جست‌وجوی استاد و پژوهشگر

Marc Fredetteمشاهده پروفایل

استاد

• Analysis of longitudinal data
• Prediction
• Biostatistics
• +۷ مورد دیگر

Marc Fredette is a Professor in the Department of Decision Sciences at HEC Montréal. His roles include academic supervision of the Master of Science (MSc) - User Experience in a Business Context and the Short Graduate Program in User Experience. He is also a board member of Tech3Lab, a member of CIRRELT (Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation), and GERAD (Group for Research in Decision Analysis). Education: M.Sc. in Statistics from Université de Montréal and Ph.D. in Statistics from the University of Waterloo. Research interests focus on longitudinal data analysis, biostatistics, Bayesian statistics, and random effects models. His work also explores human factors, UX design, and neuroIS applications, including studies on pedestrian safety, multitasking with IT systems, gamification, and neurophysiological correlates of collaborative tasks. Recent publications emphasize IT-related multitasking effects, gamification in workplaces, and neurophysiological studies of collaborative tasks. He has been recognized for contributions to UX evaluation methodologies and neuroIS research. Supervision includes 3 PhD dissertations and 7 MSc theses, along with 18 supervised projects on data analysis and business applications. His teaching includes courses on database analysis and project-based data analysis. Labs/Teams: Active in Tech3Lab, CIRRELT, and GERAD, focusing on interdisciplinary research in decision sciences and user experience innovation.

Aurélie Bayen-Poissonمشاهده پروفایل

استاد

• Political History
• Sociology of the Internet in China
• Sociolinguistics
• +۴ مورد دیگر

Aurélie Bayen-Poisson is a tenured Professor and researcher in sociology and sinology at the Catholic University of the West (UCO), based in French Polynesia. She holds dual affiliations with UCO’s Research Laboratory on Psychological and Social Processes (2PS) and the China, Korea, Japan laboratory (CCJ/UMR 8173/EHESS Paris). Her roles include academic leadership as an educational manager for social sciences programs and international educational coordination on UCO’s Papeete campus. Her research focuses on Chinese political history, digital governance, Pacific geopolitics, and sociolinguistics of minority languages in French Polynesia. Key projects include analyzing China’s strategic influence in Oceania, the evolution of Mandarin/Hakka language dynamics, and sustainable governance frameworks for marine resources. She actively collaborates on transnational initiatives like the Coastwatchers 2.0 project studying Chinese interference in the Pacific. Recent publications examine sharp power tactics in Palau, Taiwan’s civic tech models, and French Polynesia’s role in the Indo-Pacific strategic landscape. Her work bridges academic research with policy impact through projects like the Loï Kong Hakka Vah language manual and the Encyclopedia of the Anthropocene as associate editor.

Guillaume Charpiatمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Computer Vision
• +۸ مورد دیگر

Guillaume Charpiat is a Research Officer at INRIA Saclay and Head of the Data Science department at the LISN laboratory (Paris-Saclay University). He holds a PhD in computer vision from the École Polytechnique (2006), conducted under Olivier Faugeras and Renaud Keriven. His postdoctoral research at the Max Planck Institute for Biological Cybernetics focused on statistical learning. He joined the TAO/TAU team in 2015, specializing in machine learning and optimization. His research spans deep learning theory, neural networks, and applications in satellite imagery, genetics, fluid dynamics, and medical imaging. Education: PhD in Computer Vision (École Polytechnique, 2006), Postdoc in Statistical Learning (Max Planck Institute). Teaching includes advanced deep learning courses at MVA/CentraleSupélec and AI master's programs. Research interests emphasize neural architecture design, generative models, and interdisciplinary applications. His work bridges machine learning with physics and biology, addressing challenges like dynamical systems modeling and population genetics inference. Key contributions include neural architecture growth strategies, equivariant GNNs for materials science, and deep learning frameworks for genomic data. Advised over 20 students across PhD and master's levels, focusing on topics like neural networks, causal discovery, and generative models. Active in seminars and interdisciplinary collaborations, he co-leads the TAU team's research on machine learning and optimization.

