جست‌وجوی استاد و پژوهشگر

Maria Alberich Carramiñanaمشاهده پروفایل

استاد

• Algebraic Geometry
• Singularity Theory
• Geometric and Topological Methods in Robotics
• +۱ مورد دیگر

Maria Alberich Carramiñana is a Full Professor (Catedrática) at the Universitat Politècnica de Catalunya (UPC), Department of Mathematics, affiliated with the Faculty of Mathematics and Statistics. She leads the GEOMVAP research group (Geometry of Varieties and Applications) and is part of the Institut de Robòtica i Informàtica Industrial (CSIC-UPC). Her expertise lies in Algebraic Geometry, Singularity Theory, and their applications to robotics, alongside Mathematics Outreach. She holds a Ph.D. from the Universitat de Barcelona and has held roles including Ramón y Cajal Fellow and Associate Professor at UPC. Roles: Deputy Director at CFIS-UPC, member of the IMAGINARY Committee (RSME). Education: M.Sc. (1994), Ph.D. (2000) in Mathematics from UB. Research focuses on analytic and algebraic singularities, robotic perception and manipulation (e.g., cloth modeling), and geometric-topological methods in robotics. Key projects include Interactions of Geometry with Algebra and Applications and GeomVAP . Awards include Sant Jordi IEC Awards (2022, 2024), Vincent Caselles RSME-BBVA (2022), and supervision of award-winning students (e.g., Guillem Blanco, Franco Coltraro). Grants: Competitively funded projects (e.g., Geometria de Varietats i Aplicacions ) and non-competitive initiatives (e.g., LabORA consolidation). Active collaborations in robotics and algebraic geometry.

• Finite Fields
• Cryptography
• Coding Theory
• +۴ مورد دیگر

Qiang (Steven) Wang is a Professor in the School of Mathematics and Statistics at Carleton University. His academic career spans several decades with a strong focus on finite fields and their applications in cryptography and coding theory. He maintains an active teaching schedule including courses like Abstract Algebra, Rings and Fields, and Fields and Coding Theory. Professor Wang's research interests center on Finite Fields and Applications in Cryptography and Coding Theory, Combinatorics, Algebra and Number Theory. His work particularly focuses on polynomials and functions over finite fields, sequences over finite fields, and applications in Coding Theory and Cryptography. He has made significant contributions to the study of irreducible polynomials, permutation polynomials, primitive polynomials, planar functions, Boolean functions, LFSR and NLFSR sequences, de Bruijn sequences, stream ciphers, pseudorandom generators, and linear complexity. His research bridges theoretical mathematics with practical cryptographic implementations. His extensive publication record shows a consistent and growing research program, with numerous publications in top-tier journals including Designs, Codes and Cryptography, Finite Fields and Their Applications, and Cryptography and Communications. His most recent work (2022-2024) has increasingly focused on compositional inverses of permutation polynomials, stable polynomials, additive codes with few weights, and generalized cyclotomic mappings, while maintaining strong connections to cryptographic applications. Editorial board member of Applicable Algebra in Engineering, Communication and Computing, Springer Editorial board member of Finite Fields and their Applications, Elsevier Professor Wang actively contributes to the academic community through his editorial work and seminar organization. He coordinates the Carleton Finite Fields eSeminar and participates in the Ottawa-Carleton Combinatorics and Optimization Seminar, fostering research collaboration in discrete mathematics and related fields. His teaching portfolio is diverse, covering both undergraduate and graduate courses that reflect his broad expertise across algebraic structures, coding theory, and discrete mathematics.

• Algebra
• Combinatorics
• Representation Theory
• +۲ مورد دیگر

Professor Moon Dong-ho is a Professor in the Department of Mathematics and Statistics at Sejong University, South Korea, holding this position since March 1999. He teaches undergraduate courses including Modern Algebra, Linear Algebra, and Graduation Research and Career, the latter involving direct student advising for 4th-year undergraduates. Education: B.S. in Mathematics, Seoul National University (February 1991) Ph.D. in Mathematics, University of Wisconsin - Madison (May 1998) Research Focus: Professor Moon's work centers on algebraic combinatorics and representation theory , with expertise in Littlewood-Richardson coefficients , tensor invariants , diagram algebras , and combinatorial proofs . His research bridges abstract algebraic structures with discrete combinatorial objects, yielding novel insights into reduction formulas, hive models, and graph-theoretic interpretations of tensor operations. Publication Trends: His 15 most recent publications (2005-2018) demonstrate sustained contributions to combinatorial representation theory. Published in journals like Journal of Algebra and Annals of Combinatorics , his work consistently explores connections between symmetric functions, tensor products, and discrete structures, with recurring emphasis on bijective proofs and algebraic graph theory. Advising: Through the Graduation Research and Career course, Professor Moon provides structured guidance to undergraduate students on research methodologies, thesis development, and career pathways in mathematical sciences. Research Laboratory: He maintains an active research laboratory in Young 309, Yeongsil Hall, serving as the primary workspace for his ongoing investigations in combinatorial algebra.

