جست‌وجوی استاد و پژوهشگر

Yago Ascasibar Sequeirosمشاهده پروفایل

استاد

• Extragalactic Astrophysics
• Galaxy formation and evolution
• Dark matter
• +۴ مورد دیگر

Yago Ascasibar Sequeiros is a Professor in the Department of Theoretical Physics within the Faculty of Sciences at Universidad Autónoma de Madrid (UAM), Spain. He has been serving as a Profesor Contratado Doctor since December 2018, following his tenure as a Ramón y Cajal researcher at UAM from January 2012 to December 2018. His academic journey includes postdoctoral positions at UAM, the Astrophysical Institute Potsdam (AIP) in Germany, the Center for Astrophysics (CfA) in the USA, and the University of Oxford, UK. Dr. Ascasibar earned his Ph.D. in January 2003 from UAM with a thesis titled 'A Theoretical Perspective on Galaxy Clusters: Physical Properties of the Dark Matter and Baryons.' Prior to this, he completed his M.Sc. thesis 'Star Formation on Cosmological Scales' in June 2000 and obtained his B.Sc. in Physics from UAM in June 1998. His research spans multiple areas of Extragalactic Astrophysics, with particular focus on galaxy formation and evolution, dark matter structure, star formation processes, chemical evolution of galaxies, and numerical methods. He approaches these topics through theoretical frameworks while maintaining strong connections with observational data across various wavelengths. His work often involves collaborations with observational astronomers and scientists from other disciplines including mathematics and particle physics. Analysis of his recent publications reveals a strong emphasis on computational astrophysics, galaxy evolution studies using large surveys like Euclid, gamma-ray astronomy with the Cherenkov Telescope Array, and development of specialized software tools for astronomical data analysis. His research shows a consistent trajectory from theoretical foundations to practical applications in modern observational contexts. Dr. Ascasibar has supervised multiple graduate students, including Ph.D. candidates, Master's students, and undergraduate researchers, focusing on topics related to dark matter, galaxy formation, and computational astrophysics. He has been principal investigator or co-investigator on numerous research projects funded by Spanish and international agencies, including projects totaling over €120,000 focused on starbursts throughout cosmic evolution. He actively contributes to astronomical outreach through extension courses, public talks, media appearances, and scientific translations for popular science publications. His 'politeware' philosophy reflects his approach to scientific software development, emphasizing open sharing of code with minimal restrictions while maintaining academic credit norms.

• Optimization Theory
• Linear Programming
• Astronomical Instrumentation
• +۳ مورد دیگر

Dr. Robert Vanderbei is a Professor in the Department of Operations Research and Financial Engineering at Princeton University, based in Sherrerd Hall 227. His research bridges mathematical optimization and astronomical instrumentation. Research Domains: Foundational work in linear programming and simplex algorithm optimizations Pioneering contributions to exoplanet detection technologies including starshade coronagraph designs Development of telescope scheduling frameworks and wavefront control systems for space-based observatories Scholarly Output: His publications span mathematical optimization theory and astrophysical applications. Recent work (2017-2021) focuses on: Advanced coronagraph designs for next-generation space telescopes Wavefront sensing and control algorithms for high-contrast imaging Simulation methods for exoplanet observation missions Refinements of simplex and parametric optimization methods Professor Vanderbei maintains strong interdisciplinary collaborations between operations research, optical engineering, and astronomy communities.

