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[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
23 June 2025 - 27 June 2025 -
Venue: office XX, XX floor of the "Departamento de Engenharia Mecânica e Industrial (DEMI)" Building
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[SAL] Determinants of Finite Semigroups | M. H. Shahzamanian (CMUP FCUP)
[SAL] Determinants of Finite Semigroups | M. H. Shahzamanian (CMUP FCUP)
23 June 2025 - 2:00 pm - 3:00 pm
Room: 4.6, ed. VIII
Abstract: The concept of a determinant associated with a finite group originates in the work of Dedekind and Frobenius in the late 19\textsuperscript{th} century. This idea was later extended to finite semigroups, where the determinant of the semigroup algebra captures deep structural information. For commutative semigroups, Steinberg provided a factorization of the semigroup determinant, and more recently, the theory has been developed for broader classes, such as semigroups in the pseudovariety $\ensuremath{\mathsf{ECom}}$, where all idempotents commute.
In this talk, we trace the development of computing determinants for finite semigroups, from its classical origins to more recent results. We focus on semigroups whose structure enables determinant computation via partial orders and canonical decompositions, particularly using the notion of $\ll$-smoothness. These developments highlight both the possibilities and limitations in extending the theory beyond commutative and idempotent-commuting settings.
We also discuss recent progress in identifying broader classes of semigroups where determinant computations remain tractable, even when full $\ll$-transitivity is absent. This opens new directions for understanding the algebraic and combinatorial properties that govern the behavior of semigroup determinants.
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[CourseDataScience] Advanced Tensor Computation and Applications | Khalide Jbilou (Université du Littoral Côte d'Opale, France)
[CourseDataScience] Advanced Tensor Computation and Applications | Khalide Jbilou (Université du Littoral Côte d'Opale, France)
23 June 2025 - 3:00 pm - 5:00 pm
NOVA FCT, Sala Ágora
Tensor computation extends the principles of linear algebra and numerical analysis to higher-dimensional data structures, allowing for efficient processing of complex data. Tensors play a central role in a variety of disciplines, from machine learning to scientific simulations. Tensors are among the most versatile and powerful mathematical tools available, with applications in many disciplines such as physics, computer science, engineering, graphs, and machine learning.
The mini-course is designed as a comprehensive introduction to tensors and their applications, bridging theory and practice. It seeks to demystify the subject for beginners while offering valuable insights for those with more advanced knowledge. Our focus is twofold:
Conceptual Understanding: By presenting tensors in a clear and accessible manner, we aim to equip the course attendees with a solid grasp of the core principles.
Practical Applications: With numerous examples and case studies, we plan to illustrate how tensors are used to address real-world challenges, from simulating physical systems to enabling breakthroughs in artificial intelligence.
Registration can be completed here.
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24
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[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
23 June 2025 - 27 June 2025 -
Venue: office XX, XX floor of the "Departamento de Engenharia Mecânica e Industrial (DEMI)" Building
See more details
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[CourseDataScience] Advanced Tensor Computation and Applications | Khalide Jbilou (Université du Littoral Côte d'Opale, France)
[CourseDataScience] Advanced Tensor Computation and Applications | Khalide Jbilou (Université du Littoral Côte d'Opale, France)
24 June 2025 - 3:00 pm - 5:00 pm
NOVA FCT, Sala Ágora
Tensor computation extends the principles of linear algebra and numerical analysis to higher-dimensional data structures, allowing for efficient processing of complex data. Tensors play a central role in a variety of disciplines, from machine learning to scientific simulations. Tensors are among the most versatile and powerful mathematical tools available, with applications in many disciplines such as physics, computer science, engineering, graphs, and machine learning.
The mini-course is designed as a comprehensive introduction to tensors and their applications, bridging theory and practice. It seeks to demystify the subject for beginners while offering valuable insights for those with more advanced knowledge. Our focus is twofold:
Conceptual Understanding: By presenting tensors in a clear and accessible manner, we aim to equip the course attendees with a solid grasp of the core principles.
Practical Applications: With numerous examples and case studies, we plan to illustrate how tensors are used to address real-world challenges, from simulating physical systems to enabling breakthroughs in artificial intelligence.
Registration can be completed here.
