Guillaume Hanrot is a Professor at ENS Lyon, affiliated with the LIP laboratory and the Arenaire research group (an INRIA project-team). He serves as Vice-President of INRIA's Evaluation Committee and Deputy Director of the Computer Science Department at ENS Lyon. His research focuses on algorithmic number theory, computer arithmetic (including correct rounding and polynomial approximation), and cryptology, particularly lattice algorithms. He contributed to the development of the MPFR library and the PARI system as free software. Previously, he was a part-time associate professor at École Polytechnique until 2005 and an INRIA researcher at INRIA Nancy Grand Est leading the Cacao project until 2009. His work includes seminal contributions to lattice reduction algorithms, Diophantine equations, and effective methods in number theory. Publications span topics like lattice-based cryptography, floating-point arithmetic, and algorithm optimization. He has edited conference proceedings for RNC'7 and ANTS'9. His academic trajectory includes a PhD from Bordeaux 1 (1997) and an habilitation (2005).
Yoshihisa Miyanishi is an Associate Professor in the Department of Mathematical Sciences at Shinshu University's Faculty of Science. His research focuses on spectral theory, particularly the Neumann-Poincaré operator, global analysis, and their applications in mathematical physics. He has held positions at institutions like Osaka University and The Open University of Japan, and currently serves on the ICIAM2023 Local Scientific Program Committee. His work explores eigenvalue decay rates, spectral structures, and applications in plasmonics and cloaking. Key contributions include studies on Weyl's law for eigenvalues, spectral asymptotics, and operator factorization. Miyanishi teaches courses such as Functional Analysis and Calculus at Shinshu University. He has received grants from Japan Society for the Promotion of Science (JSPS) for projects on spectral analysis and Neumann-Poincaré operators. Recent research highlights include collaborations on CARLEMAN factorization, global analysis of eigenvalues, and geometric spectral properties. His work bridges pure mathematics with applications in physics, emphasizing interdisciplinary approaches.
Isabelle Dubois is a Lecturer at the Université de Lorraine, affiliated with the UFR Mathematics Computer Science Mechanics department. Her research spans algebraic number theory, numeration systems, and mathematics education/outreach. She collaborates with Benoît Rittaud on circular words and has contributed to MATh.en.JEANS workshops promoting investigative learning. Research interests include Galois structures in number fields, numerical representations, and didactic methodologies. Recent work focuses on circular words theory, though publications are pending. She actively engages in science communication through exhibitions, conference presentations, and educational initiatives. Past projects include co-creating the 'Universe of Numbers' exhibition and presenting at the Numeration 2017 conference. Her teaching outreach includes workshops for schools and conferences like the 2023 MeJ event in Mulhouse. No formal grants or awards listed. Advising/mentoring activities not explicitly detailed. Labs/teams: Member of the Analysis and Number Theory research group at IECL (Institut Élie Cartan de Lorraine).
Sir Peter Swinnerton-Dyer was a renowned mathematician and Professor at the University of Cambridge, affiliated with Trinity College as a Fellow. He passed away on December 26, 2018. His academic career was marked by significant contributions to number theory, most famously co-developing the Birch and Swinnerton-Dyer conjecture, a central problem in arithmetic geometry. He was elected to the Academy of Europe as an Ordinary Member in 1989 and held primary residency in the United Kingdom. His honors include Fellowship of the Royal Society (1967), a knighthood (1987), and the Sylvester Medal (2006) for his transformative work in mathematics. Swinnerton-Dyer’s research focused on deep connections between algebraic geometry and number theory, particularly in elliptic curves. An interview detailing his life and work is available online, reflecting his legacy as a pivotal figure in modern mathematics.
Scott MacLachlan is a Professor of Mathematics at Memorial University of Newfoundland. He holds a B.Sc. (Hon.) from the University of British Columbia and a Ph.D. in Applied Mathematics from the University of Colorado at Boulder. Previously, he served as Associate Professor at Tufts University. His research focuses on computational applied mathematics and scientific computation, particularly multigrid methods, finite-element discretizations, and numerical linear algebra. He is an associate editor for the SIAM Journal on Scientific Computing and SIAM Journal on Matrix Analysis and Applications, and co-chairs the program committee for the Copper Mountain Conference on Multigrid Methods. Education: B.Sc. (Hon.) in Mathematics and Computer Science (UBC, 2000), Ph.D. in Applied Mathematics (CU Boulder, 2004). Postdoctoral work at University of Colorado, University of Minnesota, and Delft University of Technology. Research interests include multiscale numerical analysis, PDE-based models in fluid/solid mechanics, and algorithm development for scientific computing. His work integrates functional analysis, numerical linear algebra, and physical modeling. He develops open-source software such as XBraid for parallel time integration and adaptive AMG codes. Publications span multigrid methods, domain decomposition, and liquid crystal simulations. He collaborates on projects involving thermal slip, magnetohydrodynamics, and geophysical electromagnetics. Teaching includes courses on numerical methods for PDEs at both Memorial University and Tufts. Professional activities include editorial roles, conference organization, and contributions to international workshops on multiscale modeling. His software tools and algorithmic innovations address challenges in parallel computing and large-scale simulations.