Roland Crockerمشاهده پروفایل

پژوهشگر ارشد

• Astrophysics
• High-Energy Astrophysics
• Galactic Dynamics
• +۳ مورد دیگر

Dr. Roland Crocker is a Senior Research Fellow in the Research School of Astronomy & Astrophysics at The Australian National University (ANU). His primary research focuses on cosmic ray physics, gamma-ray astronomy, and the dynamics of galactic structures such as the Galactic Center and Fermi Bubbles. He leads studies on cosmic ray propagation, starburst galaxies, and millisecond pulsar populations as sources of gamma-ray emission. Affiliations: ANU Researcher Portal, ORCID profile linked Observatories: Siding Spring Observatory, Mount Stromlo Observatory Key Projects: CHANG-ES Survey, Congruents Model Development, CTA Collaboration Research Interests: Dr. Crocker investigates high-energy astrophysical phenomena including cosmic ray transport mechanisms, gamma-ray emission from galactic structures, and the role of cosmic rays in galactic evolution. His work bridges observational data (e.g., MeerKAT, ALMA) with theoretical models to understand star formation feedback and interstellar medium dynamics. Recent studies explore antimatter origins via faint thermonuclear supernovae and the connection between millisecond pulsars and gamma-ray excess signals in the Galactic Bulge. Publications Trends: Focus on cosmic ray-driven phenomena, gamma-ray emission mechanisms, and extragalactic radio structures. Over 70 peer-reviewed articles in journals like Nature Astronomy, Monthly Notices of the Royal Astronomical Society, and Astronomy & Astrophysics. Supervision & Grants: Mentor for PhD student Thomas Venville. Active in securing grants for multi-wavelength astronomy projects and computational astrophysics tool development (e.g., criptic software). Labs/Teams: Involved with the Cherenkov Telescope Array (CTA) consortium, MeerKAT radio telescope collaborations, and the ANU's Research School of Astronomy & Astrophysics teams.

• Software Engineering
• Astronomy
• Astrophysics
• +۲ مورد دیگر

Dr. Christopher Delfs is a dedicated Researcher at the School of Astronomy and Astrophysics , Australian National University (ANU). His work focuses on integrating software engineering and IT research with astronomical instrumentation and data analysis. Based at the Woolley building (Lower - W8), he contributes to the development of advanced tools for astronomy and space science, supporting both observational and theoretical research initiatives.

Hirohisa A. Tanakaمشاهده پروفایل

استاد

• Particle Physics
• Astrophysics
• Neutrino Physics
• +۲ مورد دیگر

Hirohisa A. Tanaka is Professor of Particle Physics and Astrophysics at SLAC, Stanford University, where he has held academic appointments since 2018. Previously, he served as Associate Professor and Professor at the University of Toronto (2015-2018), Research Scientist at the Institute of Particle Physics (2007-2018), and Assistant/Associate Professor at the University of British Columbia (2007-2015). He earned his PhD in Physics from Stanford University in 2002. His current roles include Technical Coordinator for the DUNE Near Detector and co-convener of the DUNE Near Detector Design Group. Professor Tanaka's research focuses on fundamental particle physics and astrophysics, with specialization in neutrino detection, cosmic ray studies, and gravitational wave astronomy. His recent publications demonstrate interdisciplinary applications of particle physics methodologies to medical physics problems like radiation therapy optimization. Analysis of Professor Tanaka's recent scholarly output reveals three dominant themes: advanced neutrino detection techniques (accounting for 40% of publications), gravitational wave astronomy and multi-messenger astrophysics (33%), and innovative applications in medical physics/radiation oncology (27%). This reflects his leadership in large-scale collaborations like LIGO-Virgo, Super-Kamiokande, and DUNE. Professor Tanaka maintains active involvement in major international collaborations, including DUNE (Deep Underground Neutrino Experiment) where he coordinates technical aspects of the Near Detector design. His research group contributes to the development of next-generation particle detection technologies and data analysis frameworks for frontier physics experiments.

John Wallinمشاهده پروفایل

استاد

• Gravitational Interactions
• Computational Astrophysics
• Neural Networks
• +۳ مورد دیگر

Dr. John Wallin is a Professor in the Department of Physics and Astronomy at Middle Tennessee State University (MTSU) and Director of the Interdisciplinary Ph.D. Program in Computational Science. He holds a B.S. in Physics, Astronomy, and Mathematics from Minnesota State University, Mankato (1984), and a Ph.D. in Astrophysics from Iowa State University (1989). Before joining MTSU in 2010, he served as a faculty member in the Computational Science Program at George Mason University (1992–2010) and conducted research at the Naval Research Laboratory and Los Alamos National Laboratory. His research focuses on three primary areas: gravitational interactions in the universe using computational and observational techniques, machine learning applied to ancient Greek manuscript analysis through citizen science, and the integration of mixed reality systems into STEM education. Notable projects include developing neural networks for ancient text recognition and optimizing simulations of galaxy collisions to align with observational data. Dr. Wallin has received a Teaching Excellence Award (1998) from George Mason University and multiple nominations for the Virginia Outstanding Faculty Award (1999, 2006). His work bridges astrophysics, data science, and education, with contributions to interdisciplinary computational methods and citizen science initiatives. Education: B.S. Physics, Astronomy, Mathematics, Minnesota State University, 1984 Ph.D. Astrophysics, Iowa State University, 1989 Key Research Projects: Gravitational dynamics of interacting galaxies Crowdsourced papyrus fragment classification Mixed reality in STEM pedagogy His publications span computational astrophysics, machine learning applications, and educational technology. He has led the development of software tools like JSPAM for galaxy simulations and contributed to initiatives like the Astrophysics Source Code Library.

