Binary evolution Professors and Supervisors | ApplySharif

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Dan McCammonView profile

Professor

University of Wisconsin-MadisonUnited States

Dan McCammon is a Professor in the Department of Physics at the University of Wisconsin-Madison, affiliated with the College of Letters & Science. His research focuses on X-ray astronomy, including studies of the diffuse X-ray background, interstellar and intergalactic media, and the development of advanced X-ray instrumentation. He is a key contributor to the XRISM (X-ray Imaging and Spectroscopy Mission) satellite, leading efforts in high-resolution X-ray spectroscopy and mission operations. McCammon's work emphasizes understanding cosmic plasma dynamics, galaxy cluster physics, and supernova remnant evolution through cutting-edge observational techniques and detector technology. His research interests span multiple subfields, including the thermodynamic properties of galactic clusters, charge-exchange processes in astrophysical plasmas, and the design of cryogenic microcalorimeters for space-based observatories. He has pioneered advancements in transition-edge sensors (TES) and superconducting detectors, enhancing the precision of X-ray spectral measurements. McCammon has contributed to numerous sounding rocket missions, such as Micro-X, and has been instrumental in the development of the Line Emission Mapper (LEM) probe concept, aimed at mapping the soft X-ray sky with unprecedented resolution. His work on the Hitomi (ASTRO-H) satellite demonstrated breakthroughs in resolving the thermal and dynamic properties of cosmic plasmas, such as the Perseus galaxy cluster and the Crab Nebula. His publications highlight a focus on high-resolution X-ray spectroscopy of cosmic sources, including galaxy clusters, active galactic nuclei, and supernova remnants. He has explored topics like non-thermal pressure contributions in cluster cores, ionized plasma diagnostics, and the role of charge-exchange emissions in interpreting diffuse X-ray backgrounds. McCammon's instrumentation innovations have enabled breakthroughs in measuring spectral features with sub-eV resolution, advancing our understanding of astrophysical processes. Despite the absence of explicitly listed awards or grants in the provided text, his leadership in major space missions and pioneering detector technologies underscores his contributions to the field. His research team collaborates on international projects, such as XRISM and LEM, reflecting a commitment to advancing observational astrophysics through interdisciplinary collaboration.

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Judy HartView profile

Associate Professor

University of New South WalesAustralia

Associate Professor Judy Hart is a materials scientist at the School of Materials Science & Engineering, UNSW Sydney , specializing in the development of semiconducting materials for renewable energy applications. Her work integrates computational (DFT) and experimental approaches to understand composition-property relationships in systems like solid solutions , heterostructures , and doped materials for photocatalysis and solar cells . She leads projects funded by ARC Discovery and Linkage grants , including work on photo-electro-catalysis systems and stabilizing ceramic materials . Education: PhD in Materials Engineering (Monash University, 2007), BEng (Materials) (Monash, 2002) Professional Experience: Senior Lecturer (UNSW, 2017–), Lecturer (UNSW, 2013–2017), University of Bristol (2007–2012) Research Interests Her research focuses on designing materials for renewable energy , particularly photoelectrochemical water splitting and organic oxidation reactions . Key areas include Density Functional Theory (DFT) , defect engineering , band gap tuning , and nanostructured materials . She investigates ferroelectric polarization effects , metal oxide heterostructures , and stability of battery components , with applications in hydrogen production , CO2 conversion , and advanced battery materials . Scientific Awards Ramsay Memorial Fellowship (University of Bristol, 2007–2009) Teaching Contributions She is co-author of the 1st Australian & New Zealand edition of "Materials Science and Engineering: An Introduction" , and teaches courses on computational materials science , corrosion-resistant surfaces , mechanical behavior of metals , and materials design .

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Imre BartosView profile

Associate Professor

University of FloridaUnited States

Imre Bartos is an Associate Professor of Physics at the University of Florida, specializing in multi-messenger astrophysics that combines gravitational waves, neutrinos, and electromagnetic signals. His research investigates extreme cosmic explosions involving black holes and neutron stars, with emphasis on merger environments in active galactic nuclei. Groundbreaking work includes demonstrating how nearby neutron star mergers influenced Solar System composition, identifying AGN disks as factories for eccentric black hole mergers, and developing techniques to probe black hole origins through gravitational wave localization. His group participates in major collaborations including LIGO, LISA, and IceCube observatories. Professor Bartos received the Sloan Fellowship and shares Breakthrough Prize honors for contributions to gravitational wave astronomy. He leads observational programs using Chandra, VLA, and Fermi telescopes while mentoring students in computational astrophysics techniques.

