جستجوی استاد راهنمای دانشگاهی

Pratul Srinivasan is a Researcher at Google DeepMind specializing in Neural Radiance Fields (NeRF) , 3D scene reconstruction , and view synthesis at the intersection of computer vision , graphics , and machine learning . He earned his PhD from the EECS Department at UC Berkeley in 2020 under Ren Ng and Ravi Ramamoorthi , with prior research at Duke University on medical computer vision under Sina Farsiu . Research Interests: Pratul focuses on 3D reconstruction using neural fields, light field synthesis , illumination modeling , and diffusion-based 3D generation . His work addresses challenges in photorealistic rendering , real-time view synthesis , and inverse rendering with applications in astronomy and medical imaging . Publication Trends: Recent articles emphasize real-time NeRF (e.g., Bolt3D), refractive material modeling , shadow-based illumination recovery , and cross-scale generative synthesis . Collaborations span institutions including MIT , NVIDIA , and ETH Zurich . Scientific Awards: 2025 SIGGRAPH Significant New Researcher Award 2021 ACM Doctoral Dissertation Award Honorable Mention 2020 David J. Sakrison Memorial Prize Best Paper Awards at ECCV 2020, ICCV 2021, and CVPR 2022 Advising & Collaborations: Advised by Ren Ng and Ravi Ramamoorthi during his PhD, Pratul collaborates with researchers like Jonathan T. Barron , Ben Mildenhall , and Katherine L. Bouman . His work integrates differentiable simulations , Fourier feature networks , and multiplane image extrapolation . Technical Contributions: Key innovations include anti-aliased NeRF , memory-efficient rendering , refractive relighting , and multi-view relighting techniques , with impacts on virtual reality , astronomical imaging , and 3D content creation .

• Computer Vision
• Computer Graphics
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Dominik Schwarz is a faculty member at the Faculty of Physics , Bielefeld University. His research focuses on Cosmology and Particle Physics , particularly in the areas of Dark Energy , Dark Matter , Cosmological Inflation , and Large-Scale Structure Formation . He contributes to projects like the International LOFAR Telescope Consortium and the SFB-TRR 211 on strongly interacting matter. APART Fellow of Austrian Academy of Sciences Humboldt Fellow CERN Fellow His recent work explores the cosmic dipole anisotropy , axion density perturbations , and multi-wavelength cosmic web mapping . He also advances data science infrastructure through the PUNCH4NFDI consortium.

• Cosmology
• Particle Physics
• Astrophysics
• +۶ مورد دیگر

Nabila Aghanim is an astrophysicist and cosmologist at the Institute of Space Astrophysics (IAS), a joint research unit of Université Paris-Saclay and the French National Center for Scientific Research (CNRS). Appointed as a CNRS Director of Research in 2010, she has held significant leadership roles including Deputy Director of the IAS and Director of the Science Observatory at Université Paris-Saclay from 2017 to 2021. Dr. Aghanim completed her PhD thesis at the IAS under the direction of Jean-Loup Puget in 1996. Following her doctorate, she served as a temporary teaching fellow (ATER) at Université Paris-Sud (now Université Paris-Saclay) for one year before undertaking post-doctoral fellowships at the University of California at Berkeley and with CNES. Nabila Aghanim's research focuses on cosmology and astrophysics, with particular emphasis on the cosmic microwave background (CMB), dark matter, and dark energy. Her work involves predicting physical models to measure theoretical scenarios and translating instrumental data into testable theories. She has been instrumental in major international space telescope projects, particularly the Planck mission which measured tiny temperature variations in the CMB - the fossil radiation from the Big Bang. Her current research includes the ByoPIC project (the Baryon Picture of the Cosmos), which aims to locate the 'missing' ordinary matter in the universe by combining Planck data with other information sources. She is also actively involved in the Euclid space telescope mission, contributing to the construction and scientific use of the VIS imager. 2022: Huy Duong Bui Grand Prize from the French Academy of Science 2017: CNRS Silver Medal 2017: ERC Advanced Fellowship for the ByoPIC project Dr. Aghanim serves on the scientific committee of CNES and the Council of the European Astronomical Society. Her research has significantly advanced our understanding of the cosmic web and the distribution of matter in the universe. She has coordinated international teams while analyzing satellite measurements, particularly during her leadership of one of the Planck scientific programs from 2009 to 2016. Currently, she is exploring mission concepts for observing fossil radiation to detect variations in its emission spectrum, which could reveal the thermal and energetic history of the universe from the Big Bang to the present day. She also participates in the CNES stratospheric balloon project 'BISOU' (Balloon Interferometer for Spectral Observations of the primordial Universe), focusing on scientific instrumentation.