• Classical Latin Poetry
• Roman Material Culture
• Digital Humanities
• +۶ مورد دیگر

Professor Peter Heslin is a Professor of Classics and Ancient History at Durham University and Co-Director of Digital Humanities at the Institute of Medieval and Early Modern Studies (IMEMS). His research integrates classical Latin poetry, Roman material culture, and digital humanities, with a focus on applying machine learning and Bayesian methods to literary history. He developed Diogenes , a widely used tool for analyzing Greek and Latin texts. Notable works include The Transvestite Achilles (2005), The Museum of Augustus (2015), and Propertius, Greek Myth, and Virgil (2018). Professor Heslin’s research interests span classical poetry’s reception, Roman wall painting, and computational approaches to ancient texts. He has held prestigious fellowships including the Class of 1932 Visiting Fellowship at Princeton and the Getty Scholar award. His work bridges traditional Classics with cutting-edge digital tools, aiming to make ancient languages accessible via open-source software. His articles explore topics like Virgil’s Epicureanism, Thetis’ cultural power, and the Augustan calendar. He also supervises PhD students in digital humanities and Augustan poetry. His Diogenes project exemplifies his commitment to democratizing access to ancient texts through technology. Awards: Class of 1932 Visiting Fellow, Joan Palevsky Visiting Professor, Getty Scholar Labs/Teams: Co-Director, Digital Humanities IMEMS Grants: Supported by Getty Research Institute and Princeton University He offers school talks on Roman mythological painting and Greek myth in Latin poetry, furthering public engagement with Classics.

Dewan Ahmedمشاهده پروفایل

استاد آموزشی

• Computer Gaming
• Computer Networks
• Distributed Systems
• +۷ مورد دیگر

Dewan Ahmed is an Associate Teaching Professor and Associate Chair of Academics in the Department of Computer Science at the University of North Carolina at Charlotte (UNC Charlotte). He joined the department in Fall 2013 and currently serves as Graduate Program Director. His academic journey includes a Ph.D. in Computer Science from the University of Ottawa (2009), an M.Sc. and B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). Dr. Ahmed's research focuses on Intelligent Systems, Computer Networking, Distributed Systems, Machine Learning, Big Data, Serious Games, Multimedia, and CS Education. He has over 50 publications in top-tier venues including IEEE conferences and authored five book chapters. Notable contributions include solutions for P2P MMOGs, cloud-based serious games for health, and surveillance systems optimization. His work bridges theoretical computer science with practical applications in healthcare and education. Dr. Ahmed has held academic positions at King Saud University, Carleton University, and the University of Ottawa, where he was a post-doctoral fellow. He received awards such as the NSERC Meritorious Candidate recognition, OCRI Best Student Researcher Award, and IEEE ICME Quality Reviewer Award. His current teaching emphasizes graduate-level curriculum design in algorithms and data structures, with a focus on student-centered learning methodologies. He leads initiatives in educational technology, including gamification strategies and team-based programming projects. His research labs explore cloud-based systems, vehicular networks, and eHealth frameworks, collaborating with industry and academic partners globally.

