جستجوی استاد راهنمای دانشگاهی

Isaac M. Goldbringمشاهده پروفایل

استاد

• Model theory
• Nonstandard analysis
• Continuous logic
• +۵ مورد دیگر

Isaac M. Goldbring is a Professor in the Department of Mathematics at the University of California, Irvine (UCI), with a courtesy appointment in the Department of Logic and Philosophy of Science. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2009) and a B.S./M.A. from UCLA (2004). His research spans model theory, operator algebras, and nonstandard analysis, with applications to combinatorics, quantum complexity, and geometric group theory. He is Editor-in-Chief of the Journal of Logic and Analysis and has led major NSF-funded projects, including work on model theory and quantum complexity. Education: Ph.D., Mathematics, University of Illinois at Urbana-Champaign (2009) B.S. & M.A., Mathematics, University of California, Los Angeles (2004) Research interests include continuous model theory, tracial von Neumann algebras, and applications of nonstandard methods to Ramsey theory and combinatorial number theory. He has organized conferences like the 2023 North American Annual Meeting of the Association for Symbolic Logic and delivered keynotes globally, including at the Mathematical Congress of the Americas and Oberwolfach workshops. Scientific awards include the Gerald Sacks Prize (2009) and Robert Sorgenfrey Teaching Award (2012). He advises five current students and has published extensively in top journals like the Annals of Mathematics and Journal of Functional Analysis . His teaching spans advanced topics in logic, analysis, and topology, reflecting his commitment to both research and education. Grants: NSF Grant DMS-2054477 (2021-2024) on Model Theory, Quantum Complexity, and Operator Algebras NSF CAREER Grant (2014-2019) He is part of UCI’s Logic and Foundations group and collaborates internationally with institutions like the Fields Institute and the Banff International Research Station. His work bridges foundational mathematics with cutting-edge areas like quantum information theory and geometric group theory.

Tigran Sedrakyanمشاهده پروفایل

دانشیار

• Theoretical Condensed Matter Physics
• Quantum Spin Liquids
• Topological Order
• +۹ مورد دیگر

Tigran Sedrakyan is an Associate Professor in the Department of Physics at the University of Massachusetts Amherst, affiliated with the College of Natural Sciences. His research focuses on theoretical condensed matter physics, particularly the effects of correlations in many-body systems. He explores exotic quantum phases such as quantum spin liquids, topological paramagnets, and chiral states in systems like quantum magnets, superconductors, and cold atomic gases. His work emphasizes understanding topological order, fractionalization, and unconventional quantum phase transitions beyond conventional symmetry-breaking paradigms. Research interests include: Quantum spin liquids and fractionalized excitations Topological order in 2D and 3D systems Interacting bosons in moat and flat-band lattices Chiral vortex states and Bose-Einstein condensates Disordered systems like magic-angle twisted bilayer graphene He develops theoretical frameworks such as Chern-Simons fermionization and finite-size scaling to probe symmetry-enriched topological phases and quantum criticality. His recent work bridges topological materials with quantum computing applications, including photonic quantum circuits and error-mitigation techniques. Research positions are available for graduate/undergraduate students interested in these topics.

Zhehao Daiمشاهده پروفایل

استادیار

• Condensed Matter Physics
• Quantum Many-Body Systems
• Superconductivity
• +۴ مورد دیگر

Zhehao Dai is an Assistant Professor in the Department of Physics & Astronomy at the University of Pittsburgh, affiliated with the Dietrich School. He holds a Ph.D. in Theoretical Condensed Matter Physics from MIT (2020) and completed a postdoctoral fellowship at UC Berkeley (2020-2024). His research focuses on strongly correlated electron systems, particularly gapless states in materials like high-temperature superconductors and pseudogap metals. He has pioneered novel mathematical and numerical methods using tensor network states to study low-dimensional quantum systems. Research Interests include: Quantum many-body systems and topological phases Pair density waves and superconductivity mechanisms Tensor network state simulations and critical phenomena Photo-induced non-equilibrium phenomena Recent work emphasizes developing isometric tensor network methods for fermionic systems and analyzing quantum Hall heterostructures. His studies bridge theoretical models with experimental observations in cuprates and other strongly correlated materials. Advising & Grants: Currently mentoring early-career researchers in theoretical condensed matter physics. Previous postdoctoral work at Berkeley involved collaborative projects on advanced numerical methods. Labs & Teams: Collaborates with experimental groups on topics like exciton condensate junctions and driven-dissipative systems. Active in the quantum materials theory community.

