—as well as Renaissance-era astronomical studies, such as analyzing 15th-century astronomical paintings. Newby’s work bridges computational methods with observational astrophysics, emphasizing interdisciplinary problem-solving and active learning in education. He has published on topics like Sagittarius Dwarf Galaxy streams, metallicity distribution functions, and Milky Way substructure modeling. Newby’s educational contributions include fostering data literacy, organizing computational workshops, and developing curricula that blend professional development with ethical considerations. His current involvement in Temple’s HPC program underscores his commitment to advancing computational tools for scientific research.

• Astrophysics
• Gamma-Ray Bursts
• Gravitational Lensing
• +۱۲ مورد دیگر

R. J. Nemiroff is a Professor in the Department of Physics at Michigan Technological University, where he conducts research in astrophysics, particularly in gamma-ray bursts, gravitational lensing, cosmology, and sky monitoring. He is widely recognized as the co-creator of the Astronomy Picture of the Day (APOD), a pioneering public outreach project launched in 1995. His academic work spans theoretical, observational, and computational domains, and he has mentored several PhD students whose theses contributed to major projects like the Night Sky Live network. University: Michigan Technological University School: College of Sciences and Arts Department: Department of Physics Academic Rank: Professor His research interests include: - Gamma-ray burst physics (time dilation, pulse structure, hardness-luminosity relation) - Gravitational lensing (solar lens, microlensing, finite source effects) - Cosmology (Friedmann equations, dark energy, ultralight energy) - Sky monitoring and transient detection (CONCAM, Night Sky Live) - Astronomical data systems (ASCL, PHOTZIP compression) The 15 most recent articles reflect a strong focus on time-domain astrophysics, observational strategies, and innovative instrumentation. Trends include the development of all-sky monitoring networks, theoretical models for GRB emission, and methods to improve data accessibility and reproducibility in astronomy. His work bridges theoretical insight with practical implementation, often leading to falsifiable predictions and widely used tools. Scientific contributions: Co-founded APOD, a landmark science communication platform Founded the Astrophysics Source Code Library (ASCL) Organized modern versions of historic astronomical debates Discovered GRB time dilation signal with Jay Norris Proposed the solar gravitational lens as a future telescope Nemiroff has advised multiple PhD students, including Bijunath Patla, Lior Shamir, and Amir Shahmoradi, whose work advanced projects in lensing, data compression, and GRB physics. He secured NSF funding for the CONCAM/NSL project, which deployed fisheye cameras globally for cloud and transient monitoring. Though the project ended due to funding constraints, it pioneered real-time sky monitoring practices now adopted worldwide. He leads or has led several innovative teams: Night Sky Live (NSL) project team for global sky monitoring APOD editorial team with Jerry Bonnell ASCL development and curation group GRB research group at NASA GSFC and MTU

Marta Feijó Barrosoمشاهده پروفایل

دانشیار

• Physics Teaching
• Science Education
• Educational Assessment
• +۳ مورد دیگر

Marta Feijó Barroso is an Associate Professor at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ), where she earned her PhD in Physics. She teaches graduate courses in Physics Learning within the Master's Degree in Physics Teaching program, as well as undergraduate Physics 1 courses and Introduction to Physics A and B for Mathematical and Earth Sciences students. Her research focuses on physics and science teaching methodologies, with particular emphasis on educational assessment frameworks like PISA and ENEM. She has developed computational applications for physics teaching and conducted extensive research on student retention and dropout rates in physics programs. Her work bridges theoretical educational concepts with practical classroom applications. Her publication record from 2003-2009 reveals consistent contributions to physics education research, with particular focus on teacher training, educational technology applications, and assessment methodologies. The research shows a progression from foundational studies on student conceptions of physics concepts toward more comprehensive analyses of educational systems and international comparative studies. As coordinator of the Research and Development Laboratory in Mathematics and Science Teaching, she leads a multidisciplinary team including Tatiana da Silva, Eduardo Gama, Geraldo Felipe, and others. Her laboratory has produced numerous teaching materials, video resources, and computational applications for physics education at various levels. Dr. Barroso has secured funding from multiple sources including MEC/SEB (National Teacher Training Network), FAPERJ (School Support), FINEP (Digital Teaching Materials), and CNPq (Scientific Dissemination) to support her educational research initiatives and extension projects.

