جستجوی استاد راهنمای دانشگاهی

Avi Loebمشاهده پروفایل

استاد

• Cosmology
• Gravity
• High Energy Astrophysics
• +۵ مورد دیگر

Avi Loeb , the Frank B. Baird Jr. Professor of Science at Harvard University, is a leading astrophysicist and former Chair of Harvard's Department of Astronomy (2011-2020). He directs the Institute for Theory and Computation (ITC) and the Galileo Project (2021-present), while holding the Sackler Senior Professorship at Tel Aviv University. His research spans cosmology, black holes, interstellar objects, and the search for extraterrestrial life. Education: PhD in Physics from Hebrew University of Jerusalem (1986) Former Positions: Member of the Institute for Advanced Study, Princeton (1988-1993) Loeb's research interests include: Gravitational wave detection and interstellar object analysis Simulation hypothesis and cosmic reality Technological signatures beyond the Standard Model His recent publications focus on 3I/ATLAS , gravitational SETI, and AI alignment in space exploration. Awards include being named among TIME's 25 Most Influential People in Space (2012), 14 Most Inspiring Israelis (2020), and ranking #3 in global astronomical impact (2024). He chairs the Breakthrough Starshot Initiative and advises the National Academies' Board on Physics and Astronomy.

• Topological Data Analysis
• Data Visualization
• Computational Topology
• +۵ مورد دیگر

Bei Wang Phillips is an Associate Professor in the School of Computing and a faculty member at the Scientific Computing and Imaging (SCI) Institute at the University of Utah. She holds a Ph.D. in Computer Science from Duke University and an undergraduate degree from the University of Bridgeport. Her research focuses on Topological Data Analysis (TDA), data visualization, computational topology, and machine learning, with applications in scientific data exploration and analysis. She has received prestigious awards including the NSF CAREER Award (2022) and the PECASE Award (2025). Her work spans projects funded by NSF, NIH, and DOE, including multiparameter TDA and topology-aware data compression. She advises numerous students and collaborates on interdisciplinary initiatives in astrophysics, climate science, and AI fairness. Education: Ph.D. in Computer Science, Duke University (2010) B.S. in Computer Science and Mathematics, University of Bridgeport (2003) Research Interests: Topological techniques for large-scale data analysis Integration of topological, geometric, and machine learning methods Applications in visualization, bioinformatics, and network analysis Key Projects: NSF-funded TDA research (DMS-2301361, OAC-2313124) DOE project on topology-preserving data compression Collaborations with NASA, Argonne National Lab, and Carnegie Institution of Washington Awards: Presidential Early Career Award for Scientists and Engineers (2025) NSF CAREER Award (2022) DOE Early Career Research Program (2020) Advising and Grants: Mentored over 30 students and postdocs Recipient of multiple NSF and DOE grants totaling millions

Hakan Kayalمشاهده پروفایل

استاد

• Nanosatellites
• Space Systems
• Extraterrestrial Missions
• +۳ مورد دیگر

Prof. Dr.-Ing. Hakan Kayal serves as University Professor for Aerospace Engineering at the University of Würzburg, holding the Chair of Computer Science VIII (Space Technology) and chairing the Interdisciplinary Research Center for Extraterrestrial Studies (IFEX). His leadership bridges computer science and space systems engineering within the university's Institute of Computer Science. Research focuses on three synergistic domains: nanosatellite development for extraterrestrial missions (including the SONATE-2 6U platform demonstrating AI-driven onboard processing), scientific investigation of Unidentified Anomalous Phenomena (UAP) through the university's collaboration with the Federal Aviation Office, and spacecraft autonomy systems enabling higher mission independence. Current projects include the NEAlight mission (extended to develop the Apophis Interceptor concept for the 2029 asteroid flyby), VaMEx3-MarsSymphony for Mars exploration, and JMU Space Observatory initiatives. Publication trends reveal strong emphasis on asteroid defense strategies (particularly for Apophis), CubeSat-based UAP detection methodologies, and real-time AI processing in constrained space environments. His team actively engages students through ADS-B tracking, Meteosat App development, and Moon Base 2030 projects, while recent recognition includes co-authoring a landmark UAP review in Progress in Aerospace Sciences with 33 international scientists.