Felix Luis Belzunce Torregrosaمشاهده پروفایل

استاد

• Probability Theory
• Statistics
• Operations Research
• +۳ مورد دیگر

Félix Belzunce Torregrosa is a Full Professor at the University of Murcia, affiliated with the Department of Statistics and Operational Research within the Faculty of Mathematics. He earned his doctorate from the University of Murcia in 1996 with a thesis on 'Ordering in Dispersion and Concentration of Truncated Distributions.' His research focuses on stochastic orders, reliability theory, actuarial science, and multivariate analysis. He has co-authored over 70 publications in top-tier journals such as Statistics & Probability Letters and Probability in the Engineering and Informational Sciences . Notable contributions include foundational work on stochastic comparisons, hazard rate ordering, and applications of stochastic orders in risk assessment. He has collaborated extensively with researchers like José-María Ruiz, Carolina Martínez-Riquelme, and Franco Pellerey. His work bridges theoretical probability with practical applications in finance, engineering, and actuarial science. Belzunce has led research groups such as 'Characterization, Ordering and Classification of Distributions,' and his studies on multivariate mixture models and nonhomogeneous processes have influenced reliability engineering and insurance mathematics. He has also contributed to developing methodologies for analyzing dependent random variables and optimizing maintenance policies in systems engineering.

Albert Shiryaevمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Statistics
• Stochastic Processes
• +۳ مورد دیگر

Albert Shiryaev is a leading Russian mathematician currently serving as Professor and Head of the Probability Theory Department at the Moscow State University , Faculty of Mechanics and Mathematics. He has been affiliated with the Steklov Mathematical Institute since 1957 and was a member of the Russian Academy of Sciences (Correspondent member since 1997). Research Interests: A pioneer in probability theory and mathematical statistics , his work focuses on stochastic processes , optimal stopping , sequential analysis , and financial mathematics . His publications span over 170 scientific papers and 9 monographs, including foundational texts on martingales and stochastic calculus. Scientific Awards: Markov Prize (1974) Kolmogorov Prize (1994) Humboldt Research Award (1996) Honoris Causa degrees from Albert Ludwigs University and Amsterdam University Distinguished Professor of Moscow State University (2003) Leadership Roles: Shiryaev has led the Laboratory of Statistics of Stochastic Processes at Steklov Institute (1986–2002) and currently chairs the Probability Theory Department at MSU. He has held editorial leadership in journals like Theory of Probability and its Applications and Finance and Stochastics .

Jérémie Guilhotمشاهده پروفایل

مدرس

• Coxeter Groups
• Hecke Algebras
• Kazhdan-Lusztig Cells
• +۳ مورد دیگر

Jérémie Guilhot is a Lecturer at the Institut Denis Poisson within the Faculty of Science and Technology at the University of Tours, France. His research focuses on Coxeter groups, Hecke algebras, and Kazhdan-Lusztig cells in affine Weyl groups with unequal parameters. He is a member of the ANR ACORT project on algebraic combinatorics and leads the regional Madaca project on random walks and Dunkl processes. Key research interests include algebraic structures such as Hecke algebras, combinatorial problems in representation theory, and the interplay between affine Weyl groups and cellular theory. His work often involves collaborations with researchers like Cédric Bonnafe, V. Miemietz, and J. Parkinson. Recent publications explore affine Hecke algebras, asymptotic cells, and proofs of Lusztig’s conjectures in affine types. Member of ANR ACORT: Algebraic Combinatorics Research Network Project Leader for Madaca: Focuses on stochastic processes and combinatorial algebra Publications span journals like Journal of Algebra and Mathematische Zeitschrift His research trends emphasize cell structure analysis in affine Weyl groups, cellular properties of algebras, and combinatorial methods in representation theory. Collaborations highlight interdisciplinary approaches between algebra and stochastic processes.

