PhD Courses

Courses 2023-24
SSD Name of the course Professor Semester Language Credits
MAT/05
(BA)
Stability and instability in dynamical systems Giuliani Fall English 5
SECS-S/01
(BA)
Advanced statistical learning for complex data Ieva Fall English 5
MAT/08
(BA)
Mathematical and numerical foundations of scientific machine learning Pagani, Miglio Fall English 5
MAT/05, MAT/07
(SC)
Spectral and scattering theory in quantum mechanics Borrelli, Fermi Spring English 5
MAT/08
(SC)
Advanced numerical methods for predictive digital twins Fresca, Zunino Spring English 5
MAT/05
(SC)
Mathematical Aspects of Fluid Mechanics Giorgini Fall English 5
MAT/06
(SC)
An introduction to the Malliavin calculus Zanella Fall English/Italiano 5
  Advanced mathematical methods in engineering I Correggi Spring/Fall   5
  Advanced mathematical methods in engineering II Correggi Spring/Fall   5
Today's events
  • feb 21 wed 2024

    MOX Seminar
    Harald Garcke, Efficient computation of curvature driven interface evolution,  02-21-2024, 09:00
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    MOX
    MOX Numeth

    • MOX Seminar
    • Harald Garcke
    • Universität Regensburg, Germany
    • Efficient computation of curvature driven interface evolution
    • Wednesday, 21 February 2024 at 09:00
    • Aula Saleri
    • Abstract
      Parametric finite elements lead to very efficient numerical methods for surface evolution equations. We introduce several computational techniques for curvature driven evolution equations based on a weak formulation for the mean curvature. The approaches discussed, in contrast to many other methods, have good mesh properties that prevent mesh coalescence and very nonuniform meshes. Mean curvature flow, surface diffusion, anisotropic geometric flows, Willmore flow as well as free boundary problems are treated. We show stability results as well as results explaining the good mesh properties. Finally, we address new developments for numerically solving Navier-Stokes equations on evolving surfaces.

      This initiative is part of the “Ph.D. Lectures” activity of the project "Departments of Excellence 2023-2027" of the Department of Mathematics of Politecnico di Milano. This activity consists of seminars open to Ph.D. students, followed by meetings with the speaker to discuss and go into detail on the topics presented at the talk.

      Contatti:
      paola.antonietti@polimi.it
      maurizio.grasselli@polimi.it
      andrea.signori@polimi.it
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • feb 21 wed 2024

    Seminar
    Marc Levine, DT invariants of smooth projective threefolds: classical, quadratic and real,  02-21-2024, 17:00
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    • Seminar
    • Marc Levine
    • Universität Duisburg-Essen
    • DT invariants of smooth projective threefolds: classical, quadratic and real
    • Wednesday, 21 February 2024 at 17:00
    • Sala di Rappresentanza del Dipartimento di Matematica di via Saldini
    • Abstract
      Let X be a smooth projective 3-fold over the complex
      numbers. Following work of Thomas, Behrend-Fantechi, and others, one
      has a virtual fundamental class in the Chow group of 0-cycles on the
      Hilbert scheme of dimension 0, length n subschemes of X, the degree of
      which is the nth Donaldson-Thomas invariant of X

      Now take X over an arbitrary field k. We have developed a construction
      of virtual fundamental classes with values in an arbitrary motivic
      cohomology theory. An example of such, a ``quadratic'' analog of the
      Chow groups, is the cohomology of the sheaf of Witt rings, which leads
      to a refinement of the classical DT-invariants to quadratic
      DT-invariants with values in the Witt ring of quadratic forms over k.
      We will discuss some developments and conjectures for these refined DT
      invariants, including some computations of the signature of these
      invariants due to Anneloes Viergever.
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • feb 21 wed 2024