Robert Whittaker is a Lecturer in Applied Mathematics at the University of East Anglia (UEA), where he holds roles such as Director of Admissions for Mathematics and Y3/4 Teaching Coordinator. His academic journey includes a PhD from the University of Cambridge (2007) and postdoctoral research at the University of Oxford and Nottingham. He specializes in fluid mechanics, focusing on industrial, biological, and geophysical problems, particularly instabilities in elastic-walled tubes and soap film dynamics. **Education**: PhD in Applied Mathematics, University of Cambridge (2002–2006) MA in Mathematics, University of Cambridge (2005) BA (Hons) Mathematics, University of Cambridge (2001) **Research Interests**: His work applies continuum mechanics and asymptotic methods to problems like flow instabilities in blood vessels, tissue engineering, and geophysical convection. Collaborations span fluid-structure interaction and biomedical modeling. Key projects include EPSRC-funded studies on tube oscillations and Starling resistor dynamics. **Awards**: Recognitions include the Mayhew Prize (2002) and Kilby Prize (2001) from Cambridge, and a Fellowship from the Higher Education Academy (2014). **Teaching**: He teaches applied mathematics courses and supervises PhD projects. Current students include Daniel Netherwood and Kraig Wymer-Webb. Former advisees include Neil Deacon and Martin Walters. **Grants & Projects**: Recent grants include an Anglian Water project (2019–2020) on oscillations in elastic tubes and an EPSRC-funded study (2016–2017) on high-frequency instabilities. **Lab/Teams**: Active in the Fluids & Structures research group at UEA and collaborates internationally on applied mathematics problems through workshops and conferences.
Professor Alexander Rashkovskii is a faculty member in the Department of Mathematics and Physics at the University of Stavanger, affiliated with the Faculty of Science and Technology. His research focuses on pluripotential theory, complex analysis, and convex geometry, with particular emphasis on plurisubharmonic functions, Monge-Ampère operators, and Lelong numbers. He has contributed to advancements in interpolation of extremal functions, geodesics in complex geometry, and applications of pluripotential theory to algebraic geometry and signal processing. Key research interests include the study of singularities of plurisubharmonic functions, asymptotic multiplicities in algebraic geometry, and the interplay between convex geometry and complex analysis. His work often bridges theoretical results with applications in areas like mobile sampling and harmonic analysis. Publications span over three decades, with notable contributions in Mathematische Annalen , Journal of Geometric Analysis , and Applied and Computational Harmonic Analysis . Active in international conferences and workshops, including NORDAN meetings and the International Congress of Mathematicians. His research trends reflect a deep engagement with the structure of plurisubharmonic singularities, regularization techniques, and the geometry of complex Monge-Ampère equations. Recent work explores geodesic connectivity and rooftop envelopes in Cegrell classes, advancing the theoretical foundations of pluripotential theory.
Dr. Georges Neaime is a postdoctoral researcher at the Faculty of Mathematics of Universität Bielefeld , where he is part of the research collaborative TRR-358 (Projects A3 and C2). Previously, he held postdoctoral positions at Ruhr-University Bochum and Universität Bielefeld . He earned his Ph.D. from Université de Caen Normandie under the supervision of Professors Eddy Godelle and Ivan Marin. His research focuses on algebraic combinatorics , representation theory , and geometric group theory , with a particular emphasis on reflection groups, braid groups, and Garside theory. Current projects explore elliptic Weyl groups, combinatorial objects in representation theory, and the linearity conjecture for complex braid groups through Hecke algebras and Krammer representations. His publications highlight contributions to interval Garside structures, affine Artin groups, and isomorphism problems in interval groups. His work bridges combinatorial techniques with algebraic structures, often involving Hecke algebras, Brauer algebras, and geometric interpretations. No scientific awards are listed in the provided texts. His research is supported through collaborations within the TRR-358 framework. He is affiliated with the TRR-358 Integral Structures in Geometry and Representation Theory team, focusing on codes/designs and hereditary categories.