Denis Fougerouseمشاهده پروفایل

مدرس ارشد

• Structural Geology
• Economic Geology
• Nanochemistry
• +۳ مورد دیگر

Denis Fougerouse is a Senior Lecturer at Curtin University’s School of Earth and Planetary Sciences (EPS), specializing in structural and economic geology with a focus on nanogeoscience and advanced characterization techniques. He leads research using atom probe tomography (APT) to study mineral interfaces, fluid dynamics, and critical metal distribution. His work spans asteroid mineralogy (e.g., Ryugu samples), ore genesis, and nuclear geology (e.g., Chernobyl zircon re-equilibration). Fougerouse is a key member of Curtin’s Geoscience Atom Probe Facility, advancing applications of APT in geosciences. Research interests include gold remobilization mechanisms, sulfide chemistry, and shock metamorphism. He has contributed to landmark studies on pyrite microtextures, xenotime geochronology, and nanoparticle transport in gold deposits. Fougerouse’s awards include the 2024 Mineralogical Society of America Award for pioneering nanoscale mineral analysis. His interdisciplinary collaborations span planetary science, environmental geochemistry, and materials science, reflecting his role at the forefront of geoscience innovation.

Kevin A. Shinpaughمشاهده پروفایل

استاد

• Space Systems Engineering
• High-Performance Computing
• Spacecraft Design
• +۲ مورد دیگر

Kevin A. Shinpaugh is Collegiate Professor in the Department of Aerospace and Ocean Engineering at Virginia Tech’s College of Engineering. Since 2019 he has led instruction and research in spacecraft design and propulsion, leveraging decades of experience in high-performance computing and space-systems engineering. Education Ph.D., Aerospace Engineering, Virginia Tech (1994) M.S., Aerospace Engineering, Virginia Tech (1989) B.S., Aerospace Engineering, Virginia Tech (1986) Research Focus Dr. Shinpaugh’s scholarship centers on the intersection of high-performance computing (HPC) and space systems engineering . He develops and applies advanced computational techniques to spacecraft design, propulsion analysis, and mission planning. His work spans numerical simulation of complex aerospace systems, optimization of propulsion architectures, and creation of scalable HPC frameworks that enable rapid design iteration for spacecraft and launch vehicles. Publication Trends Across more than thirty refereed papers and design-competition reports, a clear trajectory emerges: early contributions in experimental fluid-mechanics instrumentation (laser-Doppler velocimetry, fiber-optic sensors) evolved into large-scale computational studies of space systems, and most recently into student-led mission-concept designs for CubeSats, lunar exploration, and interplanetary missions. Keywords consistently include spacecraft design, propulsion, deployable structures, and mission architecture. Service & Committees Chair, Virginia Tech HPC User Committee (2004–2011) Member, VT HPC Advisory Board (2007–present) NSF TeraGrid/XSEDE Campus Champion for Virginia Tech (2006–2013) IBM HPC/AI Customer Advisory Council DC (2019–present) Member, VT AOE Seminar Committee (2019–present) Laboratory & Computing Resources Dr. Shinpaugh has long stewarded Virginia Tech’s high-performance computing ecosystem. He directs students and collaborators in leveraging the university’s Advanced Research Computing (ARC) clusters, as well as national facilities through XSEDE and DoD HPCMP, to execute spacecraft-design simulations and propulsion analyses at scale.

Lars Linsenمشاهده پروفایل

استاد

• Interactive Visual Analysis
• Medical Visualization
• Scientific Visualization
• +۴ مورد دیگر

Prof. Dr.-Ing. Lars Linsen is a full Professor of Computer Science at the Westfälische Wilhelms-Universität (WWU) Münster, leading the VISualization & graphIX (VISIX) group. His primary affiliation is the Institute of Computer Science within the Faculty of Mathematics and Computer Science. He holds adjunct professorships at Jacobs University, Bremen, and has held previous academic roles including Full Professor at Jacobs University (2012–2017) and Associate/Assistant Professor roles in Germany and the U.S. His research focuses on interactive visual analysis, medical visualization, and scientific visualization, with applications in life sciences and engineering. Education: PhD (Dr.-Ing.) in Computer Science from Universität Karlsruhe (2001), M.Sc. (Diplom) in Computer Science (1997), B.Sc. (Vordiplom) in Computer Science (1994). Awards: IEEE Visualization Design Contest Winner (2008, 2022, 2018), Preis des Fördervereins des Forschungszentrum Informatik (2002). Research Highlights: Develops visualization tools for medical imaging (e.g., mass spectrometry imaging, MRI data analysis) and physical simulations (e.g., wildfire spread analysis, asteroid impact modeling). Active in EU-funded projects like Pig-Pro-QuO (surface coatings) and cells-in-motion initiatives. Supervised over 20 PhD/MS advisees, including notable graduates in medical visualization and simulation ensemble analysis. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, and EuroVis. Key works include SciVis contest-winning wildfire analysis frameworks and medical visualization tools for stenosis detection. Teaching: Offers courses on visualization, computer graphics, and computational science. Actively involved in thesis supervision and curriculum development at both WWU Münster and Jacobs University. Grants & Collaborations: Principal investigator on DFG-funded projects (e.g., hemodynamics simulations, ensemble visualization) and industry collaborations (e.g., Tascon GmbH for coating quality analysis). Member of the Cells-in-Motion Interfaculty Centre and CDH board at WWU.