    Seminar
    Juan Bory-Reyes, First approach to a (q,q')-model of quaternionic analysis,  02-21-2024, 17:00 precise
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    • Seminar
    • Juan Bory-Reyes
    • Instituto Politécnico Nacional, Mexico City
    • First approach to a (q,q')-model of quaternionic analysis
    • Wednesday, 21 February 2024 at 17:00 right
    • On-line (il link verrà reso disponibile il giorno stesso del seminario)
    • Abstract
      The study of $\Psi$-hyperholomorphic functions defined on domains in $\mathbb R^4$ with values in $\mathbb H$, namely the null-solutions of the $\Psi$-Fueter operator, where $\Psi$ denotes a structural set, is a topic which captured great interest in quaternionic analysis. This class of functions is more general than that of Fueter regular functions. Applications of q-calculus have been investigated intensively, especially for the connections with physics. Inspired by these applications, many researchers developed the (q,q')-model (also called post quantum calculus), which is used efficiently in various areas of mathematics and also in quantum physics. The goal of the talk is to show how look, in the framework of (q,q')-calculus, a deformation of the $\Psi$-Fueter operator written in terms of suitable difference operators, which reduces to the Jackson q-derivative when q'=1. The talk is based on a joint work with José Oscar González Cervantes and Irene Sabadini.
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

Upcoming events
  • feb 22 thu 2024

    WorkShop
    Cahn-hilliard and allen-cahn equations in bio-medicine
    02/22/2024
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    • WORKSHOP
    • organizers
      Cecilia Cavaterra (UNIMI); Andrea Giorgini & Andrea Signori (POLIMI); Matteo Fornoni & Elisabetta Rocca (Pavia).
    • L’evento è un workshop sponsorizzato dall’INdAM che prevede 11 interventi di ospiti internazionali su tematiche relative all’utilizzo di modelli di tipo Cahn-Hilliard e Allen-Cahn per applicazioni in bio-medicina.
    • Thursday, 22 February 2024 - Thursday, 22 February 2024
      Sala Consiglio Dipartimento di Matematica, POLIMI
    Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568
  • feb 22 thu 2024

    Seminar
    Akihiro Higashitani, Difference of Hilbert series of homogeneous monoid algebras and their normalizations,  02-22-2024, 13:00 precise
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    • Seminar
    • Akihiro Higashitani
    • Osaka University
    • Difference of Hilbert series of homogeneous monoid algebras and their normalizations
    • Thursday, 22 February 2024 at 13:00 right
    • Aula seminari MOX VI piano
    • Abstract
      Let Q be an affine monoid and k[Q] the associated monoid k-algebra, where we let k be a field.
      In this talk, in the case where k[Q] is standard graded, a difference of the Hilbert series of k[Q] and its normalization is discussed. More precisely, we prove that if k[Q] satisfies Serre’s condition (S2), then the degree of the h-polynomial of k[Q] is always greater than or
      equal to that of its normalization.
      Moreover, we also show counterexamples of this statement if we drop the assumption (S2).
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • feb 22 thu 2024

    MOX Seminar
    Marc Hirschvogel, Distributed and reduced computational models for cardiac fluid-solid interaction,  02-22-2024, 15:00
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    MOX

    • MOX Seminar
    • Marc Hirschvogel
    • MOX, Dipartimento di Matematica, Politecnico di Milano
    • Distributed and reduced computational models for cardiac fluid-solid interaction
    • Thursday, 22 February 2024 at 15:00
    • Aula Saleri
    • Abstract
      The ongoing prevalence of cardiovascular disease entities as the number one cause of mortality in the industrialized world drives the development of novel in-silico tools for assessment of cardiac function and disease characterization. Given the complexity and multiscale nature of biophysical processes involved, efficient physics-based simulations of the cardiovascular system remain challenging, which promotes the need for intelligent model designs blending between reduced and distributed representations. Concepts of modeling multi-physics phenomena in cardiac mechanics are presented, encompassing the fusion of distributed (3D) and reduced (0D) models of the heart and the circulatory system along with efficient model personalization. These allow to quantify ventricular growth & remodeling as well as function of novel cardiac assist devices for heart failure patients. Further, blood flow-centered reduced models for cardiac fluid-solid interaction (FSI) are presented, where an efficient physics- and projection-based reduced-order model (ROM) approach allows realistic hemodynamics assessment of patient-specific left ventricular FSI without the need for a structural representation of the myocardium. Last, monolithic solvers and block preconditioning strategies are introduced that are tailored towards the solution of combined distributed and reduced models. An efficient monolithic 3D-0D coupling framework for linking fluid and solid mechanics to arbitrary reduced system models is exemplified, along with POD-based ROMs that operate on subsets of the discretization.This allows for a flexible design of cardiovascular mechanics models, providing efficient solution algorithms also for large-scale problems on patient-specific geometries.