Michael Joswigمشاهده پروفایل

استاد

• Discrete Geometry
• Tropical Geometry
• Algorithmic Geometry
• +۴ مورد دیگر

Michael Joswig is an Einstein Professor of Discrete Mathematics/Geometry at Technische Universität Berlin and a Max Planck Fellow at the Max Planck Institute for Mathematics in the Sciences, Leipzig. His research focuses on polyhedral, tropical, and algorithmic geometry, optimization, combinatorial topology, and mathematical software development (e.g., polymake and OSCAR). He holds a PhD from the University of Tübingen (1994) and a Habilitation from TU Berlin (2000). His career includes professorial roles at TU Darmstadt and TU Berlin, alongside visiting positions at institutions like the Mathematical Sciences Research Institute in Berkeley. Joswig has authored over 120 publications, supervised numerous PhD students, and led major grants such as the SFB/TRR 195 'Symbolic Tools in Mathematics.' Research interests span geometric algorithms, tropical geometry applications, and software for computational mathematics. Notable awards include the SIAM SIGEST Award (2021) and the MATH Distinguished Fellowship (2023). He co-develops the OSCAR computer algebra system and actively contributes to academic leadership roles, editorial boards, and conference organization. Current projects include tropical mechanism design, approximate convex hulls, and polyhedral geometry in algebraic software systems. His work bridges theoretical mathematics with practical computational tools, impacting fields from optimization to biology.

• Condensed Matter Physics
• Superconductivity
• Superfluidity
• +۴ مورد دیگر

Egor Babaev is a Professor in the Department of Theoretical Physics at KTH Royal Institute of Technology in Stockholm, Sweden. His research focuses on condensed matter theory with an emphasis on superconductivity, superfluidity, topological defects, and quantum phase transitions. He has held faculty positions at KTH since 2006, including Assistant Professor (2006–2008), Associate Professor (2013–2015), and his current role since 2015. He also held a concurrent position at the University of Massachusetts Amherst (2007–2013) and served as a Fellow of the Royal Swedish Academy of Sciences (2008–2014). Education: PhD in Theoretical Physics from Uppsala University (2001). Postdoctoral research at Uppsala University (2001–2003) and Cornell University (2003–2006). Research interests span multicomponent superconductors/superfluids, fractional vortices, skyrmion dynamics, and topological states. Key contributions include the theoretical prediction of type-1.5 superconductivity and the discovery of Borromean supercounterfluids. Selected awards include the 2018 American Physical Society Fellowship, 2015 Göran Gustafsson Prize, and 2010 NSF CAREER Award. His work has been supported by prestigious grants like the Swedish Research Council's Outstanding Young Researcher Award (2013). Advising: Supervised over 20 PhD and Master's students, many of whom have continued to academic/research roles. Active in curriculum development, teaching courses like Condensed Matter Theory (SI2600) and Statistical Mechanics (SI2510). Labs/Teams: Leads a research group exploring quantum matter phenomena, collaborating internationally on projects involving superconductivity, topological materials, and vortex physics.

• Condensed Matter Physics
• Materials Science
• Quantum Phenomena
• +۳ مورد دیگر

Maciej Dendzik is a Researcher at KTH Royal Institute of Technology, affiliated with the Department of Light and Materials Physics within the School of Engineering Sciences. His research focuses on advanced experimental techniques in condensed matter physics, including angle-resolved photoemission spectroscopy (ARPES), ultrafast dynamics, and the study of topological materials, 2D systems, and quantum phenomena. He has contributed to understanding electron-phonon interactions in superconductors, the emergence of Weyl fermions in magnetic materials, and energy transfer mechanisms in nanostructured systems. His work integrates cutting-edge spectroscopic methods with computational tools, such as machine learning for band mapping, to explore electronic structures and dynamics in novel materials. Key areas of investigation include charge density waves in kagome superconductors, ultrafast carrier dynamics in topological insulators like bismuthene, and the development of advanced light sources for time-resolved studies. While no specific awards or grants are explicitly listed, his extensive publication record reflects a commitment to advancing experimental methodologies and unraveling fundamental material properties at the nanoscale. He teaches the Degree Project in Engineering Physics at the undergraduate level, contributing to KTH's educational mission.