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Jossy SayirView profile

Lecturer

University of CambridgeUnited Kingdom

Jossy Sayir is an Affiliated Lecturer and Senior Research Associate in the Department of Engineering at the University of Cambridge . Holding a Dipl. El.-Ing. ETH and Dr. Techn.-Wiss. from ETH Zurich, Sayir’s work bridges Information Theory and Bioinformatics , focusing on DNA-based data storage and error correction systems. They serve as Director of Studies in Engineering at Newnham College and coordinate Engineering Admissions. Interdisciplinary collaboration with the European Bioinformatics Institute Research on DNA data storage efficiency and cost reduction Expertise in channel coding, source coding, and 5G algorithms Teaching spans mathematics and information engineering modules in Part I Engineering Tripos, with Part II contributions on information theory, error control coding, and cryptography. Sayir also oversees data compression labs and serves as Wine Committee Chair, reflecting diverse interests in food, coffee, wine, music , and jazz . Best Lecturer Award, 2017-18 Research Fellowships in coding theory Key research trends include DNA storage encoding , LDPC decoders , polar code optimization , and Sudoku-inspired constraint coding . Sayir’s work addresses both theoretical and practical challenges in high-density data storage and next-generation communication protocols .

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Matias ZaldarriagaView profile

Professor

Princeton UniversityUnited States

Matias Zaldarriaga is the Richard Black Professor in the School of Natural Sciences at the Institute for Advanced Study (IAS), Princeton. His research focuses on theoretical cosmology, gravitational waves, and the Cosmic Microwave Background (CMB). He has held previous faculty positions at Harvard University (2003-2009) and New York University (2001-2002). Education: Ph.D. in Physics, Massachusetts Institute of Technology, 1998 Licenciado en Ciencias Físicas, Universidad de Buenos Aires, 1994 Zaldarriaga's work centers on decoding the early universe through CMB analysis and gravitational-wave astrophysics. He investigates inflation, large-scale structure formation, and black hole dynamics, leveraging advanced statistical methods to probe fundamental physics from cosmological data. His recent publications (2023-2025) demonstrate a strong focus on gravitational-wave data analysis, including novel algorithms for detecting binary black hole mergers, constraints on inflationary physics from large-scale surveys, and modeling supermassive black hole evolution. Key themes include higher-order waveform harmonics, pulsar timing arrays, and computational innovations for gravitational-wave astronomy. Awards and Honors: Gruber Cosmology Prize (2021) MacArthur Fellowship (2006) European Physical Society Gribov Medal (2005) Sloan Fellowship (2004) Helen B. Warner Prize, American Astronomical Society (2003) Packard Fellowship (2001) He collaborates extensively with international teams (e.g., LIGO-Virgo-KAGRA, DESI) and mentors researchers in cosmology and astrophysics. His group develops open-source tools for gravitational-wave inference and cosmological parameter estimation.

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John MartinView profile

Associate Professor

University of Illinois at SpringfieldUnited States

John Martin is an Associate Professor at the University of Illinois Springfield, affiliated with the School of Integrated Sciences, Sustainability, and Public Health. Since 2006, he has taught introductory physics for science majors and astronomy courses while directing the Henry R. Barber Research Observatory and hosting public UIS Star Parties. His research focuses on stellar astrophysics, particularly the life cycles of massive stars and phenomena like Eta Carinae. Stellar Astrophysics Massive Star Evolution Luminous Blue Variables (LBVs) Supernova Impostors Be Stars and Disks Photometry and Spectroscopy His publications, including over 100 peer-reviewed works, emphasize Eta Carinae's 5.5-year spectroscopic events, LBVs in M31/M33, Be star dynamics, and supernova impostors like SN 2009ip. Awards include the 2011 University of Illinois University Scholar title, JJ Nassau Fellowship (1997), and Dean's List recognitions. He earned his PhD in Astronomy from Case Western Reserve University (2003) and BS in Astro-Physics from the University of Virginia (1995). Scientific awards include 2011 University of Illinois University Scholar 1997 JJ Nassau Graduate Research Fellowship 1995 Mastin Graduate Fellowship 1995 Dean's List, University of Virginia 1994 Dean's List, University of Virginia