      Contatti:
      francesco.regazzoni@polimi.it
      luca.dede@polimi.it
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • feb 26 mon 2024

    MOX Seminar
    Enrico Facca, Navigating the optimal transport problem: new tools and new challenges,  02-26-2024, 13:00
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    MOX
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    • MOX Seminar
    • Enrico Facca
    • Marie Sklodowska-Curie fellowship at University of Bergen, Norway
    • Navigating the optimal transport problem: new tools and new challenges
    • Monday, 26 February 2024 at 13:00
    • Aula Saleri
    • Abstract
      This seminar aims to provide a broad and comprehensive understanding of the optimal transport problem, which deals with finding the most efficient way to move mass from one distribution to another.
      In recent times, the exploration of this problem has resulted in the creation of several novel mathematical instruments. These are slowly being integrated into the toolkit of practitioners in applied sciences. The Wasserstein distance stands out among these instruments due to its unique capability to quantify the disparity between two probability distributions by considering not just their magnitudes but also their respective positions. We will present how this properties may be particularly useful in solving inverse problems.
      We will also provide an overview of the state-of-the-art of numerical methods for solving the optimal transport problem. We will also go into the challenges and unresolved questions in this area of research.

      Contatto:
      alessio.fumagalli@polimi.it
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • feb 29 thu 2024

    MOX Seminar
    Alfio Borzi, A new approach to high contrast and resolution reconstruction in quantitative photoacoustic tomography,  02-29-2024, 14:00
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    MOX
    MOX Numeth

    • MOX Seminar
    • Alfio Borzi
    • Würzburg Universität, Germany
    • A new approach to high contrast and resolution reconstruction in quantitative photoacoustic tomography
    • Thursday, 29 February 2024 at 14:00
    • Aula Saleri
    • Abstract
      A new approach for the reconstruction of optical diffusion and absorption coefficients in quantitative photoacoustic tomography (QPAT) is presented. This approach is based on a Tikhonov-type functional with a regularization term promoting sparsity of the absorption coefficient and a prior involving a Kubelka-Munk absorption-diffusion relation that allows to obtain superior reconstructions. The reconstruction problem is formulated as the minimization of the objective functional subject to the differential constraint given by a photon-propagation model. This problem is solved in the framework of the Pontryagin maximum principle. Results of numerical experiments are presented that demonstrate the ability of the proposed framework to obtain reconstructions of the optical coefficients with high contrast and resolution for different objects.
      This is joint work with Anwesa Dey and Souvik Roy. This work was partially supported by the BMBF Project iDeLIVER.

      Contatti:
      gabriele.ciaramella@polimi.it
      carlo.defalco@polimi.it
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • mar 14 thu 2024

    MOX Colloquia
    Simon Wood, On Neighbourhood Cross Validation,  03-14-2024, 14:00
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    MOX

    • MOX Colloquia
    • Simon Wood
    • School of Mathematics, University of Edinburgh
    • On Neighbourhood Cross Validation
    • Thursday, 14 March 2024 at 14:00
    • Aula Consiglio - VII piano
    • Abstract
      Cross validation is a well known method for estimating hyperparameters in complex regression models. It comes in many varieties, but some of the more interesting flavours require multiple model fits with consequently high cost. This talk shows how the high cost can be side-stepped for a wide range of models estimated using a quadratically penalized smooth loss, with rather low approximation error. Once the computational cost has the same leading order as a single model fit, it becomes feasible to efficiently optimize the chosen cross-validation criterion with respect to multiple smoothing/precision parameters. Interesting applications include cross-validating smooth additive quantile regression models, and the use of leave-out-neighbourhood cross validation for dealing with nuisance short range autocorrelation. The link between cross validation and the jackknife can be exploited to obtain reasonably well calibrated uncertainty quantification in these case.
    • Simon Wood