• Functional Analysis
• Operator Theory
• Holomorphic Functions
• +۶ مورد دیگر

Maria Pilar Rueda Segado is a Professor in the Department of Mathematical Analysis at the Faculty of Mathematics, University of Valencia. She is a leading researcher in functional analysis and operator theory, with a focus on holomorphic functions, polynomials, and multilinear operators in infinite-dimensional spaces. Her work is closely associated with the ESALDI research group. Her research interests lie primarily in Functional Analysis, particularly in the areas of: Weighted spaces of holomorphic functions Summing and dominated multilinear operators and polynomials Isometries in function spaces Factorization of operators and polynomials Spaceability and norm-attaining mappings Tensor norms and operator ideals Her extensive publication record, with over 90 works since 1996, reflects a deep and sustained engagement with core problems in nonlinear functional analysis. Her publications demonstrate a consistent focus on abstract operator theory, functional ideals, and the geometry of Banach spaces, often in collaboration with prominent mathematicians such as Daniel Pellegrino, Enrique Sánchez-Pérez, and Christopher Boyd. She earned her PhD from the University of Valencia in 1997 with a thesis on infinite-dimensional holomorphy under the supervision of Dr. Pablo Galindo Pastor. She has not received any explicitly mentioned scientific awards in the provided text. She has supervised PhD students, though their names are not listed in the provided content. Her research has been supported through institutional and collaborative academic grants, typical of senior faculty in mathematical sciences. She actively collaborates with an international network of researchers in functional analysis. She is a key member of the ESALDI (Spaces and Algebras of differentiable Functions) research group at the University of Valencia, which focuses on advanced topics in functional analysis and differentiable structures in infinite dimensions.

Ewin Tangمشاهده پروفایل

پژوهشگر ارشد

• Quantum Computing
• Machine Learning
• Quantum Algorithms
• +۳ مورد دیگر

Ewin Tang is a Miller Postdoctoral Fellow at the University of California, Berkeley, hosted by Umesh Vazirani. She completed her PhD at the University of Washington under James Lee and earned her undergraduate degree at UT Austin with a thesis advised by Scott Aaronson. Tang specializes in quantum computing and machine learning, focusing on quantum learning theory and dequantized/quantum-inspired algorithms . Her research addresses fundamental questions: How to evaluate quantum computer applications, how to design algorithms for nature simulation, and quantum system engineering feasibility. She has co-authored papers in top conferences including QIP, STOC, FOCS, and SODA, with awards like the QIP 2024 Best Student Paper and UT Austin's Best Undergraduate Thesis. Key research contributions include: Proving entanglement vanishes in high-temperature spin systems Developing quantum-inspired classical algorithms matching quantum performance Advancing Hamiltonian learning techniques Exploring computational complexity in quantum systems Scientific achievements: QIP 2024 Best Student Paper Co-winner of UT Austin Best Undergraduate Thesis Published in Nature Physics and Journal of the ACM

Thomas Stollمشاهده پروفایل

استاد

• Analytic Number Theory
• Combinatorial Number Theory
• Diophantine Equations
• +۸ مورد دیگر

Thomas Stoll is a tenured Professor at the Faculty of Science and Technology , University of Lorraine, Nancy, France. He leads research in Analytic and Combinatorial Number Theory , focusing on Diophantine equations , digital expansions , and sum-of-digits functions . He is affiliated with the IECL (Institut Élie Cartan de Lorraine) and has coordinated ANR-FWF research projects like MuDeRa and ArithRand .

• Polynomial Optimization
• Tensor Approximation
• Big Data Analytics
• +۱ مورد دیگر

Li Wang is an Associate Professor in Mathematics at the University of Texas at Arlington. She holds a Ph.D. from UC San Diego (2014), M.S. from Xi'an Jiaotong University (2009), and B.S. from China University of Mining and Technology (2006). Her research focuses on optimization, data science, and machine learning. Current research includes polynomial optimization methods, low-rank tensor approximations for big data, and structure learning algorithms. She teaches courses in discrete mathematics, optimization, and data science.