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Kent YagiView profile

Associate Professor

University of VirginiaUnited States

Kent Yagi is an Associate Professor in the Physics Department at the University of Virginia, specializing in theoretical astrophysics, gravity, and cosmology. His research focuses on using gravitational waves from compact objects like black holes and neutron stars to probe fundamental physics, including testing General Relativity in strong-field regimes and determining the equation of state of nuclear matter. Position: Associate Professor (2023-present), previously Assistant Professor (2017-2023) Education: Ph.D. in Physics from Kyoto University (2012) Prior positions: Postdoctoral Research Scholar at Princeton University (2015-2017), Postdoctoral Research Associate at Montana State University (2012-2015) Yagi's research centers on theoretical modeling of neutron stars and gravitational wave physics. He is particularly known for discovering the 'I-Love-Q' universal relations among neutron star observables that are insensitive to the equation of state. His work enables testing strong-field gravity and probing nuclear physics through gravitational wave observations. He also investigates binary pulsar systems as precision laboratories for testing gravitational theories beyond General Relativity. His research has significant implications for multi-messenger astronomy, connecting gravitational wave observations with electromagnetic counterparts to extract fundamental physics. The field has evolved rapidly since the first gravitational wave detection in 2015, and Yagi's theoretical predictions have helped shape how we interpret these observations to test gravity and nuclear physics in extreme conditions. NSF CAREER Award (2023) Sloan Research Fellowship (2019) IUPAP Young Scientist Prize (2019) Mead Honored Faculty (2018-2019) Yagi leads an active research group at UVA with multiple graduate and undergraduate students. His group collaborates with researchers across departments, including high energy physicists, nuclear physicists, astronomers, and researchers at the National Radio Astronomy Observatory. Current research directions include multi-band gravitational wave tests of general relativity, constraining nuclear matter parameters with GW170817, and developing parameterized post-Einsteinian gravitational waveform models for various modified gravity theories. The group has received multiple student research fellowships and awards, demonstrating strong mentorship and training of the next generation of physicists.

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Eric ChalfantView profile

Adjunct Assistant Professor

Queen's University at KingstonCanada

Eric Chalfant is an Adjunct Assistant Professor in the Department of Film and Media at Queen’s University. He has previously taught at Elon University and Portland Community College. He earned his PhD from Duke University (2016), MA from Wake Forest University (2011), and BA from Whitman College (2008). Research Interests: Intersections of media studies, religious studies, and affect theory; material media analysis; sound culture studies; interface studies; algorithmic and network culture. Key Projects: A book-length study on media archaeology of North American atheist media (print, broadcast, digital) and another project exploring media, religion, and affect studies through the lens of 'noise' and divination. Media Archaeology: Examines how changing media forms (print, radio, digital) shaped atheist subjectivity, from 19th-century openness to Reddit's networked speed. Advising: Serves as MA and PhD Co-Supervisor.

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Andrew WellsView profile

Associate Professor

University of OxfordUnited Kingdom

Andrew Wells is an Associate Professor of Physical Climate Science at the University of Oxford's Department of Atmospheric, Oceanic and Planetary Physics. His research focuses on fluid mechanics, thermodynamics, and geophysical processes, with a particular emphasis on sea ice dynamics, ice-ocean interactions, and turbulent convection. He is affiliated with the Ice and Fluid Dynamics research group and conducts studies using mathematical modeling, numerical simulations, and laboratory experiments. His work explores phenomena such as mushy layer growth in sea ice, buoyant plumes under ice shelves, and the impact of salinity on melt pond evolution. Key contributions include studies on Enceladus' geysers, frazil ice crystal interactions, and thermal convection in porous media. His research has implications for climate modeling, astrobiology, and geophysical fluid dynamics. Wells has published extensively in journals like *Journal of Fluid Mechanics*, *Geophysical Research Letters*, and *Proceedings of the Royal Society A*. His recent work emphasizes the interplay between phase changes, convection patterns, and environmental processes in polar and planetary systems.