      Simon Wood

      Simon Wood is Professor of Statistical Computing and the University of Edinburgh, (and previously Bristol, Bath, Glasgow and St Andrews). After training in physics he worked in mathematical biology, and moved into statistics as a result of an increasing conviction that biological dynamic models should be calibrated. This move resulted in a shift towards smoothing and modern regression models, the production of the quite widely used mgcv package in R for generalized additive modelling, and an associated textbook, alongside a number of journal articles related to smoothing, smoothing parameter estimation, GAM computation and inference. The Covid pandemic re-awakened his interest in the calibration of biological dynamic models, resulting in some work that proved oddly controversial.
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • mar 14 thu 2024

    Seminar
    Ermanno Lanconelli, Sulla caratterizzazione armonica delle sfere: una disuguaglianza di stabilita' per domini C^1-pericentrici,  03-14-2024, 15:00
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    • Seminar
    • Ermanno Lanconelli
    • Università di Bologna
    • Sulla caratterizzazione armonica delle sfere: una disuguaglianza di stabilita' per domini C^1-pericentrici
    • Thursday, 14 March 2024 at 15:00
    • Aula seminari MOX - VI piano
    • Abstract
      Nel 2002 Lewis e Vogel dimostrarono che le pseudo sfere armoniche, cioè le frontiere dei domini limitati sui quali vale, per le funzioni armoniche, la formula di media di superficie rispetto ad un loro punto interno, sono sfere euclidee se i domini sono Dirichlet-regolari e in più il loro bordo ha misura (n- 1)-dimensionale con crescita al più euclidea.
      Il risultato di Lewis e Vogel, nelle stesse ipotesi, può essere riformulato nel modo seguente: se il nucleo di Poisson di un dominio, con polo in un suo punto interno x_0, è costante sul bordo, allora il dominio è una sfera euclidea di centro x_0.
      Nel 2007 Preiss e Toro, assumendo le stesse ipotesi, dimostrarono che il risultato di Lewis e Vogel è stabile, nel senso seguente: se il nucleo di Poisson di un dominio, con polo in un suo punto interno, è quasi costante sul bordo, allora il bordo del dominio è geometricamente vicino ad una sfera centrata in quel punto.
      Con Giovanni Cupini abbiamo dimostrato che il risultato di rigidità di Lewis e Vogel, e una disuguaglianza di stabilità alla Preiss e Toro, valgono assumendo ''soltanto'' una regolarità C^1 del bordo vicino ad almeno un suo punto pericentrale, cioè un punto del bordo avente distanza minima dal fissato centro della pseudosfera, senza nulla richiedere sul resto della frontiera, neppure l'esistenza del nucleo di Poisson.
      Le nostre tecniche sono dirette, e non usano gli elevati metodi di Analisi armonica e di frontiera libera utilizzate da Lewis e Vogel e da Preiss e Toro.
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • apr 11 thu 2024

    MOX Seminar
    Michele Benzi, Revisiting the Augmented Lagrangian Approach to Saddle-Point Problems,  04-11-2024, 14:00
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    MOX
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    • MOX Seminar
    • Michele Benzi
    • Scuola Normale Superiore, Pisa
    • Revisiting the Augmented Lagrangian Approach to Saddle-Point Problems
    • Thursday, 11 April 2024 at 14:00
    • Aula Saleri
    • Abstract
      Augmented Lagrangian (AL) methods have a long history in both optimization and numerical PDEs, going back to the work of Powell and Hestenes in the late 1960s and to the work of Glowinski and collaborators starting in the mid-1970s, respectively. Whereas AL-type methods have been long very popular in the field of constrained optimization, where are among the most widely used techniques available (as witnessed, for instance, by the great success enjoyed by methods like ADMM), the track record of these methods in solving PDE-related problems has been until recently somewhat less impressive, due in part to ill-conditioning and implementation difficulties.
      In this talk I will describe advances in developing robust and scalable solvers for PDE-related saddle point problems by means of iterative methods and block preconditioners tailored to the AL formulation. The effectiveness of these solvers will be demonstrated on problems from incompressible flow (Oseen problem, coupled Stokes-Darcy problem), liquid crystal directors modeling, and optimal control with PDE constraints. Collaborators over the years include Fatemeh Beik, Chiara Faccio, Patrick Farrell, Santolo Leveque, Maxim Olshanskii and Zhen Wang.