Katherine Stange is a Professor of Mathematics at the University of Colorado Boulder. Her research bridges number theory, cryptography, and geometry, with particular focus on elliptic curves, isogeny-based cryptography, and complex dynamical systems. Research explores: Arithmetic dynamics of Apollonian circle packings Isogeny-based post-quantum cryptographic protocols Algebraic structures in computational complexity Mathematical visualization and illustration techniques Recent publications demonstrate increasing focus on computational aspects of algebraic structures, with multiple papers on tensor/group isomorphism problems. Teaching innovations include standards-based grading systems and visual mathematics pedagogy. Awards include the NSF Postdoctoral Fellowship and Dean's Faculty Fellowship. Organizing 2026 trimester program at Institut Henri Poincaré in Paris.
Timothy Huber is a Professor and Director of the School of Mathematical and Statistical Sciences at the University of Texas Rio Grande Valley (UTRGV). He holds a Ph.D. in Mathematics from the University of Illinois at Urbana-Champaign (2007), an M.S. in Pure Mathematics from Northern Illinois University (2000), and a B.S. in Computational Mathematics from the same university (1999). His research focuses on Analytic Number Theory, Special Functions, Combinatorics, Elliptic Functions, q-series, Modular Forms, and Continued Fractions. His work includes groundbreaking contributions to the study of Ramanujan-type congruences, modular forms, and elliptic functions. He has secured over $3 million in grants, leading initiatives to enhance student success and diversify STEM graduate programs. Notable awards include the UT System’s Regents’ Outstanding Teaching Award (2016) and the UTRGV Department Excellence in Faculty Mentoring (2019). Huber’s 15 most recent articles (2024-2014) explore topics like Ramanujan-Sato series, lacunary eta quotients, and applications of modular forms. His research trends emphasize computational approaches to classical number theory problems and interdisciplinary collaborations bridging education and epidemiology. He has advised numerous students, including doctoral candidates and master’s researchers, and co-authored influential books such as Srinivasa Ramanujan: His Life, Legacy, and Mathematical Influence . His leadership roles include directing UTRGV’s first Ph.D. program in the College of Sciences and pioneering accelerated BS/MS pathways. He actively promotes inclusive STEM education through grants and outreach programs.
Diana Savin serves as an Associate Professor in the Department of Mathematics and Computer Science within the Faculty of Mathematics and Computer Science at Transilvania University of Brașov , Romania. Her office is located at Iuliu Maniu street no. 50, Building P, Brașov (500091), with contact email diana.savin@unitbv.ro and phone/fax +40 268 414 016. Her research spans several areas of pure mathematics, with a core focus on Algebraic Number Theory (including algebraic number fields, ramification theory, Diophantine equations, and elliptic curves) and Associative Algebras (quaternion algebras, symbol algebras, and central simple algebras). Additional interests include Combinatorics (special numbers and generating functions), Computational Number Theory , Elementary Number Theory , and Lattices . Analysis of her publications (2011-2021) reveals consistent contributions to algebraic structures in number theory, particularly quaternion and symbol algebras over finite and quadratic fields. Her work appears in high-impact journals including Journal of Algebra and Its Applications , Advances in Applied Clifford Algebras , and Expositiones Mathematicae , demonstrating methodological rigor in solving complex number-theoretic problems.
Florin ISAIA is an Associate Professor at the Department of Mathematics and Computer Science within the Faculty of Mathematics and Computer Science at the Technical University of Braşov. His research focuses on nonlinear analysis, elliptic partial differential equations, integral equations, and Sobolev spaces. He holds an office in Building P, Room PP11, and can be reached via email at florin.isaia@unitbv.ro . His academic work emphasizes theoretical contributions to functional analysis, particularly in the context of superposition operators between Sobolev spaces. Key research topics include the p-Laplacian equations, Faà di Bruno formulas in supercritical and subcritical cases, and generalized Pohožaev identities. He has also explored applications in thermoelasticity and nonlinear dynamical systems, such as the study of cylindrical tubes under torsion and hybrid oscillator models. Florin ISAIA's publications span reputable journals like Nonlinear Analysis , Houston Journal of Mathematics , and Advanced Nonlinear Studies . His work often bridges abstract mathematical analysis with applied problems in structural mechanics and control systems. Leveraging advanced analytical methods, his research addresses critical questions in operator continuity, nonexistence results for certain PDEs, and the interplay between thermal and mechanical stresses in composite materials. He maintains an active profile in the academic community, contributing to the theoretical foundations of nonlinear dynamics and functional spaces.