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Laura BlechaView profile

Associate Professor

University of FloridaUnited States

Laura Blecha is an Associate Professor in the Physics Department at the University of Florida, specializing in astrophysics. Her research focuses on supermassive black hole (SMBH) and galaxy evolution through numerical simulations and observational collaborations. PhD from Harvard University (2012) Full Member of NANOGrav pulsar timing collaboration Associate Member of the LISA Consortium Her work spans three primary areas: SMBH Formation & Evolution : Origins of SMBHs, galaxy merger-driven growth, and intermediate-mass black hole demographics AGN Fueling & Feedback : Hydrodynamic simulations of AGN activation mechanisms and observational bias in AGN detection Binary SMBH Dynamics : Gravitational wave recoil effects, three-body interactions, and pulsar timing array detection strategies Recent publications (2025) focus on dual AGN detection with Keck AO, JWST studies of primordial galaxies, and NANOGrav gravitational wave background analysis. Her group develops sub-grid models for SMBH dynamics in cosmological simulations and investigates signatures of black hole mergers in galaxy clusters. Laura's research combines computational methods (Illustris, BRAHMA simulations) with observational validation through: JWST NIRSpec spectroscopy Pulsar Timing Array analysis Multiwavelength imaging campaigns

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Michael PradelView profile

Professor

Max Planck Institute for Software SystemsGermany

Michael Pradel is a full professor at the University of Stuttgart, specializing in software engineering, programming languages, and machine learning. He will join CISPA as a faculty member from September 2025 while retaining his Stuttgart position. His research focuses on: Neuro-symbolic software analysis Web application analysis Dynamic analysis and test generation Quantum software testing Machine learning for code Recent publications address: LLM-based program repair (RepairAgent, Treefix) WebAssembly analysis (Wasm-R3, LintQ) Python security and analysis (DyLin, DyPyBench) Quantum program analysis (LintQ) Scientific awards: Ernst-Denert Software Engineering Award Emmy Noether grant (1.3M Euro) ERC Starting Grant (1.5M Euro) 3x ACM SIGSOFT Distinguished Paper Award at FSE ACM Distinguished Member Best Paper/Distinguished Paper Awards at ISSTA, ASE, ASPLOS, MSR Key contributions include: DeepBugs for name-based bug detection Getafix for automated bug fixing LintQ for quantum program analysis DyLin for Python dynamic analysis Neuro-symbolic developer tools

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Olivier TougaitView profile

Professor

University of LilleFrance

Olivier Tougait is a Professor at the Chemistry, materials and processes for sustainable nuclear power (CIMEND) department within the Unité de Catalyse et Chimie du Solide (UCCS) at Université Lille . He specializes in solid-state chemistry, nuclear materials, and actinide-based compounds, with a focus on understanding fuel cycle processes for nuclear energy. Academic Background: PhD in Chemistry (1998, Université de Rennes1), Postdoctoral Fellow at Northwestern University (1998-2000). Career: Lecturer at Rennes1 (2000-2014), now Professor at UCCS since 2014. Collaborations include the French Alternative Energies and Atomic Energy Commission (CEA) , Orano , and Framatome . Research Interests: Actinide-based intermetallic compounds Phase diagrams of nuclear materials Magnetocaloric properties Fuel cycle process optimization Synthesis and thermodynamic behavior of uranium alloys Collaborative industrial nuclear R&D Publications since 2012 focus on: Uranium-molybdenum fuel characterization Germanium/Aluminum substitution in actinide systems Thermal stability of uranyl peroxide nanoclusters Crystallographic analysis of heavy-fermion materials Labs: Directs the joint research laboratories LR4CU and LRC PUMA, which collaborate with Orano and Framatome on nuclear fuel cycle innovations.