• Cosmology
• Astrophysics
• Cosmic Microwave Background
• +۴ مورد دیگر

Yen-Chi Chen is an Associate Professor in the Department of Statistics at the University of Washington. He also holds positions as a Data Science Fellow at the UW eScience Institute and as a co-investigator and statistician at the National Alzheimer's Coordinating Center. His academic career spans multiple interdisciplinary fields including statistics, data science, and astrostatistics. Chen's educational background includes a Ph.D. from Carnegie Mellon University, where he received prestigious awards including the Umesh K. Gavasakar Thesis Award (2017) and the William S. Dietrich II Presidential Ph.D. Fellowship Award (2015). His research focuses on nonparametric statistics, topological data analysis, missing data methodologies, cluster analysis, manifold learning, and applications in large-scale structure analysis and astrostatistics. Chen has made significant contributions to the development of statistical methods for analyzing cosmic web structures, GPS data, and causal inference with continuous treatments. His work bridges theoretical statistics with practical applications in astronomy, neuroscience, and public health. Analysis of his recent publications reveals a strong emphasis on developing novel statistical frameworks for complex data structures, particularly focusing on density-based methods, manifold learning, and approaches that address challenges in missing data and causal inference without standard assumptions. ASA Noether Early Career Scholar Award, American Statistical Association (2022) CAREER Award, National Science Foundation (2022-2027) Umesh K. Gavasakar Thesis Award, Carnegie Mellon University (2017) William S. Dietrich II Presidential Ph.D. Fellowship Award, Carnegie Mellon University (2015) Chen has advised numerous graduate students across multiple publications, with a focus on developing new statistical methodologies. His research has been supported by major funding agencies including the National Science Foundation and the National Institutes of Health. He is actively involved in several research groups including the UW Geometric Data Analysis Group, the UW Center for Statistics and the Social Sciences, and the National Alzheimer's Coordinating Center.

• Nonparametric statistics
• Topological data analysis
• Missing data
• +۷ مورد دیگر

Daisuke Nagai is a Professor of Physics and Astronomy at Yale University and the Director of Graduate Studies in the Yale Physics Department. His research focuses on theoretical and computational cosmology, including dark matter, dark energy, galaxy clusters, and data science. He holds a Ph.D. from the University of Chicago (2005) and a B.S. from the University of Michigan (1999). Before joining Yale in 2008, he was a Sherman Fairchild Postdoctoral Scholar at Caltech. Positions: Professor (2022–present), Director of Graduate Studies (2022–2025), Co-Director Yale Center for Research Computing (2015–2019). Awards: Stephen Murray Lectureship (2018), Cottrell Scholar (2012), IUPAP Young Scientist Prize (2011). His work uses high-resolution cosmological simulations to study galaxy cluster formation, X-ray observations, and the interplay between dark matter and baryonic processes. He also leads efforts in computational astrophysics and data-driven methods for cosmological analysis.

• Astrophysics
• Cosmology
• Galaxy Formation
• +۴ مورد دیگر

Ue-Li Pen is a Professor at the Canadian Institute for Theoretical Astrophysics (CITA), which is part of the Faculty of Arts & Science at the University of Toronto. His research focuses on theoretical astrophysics where basic physical effects can be isolated from astronomical complexities. His research interests include n-body and hydro simulations, origin of galaxy spin, dark energy studies through 21cm cosmology, baryon acoustic oscillations (BAO), absorber acceleration, and research on Fast Radio Bursts (FRBs) and pulsars related to gravitational waves, wave optics, and lensing. Current projects involve the non-linear dynamics of the cosmic neutrino background, 21cm intensity mapping, pulsar VLBI scintillometry, and the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Analysis of recent publications shows Pen's work spans multiple cutting-edge areas in astrophysics, particularly focused on radio astronomy techniques, gravitational wave detection methods, black hole imaging, and cosmological measurements using 21cm radiation. His research often involves innovative applications of wave optics and interferometry to solve astrophysical problems. Professor Pen maintains an active research program with numerous recent publications in top astrophysics journals, demonstrating his continued leadership in the field of theoretical astrophysics and cosmology.

