جست‌وجوی استاد و پژوهشگر

Konpal Aliمشاهده پروفایل

استادیار

• Wireless Communications
• 5G/6G Networks
• Stochastic Geometry
• +۵ مورد دیگر

Konpal Ali serves as an Assistant Professor in the Division of Engineering & Mathematics within the School of Science, Technology, Engineering & Mathematics at the University of Washington Bothell. Her office is located in UW2-323 and she can be reached at ksali@uw.edu. Education Background: Ph.D. and M.S. in Electrical Engineering from King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia B.S. in Electrical Engineering from Lahore University of Management Sciences (LUMS), Lahore, Pakistan Research Focus: Dr. Ali specializes in wireless communication systems with emphasis on physical layer design. Her work employs stochastic geometry to model large-scale wireless networks for real-world deployment scenarios. Key research thrusts include 5G/6G enabling technologies such as device-to-device communication, full duplex systems, non-orthogonal multiple access (NOMA), and intelligent reflecting surfaces (IRS). She actively investigates integrated sensing and communication (ISAC) frameworks, physical layer security mechanisms in interference-correlated environments, and machine learning applications for resource allocation optimization. Her recent publications explore meta distribution analysis to characterize percentile-level performance metrics in next-generation wireless networks. Teaching Responsibilities: Dr. Ali instructs core electrical engineering courses including EE 341A (Discrete Time Linear Systems), EE 517A (Wireless Communications I), EE 235A (Continuous Time Linear Systems), and EE 518A (Wireless Communications II), covering both undergraduate and graduate curricula. Professional Background: Prior to her faculty appointment, she completed postdoctoral research at the University of Manitoba and New York University (NYU) Abu Dhabi, building expertise in wireless network modeling and performance analysis.

Brett J. Borghettiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۱۲ مورد دیگر

Dr. Brett J. Borghetti is a Professor of Computer Science in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), Graduate School of Engineering and Management, Wright-Patterson AFB, OH. He was promoted to Professor in July 2022, following prior appointments as Associate Professor (2017) and Assistant Professor (2008/2013). His expertise lies in artificial intelligence, machine learning, deep learning, cybersecurity, and human-machine teaming. Education: Ph.D. in Computer Science, University of Minnesota, Twin Cities (2008) M.S. in Computer Systems, Air Force Institute of Technology (1996) B.S. in Electrical Engineering, Worcester Polytechnic Institute (1992) Dr. Borghetti's research focuses on applying machine learning to physical science sensors (hyperspectral, seismic, RF), cybersecurity, and enhancing human-machine team performance. He teaches graduate courses in machine learning, AI, data security, and algorithm design, and advises numerous MS and PhD students in areas such as sensor exploitation, cognitive workload, and cyber situational awareness. His recent publications demonstrate strong trends in deep learning for multimodal sensor fusion, nuclear security, and neuroergonomics. Scientific Awards: AETC Educator of the Year (2021, Civilian) AFIT Ezra Kotcher Teaching Award (2021) AFIT Teaching Excellence Award (2019) AF STEM Outstanding Science and Educator Award (2015) Multiple Eta Kappa Nu Outstanding Instructor Awards Air Force Meritorious Service Medal and other military honors Dr. Borghetti has advised numerous graduate students and led research projects with significant funding and applications in defense and national security. He has directed research in AI-driven sensor analysis, cyber defense systems, and adaptive automation. His work often involves collaboration with national labs and DoD agencies. He has contributed to major research initiatives in human factors, cyber intruder detection, and machine learning for operational environments. Labs and Research Teams: His work is associated with AFIT's research in cyber security, sensor exploitation, and human-machine systems. He collaborates with teams working on the Cyber Intruder Alert Testbed (CIAT), neuroergonomic modeling, and machine learning for defense applications.

Melanie Matchett Woodمشاهده پروفایل

استاد

• Number Theory
• Arithmetic Statistics
• Arithmetic Geometry
• +۵ مورد دیگر

Melanie Matchett Wood is the William Caspar Graustein Professor of Mathematics at Harvard University. Her research spans number theory, arithmetic statistics, algebraic geometry, and probability theory, with a focus on distributions of class groups, Galois groups of unramified extensions, and random algebraic structures. She has been supported by prestigious awards including the Packard Fellowship, the NSF Waterman Award, and the MacArthur Fellowship. Her work connects number theory to topology through function field analogs, studying moduli spaces of curves and their statistical properties. She has made significant contributions to understanding the universality of random matrix cokernels and their applications to sandpile groups of graphs. Her editorial roles include the Journal of the American Mathematical Society and Algebra and Number Theory . Recent publications emphasize arithmetic topology, proving universality theorems for 3-manifold groups, and developing new heuristics for class group torsion. She organizes seminars on arithmetic statistics and topology-number theory interactions. Her teaching includes advanced courses like Algebraic Number Theory and Class Field Theory, with research supervision spanning PhD and undergraduate projects. Scientific Awards: Packard Fellowship for Science and Engineering National Science Foundation Waterman Award MacArthur Fellowship