Russell C. Hardieمشاهده پروفایل

استاد

• Digital Signal Processing
• Image Processing
• Machine Learning
• +۳ مورد دیگر

Russell C. Hardie is a full-time Professor at the University of Dayton , holding positions in the Department of Electrical and Computer Engineering with joint appointments in Electro-Optics and Photonics and Bioengineering . His academic journey began with a B.S. in Engineering Science from Loyola College (1988), followed by M.S. and Ph.D. in Electrical Engineering from the University of Delaware (1990, 1992). Prior to joining the University of Dayton in 1993, he served as a Senior Scientist at Earth Satellite Corporation (now MDA Federal). Research Interests : Digital signal/image processing, medical imaging, super-resolution techniques, hyperspectral/infrared imaging, pattern recognition Key Awards : 2006 Alumni Award in Teaching (University of Dayton) 1998 Rudolf Kingslake Medal (SPIE) 1999 School of Engineering Excellence in Teaching 2002 IEEE Professor of the Year 1997 Epsilon Delta Tau Engineering Professor of the Year Recent Work : Focuses on machine learning applications for medical imaging (lung segmentation, nodule detection), atmospheric turbulence mitigation, and hyperspectral data analysis. His 15 most recent publications span topics from zero-shot chest X-ray analysis to methane plume detection and turbulence-corrected imaging systems. Contact: rhardie1@udayton.edu

Yakov Berchenko-Koganمشاهده پروفایل

استادیار

• Numerical Analysis
• Differential Geometry
• Finite Element Methods
• +۲ مورد دیگر

Yakov Berchenko-Kogan is an Assistant Professor in the Department of Mathematics and Systems Engineering at Florida Institute of Technology (FIT), part of the College of Engineering and Science. He holds a Ph.D. in Mathematics from MIT (2016) and a B.S. in Mathematics from Caltech (2011), with a minor in Control and Dynamical Systems. His research focuses on developing high-order, structure-preserving numerical methods for problems in differential geometry and geometric analysis, particularly within the framework of finite element exterior calculus. He has held postdoctoral positions at institutions including Pennsylvania State University, the University of Hawaii at Manoa, and Washington University in St. Louis. His expertise spans numerical analysis, differential geometry, and computational mathematics, with a strong emphasis on geometric numerical methods and their applications to geometric PDEs. He actively engages in academic outreach, encouraging undergraduate and graduate students to pursue capstone projects or research collaborations. His work has been published in high-impact journals such as Foundations of Computational Mathematics , Geometriae Dedicata , and Journal of Nonlinear Science . Berchenko-Kogan’s research interests include finite element methods, geometric decomposition techniques, and the numerical approximation of geometric objects like the Levi-Civita connection and mean curvature flow self-shrinkers. He also explores structure-preserving algorithms for equations in mathematical physics, such as Maxwell’s and Yang-Mills equations.

• Computer Vision
• Machine Learning
• Signal Processing
• +۶ مورد دیگر

Qian Huang is a Professor in the Department of Computer Science at Sun Yat-sen University's School of Computer Science and Engineering. With over 350 publications spanning from 1992 to 2025, Dr. Huang has established themselves as a leading researcher in multiple interdisciplinary fields at the intersection of computer science, engineering, and applied mathematics. Dr. Huang's research spans several critical domains in modern computing. Their primary interests include computer vision with applications in medical image analysis, machine learning with emphasis on transformer architectures and federated learning, signal processing for video compression, and wireless communications for IoT applications. Recent work demonstrates significant contributions to nuclei segmentation in cervical cell images, advanced video compression techniques using spatiotemporal modeling, and predictive maintenance systems for industrial equipment that incorporate uncertainty quantification. An analysis of Dr. Huang's 15 most recent publications reveals a strong trend toward interdisciplinary research that bridges theoretical computer science with practical applications. Their work consistently addresses real-world challenges in healthcare diagnostics, industrial automation, and communication systems. The publications demonstrate expertise in developing novel deep learning architectures while maintaining theoretical rigor in mathematical foundations. Multiple publications in IEEE Transactions journals across various domains Regular contributions to top-tier conferences including ICASSP, ICIP, NeurIPS, and CVPR Collaborations with researchers from leading institutions globally Dr. Huang's research program appears well-funded through collaborations with industrial partners and Chinese national research grants, though specific grant information isn't detailed in the publication record. Their work on federated learning frameworks and medical image analysis suggests strong connections with healthcare technology companies and medical research institutions. The extensive publication record across multiple domains indicates leadership of a substantial research group with expertise spanning computer vision, machine learning, and signal processing.