• Theoretical Astrophysics
• Cosmology
• Radio Astronomy
• +۷ مورد دیگر

Dr. Jacqueline McCleary is an Assistant Professor of Physics at Northeastern University's College of Science, specializing in observational cosmology with a focus on galaxy clusters and dark matter. She leads research using weak gravitational lensing to study cosmic structures, collaborating on projects like the COSMOS-Web (JWST), SuperBIT (balloon telescope), and LoVoCCS surveys. Her work leverages multi-wavelength data from space, stratospheric, and ground-based observatories. Education: M.S. in Astronomy (New Mexico State University), M.S. and Ph.D. in Physics (Brown University), Postdoctoral Fellow at NASA's Jet Propulsion Laboratory. She transitioned to Northeastern as an ADVANCE Future Faculty Fellow before becoming a tenure-track faculty member in 2022. Research Interests: Dark matter interactions, galaxy cluster dynamics, gravitational lensing techniques, and next-generation observational platforms. Her team develops advanced algorithms and instrumentation for high-resolution imaging. Recent Contributions: COSMOS-Web has enabled unprecedented observations of distant galaxies using JWST, while SuperBIT's stratospheric flights provide diffraction-limited data. Key publications focus on lensing surveys, data reduction techniques, and dark matter-halo relationships. Awards: Recognized as a Northeastern ADVANCE Future Faculty Fellow. Media Engagement: Regularly comments on space exploration, asteroid risks, and cosmic phenomena for public outlets.

• Astrophysics
• Cosmology
• Weak Gravitational Lensing
• +۴ مورد دیگر

B. B. Cael is an interdisciplinary climate and ocean scientist affiliated with the Department of the Geophysical Sciences at the University of Chicago and the Climate Systems Engineering Initiative . His work integrates data analysis and theoretical models to investigate global-scale questions about Earth's carbon cycle and climate system. Cael's research interests span climate mitigation , climate sensitivity , climatic extremes , ocean biogeochemistry , plankton ecology , remote sensing , and paleoclimate . His publications focus on ocean carbon fluxes, climate feedbacks, and marine ecosystem dynamics, with recent work applying machine learning to oceanographic data. His academic journey includes a PhD from the MIT-WHOI Joint Program , a Simons Foundation Postdoctoral Fellowship at the University of Hawai’i at Manoa, and a Principal Scientist role at the UK's National Oceanography Centre. Current research at UChicago addresses both carbon dioxide removal and solar geoengineering strategies. Scientific Awards Simons Foundation Postdoctoral Research Fellow

• climate mitigation
• climate sensitivity
• climatic extremes
• +۶ مورد دیگر

Adrian Unc is a Professor at Memorial University of Newfoundland's School of Science and the Environment, with affiliations at McGill University and University of Leeds. His research focuses on northern agriculture under climate change, boreal soil health, waste re-valorization, and microbiological drivers of soil fertility. B.Sc. in Agronomy (Timisoara, Romania) M.Sc. & PhD in Soil Science (University of Guelph) Postdoc in Environmental Microbiology (University of Ottawa, Medicine) Research spans climate change impacts on boreal soils, biochar applications for soil fertility, microbial transport dynamics, and permafrost-affected soil systems. He established Canada's first graduate program for northern agriculture (Boreal Ecosystems and Agricultural Sciences - BEAS) and co-founded the Canadian Soil Biodiversity Observatory. His 15 most recent articles address soil carbon cycling, microbial ecology in reclaimed mines, fertilizer source effects on nutrient dynamics, biochar's role in boreal agriculture, and geophysical methods for soil moisture mapping. These works emphasize interdisciplinary approaches to food security, environmental quality, and climate adaptation strategies. Senior Cheney Fellow (2014) Top 3% Cited in Soil Use and Management (2024) Scientific Reports Top 100 Earth Science Article (2018) Top 1% Cited in Applied Soil Ecology (2000 paper) As Deputy Editor of Soil Use and Management and former Associate Editor of Algal Research , he has shaped scientific discourse in soil and algal sciences. His work integrates field studies (e.g., Pye Farm, Labrador) with global collaborations on boreal climate impacts.