Marie-Colette van Lieshoutمشاهده پروفایل

استاد

• Stochastic Geometry
• Spatial Statistics
• Image Analysis
• +۶ مورد دیگر

Marie-Colette van Lieshout is a Professor of Spatial Stochastics at the Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, and a Scientific Staff Member in the Stochastics group at Centrum Wiskunde & Informatica (CWI), Amsterdam. She has been active in research since 1997 and is a leading expert in stochastic geometry, spatial statistics, and image analysis. Her educational and professional background includes positions at the University of Warwick and the Free University Amsterdam. She is currently engaged in advanced research on point processes, random fields, and tessellation models, with applications in seismic hazard, fire risk, and machine learning. Her research interests include: Stochastic Geometry Spatial Statistics Image Analysis Point Process Modeling Seismic Risk Assessment Machine Learning for Spatial Data Her recent publications (2023–2025) focus on spatial intensity estimation, marked point processes, and data-driven risk modeling, showing a strong integration of classical spatial statistics with modern computational and machine learning techniques. Key themes include adaptive kernel smoothing, infill asymptotics, and applications in environmental and public safety domains. She has received significant recognition, including: Elected Fellow, International Statistical Institute (ISI) She has been awarded multiple research grants from NWO and other agencies, including the KLEIN grant for fire risk management and the DeepNL grant for seismicity prediction in Groningen. She has supervised or collaborated with researchers such as C. Lu, Z. Baki, and R. Markwitz. She is also active in academic service, serving on editorial boards (e.g., Methodology and Computing in Applied Probability), advisory boards (InHolland University), and councils of learned societies (Bernoulli Society, KWG). She leads and participates in research clusters such as STAR and contributes to outreach and education through courses and public lectures on earthquake modeling and spatial statistics.

David Tseمشاهده پروفایل

استاد

• Information Theory
• Wireless Communication
• Networking
• +۳ مورد دیگر

David Tse is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (1994) and a B.A.Sc. in Systems Design Engineering from the University of Waterloo (1989). Education: B.A.Sc., Systems Design Engineering, University of Waterloo (1989) M.S., Electrical Engineering, MIT (1991) Ph.D., Electrical Engineering, MIT (1994) His research focuses on information theory , wireless communications , and networking , particularly on fundamental limits of communication systems, diversity-multiplexing tradeoffs, and capacity scaling in wireless networks. Selected work includes groundbreaking studies on MIMO channels , cooperative diversity , and spectrum sharing . Recent publications (2003–2007) analyze channel coherence, network capacity, and diversity-embedded coding, reflecting his emphasis on theoretical foundations of wireless communication. Key themes include fading channels, network optimization, and mathematical modeling using percolation theory and signal space approaches. Scientific Awards: IEEE Richard W. Hamming Medal (2019) National Academy of Engineering Member (2018) IEEE Information Theory Society Shannon Award (2017) IEEE Joint Paper Awards (2015, 2000, 2003) INFORMS Erlang Prize (2000) NSF CAREER Awards (1998) Okawa Research Grant (1997)

Martin Olssonمشاهده پروفایل

استاد

• Algebraic Geometry
• Arithmetic Geometry
• K3 Surfaces
• +۷ مورد دیگر

Martin Olsson is a Professor in the Department of Mathematics at the University of California, Berkeley , where he has been a faculty member since 2006. He currently serves as the Department Chair and is affiliated with the Simons Collaboration on Perfection in Algebra, Geometry, and Topology . His research focuses on Algebraic Geometry and Arithmetic Geometry , exploring topics such as K3 surfaces , abelian varieties , Brauer groups , motives , and moduli spaces . He has supervised numerous PhD theses on advanced topics in these fields. Martin Olsson's work is funded by the National Science Foundation , including FRG grant 2151946 and RTG grant 1646385. He has mentored students including Roy Zhao, Ravi Fernando, Michael Christianson, and others, with theses spanning 2009–2023.