• Actuarial Mathematics
• Risk Theory
• Ruin Theory
• +۵ مورد دیگر

Chadjiconstantinidis Stathis is a Professor at the Department of Statistics and Insurance Science, University of Piraeus. He earned his Doctorate in Statistics (1990) and Diploma in Mathematics (1985) from Aristotle University of Thessaloniki. His academic roles include undergraduate and postgraduate teaching across multiple institutions including the University of Athens and Athens University of Economics and Business. Research Focus: His work spans actuarial mathematics, risk theory, and statistical optimization. Primary domains include: Ruin theory and bankruptcy modeling in insurance contexts Collective risk models with dependencies Optimal experimental designs for statistical efficiency Reliability theory and stochastic pattern analysis Publications: His 15 most recent articles show consistent focus on risk modeling (compound processes, ruin probabilities) and statistical design optimization (D-optimal cyclic designs). Actuarial mathematics dominates newer works (2005–2013), while earlier publications emphasize experimental design combinatorics. Academic Leadership: Department President (2007–2009) Director of Master’s Program in Actuarial Science & Risk Management (2007–2011) Deputy Chairman of Actuary Licensing Committee (Ministry of Finance) Senate Member at University of Piraeus (1997–1998, 2007–2009) Doctoral Supervision: Mentored dissertations on risk theory and statistics pedagogy. Current advisees not specified.

Giorgio Stefaniمشاهده پروفایل

استادیار

• Analysis of Partial Differential Equations (PDEs)
• Functional Analysis
• Metric Geometry
• +۴ مورد دیگر

Giorgio Stefani is a Fixed-Term Researcher (Ricercatore a Tempo Determinato di tipo A - RTDA) at the Department of Mathematics, University of Padova (Italy). He holds a Ph.D. in Mathematics from Scuola Normale Superiore of Pisa (2020) and has held postdoctoral positions at the University of Basel (2020-2022) and SISSA Trieste (2022-2024). Ph.D.: Mathematics, Scuola Normale Superiore di Pisa (2020) PostDoc: University of Basel (2020-2022) PostDoc: SISSA Trieste (2022-2024) Current: Fixed-Term Junior Assistant Professor, University of Padova (2024-) His research focuses on Analysis of PDEs , Functional Analysis , and Metric Geometry , with particular emphasis on: Fractional calculus and non-local functionals Geometric measure theory and perimeter minimization Sharp inequalities in Sobolev spaces Applications to Euler and Vlasov-Poisson systems Topological singularities in variational problems His recent publications demonstrate a strong trend toward Gamma-convergence of fractional energies , Hardy inequalities , and non-local perimeters . He actively participates in geometric analysis seminars and workshops, including the 2022 Rome workshop on anisotropic isoperimetric problems. Contact: giorgio.stefani@unipd.it | giorgio.stefani.math@gmail.com

• Fluid Dynamics
• Partial Differential Equations
• Geometric Measure Theory
• +۳ مورد دیگر

Gianluca Crippa is an Associate Professor in the Department of Mathematics and Computer Science at the University of Basel, affiliated with the Analysis research group. His work focuses on differential equations arising from fluid dynamics and geometric measure theory. He contributes to understanding irregular fluid behaviors, such as chaotic flows and advection processes. His research also explores nonlocal conservation laws, mixing phenomena, and transport equations. Crippa organizes the BZ Seminar in Analysis, a collaborative event with the University of Zurich and ETH Zurich. He has published extensively on topics like Euler flows, Navier-Stokes equations, and Vlasov-Poisson systems, with over 50 peer-reviewed articles. His current projects include studies on localized Yudovich spaces and entropy solutions in nonlocal models. Education: Ph.D. in Mathematics (unspecified institution). Research Themes: Fluid dynamics, PDEs, geometric measure theory, advection, and nonlocal phenomena. He collaborates with institutions globally, including SISSA Trieste and ETH Zurich. His work bridges theoretical mathematics and applications in physics and engineering, emphasizing rigorous mathematical analysis of complex systems.