Prof. Mihai Pascu is a Professor in the Department of Mathematics and Computer Science at the University of Brașov, affiliated with the Faculty of Mathematics and Computer Science. His research focuses on Real and Complex Analysis, Probability Theory, and Stochastic Processes, with interdisciplinary connections to Differential Equations and Potential Theory. He has contributed extensively to operator theory (e.g., Bernstein-Stancu operators) and stochastic processes (e.g., Brownian motion couplings). His work often bridges theoretical mathematics with probabilistic methods, yielding insights into convexity, univalence criteria, and boundary value problems. Publicly accessible through his institutional email and office at Building P, Room P I 6 in Brașov. Research interests span convex analysis , stochastic modeling , and operator approximation theory . Recent publications (2017–2023) highlight advancements in Pólya urn models, error estimates for Bernstein-type operators, and geometric probability. Notably, his work addresses longstanding conjectures like the Hot Spots problem through innovative coupling techniques. The 2017–2023 papers reflect a sustained focus on bridging discrete and continuous stochastic systems, with applications in functional analysis and geometric function theory. Though no formal grants or advisory roles are listed, his prolific publication record (over 50 works since 2000) underscores active engagement in research. No lab affiliations or collaborative teams are explicitly mentioned in the provided texts.
Marius Silaghi is a Professor in the Department of Electrical Engineering and Computer Science at the Florida Institute of Technology (FIT), within the College of Engineering and Science. He leads the Human Decision Systems Support Lab and is affiliated with the IEEE Computational Intelligence Bulletin as an Area Editor. His research focuses on intelligent decision-making systems, privacy-preserving distributed constraint reasoning, cryptographic protocols, robotics, and speech recognition. Silaghi holds a PhD from the Swiss Federal Institute of Technology (EPFL) in 2002. His work spans theoretical advancements in distributed algorithms and their practical applications in areas like secure multi-agent systems, automated planning, and decentralized decision support. Notable contributions include foundational research in Distributed Constraint Optimization Problems (DCOPs), privacy-aware computational frameworks, and robotic autonomy. He has received best paper awards at international conferences such as CIA 2008 and IAT 2007 for innovative approaches in constraint programming and multi-agent systems. Silaghi actively publishes in top venues like AAAI, AAMAS, and IEEE journals, contributing to both theoretical and applied aspects of AI and distributed systems. Research Interests: Silaghi’s work integrates artificial intelligence with distributed systems to address challenges in privacy, security, and coordination. Key areas include: Privacy-Preserving Technologies: Developing algorithms for secure multi-party computation and privacy-aware distributed systems. Robotics and Autonomy: Investigating decision-making frameworks for humanoid robots, including navigation, sensor integration, and human-robot interaction. Cryptography and Security: Designing cryptographic protocols (e.g., S-Box generation) and analyzing vulnerabilities in systems like SIDH ciphers. Constraint Reasoning: Advancing methods for distributed constraint satisfaction and optimization, with applications to auctions, scheduling, and resource allocation. His research emphasizes real-world deployment, from vehicular networks to decentralized decision platforms like DirectDemocracyP2P . Recent Article Trends: Silaghi’s recent work explores Bayesian networks for software testing, probabilistic models for robotics, and privacy-enhanced distributed algorithms. Articles highlight innovations in utility-based privacy frameworks, route optimization under fairness constraints, and trajectory interpolation for autonomous systems. These studies reflect a focus on balancing theoretical rigor with practical impact in AI and robotics. Grants and Labs: Leads the Human Decision Systems Support Lab, which develops tools for group decision-making and deliberation. His lab’s projects include platforms for decentralized petition drives and secure software update mechanisms. While specific grant details are not listed, his work is supported by FIT initiatives and collaborations with institutions like EPFL and the University of Bologna.
Eric A. Carlen is a Distinguished Professor of Mathematics at Rutgers University, specializing in mathematical physics. His faculty position is within the Department of Mathematics where he conducts research at the intersection of functional analysis, probability theory, and mathematical physics. He maintains an active research program with numerous recent publications spanning quantum information theory, statistical mechanics, and partial differential equations. Professor Carlen's research focuses on functional analysis, probability, and mathematical physics, with particular emphasis on problems in non-equilibrium statistical mechanics and variational problems. His work explores geometric inequalities and their applications to physical systems. Recent research directions include: Quantum Markov semigroups and their spectral properties Functional inequalities and their stability Kinetic theory and approach to equilibrium phenomena Quantum information theory and entropy methods Non-equilibrium steady states in boundary-driven systems Analysis of Professor Carlen's recent publications (2023-2025) reveals a strong focus on quantum information theory, particularly quantum Markov processes and entropy inequalities. His work bridges abstract mathematical analysis with applications in statistical mechanics, showing particular interest in hypocoercivity, spectral gaps, and stability of functional inequalities. A significant portion of his recent work connects mathematical analysis with physical applications, especially in non-equilibrium statistical mechanics. Professor Carlen teaches courses in mathematics, including an introduction to the mathematical theory of probability. His office is located in Hill Center 632 at Rutgers University, and he can be contacted at carlen@math.rutgers.edu.