• Geometric Methods in Mathematical Physics
• Differential Geometry
• Multisymplectic Geometry
• +۴ مورد دیگر

Tilmann Wurzbacher is a Professor at the University of Lorraine, affiliated with the Department of Mathematics, Computer Science, and Mechanics. His research focuses on geometric methods in mathematical physics, including multisymplectic geometry, supermanifolds, complex Kähler manifolds, and infinite-dimensional analysis. He has contributed to the development of multisymplectic structures for classical field theories and collaborates on foundational questions in supergeometry. His recent publications emphasize multisymplectic geometry, supermanifolds, and infinite-dimensional structures, with applications to geometric quantization, conservation laws, and Hamiltonian systems. He has co-authored works on co-moments, Lagrangian submanifolds, and singular superspaces. Wurzbacher actively organizes seminars and workshops, including the weekly LieGA seminar and international workshops on multisymplectic geometry. He participates in CNRS-funded networks such as the 80Prime Project "GraNum" and the GDGR "GDM".

Camillo De Lellisمشاهده پروفایل

استاد

• Geometry
• Analysis
• Calculus of Variations
• +۳ مورد دیگر

Camillo De Lellis is the IBM von Neumann Professor at the School of Mathematics , Institute for Advanced Study (since 2019). Previously, he was a Full Professor at the University of Zürich (2005–2018) and held positions at ETH Zürich, Max Planck Institute, and University of Zürich. Education : PhD in Mathematics (2002), Scuola Normale Superiore di Pisa ; Laurea in Mathematics (1999), University of Pisa . His research lies at the intersection of Geometry , Analysis , and Partial Differential Equations , with groundbreaking work in geometric measure theory , fluid dynamics , and calculus of variations . Recent publications focus on Euler/Navier-Stokes equations , area-minimizing currents , and free boundary problems . Key trends in his work include nonuniqueness phenomena in fluid dynamics, fine structure of singularities in geometric measure theory, and rectifiability criteria for varifolds and currents. His research bridges pure and applied mathematics, impacting mathematical physics and continuum mechanics. Scientific Awards : Bôcher Memorial Prize (2020) Feltrinelli Prize in Mathematics, Mechanics and Applications (2021) Maryam Mirzakhani Prize (2022) Caccioppoli Prize (2014), Amerio Prize (2015) He serves on editorial boards for Annals of PDE , Inventiones Mathematicae , and Journal of Differential Geometry . No students or lab affiliations are explicitly mentioned in the scraped text.

Henning Schomerusمشاهده پروفایل

استاد

• Quantum Transport
• Topological Photonics
• Quantum Chaos
• +۵ مورد دیگر

Professor Henning Schomerus is a leading theoretical physicist at Lancaster University , specializing in condensed matter theory with a focus on quantum systems. His research spans topological photonics , non-Hermitian physics , quantum chaos , and mesoscopic transport . He leads the Theory Group and contributes to the Physics Strategy Committee . Education: Dr rer. nat. (University of Essen, 1997) Dipl. Phys. (University of Stuttgart, 1993) Research Interests include: Quantum transport in graphene and topological insulators , exploring disorder effects and quantum pumping Topological lasers and non-Hermitian photonic systems with combined amplification/absorption Quantum chaos and fractal Weyl laws in open systems Many-body localization and quantum noise phenomena Scientific Awards Senior Fellow of the Higher Education Academy (SFHEA) Fellow of the Institute of Physics (FInstP) Studenstiftung des Deutschen Volkes Scholarship JSPS Invitational Fellowship DFG Forschergruppe 760 Fellow Teaching encompasses advanced topics in Quantum Mechanics and Quantum Information Processing , with over 15 years of experience in undergraduate and postgraduate instruction.