Jessi Cisewski-Keheمشاهده پروفایل

دانشیار

• Astrostatistics
• Topological Data Analysis
• Persistent Homology
• +۷ مورد دیگر

Jessi Cisewski-Kehe is an Associate Professor in the Department of Statistics at the University of Wisconsin–Madison, part of the School of Computer, Data & Information Sciences. Her research bridges statistics and astronomy, focusing on methodological development for complex, real-world datasets. Her primary research interests lie in astrostatistics , where she develops statistical tools to detect low-mass exoplanets using radial velocity data, disentangling true planetary signals from stellar activity noise. She also specializes in topological data analysis (TDA) , particularly persistent homology , and employs approximate Bayesian computation (ABC) and visualization techniques for interdisciplinary scientific challenges. Her recent publications reflect a strong trend in applying topological and Bayesian methods to astronomical data, especially in exoplanet discovery and stellar variability modeling. These works sit at the intersection of statistics, astronomy, and computational data science. Her scientific awards include the prestigious NSF CAREER Award and the Nellie McKay Fellowship at UW-Madison. She has been awarded multiple competitive grants from NSF and NASA, highlighting the impact and innovation of her research. Jessi has advised research projects and collaborates extensively across disciplines. Her funding includes multiple NSF grants (CAREER, CDS&E, AST) and NASA awards, supporting work in exoplanet detection, nanoparticle-protein interactions, and energy storage systems. She previously held positions at Carnegie Mellon University and Yale University. She leads research initiatives such as ExoStatistics and applies topological data analysis to challenges in astronomy and physical sciences. Her team develops open-source tools, including software for ABC methods and generalized landscapes in TDA.

• Star formation
• Interstellar medium physics
• MHD simulations
• +۳ مورد دیگر

Kostas Tassis serves as Professor in the Department of Physics at the University of Crete, Greece, having joined in 2012 as Assistant Professor, promoted to Associate Professor in 2018, and to full Professor in 2023. He leads the PASIPHAE project (Polar-Areas Stellar-Imaging in Polarization High-Accuracy Experiment), an ERC Consolidator Grant awarded in 2018, and maintains active affiliations with Skinakas Observatory and the Institute of Theoretical and Computational Physics. His academic background includes: BSc in Physics from the University of Thessaloniki (1999) PhD in Theoretical Astrophysics from the University of Illinois at Urbana Champaign (2005) His research centers on star formation processes, interstellar medium physics, and magnetohydrodynamic simulations, with particular emphasis on cosmic magnetic fields and their role in astrophysical systems. He employs both theoretical modeling and observational polarimetry to investigate phenomena ranging from molecular cloud dynamics to cosmological-scale magnetic field effects. Analysis of his recent publications reveals dominant focus on LiteBIRD mission simulations, interstellar dust polarization, and magnetic field strength estimation techniques. Key thematic clusters include cosmic microwave background polarization analysis, blazar variability studies, and computational approaches to non-ideal magnetohydrodynamics in star-forming regions, demonstrating strong integration of observational data with theoretical modeling. Notable recognitions include: ERC Consolidator Grant for PASIPHAE project (2018) His research program involves extensive international collaboration, particularly through the PASIPHAE survey and LiteBIRD mission consortia. Current work emphasizes polarimetric instrumentation development and large-scale cosmic magnetometry, with significant contributions to understanding magnetic field roles in galaxy evolution and star formation processes. He maintains active involvement with multiple University of Crete research units including the Crete Center for Theoretical Physics (CCTP) and Skinakas Observatory, where observational components of his PASIPHAE work are conducted.

Jason H. Steffenمشاهده پروفایل

دانشیار

• Exoplanet research
• Planetary formation
• Gravitation
• +۶ مورد دیگر

Jason H. Steffen is an Associate Professor of Physics at the University of Nevada, Las Vegas, where he leads a research group focused on exoplanetary science and astrophysics. His work spans multiple domains, including planetary formation and properties, gravitation, particle astrophysics, dark matter, dark energy, and airplane boarding optimization. Research Areas Exoplanet formation and system architecture Planetary interior structure modeling Impact of stellar chemical abundances on planet composition Collisional dynamics in planetary systems Transit timing and radial velocity analysis Airplane boarding process optimization Recent publications highlight his expertise in computational methods through tools like REBOUND and MAGRATHEA for simulating planetary dynamics and interior structures. His work addresses both fundamental astrophysical questions and practical applications in transportation efficiency.