• Northern Agriculture Under Climate Change
• Soil and Environmental Health and Quality
• Re-cycling and Re-valorization of Organic Wastes
• +۴ مورد دیگر

Prof. Adam Deller is a Professor at Swinburne University of Technology, affiliated with the School of Science, Computing and Emerging Technologies. His academic journey includes a BSc, BE (1st class honours), and PhD in Astrophysics from Swinburne. He specializes in radio interferometry, neutron star physics, fast radio bursts (FRBs), and space domain awareness. His research focuses on compact objects like pulsars and black holes, using radio telescopes for high-resolution imaging. He co-founded Fourier Space Pty Ltd, developing signal processing solutions for radio astronomy and space industries. **Research Interests**: Radio interferometry instrumentation, neutron star magnetospheres, FRB localization and cosmological applications, and space domain awareness through radio observations. **Awards**: Includes the Pawsey Medal (2020), Newcombe Cleveland Prize (2022), and multiple grants from ARC and industry partners. His grants focus on SKA pulsar timing, FRB studies, and gravitational wave astronomy collaborations. **Teaching**: Teaches Computational Astrophysics, emphasizing numerical simulations for astrophysical problems. **Grants & Collaborations**: Key roles in ARC Centre of Excellence for Gravitational Wave Discovery, SKA pulsar timing projects, and international telescope collaborations like ASKAP and VLBI networks.

• Astronomy
• Astrophysics
• Radio Astronomy
• +۵ مورد دیگر

Matthew Leybourne is an Associate Professor in the Department of Geological Science and Geological Engineering at Queen's University, affiliated with the Faculty of Arts and Science. He holds a cross-appointment at the Arthur B. McDonald Canadian Astroparticle Physics Institute. His research focuses on geochemical and isotopic investigations of ancient and modern rocks, particularly developing analytical methods for ultra-low trace element concentrations. He leads projects at the Queen’s Facility for Isotope Research, including low-level trace material determinations for astroparticle physics applications. Education: PhD (1998) in Earth Sciences from the University of Ottawa; M.Sc. (1988) in Geology from Acadia University; B.Sc. (1985) in Geology from the University of Waikato. Research interests include ore deposit geochemistry, environmental geochemistry, and quality assurance in analytical methods. Key projects involve fluid geochemistry of ore deposits, marine hydrothermal systems, and isotopic tracers for astrophysics. His work bridges geology and physics, addressing questions about Earth’s early evolution and宇宙起源. Advising includes postdoctoral fellows focused on geochemical analysis and mineral exploration. He collaborates with the McDonald Institute on interdisciplinary projects combining geology with astroparticle detection. Affiliations include the Journal of Tethys, Canadian Geosciences Education Network, and the Society of Economic Geologists.

• Geochemistry
• Environmental geochemistry
• Earth and related environmental sciences
• +۳ مورد دیگر

Arya Farahi is an Assistant Professor of Statistics and Data Sciences at the University of Texas at Austin since 2021. His research bridges astroinformatics, urban informatics, and AI ethics, focusing on mitigating algorithmic bias and uncertainty quantification in real-world applications. He holds PhDs in Physics and Scientific Computing from the University of Michigan, where he was a Data Science Fellow at the Michigan Institute for Data Science. Farahi's work includes collaborations with international projects such as the Dark Energy Survey (DES), COsmostatistics Initiative (COIN), and XMM-XXL Consortium. He leads the D3 Lab, which develops AI tools for scientific discovery and societal challenges, emphasizing interdisciplinary collaboration. His open-source contributions include TATTER, KLLR, and PoPE for statistical analysis and visualization. Key awards include the Best Student Paper Award at KDD’18 and a $400k+ grant. He is a volunteer with Statistics Without Borders and actively involved in projects like the Fire and Smoke Digital Twin for urban resilience. His research spans cosmology, healthcare AI, and urban economics, with a focus on trustworthy models and equitable AI systems.