• Solid State Physics
• Quantum Mechanics
• Analytical Mechanics
• +۷ مورد دیگر

Matti Selg is an Associate Professor at the Institute of Physics within the Faculty of Science and Technology at the University of Tartu, Estonia. He has been actively teaching graduate courses in Quantum Mechanics, Analytical Mechanics, and Mathematical Physics since 2009, with increasing responsibility over the years. Currently, he oversees the entire teaching of three mandatory courses: Master's Course in Quantum Mechanics, Analytical Mechanics, and Theory of Complex Variables. Dr. Selg completed his education at the University of Tartu, earning a diploma in physics. He received his Doctor's Degree in 1981 from the University of Tartu with a dissertation titled "Relaxation and hot luminescence of self-trapped excitons in rare gas crystals," supervised by Vladimir Hižnjakov and Rein Kink. His additional qualification includes a PhD in solid state physics from the Institute of Physics of the Estonian Academy of Sciences. Professor Selg's research spans several interconnected areas of theoretical physics. His primary interests include quantum mechanics, particularly scattering theory and inverse problems, as evidenced by his numerous publications and textbooks on quantum scattering. He has made significant contributions to the understanding of reflectionless potentials and the Marchenko equation. More recently, he has focused on classical mechanics problems, particularly exploring Binet's equation and its connections to Newtonian and Einsteinian gravity theories, as well as revisiting historical problems like Galileo's swiftest descent problem. His work bridges mathematical physics with practical applications in molecular and solid-state physics. Analysis of his recent publications reveals a clear trajectory from quantum scattering theory toward classical mechanics and historical physics problems. While maintaining his expertise in quantum systems, particularly with hydrogen molecules and diatomic systems, he has expanded into historical and mathematical analyses of foundational physics concepts. His 2023-2025 publications show a particular focus on exact solutions to classical mechanics problems and their connections to modern gravitational theory. Dr. Selg has served in several administrative roles, including as a member of the Science Council of the Institute of Physics at the University of Tartu since 2001 and as a member of the Expert Commission for Exact Sciences of the Estonian Science Foundation (2003-2006). He has successfully led research projects funded by the Estonian Science Foundation, including studies on excimers in rare gases and their crystals. As an educator, Professor Selg has developed and taught advanced courses that integrate deep theoretical concepts with practical applications. His textbooks on quantum scattering theory demonstrate his commitment to making complex topics accessible to students. His recent work on the mathematical and physical perspectives of foundational problems suggests an evolving research program that connects historical scientific developments with contemporary theoretical challenges.

• Topology of Complex Systems
• Higher-order Networks
• Topological Neuroscience
• +۷ مورد دیگر

Giovanni Petri is a Professor in the Network Science Institute at Northeastern University London, where he joined in June 2023. Previously, he held positions at CENTAI as a Principal Researcher and at IMT Lucca as a Guest Scholar, with earlier affiliations at ISI Foundation and Imperial College London. His educational background includes a PhD in Complex Networks from Imperial College London (2012), an MSc in Theoretical Physics from the University of Pisa (2008), and a BSc in Physics from the University of Pisa (2005). Petri's research spans the analysis of neuroimaging data and AI systems with topological techniques, the formalization of cognitive control models with tools of statistical mechanics and network theory, and the study of the predictability of socio-technical systems. His work in Topological Neuroscience explores brain architecture using algebraic topology, while his research in Cognitive Neuroscience focuses on neural mechanisms underlying human cognition. He is particularly known for his work on higher-order networks, using mathematical frameworks like hypergraphs and simplicial complexes to model systems with multi-way interactions. His recent publications (2023-2025) demonstrate a strong focus on higher-order network theory applied to neuroscience, with particular emphasis on topological approaches to brain connectivity, social contagion models, and the physics of complex systems. These works reveal consistent themes in understanding how multi-body interactions shape system dynamics across biological, social, and technological domains. European Research Council Consolidator Grant (RUNES: Reconstruction and unification of neural and ecological systems, 2024) As Principal Investigator of the NPLab, Petri advises numerous PhD and postdoctoral researchers including Marilyn Gatica, Andrea Santoro, and Simone Poetto. His RUNES project, funded by the ERC Consolidator Grant, represents a significant research initiative. The lab maintains active collaborations with CENTAI, Project CETI (Cetacean Translation Initiative), and various international institutions. The NPLab investigates the role of topology and geometry in the collective dynamics of complex systems, ranging from neuroscience to society, using statistical mechanics, algebraic topology, and innovative computational approaches. Current projects include Topological Neuroscience, Cognitive Neuroscience, Higher-order Networks, Project CETI, and RUNES.

Vitali Kapovitchمشاهده پروفایل

استاد

• Algebraic Geometry
• Differential Geometry
• Metric Geometry
• +۳ مورد دیگر

Vitali Kapovitch is a Professor in the Department of Mathematics at the University of Toronto , Faculty of Arts and Science. His research focuses on Algebraic and Differential Geometry , Metric Geometry , and Fractal Geometry , with a strong emphasis on global Riemannian geometry and convergence with lower curvature bounds . His recent publications (2023–2007) investigate topics such as Alexandrov spaces , RCD spaces , submetries , and noncollapsed manifolds . These works often address rigidity phenomena, curvature bounds, and geometric flows. Kapovitch is available for Masters or PhD student supervision and teaches advanced courses like Comparison Geometry and Topology I .