Maxwell Millar-Blanchaerمشاهده پروفایل

استادیار

• Exoplanet Direct Imaging
• Polarimetry
• Brown Dwarfs
• +۴ مورد دیگر

Maxwell Millar-Blanchaer is an Assistant Professor in the Department of Physics at the University of California Santa Barbara. His research focuses on developing and applying advanced techniques for directly imaging exoplanets, brown dwarfs, and debris disks. He maintains an active research program utilizing the world's largest telescopes and developing new astronomical instrumentation. Dr. Millar-Blanchaer specializes in polarimetry, which leverages the wave nature of light to detect faint disks and characterize exoplanetary atmospheres. His work bridges observational astronomy, instrument development, and data analysis techniques. His research interests span exoplanet direct imaging, brown dwarf atmospheres, debris disks, astronomical instrumentation, and infrared astronomy. His recent publications demonstrate a consistent focus on pushing the boundaries of polarimetric techniques for exoplanet detection and characterization. The work spans both theoretical development of new methods and practical applications using major observatories. His research group at UCSB appears to be actively developing software tools for astronomical data analysis and simulation. Dr. Millar-Blanchaer is actively engaged with students and collaborators, welcoming new research partnerships. His laboratory maintains several software projects related to astronomical instrumentation and data analysis, including tools for Mueller matrix calculations and instrument simulation.

• Astrophysics
• Gravitational Waves
• Binary Evolution
• +۳ مورد دیگر

Dr. Marc van der Sluys van der Sluijs is a researcher at Utrecht University's Department of Gravitational and Subatomic Physics (GRASP) and the Dutch National Institute for Nuclear and High Energy Physics (Nikhef) in Amsterdam. His academic focus spans gravitational-wave detection, binary evolution, and computational astrophysics, with active roles in the Virgo, LIGO, and Einstein Telescope collaborations. Research Interests: His work centers on gravitational-wave data analysis, neutron star and black hole coalescences, common-envelope evolution, and multi-messenger astronomy. He employs heavy computing and Bayesian statistics for empirical modeling of astrophysical phenomena. Teaching: He teaches Introduction to Astrophysics and Stellar Evolution in Utrecht University's physics bachelor program. Publications: His recent articles (2019–2025) predominantly explore gravitational-wave detection methodologies, dark matter searches, and solar position algorithms. Key themes include machine learning applications in astrophysics, multi-instrument data analysis, and open-source software development for scientific computation. Ancillary Activities: He founded hemel.waarnemen.com , a popular Dutch astronomy website with 1–2 million annual visits, providing observational guides for celestial phenomena in Belgium and the Netherlands.

• Signal and Image Processing
• Bayesian Statistics
• Markov Chain Monte Carlo (MCMC) Methods
• +۴ مورد دیگر

Jean-François Giovannelli is a Professor at IMS Bordeaux , affiliated with the Université de Bordeaux . His work focuses on Signal and Image Processing within the SPECTRAL team. Collaborations span institutions like CEA , CNRS , and industry partners ( STMicroelectronics , Stellantis ), emphasizing Bayesian methods and MCMC algorithms for diverse applications. Current Affiliation : Professor, IMS Bordeaux, Université de Bordeaux Research Group : Signal and Image Processing Team : SPECTRAL Collaborations : CEA, CNRS, CESTA, Thales, NXP Research Interests include: Bayesian inference for inverse problems MCMC sampling techniques Signal/image reconstruction Mass spectrometry data analysis Adaptive optics in astronomy Medical imaging algorithms Article Trends show a focus on Bayesian modeling across disciplines: biomedical data, astronomical imaging, and microwave mapping. Key methods include MCMC samplers , regularized inversion , and statistical validation . Professional Contributions involve developing tools like NiftyRec for tomography and advancing Adaptive Optics restoration algorithms. His work bridges theoretical statistics and practical applications in healthcare, space, and defense.