Paul Wiegertمشاهده پروفایل

استاد

• Planetary Science
• Astronomy
• Celestial Mechanics
• +۶ مورد دیگر

Paul Wiegert is a Full Professor in the Department of Physics and Astronomy at the University of Western Ontario , where he has been since 1996 after positions at York University and Queen's University. He is a member of the Institute for Earth and Space Exploration (IESX) and the Centre for Planetary Science and Exploration (CPSX) . His research spans asteroid dynamics , exoplanet systems , and celestial mechanics , with notable work on Earth co-orbital asteroids like (3753) Cruithne and Earth's first Trojan asteroid 2010 TK7. Education : PhD in Astronomy (University of Toronto, 1996) Research Domains : Planetary Science, Astronomy, Big Data Analytics His recent publications focus on interstellar transport mechanisms , asteroid impact risks , and exomoon detection . Key findings include quantifying risks from asteroid 2024 YR4's potential lunar impact and demonstrating the feasibility of detecting alpha Centauri-origin material in our solar system. He actively supervises graduate students like Cole Gregg and participates in NSERC-funded summer research programs for undergraduates. For planetary defense, he has analyzed collision probabilities for Apophis and developed meteoroid hazard models for spacecraft. His work appears in Planetary Science Journal , Nature Astronomy , and Astrophysical Journal Letters , with media coverage in 60+ outlets and 126 X (Twitter) mentions .

Penina Axelradمشاهده پروفایل

استاد

• Astrodynamics
• Satellite Navigation
• Global Navigation Satellite Systems (GNSS)
• +۵ مورد دیگر

Dr. Penina Axelrad is a University of Colorado Distinguished Professor and Joseph T. Negler Professor of Aerospace Engineering Sciences at the University of Colorado Boulder. She has held academic roles since 1992, serving as Department Chair from 2012–2017. A member of the National Academy of Engineering since 2019, her research focuses on GNSS technology, satellite navigation, and remote sensing applications. She has authored over 223 publications and secured $17.5M in research grants. Education: Ph.D., Aeronautics and Astronautics, Stanford University, 1991 S.M., Aeronautical and Astronautical Engineering, MIT, 1986 S.B., Aeronautical Engineering (Avionics Option), MIT, 1985 Research Interests: Global Navigation Satellite Systems (GNSS), multipath mitigation, GNSS reflectometry, orbital dynamics, and quantum sensing for Earth science. Her work bridges astrodynamics, satellite navigation, and environmental monitoring. Awards: Member, National Academy of Engineering (2019) Women In Aerospace Educator Award (2016) Institute of Navigation Samuel Burka Award (2012) AIAA Summerfield Book Award (2011) Advising & Grants: Advised numerous students (no names listed) and led major grants including NASA Quantum Pathways Institute and Sentinel-6 orbit determination projects. Active in Institute of Navigation leadership roles. Labs/Teams: Colorado Center for Astrodynamics Research (CCAR), Quantum Pathways Institute, and collaborative efforts on CubeSat atomic clock experiments.

Dan Sheldonمشاهده پروفایل

استاد

• Computational Biology
• Bioinformatics
• Machine Learning
• +۵ مورد دیگر

Dan Sheldon is a Professor in the Department of Computer Science at the University of Massachusetts Amherst, holding a Five College joint faculty position with Mount Holyoke College. His research focuses on developing algorithms to address environmental challenges using large datasets, emphasizing computational sustainability. Key areas include spatial optimization for endangered species conservation, continent-scale bird migration modeling, and interpreting weather radar data for ecological insights. Methodologically, his work leverages probabilistic inference, network modeling, and machine learning. Sheldon earned a PhD in Computer Science from Cornell University and an AB in Mathematics from Dartmouth College. His postdoctoral training at Oregon State University was supported by an NSF Bioinformatics Fellowship. He co-leads the BirdCast project, an NSF-funded initiative applying novel machine learning to avian migration studies. His research affiliations include the Center for Data Science and the Computational Social Science Institute. Research interests span computational biology, machine learning, and data privacy. Notable contributions include algorithms for ecological decision-making, differentially private synthetic data techniques, and Gaussian process applications in environmental forecasting. Awards include an NSF Fellowship in Bioinformatics. Current projects integrate radar data analysis, biodiversity tracking, and privacy-preserving statistical methods. Grants include the BirdCast NSF grant and collaborations in computational sustainability. His work bridges theoretical computer science with applied ecological challenges, emphasizing interdisciplinary approaches to global-scale environmental problems.