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John R. ThorstensenView profile

Professor

Dartmouth CollegeUnited States

John R. Thorstensen is a Professor of Physics and Astronomy at Dartmouth College since 1980. He serves as Director of the MDM Observatory (since 2007) and President of the MDM Observatory Corporation. His research focuses on observational studies of cataclysmic binary stars and X-ray binaries. He developed the widely-used astronomical planning software JSkyCalc and its predecessors. Education: B.A. in Physics from Haverford College (1974), Ph.D. in Astronomy from University of California, Berkeley (1980). Research emphasizes cataclysmic variable stars' orbital dynamics and population studies. Maintains a comprehensive catalog of cataclysmic variables using multi-source data (ASASSN, ZTF, Gaia). Collaborates internationally through the MDM Observatory consortium. Formerly led ground-based parallax studies before Gaia satellite data rendered this obsolete. Award-winning contributions to astronomical software and observational astronomy methodologies. Actively involved in observational campaigns at Kitt Peak, Arizona. Encourages queries from astronomers about unpublished orbital period data.

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Matthew J. GrahamView profile

Research Professor

California Institute of Technology (Caltech)United States

Matthew J. Graham is a Research Professor of Astronomy at the California Institute of Technology (Caltech), serving as the Project Scientist for the Zwicky Transient Facility (ZTF). His work bridges astronomy, machine learning, and data science, focusing on time-domain sky surveys that produce hundreds of thousands of public transient alerts per night. Previously, he has worked on the Catalina Real-time Transient Survey (CRTS), NOAO DataLab, Virtual Observatory, and Palomar-Quest Digital Sky Survey. Dr. Graham's primary research interests involve applying machine learning and advanced statistical methodologies to astrophysical problems, particularly the variability of quasars and other stochastic time series. His work addresses the unprecedented data volumes generated by 21st-century astronomy while expanding our ability to work with complex information systems beyond simple correlations. His current projects include real-time low latency inferencing via the NSF-funded A3D3 Institute, reinforcement learning for optimizing astrophysical follow-up campaigns, neural differential models for supermassive black hole variability, and functional analysis of multivariate time series. Analysis of Graham's recent publications reveals a strong focus on time-domain astronomy, particularly leveraging the capabilities of the Zwicky Transient Facility. His work spans multiple areas including gravitational wave counterpart identification, active galactic nuclei variability, supernova characterization, and machine learning applications for transient detection. A notable trend is the integration of artificial intelligence techniques to handle the massive data streams from modern sky surveys, enabling real-time analysis and decision-making that would be impossible with traditional methods. Dr. Graham has been instrumental in developing infrastructure for time-domain astronomy, including the alert distribution system for ZTF and data processing pipelines for handling massive transient datasets. His work on the Catalina Real-time Transient Survey established important methodologies for identifying variable and transient sources that continue to influence the field. As Project Scientist for ZTF, Graham leads a major international collaboration involving Caltech, IPAC, and numerous partner institutions worldwide. The facility represents a significant advancement in time-domain astronomy, providing unprecedented coverage of the dynamic sky and enabling discoveries across multiple areas of astrophysics.

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Dalpat RajpurohitView profile

Assistant Professor

University of Texas at AustinUnited States

Dalpat Rajpurohit is an Assistant Professor at the University of Texas at Austin's College of Liberal Arts, specializing in Hindi language and literature within the College's Asian Studies department. Holding a PhD from Presidency University, Kolkata, he teaches courses exploring South Asian history, religions, and literary traditions through Sanskrit and Hindi texts. Education: PhD in Hindi Literature, Presidency University Affiliations: University of Texas at Austin, Asian Studies, College of Liberal Arts Research: Focuses on pre-modern Hindi/Braj literary intersections with Bhakti, Vedanta, Riti, and colonial language shifts His work challenges simplistic binaries in Hindi literary historiography, demonstrating how early modern Indian poet-saints like Sundardas blended devotional and courtly traditions under Mughal-Rajput multiculturalism. He analyzes how Dādūpanthi saints navigated Jain merchant networks and Mughal imperial policies like sulḥ-i kull while advancing non-dualist Vedanta in Braj poetry. Rajpurohit's research has been recognized with the 30th Devishankar Awasthi Samman and Amar Ujala Best Book Award (2023) . He supervises graduate students in pre-modern Hindi archives, early modern literary networks, and topics like caste, gender, and multilingualism in South Asian literature.

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