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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.

• Cosmology
• Gravity
• High Energy Astrophysics
• +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

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

Paul D. Asimow is the Eleanor and John R. McMillan Professor of Geology and Geochemistry at the California Institute of Technology (Caltech), part of the Division of Geological and Planetary Sciences. He holds a B.A. from Harvard University (1991), an M.S. (1993), and a Ph.D. (1997) from Caltech. His career progression includes roles as Assistant Professor (1999–2005), Associate Professor (2005–2010), and Professor (2010–present), with the McMillan Professorship since 2016. Education: A.B. in Geology, Harvard University, 1991 M.S. in Geology, Caltech, 1993 Ph.D. in Geology, Caltech, 1997 Research Interests: Focuses on computational, experimental, and observational approaches to igneous petrology and mineral physics. Key areas include adiabatic mantle melting, water's role in mantle dynamics, high-pressure mineral physics, and processes at mid-ocean ridges. His research utilizes advanced facilities like the Lindhurst Laboratory of Experimental Geophysics and the alphaMELTS software package for thermodynamic modeling. Articles Overview: Recent work spans planetary crust formation, Martian petrogenesis, and high-pressure mineral behavior. Themes include experimental techniques, computational modeling, and cosmochemical studies of meteorites. Awards and Honors: James B. Macelwane Medal (AGU) Frank Wigglesworth Clarke Medal (Geochemical Society) Richard P. Feynman Prize for Teaching Excellence (Caltech) Fellow of the American Geophysical Union Fellow of the Mineralogical Society of America Grants and Labs: Received NSF funding for developing an interactive phase equilibria curriculum. Leads the Lindhurst Laboratory, focusing on shock-wave experiments and high-pressure mineral physics. Collaborates on software tools like alphaMELTS and MAGMASOURCE. Labs and Teams: Active in the Caltech Shock Wave Laboratory, advancing experimental methods for planetary material studies. Engages in interdisciplinary projects on Mars geology and terrestrial planet formation.

• Geochemistry
• Geology
• Chemical Petrology
• +۴ 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.

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

Prof. Ping Lu is the Albert W. Johnson Distinguished Professor and Department Chair in the Department of Aerospace Engineering at San Diego State University (SDSU), College of Engineering. He holds a PhD from the University of Michigan. His research focuses on advanced guidance systems, autonomous trajectory planning, flight control, and flight mechanics, with applications to space transportation systems like the X-33, Orion Crew Exploration Vehicle, and Mars missions. Prof. Lu has contributed to major programs such as the Evolvable Mars Campaign and has pioneered algorithms for propellant-optimal guidance and trajectory optimization. His awards include the NASA Director’s Innovation Group Achievement Award (2016) and AIAA Mechanics and Control of Flight Award (2008). Research highlights include model predictive guidance algorithms, six-degree-of-freedom rocket landing optimization, and fuel-optimal strategies for Mars and lunar missions. His work bridges theoretical control systems with practical aerospace applications, emphasizing real-world feasibility through convex optimization and numerical methods. Key contributions include over 150 peer-reviewed articles, with recent trends focusing on end-to-end trajectory optimization from entry to powered descent, asteroid landing trajectory design, and robust abort protocols. He leads SDSU’s aerospace systems research, collaborating on cutting-edge projects like the Pterodactyl entry vehicle and fractional-polynomial guidance frameworks.

• Advanced Guidance Systems
• Aerospace Trajectory Optimization
• Flight Control
• +۳ مورد دیگر

Matt Nowinski is a Collegiate Associate Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering. His professional roles include advisory board memberships and leadership positions within the department. He holds multiple degrees including a Ph.D. in Mechanical Engineering from ETH Zurich (1999), an M.S. in Computer Science from Syracuse University (2022), and prior mechanical/aerospace engineering degrees from Virginia Tech. His research focuses on asteroid dynamics (particularly D-type and V-type asteroids), gas turbine engines, aeroelasticity, and education technology. Notable areas include lightcurve analysis, surface mineralogy modeling, and machine learning applications in astronomy. His work bridges aerospace engineering with astrophysics, leveraging both experimental and computational methods. Dr. Nowinski has over 24 years of industry experience as a Boeing subject matter expert in military communications systems, complemented by academic roles at George Mason University and University of Chicago. He is a recipient of the John Jones Faculty Fellowship and Society of Distinguished Alumni honor. His research contributions span asteroid characterization, turbine blade flutter mechanisms, and telescope instrumentation. Current work emphasizes observational astronomy through the Stone Edge Observatory and Slack-based collaborative platforms. He actively contributes to advancing STEM education through innovative curricula and research integration.

• Aerospace Engineering
• Asteroid Dynamics
• Machine Learning
• +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.