Hugo J. Woerdemanمشاهده پروفایل

استاد

• Matrix and Operator Theory
• Systems Theory
• Signal and Image Processing
• +۴ مورد دیگر

Hugo J. Woerdeman is a Professor in the Department of Mathematics at Drexel University, where he has served as Department Head since 2004. He holds a PhD in Mathematics from Vrije Universiteit, Amsterdam (1989), and has held academic positions at institutions including the College of William and Mary and the University of California, San Diego. His research focuses on Matrix and Operator Theory, Systems Theory, Signal Processing, and Quantum Computing. Dr. Woerdeman’s academic contributions include over 100 peer-reviewed articles and four authored books, such as Linear Algebra: What You Need to Know (2021) and Advanced Linear Algebra (2016). He has also edited multiple volumes in operator theory and matrix analysis. His work bridges theoretical mathematics with applications in signal processing, quantum computing, and systems design. He has received prestigious awards including the 1995 Alumni Fellowship Award for Excellence in Teaching and the title of Margaret L. Hamilton Professor of Mathematics. His research collaborations span institutions globally, including École Nationale Supérieure des Techniques Avancées and Princeton University.

Monique Laurentمشاهده پروفایل

استاد

• Combinatorial Optimization
• Semidefinite Programming
• Polynomial Optimization
• +۲ مورد دیگر

Monique Laurent is Professor of Quantitative Microeconomics at Tilburg University and Senior Researcher at CWI Amsterdam. Her research combines discrete mathematics and optimization, focusing on algebraic, combinatorial and geometric methods for algorithm design. Research interests include: Semidefinite programming for combinatorial optimization Approximation algorithms for NP-hard problems Polynomial optimization techniques Matrix factorization ranks Graph theory applications Recent publications develop semidefinite programming approaches for matrix factorization and biclique problems. She leads European research networks including TENORS on tensor optimization. Awards: Khachiyan Prize (2023) EUROPT Fellow (2021) Member of Royal Netherlands Academy (KNAW) SIAM Fellow (2017)

• Adolescent Psychology
• Clinical Psychology
• Developmental Psychology
• +۳ مورد دیگر

Dr. William W. Hale III is an Associate Professor at Utrecht University's Department of Youth and Family within the Faculty of Social and Behavioural Sciences. With a clinical psychology background, his work focuses on adolescent anxiety, depression, and the impact of peer/parental behaviors. He obtained his Ph.D. in Biological Psychiatry (1997) from the University of Groningen and an MA in Clinical Psychology (1993) from Utrecht University. Research Interests: Hale's research examines adolescent mental health through nonverbal behavior analysis, expressed emotion dynamics, and environmental determinants of anxiety/depression. His work spans longitudinal studies on identity formation, parent-adolescent conflict, and cross-cultural psychometric analyses. Scientific Contributions: Recent studies include adolescent anxiety trajectories, separation anxiety in clinical populations, and cultural influences on youth well-being. His publications emphasize parental and peer interactions, self-concept clarity, and DSM-5 anxiety measurement tools. Grants & Collaborations: Hale has secured €100K–€300K grants from ZonMw and NWO, focusing on therapy improvement and developmental pathways. He co-chairs the CONAMORE longitudinal study and has been a visiting professor at the University of Jaen, Spain.

• Number Theory
• Cryptography
• Finite Fields
• +۴ مورد دیگر

Professor Igor Shparlinski is a faculty member at the University of New South Wales (UNSW) within the School of Mathematics & Statistics, holding the rank of Professor with an active research profile as evidenced by publications dated 2025. His work bridges pure number theory and cryptographic applications, maintaining international collaborations with institutions like the University of Sydney and Max Planck Institute. Research interests include: Analytic number theory (exponential/character sums) Cryptographic security (Diffie-Hellman, RSA, and pseudorandom generators) Finite field arithmetic and polynomial dynamics Arithmetic combinatorics and additive number theory Distribution of primes/smooth numbers modulo p Elliptic curve structures over finite fields His publications consistently address foundational problems with computational implications, particularly focusing on sum bounds and modular arithmetic. Recent trends (2023-2025) show intensified work on multilinear character sums, matrix statistics over finite fields, and dynamical system orbits. Key journals include Journal of Number Theory and Finite Fields and their Applications , with frequent co-authorship on exponential sum bounds and cryptographic vulnerabilities. Scientific awards: No awards, prizes, or fellowships are documented in the provided text. Advising and grants: No student listings or grant information appears in the source material. Research output suggests sustained funding but lacks explicit details.