Elizabeth Stojanovskiمشاهده پروفایل

مدرس ارشد

• Biostatistics
• Longitudinal Modelling
• Multivariate Statistics
• +۶ مورد دیگر

Dr. Elizabeth Stojanovski is a Senior Lecturer at the University of Newcastle , affiliated with the School of Information and Physical Sciences and the Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA) . She leads the Mathematics Education Research Group and manages the statistical consulting unit, serving industry, academics, and postgraduate students. With a PhD in Statistics from the University of Newcastle, she specializes in Biostatistics , Longitudinal Modelling , and Multivariate Statistics . Education : PhD (University of Newcastle), Bachelor of Mathematics (Honours), Bachelor of Mathematics Professional Roles : Senior Lecturer (2007–present), Research Academic (2004–2006) Memberships : Member of the Australian Statistics Society Her research spans health and education , focusing on longitudinal relationships between life events and physical/mental health. She has developed Bayesian frameworks , longitudinal models , and meta-analytic techniques for applications in tobacco control, cardiovascular disease, cancer treatment, and mathematics education. Her work includes collaborations with Eric Beh on Nobel Prize data analysis, Manohar Garg on lipid-lowering studies, and Suzanne Snodgrass on physiotherapy biomechanics. Recent publications highlight her expertise in correspondence analysis for educational and scientific data, multivariate assessment of diabetes risk , and reinforcement learning for optimization. She has supervised 15 PhD/Masters students and peer-reviewed for journals and grants. Her grants total $496,207 , including projects on statistical literacy and phytosterol efficacy. Scientific Awards : 2001 "Temporal association between life events and health" Elizabeth's teaching spans theoretical and applied statistics, with a focus on psychology, health, and business applications. She has also contributed to forensic science through cut mark analysis on bone and policy research on tobacco investments in pension funds. Her leadership in CARMA and statistical consulting underscores her interdisciplinary impact.

Matthias Winkelمشاهده پروفایل

مدرس

• Probability Theory
• Stochastic Processes
• Random Trees
• +۳ مورد دیگر

Matthias Winkel is a Lecturer in Mathematics at Brasenose College and holds a Departmental Lecturership at the Department of Statistics, University of Oxford. He is also a member of the Probability Group and associated with research groups in Stochastic Analysis and Combinatorics. Education: M.Sc. (Manchester, 1998) Diplom (Münster, 1999) Ph.D. (Paris, 2001) Research Interests: Random trees and forests, branching processes, Lévy processes Exchangeability, random partitions, hierarchies Stochastic models in mathematical biology and finance Advising & Collaborations: Current PhD students: Matthew Buckland, David Geldbach (joint with Julien Berestycki) Former students include Almut Veraart, Di Kuang, Bo Chen Collaborators: Jim Pitman, Thomas Duquesne, Hui He, Andreas Kyprianou Research Contributions: Focuses on continuum random trees, fragmentation processes, and applications of Lévy processes. Key work includes Aldous diffusion models, interval partition evolutions, and tree-valued stochastic processes.

• Evolutionary Biology
• Environmental Biology
• Ecology
• +۲ مورد دیگر

Justine Bélik is an active researcher affiliated with the Institute of Life-Earth-Environment Research Unit in Environmental and Evolutionary Biology, with ongoing contributions to evolutionary and environmental sciences through conference participation and research supervision. Her primary research spans Evolutionary Biology, Environmental Biology, Ecology, Zoology, and Marine Biology, with emphasis on organism-environment interactions. This is evidenced by her award-winning master's thesis in Organism Biology and Ecology and contributions to major conferences including the Congress on Evolutionary Biology and Benelux Congress of Zoology, where she investigates evolutionary processes and marine ecosystems. Her scientific recognition includes: LA BOURSE BAUCHAU CONGRÈS fellowship (2025) Lauréat du meilleur mémoire prize for outstanding master's thesis in Organism Biology and Ecology (2023) RBZS grant supporting laboratory/museum work and field research (2023) She mentors emerging researchers through supervised academic work and leverages competitive funding like the RBZS grant for hands-on research activities. Her public engagement includes media contributions such as "Le rivulus, petit poisson extraordinaire!" highlighting biological research for broader audiences. As part of the Environmental and Evolutionary Biology research unit, she collaborates on interdisciplinary projects examining organismal adaptations within changing ecosystems, with active participation in international scientific communities through conference organization and presentations.