• Statistical/Machine Learning
• Algorithmic Fairness
• Astroinformatics
• +۳ مورد دیگر

Jonathan Blazek is an Assistant Professor of Physics at Northeastern University's College of Science, specializing in observational and theoretical cosmology. His research focuses on large-scale astronomical surveys to understand cosmic structure and dark energy, particularly through galaxy clustering and weak gravitational lensing. He is a key member of the Dark Energy Survey and Vera C. Rubin Observatory collaborations, leading efforts to combine multi-wavelength datasets for cosmological insights. Blazek earned his Ph.D. from UC Berkeley and completed postdoctoral fellowships at EPFL (Switzerland) and Ohio State University. Education: Ph.D. in Physics, University of California, Berkeley Postdoctoral Fellowships: EPFL (Switzerland), Ohio State University Research Interests: His work centers on cosmological modeling using galaxy surveys, particularly refining analytic and numerical methods to connect observations with theoretical frameworks. Key areas include: Weak gravitational lensing and galaxy clustering Combined-probe cosmology (integrating datasets across wavelengths) Dark matter and dark energy dynamics Large-scale structure formation Publications & Grants: Blazek has authored over 50 peer-reviewed articles, including foundational work on intrinsic alignment modeling and cosmic shear analysis. He leads the NSF CAREER grant project exploring dark sector physics with galaxy surveys. His recent publications address baryonic feedback effects, CMB lensing cross-correlations, and next-generation survey methodologies. Labs & Collaborations: He contributes to the Northeastern Cosmology Group and the Dark Energy Science Collaboration, advancing projects like the Legacy Survey of Space and Time (LSST) at Vera Rubin Observatory.

• Cosmology
• Astrophysics
• Galaxy Clustering
• +۵ مورد دیگر

Dr. Noam Libeskind is a faculty member and group head of the Cosmography and Large-Scale Structure group at the Leibniz-Institut für Astrophysik Potsdam (AIP). He specializes in mapping the Universe's large-scale structure and using these maps to simulate the local environment. His work bridges observational and theoretical astrophysics, focusing on galaxy formation, the Local Group dynamics, and cosmographic reconstructions. He has held professorial positions, including at the Institute of Two Infinities (Université de Lyon-1) until 2021. Current projects include leading trans-national initiatives on cosmic web impacts (with Purple Mountain Observatory) and gravity tests via Local Group simulations (with Polish Academy of Sciences). Libeskind’s research interests include satellite galaxies, matter distribution reconstructions, and alignments of galaxies relative to their environments. His work has been featured in Scientific American and Sky & Telescope , highlighting contributions such as cosmography of the Local Universe and dark matter studies. Key collaborations span institutions like Hebrew University, Shanghai Astronomical Observatory, and Durham University. He leads projects like CLUES (Constrained Local UniversE Simulation) and HESTIA (High-resolution Environmental Simulations) to model the Local Universe. His team’s efforts have been recognized, including a 2024 municipal award for organizing impactful scientific meetings. Publications span cosmological simulations, galactic dynamics, and observational cosmology, with a focus on advancing understanding of the Milky Way, Andromeda, and their surrounding structures.

• Galaxy Formation
• Cosmography
• Local Group Dynamics
• +۳ مورد دیگر

Vikram Ravi is an Assistant Professor of Astronomy at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics and Astronomy. He leads the astronomy department's research on relativistic astrophysical phenomena and instrumental development. His academic journey includes a B.S. from the Australian National University (2009) and a Ph.D. from the University of Melbourne (2014), followed by postdoctoral roles at Caltech and Harvard-Smithsonian Center for Astrophysics. His research focuses on neutron stars, black holes, fast radio bursts (FRBs), and tidal disruption events (TDEs). He pioneered the DSA-2000 radio telescope project, aiming to revolutionize transient astronomy. Key contributions include gravitational wave predictions from supermassive black hole binaries and FRB-based studies of galaxy halos and dark matter. Ravi's honors include the Charlene Heisler Prize and Stefano Braccini Prize for his Ph.D. work on pulsar-timing constraints on gravitational waves. He actively mentors students and postdocs in instrumentation, computational astrophysics, and observational campaigns. His groups at Caltech and Owens Valley Radio Observatory develop cutting-edge tools like the Deep Synoptic Array (DSA) telescopes, enabling breakthroughs in FRB localization, TDE surveys, and cosmic baryon mapping. Future projects include the DSA-2000's fast-time-domain surveys and dark matter searches.

• Neutron Stars
• Black Holes
• Fast Radio Bursts (FRBs)
• +۵ مورد دیگر