Ilaria Pascucciمشاهده پروفایل

استاد

• Astrobiology
• Exoplanets
• Planetary Astronomy
• +۳ مورد دیگر

Dr. Ilaria Pascucci is a Professor at the Department of Planetary Sciences at The University of Arizona, with affiliations at the Lunar and Planetary Laboratory (LPL). Her research focuses on planet formation and evolution, linking protoplanetary disks to exoplanet populations. She has led numerous studies using space telescopes like the James Webb Space Telescope (JWST), Hubble, and Spitzer. Research interests include: Protoplanetary disk evolution and gas/dust dynamics Exoplanet demographics and habitable zone planet formation Observational astrophysics with advanced instrumentation Recent articles (2019–2025) highlight her work on disk winds, carbon-rich chemistry, and JWST-based studies of planet-forming regions. She has advised students like Naman Bajaj and Galen Bergsten. Scientific awards include: Fellow, American Astronomical Society She leads grants such as NASA's Nexus for Exoplanet System Science (NExSS) and National Science Foundation projects.

Coleman Krawczykمشاهده پروفایل

پژوهشگر

• Citizen Science
• Data Analysis
• Astronomy Outreach
• +۵ مورد دیگر

Coleman Krawczyk is a Senior Research Software Engineer at the Institute of Cosmology & Gravitation , University of Portsmouth , and a Citizen Science and Outreach Fellow. He serves as Technical Lead for the Tactile Universe project , creating 3D tactile astronomy models for vision-impaired students. A member of the Zooniverse development team, he builds data aggregation tools for citizen science projects like Global Earth Model (digital twin infrastructure) and Kilonova Seekers (real-time transient detection). Education: PhD from Drexel University (2014) Key Research: Machine learning for gravitational lensing, dark matter analysis, accessible astronomy, and SDSS/MaNGA survey contributions His recent work includes: Machine learning applications for Euclid Q1 Strong Lensing Discovery Engine (2025) GOTO065054+593624 dwarf nova detection (2025) Self-interacting dark matter evidence via SDSS J0946+1006 analysis (2025) LIGO-Virgo-KAGRA outreach initiatives (2024) Selected awards: Annie Maunder Medal for Outreach (2022) for accessible astronomy innovations He contributes to major collaborations including Sloan Digital Sky Survey , CANDELS , and Global Earth Model , while actively participating in Python-based astronomical software development ( Astropy , SkyPy). Current projects focus on machine learning integration with citizen science and 3D printing for inclusive education, maintaining active collaborations with institutions across the UK , USA , and International Sky Surveys .

Mark Taylorمشاهده پروفایل

پژوهشگر ارشد

• Astronomy
• Data Processing
• Virtual Observatory
• +۳ مورد دیگر

Dr Mark Taylor is a Research Fellow in the School of Physics at the University of Bristol, specializing in astronomical data processing. Previously, he served as a Research Assistant at the University of Cambridge from April 1998 to December 2001. Education: B.Sc. from the University of Bristol Ph.D. from the University of Bristol Taylor's research centers on developing sophisticated software for extracting scientific insights from massive astronomical datasets, particularly catalogues of galaxies and stars. He is the creator of TOPCAT, a widely adopted graphical tool for astronomical data analysis operating within the Virtual Observatory framework—a global ecosystem of interoperable data archives and tools. His work bridges astronomy, computer science, and data engineering to handle modern observational data volumes. His publication record reveals a dual trajectory: core contributions to astronomical data infrastructure (e.g., Gaia mission tools, TOPCAT extensions) and interdisciplinary forays into genetics and psychiatry. The 2025 Nature Human Behaviour paper on twin studies demonstrates expanding applications of his data analysis expertise beyond astronomy, while his foundational work remains concentrated on virtual observatory standards, database integration, and visualization of large-scale astrophysical datasets. No scientific awards are mentioned in the provided text. No information regarding student advising or research grants is available in the provided text. Taylor operates within the Astrophysics research group at Bristol and maintains active international collaborations, evidenced by co-authorship in the Gaia Collaboration and multi-institutional genetics studies. His work shows significant real-world impact with 96 Scopus citations and widespread academic/social media engagement.