Shubhangi Sarafمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Discrete Mathematics
• Complexity Theory
• +۳ مورد دیگر

Shubhangi Saraf is an Associate Professor in the Department of Computer Science and Mathematics at the University of Toronto. Previously, she held faculty positions at Rutgers University and was a postdoctoral researcher at the Institute for Advanced Study in Princeton. She earned her Ph.D. in EECS from MIT under the supervision of Madhu Sudan. Her research focuses on theoretical computer science and discrete mathematics, with an emphasis on complexity theory, algebraic computation, error-correcting codes, and discrete geometry. Her work has been supported by prestigious grants including the Sloan Research Fellowship, NSF CAREER Award, and Simons Collaboration on Algorithms and Geometry. Teaching highlights include courses such as Computational Complexity and Computability , Algebraic Complexity Theory , and Introduction to Combinatorics . She has advised current students like Deepanshu Kush and Devansh Shringi, and past students including Mrinal Kumar and Ben Lund. Awards and honors include recognition for her contributions to coding theory and complexity analysis. Her research frequently bridges algebraic techniques with computational challenges, yielding impactful results in areas like polynomial identity testing and arithmetic circuit lower bounds. She has led multiple academic initiatives, including special topics courses exploring algebraic gems in theoretical computer science and discrete mathematics. Her interdisciplinary work intersects with cryptography, combinatorics, and algorithm design, reflecting her broad scholarly contributions.

• Probability Theory
• Financial Mathematics
• Stochastic Processes

Paul Eisenberg is an Assistant Professor at the Institute for Statistics and Mathematics at Vienna University of Economics and Business. He holds a doctorate in Mathematics and has held positions at the University of Liverpool, Vienna University of Technology, and Technical University of Dortmund. His research focuses on probability theory and financial mathematics, particularly stochastic processes, term structure modeling, and applications to financial markets. He teaches courses in Probability, Quantitative Methods, and Business Mathematics. Research outputs concentrate on stochastic processes in finance, including term structure modeling, stochastic optimization, market microstructure, and applications to cryptocurrency markets. Recent work shows emphasis on regime-switching models and high-dimensional stochastic systems.

Rainer Dietmannمشاهده پروفایل

استاد

• Number Theory
• Arithmetic Geometry
• Diophantine Approximation
• +۳ مورد دیگر

Rainer Dietmann serves as Professor in the Department of Mathematics at Royal Holloway, University of London, specializing in Number Theory and its intersections with algebraic geometry and arithmetic. His institutional affiliation places him within the university's mathematical sciences division where he maintains active research and teaching responsibilities. His research program centers on deep problems in Number Theory, particularly focusing on Arithmetic Geometry, Diophantine Approximation, Galois Theory, and Quadratic Forms. Dietmann investigates structural properties of polynomial equations, discriminants of number fields, and geometric configurations of rational points on algebraic varieties. His work combines analytic, algebraic, and combinatorial approaches to address fundamental questions about polynomial behavior and Diophantine structures. Analysis of his recent publications reveals consistent engagement with high-impact problems in arithmetic geometry, including van der Waerden's conjecture, discriminant distributions, and rational curves on hypersurfaces. His research demonstrates increasing international collaboration, particularly with leading number theorists across Europe and Asia, while maintaining methodological rigor in both theoretical proofs and computational aspects of number theory. Professor Dietmann has supervised 3 research students and secured significant funding through two major projects: an EPSRC grant for "Forms in many variables" (2011-2012) and a Royal Society grant supporting the "Joint meeting of the Korean and American Mathematical Society" (2009-2010). These projects reflect his leadership in advancing collaborative research in number theory and polynomial arithmetic.

Victor J Milenkovicمشاهده پروفایل

استاد

• Computational Geometry
• Robotics
• Computer-Aided Design (CAD)
• +۳ مورد دیگر

Victor J. Milenkovic is a Professor and Department Chair in the Department of Computer Science at the University of Miami's College of Arts and Sciences. His research focuses on computational geometry, geometric algorithms, and their applications in robotics, computer-aided design (CAD), and high-performance computing. He specializes in developing robust algorithms for handling degenerate cases in geometric computations, free space construction for robotic motion planning, and efficient implementations of geometric operations using modern hardware like GPUs. Key contributions include: Advanced techniques for detecting degenerate predicates in computational geometry GPU-accelerated Minkowski sum computations Robust free space construction for polyhedra Geometric rounding methods for preserving mesh topology His work emphasizes practical implementations with provable correctness and efficiency, validated through applications in CAD, robotics, and HPC environments. No academic awards are explicitly listed in the provided materials. Advising and grants: No student advisees or grant details are provided in the profile. His research has been applied to problems in algorithmic robustness, geometric modeling, and parallel computing. Labs/Teams: No specific lab or team affiliations are mentioned beyond his departmental role.