Yu Yangمشاهده پروفایل

مدرس

• Algebraic Geometry
• Arithmetic Geometry
• Anabelian Geometry
• +۳ مورد دیگر

Yu Yang is a Project Lecturer at the Research Institute for Mathematical Sciences (RIMS) , Kyoto University , Japan. He works in algebraic and arithmetic geometry , with a focus on curves and their moduli spaces in positive characteristic , using fundamental groups to study anabelian phenomena. His research is supported by JSPS KAKENHI grants. Education : PhD from RIMS, Kyoto University (2017), supervised by Shinichi Mochizuki . Research Interests : Yang's work centers on anabelian geometry in positive characteristic, exploring the interplay between topological/combinatorial structures of curves and their fundamental groups. He developed a theory of moduli spaces of fundamental groups to unify anabelian phenomena, inspired by Tamagawa's finiteness theorem. His methods combine algebraic geometry, group theory, and moduli space analysis. Article Trends : His publications and preprints emphasize moduli spaces of fundamental groups, tame/semi-stable reductions, Hasse-Witt invariants, and combinatorial approaches to anabelian geometry. Collaborations include work with Zhi Hu and Runhong Zong on moduli spaces and topology. Grants : Funded by JSPS KAKENHI grants 16J08847 , 20K14283 , and 24K16896 (since April 2024). Conferences : Co-organized the Fundamental groups: Geometry and Arithmetic workshop (2019) and multiple Kyoto+ Workshops with international participants. Teaching : Lecturer roles at Doshisha University (Algebraic Structures), Kyoto Institute of Technology (Linear Algebra), and Sennan University (Mathematical Foundations).

Joel M. Cohenمشاهده پروفایل

استاد

• Mathematics
• Algebraic Topology
• Harmonic Analysis
• +۴ مورد دیگر

Joel M. Cohen is a Professor of Mathematics at the University of Maryland, College Park. He specializes in Algebraic Topology , Harmonic Analysis , and Functional Analysis , with a focus on Operator Theory and Differential Equations on Trees . His work bridges abstract mathematical theory with applications in Mathematical Physics and Geometric Analysis . His recent publications include studies on Carleson measures, harmonic structures on trees, and the Radon transform. He has received the 2006 Lester R. Ford award for his article in the American Mathematical Monthly. Key Collaborators: Flavia Colonna, David Singman, Massimo Picardello Courses Taught: Math 136 (Calculus for Life Sciences), Math 734 (Algebraic Topology) Cohen has served in various academic roles, including Former Member of the University Senate and Founding Member of the Coalition on Intercollegiate Athletics . His research has been published in journals such as Ann. Inst. Fourier Grenoble, American Journal of Mathematics, and Advances in Applied Mathematics.

Leon Balentsمشاهده پروفایل

استاد

• Quantum Physics of Materials
• Condensed Matter Theory
• Magnetism
• +۶ مورد دیگر

Leon Balents is a Professor at the Kavli Institute for Theoretical Physics (KITP) and holds the Yzurdiaga Chair of Theoretical Physics at the University of California Santa Barbara (UCSB). He is a leading theoretical physicist in quantum materials, with affiliations including co-director of the CIFAR Quantum Materials program, a Fellow of the American Physical Society, a member of the American Academy of Arts and Sciences, and the National Academy of Sciences. His work bridges theory and experiment in condensed matter physics, focusing on systems like quantum spin chains, twisted bilayer graphene, and magnetic 2D materials. Bachelor’s in Physics and Mathematics, MIT PhD in Physics, Harvard University (1994) Dr. Balents is renowned for pioneering the theory of Coulomb interactions in quantum wires, discovering 3D topological insulators, and establishing Weyl semimetals. His research spans quantum spin liquids, topological spintronics, Van der Waals materials, and non-equilibrium probes of quantum systems. He collaborates extensively with experimentalists at UCSB, including Stephen Wilson, Susanne Stemmer, and Andrea Young, and leads efforts in the UCSB Quantum Foundry and the Simons Collaboration on Ultra-Quantum Matter. Scientific Awards and Honors : Fellow, American Physical Society Member, American Academy of Arts and Sciences Member, National Academy of Sciences Co-Director, CIFAR Quantum Materials Program Students and Collaborators : Kasra Hejazi, Chunxiao Liu, Mitchell Bordelon, and postdocs like Wenjie Ji and Jong Yeon Lee contribute to his group’s work. He teaches graduate-level condensed matter physics and leads virtual workshops on quantum materials. His GitHub projects, including a covidSB repository , reflect his interdisciplinary interests beyond physics.