• Geophysics
• Geodynamics
• Remote Sensing
• +۴ مورد دیگر

Craig O'Neill is an Associate Professor in Geophysics/Remote Sensing at the School of Earth & Atmospheric Sciences, Faculty of Science, Queensland University of Technology (QUT). His research spans geodynamics, planetary science, geophysics, and engineering geology, with a strong focus on understanding Earth and planetary evolution through computational modeling and geophysical data analysis. His research interests include Geophysics, Geodynamics, Remote Sensing, Planetary Science, Engineering Geology, Geochemistry, and Geology . He applies advanced numerical methods to model planetary interiors, tectonic processes, and geohazards, with recent work exploring early Earth crust formation, Venusian core dynamics, exoplanet thermal evolution, and applied geophysical techniques for engineering and environmental monitoring. The trend in his recent publications shows a strong interdisciplinary focus, combining computational geophysics with planetary science and Earth systems analysis. His work appears in leading journals such as Nature , Science Advances , and Geophysical Research Letters , covering topics from asteroid impacts and craton formation to ambient noise tomography and groundwater response to climate change. Professional Memberships: Australian Society of Exploration Geophysicists American Geophysical Union Australian Geomechanics Society Craig O'Neill supervises research students in areas such as lunar seismology and planetary geodynamics. While no specific grants are listed in the provided text, his extensive publication record and active research programs suggest ongoing funding support. He has developed open-source tools like Planet_LB for lattice-Boltzmann modeling of planetary systems. He is actively involved in the geophysics community, with scholarly profiles on ORCID, Google Scholar, and Scopus, and shares his research via X (formerly Twitter). His work bridges fundamental planetary science with practical geophysical applications.

Jacqueline McClearyمشاهده پروفایل

استادیار

• Astrophysics
• Cosmology
• Weak Gravitational Lensing
• +۴ 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.

Brandon A. Jonesمشاهده پروفایل

دانشیار

• Space Situational Awareness
• Satellite Navigation
• Orbit Uncertainty Propagation
• +۵ مورد دیگر

Brandon A. Jones is an Associate Professor in the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. He holds the Charles Elmer Rowe Fellowship in Engineering and leads the Texas Spacecraft Laboratory (TSL) and the Controls, Autonomy, Estimation, and Learning for Uncertain Systems (CAELUS) Laboratory. His research focuses on space situational awareness, spacecraft navigation, and uncertainty quantification, with applications to orbital mechanics, multi-target tracking, and autonomous systems. Dr. Jones received his Ph.D. in Aerospace Engineering from the University of Colorado Boulder and has held roles at NASA Johnson Space Center and as a Research Assistant Professor. He is an Associate Fellow of the AIAA and former chair of the American Astronautical Society's Space Surveillance Technical Committee. His work includes NASA-funded projects like the SCOPE-1 CubeSat mission for terrain-relative navigation and the Crater-based Navigation and Timing (CNT) system for lunar missions. Key research areas include: Multi-source information fusion for space object tracking Machine learning for crater detection and autonomous navigation Uncertainty propagation in cislunar and highly perturbed orbits Event-based sensor systems for harsh-lighting environments Recent achievements include the 2023 W. A. 'Tex' Moncrief Grand Challenge Award and leadership in collaborative projects with NASA, JPL, and academia. His labs emphasize student-driven CubeSat missions and cutting-edge algorithms for space domain awareness.

