Bernard GLEYSE is a Lecturer at INSA Rouen, specializing in mathematical engineering with a focus on approximation theory, numerical algorithms, and polynomial analysis. His research explores topics such as localization algorithms, zeros of polynomials, and meromorphic functions. He has supervised doctoral students A. Larabi and B. Gaston (defended in 2007). Teaching focuses on Mathematical Engineering programs. Administrative roles include membership in the CNU (2nd Vice President until 2007), Board of Directors, and CT of INSA Rouen. Collaborations include work with A. Larabi (Algeria). Recent publications emphasize numerical methods for water wave modeling and polynomial root analysis. His work bridges applied mathematics with computational techniques, contributing to both theoretical and engineering applications.
Stefano Barbero is an Assistant Professor at the Department of Mathematics, University of Trento. His research focuses on Number Theory, Algebra, and Combinatorics with applications to p-adic analysis, linear recurrence sequences, and Diophantine approximation. He has contributed to studies on continued fractions in p-adic contexts and algebraic structures of sequences. His work frequently intersects with topics like divisibility sequences, Salem numbers, and combinatorial properties of algebraic structures such as Hurwitz series rings and binomial convolutions. He has collaborated extensively with researchers like Nadir Murru and Umberto Cerruti, producing influential papers in journals like Experimental Mathematics and Mathematics of Computation . Key research directions include exploring periodic representations of quadratic irrationals in p-adic fields, developing matrix-based approximation methods for algebraic irrationalities, and investigating connections between group theory and Pythagorean triples via conic geometries.
Marc Chamberland is a Professor and the Department Chair of Mathematics and Statistics at Grinnell College. He holds the endowed Myra Steele Professorship in Natural Sciences and Mathematics. He received his B.M., M.M., and Ph.D. degrees from the University of Waterloo. His research spans differential equations, number theory, classical analysis, experimental mathematics, discrete dynamics, and combinatorics. Specific interests include the 3x+1 problem, Ducci sequences, the Jacobian Conjecture, and combinatorial identities. With NSF grant support, he has developed materials to integrate computer discovery into mathematics education. Awards: Myra Steele Professor of Natural Sciences and Mathematics (endowed chair) He mentors students in research and collaborates widely, with over 50 publications and 20 co-authors.
Vicente Fco Candela Pomares is an Associate Professor in the Department of Mathematics at the Faculty of Mathematics, University of Valencia, Spain. His academic career has been centered on numerical analysis and computational mathematics, with a focus on iterative methods for nonlinear equations and multiresolution techniques. His research interests lie primarily in Numerical Analysis , especially iterative root-finding methods such as Halley, Chebyshev, and Steffensen-type algorithms. He has contributed significantly to the convergence analysis of these methods, particularly in Banach spaces and for ill-conditioned problems. His work extends to multiresolution analysis , wavelets , and image restoration , where he applies fractional regularization and nonlinear approximation frameworks. The trends in his recent publications show a sustained focus on derivative-free iterative methods , convergence theory , and applications in image processing . His work often bridges theoretical numerical analysis with practical computational challenges. He earned his PhD from the University of Valencia in 1988 under the supervision of Dr. Antonio Marquina Vila, with a thesis on a priori error estimators for iterative methods. He has collaborated extensively with researchers including Sergio Amat, Sonia Busquier, and Rosa Peris. Notable co-authors include Pantaleón D. Romero and Francesc Aràndiga. His publications appear in high-quality journals such as Journal of Computational and Applied Mathematics , Applied Mathematics and Computation , and SIAM journals. He is actively affiliated with the University of Valencia, as evidenced by his institutional email and ongoing publications. There is no indication of part-time status, retirement, or awards in the available data.
Hui Li is a Professor in the Department of Pathology at the University of Virginia Medical School, leading the Li Lab. The lab is dedicated to understanding intergenic splicing mechanisms and their role in cancer development, particularly glioblastoma (GBM). Key research focuses include RNA trans-splicing, cis-Splicing of Adjacent Genes (cis-SAGe), and the discovery of the AVIL gene as a critical oncogene in GBM. The lab's work challenges traditional views on gene interaction and aims to develop targeted therapies with minimal side effects. Supported by the Funds for Excellence in Science and Technology and the IVY Foundation Biomedical Innovation, the lab collaborates with institutions like Vanderbilt University for brain donation studies. Dr. Li actively engages with patients and families, addressing concerns about genetic predisposition and clinical trial updates. The lab also explores drug development pipelines targeting AVIL and evaluates compounds from external partnerships, such as Rokit Pharma’s lead GBM drug. Dr. Li’s research spans oncogene addiction in pediatric and breast cancers, with a focus on translational medicine. The lab’s findings are disseminated through publications and updates on the UVA website. Email contact is available at hui.li@virginia.edu .
Aaron Melman is an Associate Professor and Chair of the Department of Applied Mathematics at the School of Engineering, Santa Clara University. He holds a Ph.D. in Applied Mathematics from the California Institute of Technology (Caltech) and an M.Sc. from the Technion (Israel Institute of Technology). His research focuses on applied mathematics, with primary interests in linear algebra, numerical analysis, matrix theory, polynomial equations, and computational algorithms for root-finding and eigenvalue estimation. His work frequently explores theoretical bounds and efficient numerical techniques for solving complex mathematical problems. Melman's extensive publication record includes over 70 articles, with recent works concentrated on matrix polynomials, eigenvalue localization, and polynomial zero exclusion theorems. His research demonstrates a consistent emphasis on refining classical mathematical theorems and developing practical computational frameworks.