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

Distinguished Professor David Jewitt is a prominent planetary scientist at UCLA's Department of Earth and Space Sciences within the College of Letters and Science. He has held this position since 2009 and also serves as a Professor in the Department of Physics and Astronomy since 2010, and as Director of the Institute for Planets and Exoplanets since 2011. Dr. Jewitt earned his B.Sc. in Astronomy from the University of London (1979), followed by M.S. (1980) and Ph.D. (1983) in Planetary Science from Caltech. Prior to UCLA, he served on the faculty at MIT (1983-1988) and the University of Hawaii (1988-2009), where he became a full Professor in 1993. His research focuses on primitive bodies of the Solar System, particularly comets which he considers remnants from planetary accretion processes. His work aims to understand solar system formation and evolution through studying these objects. Recent publications explore non-gravitational forces in planetary systems, interstellar interlopers, and the asteroid-comet continuum, reflecting his continued leadership in solar system small body research. Shaw Prize (2012) Kavli Prize (2012) Member of the National Academy of Sciences (2005) Exceptional Scientific Achievement Medal, NASA (1996) Professor Jewitt has mentored numerous students including Jane Luu (co-discoverer of the Kuiper Belt) and Chadwick Trujillo. As Director of the Institute for Planets and Exoplanets, he fosters interdisciplinary research connecting planetary science with exoplanet studies. His work continues to shape our understanding of the solar system's formation through analysis of its smallest constituents.

• Outer Solar System
• Solar System Formation
• Cometary Science
• +۳ 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.

• Computational Biology
• Bioinformatics
• Machine Learning
• +۵ 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

Dr. Jessica Sunshine is a Professor in the Department of Geology at the University of Maryland. Her research focuses on planetary materials and processes, particularly using spectroscopy and morphological analysis to study comets, asteroids, meteorites, and lunar geology. She is a principal investigator on NASA missions such as the Double Asteroid Redirection Test (DART) and the Lucy Mission, contributing to breakthroughs in planetary defense and asteroid composition analysis. Dr. Sunshine holds a Ph.D. from Brown University (1994). Her work integrates field-based and remote sensing techniques, including thermal infrared spectroscopy, to explore topics like the origins of spinel-rich deposits on the Moon, the composition of Trojan asteroids, and the dynamics of impact ejecta. She leads the Lunar Vulkan Imaging and Spectroscopy Explorer (Lunar-VISE) mission to study non-mare volcanic regions on the Moon. Her recent studies include analyzing the DART mission's impact on Dimorphos, revealing insights into asteroid deflection mechanics and surface material responses. She has also contributed to understanding the geological history of Ceres and the compositional diversity of Jupiter Trojans through the Lucy mission's data.

• Planetary Science
• Asteroid Composition
• Comet Studies
• +۳ مورد دیگر

Bryan E. Penprase is a Professor of Physics and Astronomy and Vice President for Sponsored Research and External Academic Relations at Soka University of America. He holds a PhD from the University of Chicago and degrees from Stanford University. His research spans archeoastronomy, quasar absorption line spectroscopy, and liberal arts education in Asia. Penprase has served as Dean of Faculty at SUA, a founding faculty member of Yale-NUS College, and Chair of Physics and Astronomy at Pomona College. Education: PhD, Astronomy and Astrophysics, University of Chicago (1992) MS, Applied Physics, Stanford University BS, Physics, Stanford University Research interests include: Global liberal arts curriculum design Cultural astronomy Type Ia supernova dynamics His recent academic leadership includes developing SUA's interdisciplinary Life Sciences program, launching Teaching Innovation Grants, and organizing international conferences on STEM education. Penprase has authored/co-authored over 20 peer-reviewed articles and two books on astrophysics and education. Key administrative roles: Director, Yale-NUS Centre for Teaching and Learning Member, NUS Teaching Academy Co-founder, Liberal Arts Consortium for Online Learning (LACOL)

• STEM Education for the 21st Century
• Liberal Arts and Higher Education in Asia
• Archeoastronomy and Cultural Astronomy
• +۳ 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.

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

Dr. Kelly Cohen is a Professor and Brian H. Rowe Endowed Chair in the Department of Aerospace Engineering and Engineering Mechanics at the University of Cincinnati's College of Engineering and Applied Science. His career spans over two decades, marked by significant contributions in AI, UAV systems, and aerospace engineering. He has led numerous research initiatives, secured grants from agencies like NSF, NIH, and NASA, and developed innovative solutions in autonomous robotics and medical AI applications. Dr. Cohen is also recognized for his teaching excellence and mentorship, having advised 12 PhD and 33 MS students. Education: Ph.D. in Aerospace Engineering, Technion, Israel Institute of Technology (1999) M.Sc. in Aerospace Engineering, Technion (1991) B.Sc. in Aeronautical Engineering, Technion (1986) Research Interests: Focus on AI-driven systems for aerospace and biomedical applications, including trustworthy AI, UAV control, optimization, and safety-critical systems. Current projects involve assured autonomy, medical phenotypic plasticity modeling, and advanced air mobility. Scientific Awards: Over 20 awards, including the UC Dolly Cohen Award, AIAA Technical Contribution Award, and Greater Cincinnati Consortium Excellence in Teaching Award. Grants and Advising: Principal Investigator on over 100 grants totaling millions, including projects on UAV traffic systems, AI safety, and medical AI. His labs include the AI Bio Lab and collaborations with NASA, FAA, and industry partners.

• Artificial Intelligence (AI)
• Unmanned Aerial Vehicles (UAVs)
• Fuzzy Logic Systems
• +۷ 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.

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