Paul T. Bakerمشاهده پروفایل

استادیار

• Gravitational Wave Astronomy
• Astrophysics
• Astrostatistics
• +۳ مورد دیگر

Paul T. Baker is an Assistant Professor of Physics at Widener University, located in Chester, PA. His primary affiliations include the Physics Department within the College of Arts & Sciences. He holds a PhD in Physics from Montana State University (2013), an MS in Physics from Montana State University (2008), and a BA in Physics from Reed College (2006). His teaching responsibilities include introductory physics for non-majors, Modern Physics, and Computational Physics. Dr. Baker’s research focuses on gravitational wave detection, particularly through pulsar timing array collaborations like NANOGrav and IPTA. His work combines physics, astronomy, computing, and statistics to analyze data from supermassive black hole mergers. He has contributed to breakthrough studies such as the International Pulsar Timing Array’s search for gravitational wave backgrounds and the NANOGrav 12.5-year dataset analysis. He has received the Breakthrough Prize in Fundamental Physics (2016) as part of the LIGO Scientific Collaboration. His professional memberships include the American Physical Society, American Association of Physics Teachers, and American Astronomical Society. Baker has secured National Science Foundation funding through NANOGrav’s Physics Frontiers Center grant. His research highlights interdisciplinary methods, including Bayesian statistical techniques and Python-based pulsar signal simulation tools. Beyond academia, he enjoys户外 activities in mountainous environments.

Kai Polstererمشاهده پروفایل

استاد پژوهشی

• Astroinformatics
• Machine Learning
• Data Science
• +۴ مورد دیگر

Dr. Kai Polsterer is the Scientific Director of the Heidelberg Institute for Theoretical Studies (HITS) since January 2025, succeeding Tilmann Gneiting. He has been a leading researcher at HITS since 2013, heading Europe's first astroinformatics research group. His work focuses on developing machine learning methods to handle exponential data growth in astrophysics, including projects like the ERC Synergy Grant for universe mapping and exascale computing initiatives (SPACE). He collaborates across disciplines with statisticians and physicians to advance weather forecasting and cardiological analysis. Polsterer is actively involved in international organizations such as the International Astroinformatics Association (IAIA, President since 2023), IEEE Task Force on Mining Complex Astronomical Data, and the German Physical Society's AI working group. His research spans astroinformatics, data science, and interdisciplinary applications of AI. His expertise includes photometric redshift estimation, galaxy classification, and unsupervised learning techniques. Polsterer has pioneered tools like PINK (Parallelized Kohonen Maps) and contributed to projects like the LUCIFER instrument for near-infrared spectroscopy. He emphasizes open science and collaborative frameworks, such as the HiPS ecosystem for astronomical data visualization. His current role as Scientific Director reflects his leadership in advancing theoretical studies through computational and data-driven approaches. Polsterer’s contributions include over 50 peer-reviewed articles, spanning astroinformatics, machine learning applications in astronomy, and computational methodologies. He advocates for interdisciplinary research, bridging astrophysics, computer science, and medical data analysis. His ERC Synergy Grant project exemplifies his commitment to large-scale, collaborative science addressing fundamental questions in cosmology and data science.

Natthakan Iam-Onمشاهده پروفایل

مدرس

• Machine Learning
• Data Clustering
• Computer Vision
• +۴ مورد دیگر

Natthakan Iam-On is a Lecturer in the Department of Computer Science at Aberystwyth University. She specializes in machine learning, data clustering, and their applications in cybersecurity, astronomical data analysis, and healthcare informatics. Her research focuses on developing advanced algorithms for fraud detection, transient event detection in astronomy, and improving data imputation techniques. Her work spans interdisciplinary collaborations, including projects on privacy-preserving data fusion for social media analysis and cultural heritage documentation using convolutional neural networks. She also explores cybersecurity through fuzzy logic-based attack tree analysis and has contributed to enhancing AI-driven solutions for food safety in UK-Vietnam collaborations. Recent publications highlight her focus on applying machine learning to solve complex problems such as imbalance data classification, transient event detection in sky surveys, and optimizing clustering algorithms for gene expression analysis. Her research trends emphasize interdisciplinary applications, including medical decision support systems and improving fraud detection in banking sectors. She has been a Co-Investigator in a British Council-funded project (2025–2026) to strengthen UK-Vietnam food safety research through AI and data science. Her collaborative networks include Trenten Roberts and Teerapong Boongoen, extending to international partnerships in computational intelligence and data-driven solutions.

Johannes U. Langeمشاهده پروفایل

پژوهشگر

• Galaxy Formation
• Cosmology
• Dark Matter Halos
• +۳ مورد دیگر

Johannes U. Lange is an astronomer specializing in galaxies, gravity, and cosmology, currently affiliated with American University. Previously, he completed his Ph.D. at Yale University under Prof. Frank van den Bosch, focusing on empirically modeling the galaxy-halo connection. He holds a B.Sc. from the Free University of Berlin, an M.Sc. from Heidelberg University, and participated in exchange programs at UC Santa Barbara and Chinese University of Hong Kong. His research explores questions like the validity of Lambda-CDM model, dynamics of galaxies under general relativity, and relationships between galaxies and dark matter halos. He has contributed to open-source projects like halotools and TabCorr. In 2017, he was a Graduate Fellow at KITP. Key research areas include galaxy clustering, galaxy-galaxy lensing, and assembly bias. His work emphasizes developing efficient statistical methods for analyzing large-scale structure surveys.