Yanqiu Wuمشاهده پروفایل

مدرس

• Machine Learning
• Quantum Machine Learning
• Deep Reinforcement Learning
• +۶ مورد دیگر

Dr. Yanqiu (Autumn) Wu is a Lecturer in Artificial Intelligence at Macquarie University's School of Computing, affiliated with the Data Horizons Research Centre and Frontier AI Research Centre. She holds a PhD from New York University (2022) and a B.S. with Honors from New York University Shanghai (2017). Prior to her current role, she was a CERC Postdoctoral Research Fellow at CSIRO's data61. Her research focuses on Quantum Machine Learning, Markov Decision Processes, off-policy and off-line Deep Reinforcement Learning, and adversarial machine learning. Education: PhD in Computer Science, New York University (2017–2022) Bachelor of Science in Computer Science (Honors), New York University Shanghai (2013–2017) Her research interests emphasize advancing machine learning techniques, particularly in quantum computing and reinforcement learning applications. Notable contributions include work on adversarial robustness in quantum ML and spatio-temporal optimization for ride-hailing systems. Her publications appear in top-tier venues like ICML, NeurIPS, and IMC. She actively reviews for major conferences such as ICML, ICLR, NeurIPS, and IJCAI, and served on the program committee for SecTL 2023. Supervision opportunities are available for PhD/MRes students eligible for scholarships, with a focus on AI and quantum ML. Labs/Teams: Data Horizons Research Centre and Frontier AI Research Centre at Macquarie University.

• Topology
• Mathematical Physics
• Knot Theory
• +۳ مورد دیگر

Prof. dr. R.I. van der Veen is a Professor in the Department of Dynamical Systems, Geometry & Mathematical Physics at the University of Groningen's Faculty of Science and Engineering. His research focuses on knot theory, quantum topology, and algebraic geometry, with notable contributions to Alexander invariants, quantum invariants of knotoids, and the interplay between topology and algebraic structures. He has published extensively in peer-reviewed journals such as Quantum Topology and Communications in Mathematical Physics . Key research areas include the study of character varieties, colored Jones polynomials, and the application of topological methods in molecular biology. His work often bridges theoretical mathematics with computational approaches, as seen in studies like New Quantum Invariants of Planar Knotoids and Polynomial Invariant of Molecular Circuit Topology . Van der Veen has collaborated with institutions globally, contributing to the understanding of cyclic symmetries in Lie algebras and quantization techniques for tangles. His research also extends to popular mathematics, co-authoring a book on the Riemann Hypothesis aimed at broader audiences.

Hyowon Parkمشاهده پروفایل

دانشیار

• Strongly Correlated Materials
• Computational Materials Science
• Density Functional Theory (DFT)
• +۶ مورد دیگر

Hyowon Park is an Associate Professor in the Department of Physics at the University of Illinois Chicago (UIC), part of the College of Liberal Arts and Sciences. His research focuses on strongly correlated materials using computational methods such as Density Functional Theory (DFT) and Dynamical Mean Field Theory (DMFT). He earned his BS in Physics from Pohang University of Science and Technology (2004) and his PhD in Physics from Rutgers University (2011). His work addresses electronic properties like metal-insulator transitions, superconductivity, and topological phases, with applications in material design for advanced technologies. Research interests include computational modeling of correlated materials, development of the open-source DMFTwDFT code, and studying phenomena such as charge density waves and oxygen vacancy effects. His interdisciplinary efforts extend to postharvest physiology, exploring metabolic and storage-related mechanisms in fruits like kiwifruit and onions. These studies combine metabolomics, transcriptomics, and lipidomics to understand storage-induced disorders and optimize preservation techniques. Key contributions include theoretical advancements in nickelates, hydrides, and transition metal oxides, alongside practical applications in food science. His computational tools bridge theory and experiment, enabling insights into material behavior under varying conditions like pressure, doping, and strain.

Raj Kumar Palمشاهده پروفایل

استادیار

• Elastic metamaterials
• Vibrations
• Wave propagation
• +۳ مورد دیگر

Raj Kumar Pal is an Assistant Professor in the Department of Mechanical Engineering at Texas A&M University. His research focuses on elastic metamaterials, wave propagation, and computational mechanics. He holds a Ph.D. in Theoretical and Applied Mechanics from the University of Illinois Urbana-Champaign (2015), an M.E. in Mechanical Engineering from the Indian Institute of Science (2008), and a B.Tech. in Mechanical Engineering from the National Institute of Technology, Trichy (2006). His research interests span topological waveguides, granular media dynamics, and advanced numerical methods like discontinuous Galerkin techniques. He has pioneered studies on bound states in the continuum in architected materials and topological protection of elastic waves in metastructures. His work on moiré lattices and bilayer elastic plates has advanced applications in vibration control and structural health monitoring. Pal has received notable awards including the NSF CAREER Award (2023), AFOSR YIP Award (2023), and Kansas State University’s Outstanding Assistant Professor Award (2023). His research has been published in top journals like Physical Review Applied , New Journal of Physics , and Granular Matter . Current research themes include advection-diffusion flows, pattern formation in lattices, and tensegrity lattice mechanics. He leads a lab exploring mechanical resonators, nonlinear wave phenomena, and granular media mechanics, with applications in imaging and sensing technologies.