See more details
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25
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[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
23 June 2025 - 27 June 2025 -
Venue: office XX, XX floor of the "Departamento de Engenharia Mecânica e Industrial (DEMI)" Building
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[SAn] Optimized Schwarz Methods: Challenges and Promises at Continuous and Algebraic Levels | Prof. Lahcen Laayouni (School of Science and Engineering, Al Akhawayn University)
[SAn] Optimized Schwarz Methods: Challenges and Promises at Continuous and Algebraic Levels | Prof. Lahcen Laayouni (School of Science and Engineering, Al Akhawayn University)
25 June 2025 - 2:15 pm - 3:15 pm
Room 4.6, Building VIII.
Seminarof Analysis
Speaker: Prof. Lahcen Laayouni (School of Science and Engineering, Al AkhawaynUniversity).
Date/time: 25/06/2025 (Wednesday), from 14:15 to 15:15.
Location: Room 4.6, Building VIII.
Title: Optimized Schwarz Methods: Challenges andPromises at Continuous and Algebraic Levels
Abstract: Optimized Schwarz methods are a class ofdomain decomposition techniques designed to improve the convergence ofiterative solvers for partial differential equations (PDEs) by imposingoptimized transmission conditions. This talk explores the challenges and promisesof these methods at both continuous and algebraic levels. At the continuouslevel, we address the design of effective transmission conditions, theirdependence on problem-specific parameters. At the algebraic level, we examinethe construction of algebraic block transmission conditions for robustpreconditioners. Through theoretical and numerical results, we show thepotential of optimized Schwarz methods to handle large-scale PDE problems.
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26
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[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
23 June 2025 - 27 June 2025 -
Venue: office XX, XX floor of the "Departamento de Engenharia Mecânica e Industrial (DEMI)" Building
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[SSRM] Illuminating Distributions: Wavelet-Based Quantile Density Estimation with Applications in Auction Theory | Hassan Doosti, Macquarie University's School of Mathematical and Physical Sciences, Sydney, Autralia
[SSRM] Illuminating Distributions: Wavelet-Based Quantile Density Estimation with Applications in Auction Theory | Hassan Doosti, Macquarie University's School of Mathematical and Physical Sciences, Sydney, Autralia
26 June 2025 - 2:00 pm - 3:00 pm
Statistics and Risk Management Seminar
Department of Mathematics, NOVA MATH/FCT NOVA
Title: Illuminating Distributions: Wavelet-Based Quantile Density Estimation with Applications in Auction Theory
Speaker: Hassan Doosti, Macquarie University's School of Mathematical and Physical Sciences, Sidney, Australia
Date | Time: June 26, 2025 | 14:00
Zoom: https://videoconf-colibri.zoom.us/j/88333359956
Abstract: Quantile density functions, which capture the local structure of probability distributions, have emerged as powerful tools in fields ranging from risk analysis to economic modeling. In this talk, we delve into advanced nonparametric strategies for estimating quantile density functions, spotlighting the versatility and precision of wavelet-based techniques. We investigate a range of estimators—including linear, hard thresholding, and block thresholding approaches—within both unbiased and length-biased sampling frameworks. A key focus is placed on the challenges introduced by sampling bias and the use of adaptive wavelet methods for effective bias correction. Through the lens of auction theory, we demonstrate how quantile-driven insights can unravel bidder behavior and valuation dynamics. Supported by simulation studies and real-world case examples, the presentation underscores the power of wavelet methods in handling complex and irregular data landscapes.
Short Bio: Dr. Hassan Doosti is a Senior Lecturer in Statistics at Macquarie University's School of Mathematical and Physical Sciences. He also serves as the Program Director for the Master of Data Science program. Dr. Doosti specializes in flexible modeling techniques, particularly in nonparametric curve estimation, focusing on scenarios involving incomplete or biased data. His research encompasses areas such as probability density, quantile density, and regression functions. With a prolific publication record exceeding 70 research papers, he has contributed significantly to the field. Dr. Doosti has also edited volumes, including Flexible Nonparametric Curve Estimation and Ethics in Statistics: Opportunities and Challenges. His work bridges theoretical advancements with practical applications across various domains, including medical studies and business analytics.
Organizers: Isabel Natário and Mina Norouzirad
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This work is funded by national funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020) and UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020) (Center for Mathematics and Applications)
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27
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[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
[VData Science & OR] Khalide Jbilou (Université du Littoral Côte d'Opale, France)
23 June 2025 - 27 June 2025 -
Venue: office XX, XX floor of the "Departamento de Engenharia Mecânica e Industrial (DEMI)" Building
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28
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29
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Conference on Theoretical and Computational Algebra 2025
Conference on Theoretical and Computational Algebra 2025
29 June 2025 - 4 July 2025 -
More information is available here.
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