Siegfried Egglمشاهده پروفایل

استادیار

• Astrodynamics
• Planetary Defense
• Celestial Navigation
• +۶ مورد دیگر

Siegfried Eggl is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign , with additional affiliations as an Affiliate Faculty in the Department of Astronomy (2022–present) and the National Center for Supercomputing Applications (NCSA) (2021–present). His research bridges astrodynamics, planetary defense, and celestial navigation, focusing on spacecraft trajectory optimization, asteroid deflection, and autonomous navigation systems. Education: B.S., Astrophysics, University of Vienna (2005) M.S., Astrophysics, University of Vienna (2008) M.S., Computational Physics, University of Vienna (2009) Ph.D., Astrophysics, University of Vienna (2013) Research Interests: Eggl investigates astrodynamics for planetary defense, including momentum transfer in asteroid impacts (e.g., NASA’s DART mission). He develops algorithms for celestial navigation using variable stars and studies space domain awareness to address satellite constellation interference. His work also explores dynamical systems in binary star environments and computation/data-driven approaches to orbital mechanics. Recent Publications highlight advancements in planetary defense simulations , celestial navigation algorithms , and asteroid impact dynamics . Topics include state transition matrix computation , ejecta momentum analysis , and binary asteroid system modeling . Scientific Awards: LSST Architect Award (2021) Space Foundation 2023 Space Achievement Award (DART Team) AIAA Award for Engineering Excellence (DART Team, 2023) Asteroid 2000 GT167 named 'Eggl' (2023) 2024 Engineering Council Outstanding Advisors Best paper award at AIAA Guidance, Navigation, and Control Conference (2024) Eggl contributes to professional societies such as the AIAA , American Astronomical Society (Division on Dynamical Astronomy) , and International Astronomical Union , where he co-leads the Centre for the Protection of the Dark and Quiet Sky. His APEX research group at UIUC focuses on planetary defense and astrodynamics.

• Computer Vision
• Autonomous Systems
• Robotics
• +۱۲ مورد دیگر

Dr Lounis Chermak is a Lecturer in Computer Vision and Autonomous Systems at the Centre for Electronic Warfare, Information and Cyber, part of Cranfield Defence and Security at Cranfield University, UK. He leads the Joint Autonomy Lab and is actively involved in research and education in autonomous systems with applications in defence and space. Research Interests: His work focuses on situational awareness in autonomous platforms, with core expertise in computer vision, sensor fusion, artificial intelligence, robotics, and navigation. He investigates perception, decision-making, and mobility across aerial, ground, maritime, and space systems, developing robust solutions for challenging environments including low visibility and extreme illumination. The recent publications reflect a strong trend in autonomous navigation, particularly for space and defence applications, using advanced computer vision techniques such as thermal stereo odometry, HDR imaging, stixel-based scene understanding, and lightweight 3D descriptors. Research also extends to cybersecurity of autonomous systems, including impersonation attack detection and optical countermeasures. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Dr Chermak leads research activities supported by postdoctoral researchers, PhD, and MSc students. His work is funded and applied in collaboration with major clients including aerospace organizations (ESA, UK Space Agency, Thales Alenia Space), defence agencies (MoD, DSTL, BAE Systems, MBDA), and technology companies (Samsung, Astroscale). He supervises research students in robotics and autonomous systems across civilian and defence domains. Labs and Teams: He leads the Joint Autonomy Laboratory, a 200 m² indoor facility equipped with drone netting, motion capture systems, virtual reality test benches, UAV and ground robot fleets, electric vehicles, and multiple sensors for vision, ranging, and motion. This lab supports both educational and cutting-edge research in autonomous systems.

John A. Tardunoمشاهده پروفایل

استاد

• Paleomagnetism
• Geomagnetism
• Geodynamics
• +۷ مورد دیگر

John A. Tarduno is a Professor of Geophysics in the Department of Earth and Environmental Sciences and holds a dual appointment as Professor of Physics & Astronomy at the University of Rochester. He founded the university's paleomagnetism laboratory and has led expeditions to the Arctic, Sahara, and Southern Africa. His research focuses on paleomagnetism, geomagnetism, and geodynamics, particularly the evolution of Earth's magnetic field and hotspot dynamics. Tarduno earned his BS from Lehigh University and MS/PhD from Stanford University after postdoctoral work at Stanford and ETH-Zurich. He served as chair of the Department of Earth and Environmental Sciences from 1998 to 2006. Research interests include the geodynamo, mantle plume migration, and ancient magnetic field behavior. Notable contributions include challenging the fixed hotspot hypothesis via the Hawaiian-Emperor seamount study and discovering Earth's magnetic field existed as early as 4.2 billion years ago using zircon crystals. His work has been recognized with the Price Medal (Royal Astronomical Society), Petrus Peregrinus Medal (EGU), and Guggenheim Fellowship. Tarduno has authored over 100 publications, including studies in Science , Nature , and PNAS . He mentors students in fieldwork and laboratory research, emphasizing Arctic and Pacific expeditions. Beyond academia, he is an avid cyclist, duathlete, and trail runner.