Jainendra K Jainمشاهده پروفایل

استاد

• Condensed Matter Physics
• Fractional Quantum Hall Effect
• Composite Fermions
• +۴ مورد دیگر

Jainendra K. Jain is the Evan Pugh University Professor and Erwin W. Müller Professor of Physics at the Pennsylvania State University, holding the Eberly Family Chair. He specializes in condensed matter physics, particularly the fractional quantum Hall effect, composite fermions, and topological phases of matter. His research bridges theoretical and experimental insights, explaining phenomena like the intricate sequence of fractional quantum Hall states through composite fermion theory. Education: Ph.D., Physics (1985), Stony Brook University M.Sc., Physics (1981), Indian Institute of Technology, Kanpur B.Sc. (Honors), Physics (1979), Maharaja College, Jaipur Research Interests: Dr. Jain’s work focuses on strongly correlated electron systems, topological phases, and exotic particles like composite fermions. His composite fermion theory revolutionized understanding of fractional quantum Hall effects, unifying them with integer quantum Hall phenomena. He explores applications in quantum computing and topological materials. Key Contributions and Awards: Recipient of the 2025 Wolf Prize in Physics for advancing understanding of 2D electron systems in magnetic fields. Member of the National Academy of Sciences (2021) and Fellow of the American Academy of Arts and Sciences (2008). Recipient of the Oliver E. Buckley Prize (2002), recognizing his composite fermion model. Grants and Advising: Dr. Jain has led numerous research grants and advised students and postdocs in theoretical condensed matter physics. His work is supported by institutions like the National Science Foundation and international collaborations. Publications: Authored over 200 papers, including monographs like Composite Fermions (2007) and co-edited Fractional Quantum Hall Effects: New Developments (2020). Recent work explores topological superconductivity, graphene-based systems, and novel quantum phases.

• Computer Architecture
• Computer Security
• Quantum Computing
• +۵ مورد دیگر

Assoc Prof Anupam Chattopadhyay is an Associate Professor in the College of Computing & Data Science at Nanyang Technological University (NTU), Singapore. He also holds a courtesy appointment in the School of Physical & Mathematical Sciences. His research focuses on computer architecture, security, design automation, and quantum computing. Anupam received his PhD from RWTH Aachen University in 2008, followed by roles at CoWare R&D and RWTH Aachen as a Junior Professor before joining NTU in 2014. Education: B.E., Jadavpur University, India MSc, ALaRI, Switzerland PhD, RWTH Aachen University, Germany Research Interests: Anupam’s work spans quantum computing, hardware security, AI security, post-quantum cryptography, and emerging technologies. His contributions include novel high-level synthesis techniques for cryptography, reliability estimation flows for embedded processors, and exploration of coarse-grained reconfigurable architectures. His research has been featured in major outlets like The Economist and Asian Scientist. Awards: Borcher's plaque (2008) for outstanding doctoral dissertation Nomination for Best IP Award (ACM/IEEE DATE 2016) Nomination for Best Paper Award (International Conference on VLSI Design 2018) Advising & Grants: Anupam leads a team of over 20 researchers, overseeing projects funded by various grants. He has advised numerous doctoral students and collaborates with institutions like Temasek Labs and the Indian Statistical Institute. Labs & Teams: His research group focuses on advanced topics in secure computing, quantum-resistant systems, and hardware-software co-design, leveraging cutting-edge tools and platforms for next-generation technologies.