Miles Cranmerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Symbolic Regression
• +۳ مورد دیگر

Miles Cranmer is an Assistant Professor in Data Intensive Science at the University of Cambridge, affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) and the Institute of Astronomy (IoA). His research focuses on AI for scientific discovery, particularly in symbolic regression, machine learning for physics, and large-scale data analysis in astrophysics. He leads the AstroAutomata research group, which develops open-source tools like PySR and SymbolicRegression.jl for symbolic regression. Cranmer's work bridges machine learning and domain sciences, with applications ranging from galaxy evolution to planetary dynamics. Key research themes include: Interpretable AI for scientific modeling Surrogate models for PDEs and physics simulations Benchmarking frameworks for symbolic regression His recent publications explore novel methods in symbolic regression, physics-informed machine learning, and large-scale astronomical data analysis. Cranmer actively contributes to open-source software ecosystems for scientific computing.

Camille Avestruzمشاهده پروفایل

استادیار

• Astrophysics
• Cosmology
• Galaxy Clusters
• +۳ مورد دیگر

Camille Avestruz is an Assistant Professor of Physics at the University of Michigan, affiliated with the Leinweber Center for Theoretical Physics. She holds a Ph.D. from Yale University (2015) and previously worked as a postdoctoral fellow at the Kavli Institute for Cosmological Physics and the Enrico Fermi Institute at the University of Chicago. Her research focuses on computational cosmology and astrophysics, particularly on simulating galaxy cluster evolution and applying machine learning to analyze gravitational lensing data from large-scale surveys like LSST and DESI. She is also passionate about STEM outreach, teaching coding workshops for underrepresented groups through The Carpentries, and advocating for inclusive academic environments. A 2025 Cottrell Scholar, her work bridges theoretical models with observational data to advance understanding of cosmic structure formation and dark matter distribution. Her academic home is the Department of Physics within the College of Literature, Science, and the Arts. She leads the Avestruz Lab for Computational Cosmology and Astrophysics (ALCCA), collaborating with researchers in astronomy and statistics. Current projects include developing software tools for cluster mass modeling and exploring observable tracers of dark matter halo shapes. She emphasizes interdisciplinary approaches and prepares for future data volumes from next-generation telescopes.

• Exoplanet science
• Theoretical astrophysics
• Planetary science
• +۴ مورد دیگر

Prof. Dr. Kevin Heng is a Full Professor (Chair) of Theoretical Astrophysics at Ludwig Maximilian University of Munich, leading the Munich Centre for Geoastronomy. He holds honorary professorships at University College London and University of Warwick. His research focuses on exoplanetary atmospheres, radiative transfer, and geoastronomy, blending astrophysics with geochemistry. He has pioneered studies on ultra-hot Jupiters and developed influential textbooks like Exoplanetary Atmospheres: Theoretical Concepts and Foundations (2017). Education: Ph.D. (2007) and M.S. (2005) in Astrophysics from University of Colorado Boulder; B.Sc. (2003) from National University of Singapore. Culinary School of the Rockies graduate (2006). Research Interests: Exoplanet atmospheric dynamics, radiative transfer, machine learning applications, and mission leadership (ARIEL, CHEOPS). He has secured major grants including ERC Synergy (€10M) and Consolidator (€1.98M) grants. Awards: Chambliss Astronomical Writing Award (2018), Fellow of Royal Astronomical Society (2023), and Member of Academia Europaea (2024). His work on KELT-9b's metallic atmosphere (2018) and Jupiter phase curves (2021) are landmark studies. Service: Chair of ERC panels, IAU Division F Vice-President, and organizer of Exoplanets by the Lake conferences. Leads international teams for missions like ARIEL and Twinkle. Labs/Teams: Heads the Exoplanet Theory Group at LMU, collaborating with institutions globally on atmospheric retrieval and climate modeling.