Sobhit Singhمشاهده پروفایل

استاد

• Novel Quantum Materials
• Theoretical Condensed Matter Physics
• Density-Functional Theory
• +۵ مورد دیگر

Professor Sobhit Singh is a faculty member in the Department of Mechanical Engineering at the University of Rochester. He earned his PhD in Physics from West Virginia University in 2018 with the prestigious Distinguished Doctoral Scholarship. After a postdoctoral fellowship at Rutgers University, he joined the University of Rochester in 2022. His research focuses on theoretical investigations of novel quantum materials, including polar metals, ferroelectrics, and 2D materials, with an emphasis on understanding structure-property relationships for practical applications. He collaborates extensively with experimentalists to interpret complex material behaviors. Education: B.Sc. (2011) and M.Sc. (2013) in India; PhD in Physics (2018), West Virginia University. Research interests span theoretical condensed matter physics, density-functional theory, magnetism, and superconductivity. His group develops computational tools like MechElastic for analyzing material properties. Key achievements include predicting high-temperature superconductivity in monolayer Mg2B4C2 and uncovering ferroelectric properties in HfO2. His work has been highlighted in Nature Materials and media outlets like EurekAlert!. Notable awards include the Distinguished Doctoral Scholarship. His research group actively explores strain engineering, topological phases, and machine learning for material design.

Radmila Sazdanovicمشاهده پروفایل

دانشیار

• Low-dimensional topology
• Algebraic topology
• Categorification
• +۳ مورد دیگر

Radmila Sazdanovic is an Associate Professor in the Department of Mathematics at North Carolina State University (NC State), part of the College of Sciences. She holds a Ph.D. from George Washington University, where she worked under Jozef Przytycki. Her research focuses on low-dimensional topology, applied algebraic topology, categorification, and their interdisciplinary applications in areas like data science and biomedical engineering. She is affiliated with the Faculty Research Group on Topology, Geometry, and Mathematical Physics. Her expertise spans knot theory, homology theories (Khovanov, chromatic, magnitude), and topological data analysis (TDA). Notable projects include collaborations on vascular network analysis with pulmonary hypertension studies and development of tools like the TAaCGH Suite for cancer genomics. She advises students on interdisciplinary projects, such as topology and fluid dynamics in vascular networks, alongside Dr. Olufsen. Recent work explores data-driven knot theory, torsion in homology, and applications of TDA in biomedical contexts. Her research bridges pure mathematics with applied problems, emphasizing categorification and computational methods. She actively disseminates findings through conferences and publications, contributing to both theoretical and applied advancements in topology.

Pierre Deymierمشاهده پروفایل

استاد

• Topological Acoustics
• Acoustic Metamaterials
• Phononic Crystals
• +۱۲ مورد دیگر

Pierre Deymier is a Professor of Materials Science and Engineering at the University of Arizona, where he also serves as Director of the NSF-funded New Frontiers of Sound Science and Technology Center (NewFoS). He holds affiliations with the BIO5 Institute, the Biomedical Engineering Program, and the Applied Mathematics Graduate Interdisciplinary Program, reflecting his interdisciplinary impact. His educational background includes a PhD in Ceramics with a minor in Mathematics from the Massachusetts Institute of Technology (1985) and an Engineering degree in Materials Science from Université des Sciences et Techniques du Languedoc, France (1982). Deymier's research focuses on the theoretical and computational aspects of materials, particularly in acoustic metamaterials, phononic crystals, topological acoustics, and biomaterials . His work bridges physics, engineering, and applied mathematics to explore how sound can be manipulated for next-generation technologies. He investigates how topological principles can protect acoustic waves from scattering, enabling robust signal transmission for computing, sensing, and telecommunications. The available publications indicate a clear trend toward foundational and transformative work in the emerging science of sound. His books lay the theoretical groundwork for topological acoustics and multiscale computational materials engineering , emphasizing coherence, duality, and integration across disciplines. These works suggest a long-term vision of unifying physical principles across scales and systems. Editor, Phononic Crystals and Acoustic Metamaterials (2013) Co-Editor, Multiscale Paradigms in Integrated Computational Materials Science and Engineering (2015) Author, Sound Topology, Duality, Coherence and Wave-Mixing (2017) Deymier has led major research initiatives, including a $30 million NSF Science and Technology Center grant to establish NewFoS, which supports interdisciplinary collaboration across institutions such as Caltech, UCLA, Georgia Tech, and CUNY. His leadership extends to education and workforce development, with goals to train future scientists in topological acoustics and create accessible educational resources. The center emphasizes broadening participation, mentoring ecosystems, and knowledge transfer to industry and policymakers. He previously served as Head of the Department of Materials Science and Engineering (2011–2021) and Director of the School of Sustainable Engineered Systems (2009–2017), demonstrating sustained institutional leadership. The NewFoS center operates shared multiscale acoustic testing facilities, adheres to FAIR data principles, and actively manages intellectual property to accelerate innovation.