      Contatto:
      luca.formaggia@polimi.it
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • apr 18 thu 2024

    Seminar
    Elena Danesi, Strichartz estimates for the Dirac equation on compact manifolds without boundary,  04-18-2024, 15:00
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    • Seminar
    • Elena Danesi
    • Università di Padova
    • Strichartz estimates for the Dirac equation on compact manifolds without boundary
    • Thursday, 18 April 2024 at 15:00
    • Aula seminari - III piano
    • Abstract
      The Dirac equation on Rn can be listed within the class of dispersive equations, together with, e.g., the wave and Klein-Gordon equations. In the years a lot of tools have been developed in order to quantify the dispersion of a system. Among these one finds the Strichartz estimates, that are a priori estimates of the solutions in mixed Lebesgue spaces. For the flat case Rn they are known, as they are derived from the ones that hold for the wave and Klein-Gordon equations. However, when passing to a curved spacetime domain, very few results are present in the literature. In this talk I will firstly introduce the Dirac equation on curved domains. Then, I will discuss the validity of this kind of estimates in the case of Dirac equations on compact Riemannian manifolds without boundary. This is based on a joint work with Federico Cacciafesta (Università di Padova) and Long Meng (CERMICS-École des ponts ParisTech).
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • jun 05 wed 2024

    jun 07 fri 2024

    WorkShop
    Perspectives in pdes, global and functional analysis
    06/05/2024 - 06/07/2024
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    • WORKSHOP
    • organizers
      Matteo Bonforte (Universidad Autónoma de Madrid, Spain) Matteo Muratori (Politecnico di Milano, Italy) Fabio Punzo (Politecnico di Milano, Italy) Alberto Setti (Università degli Studi dell'Insubria, Italy)
    • This workshop aims at bringing together world experts from Analysis and Geometry, with a particular accent on the broad field of Partial Differential Equations and their applications. In particular, the main topics addressed lie at the interface between Global Analysis, Functional Analysis, Geometric Analysis and Differential Geometry. The meeting is held on the special occasion given by the 60th birthday of Gabriele Grillo, Professor of Mathematical Analysis at Politecnico di Milano since 2009.
    • Wednesday, 5 June 2024 - Friday, 7 June 2024
      Università degli Studi dell'Insubria - Sede di Sant'Abbondio a Como
    Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568
  • oct 17 thu 2024

    MOX Colloquia
    Marc G. Genton, Exascale Geostatistics for Environmental Data Science,  10-17-2024, 14:00
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    MOX

    • MOX Colloquia
    • Marc G. Genton
    • King Abdullah University of Science and Technology (KAUST), Saudi Arabia
    • Exascale Geostatistics for Environmental Data Science
    • Thursday, 17 October 2024 at 14:00
    • Aula Consiglio VII piano - Dipartimento di Matematica
    • Abstract
      Environmental data science relies on some fundamental problems such as: 1) Spatial Gaussian likelihood inference; 2) Spatial kriging; 3) Gaussian random field simulations; 4) Multivariate Gaussian probabilities; and 5) Robust inference for spatial data. These problems develop into very challenging tasks when the number of spatial locations grows large. Moreover, they are the cornerstone of more sophisticated procedures involving non-Gaussian distributions, multivariate random fields, or space-time processes. Parallel computing becomes necessary for avoiding computational and memory restrictions associated with large-scale environmental data science applications. In this talk, I will explain how high-performance computing can provide solutions to the aforementioned problems using tile-based linear algebra, tile low-rank approximations, as well as multi- and mixed-precision computational statistics. I will introduce ExaGeoStat, and its R version ExaGeoStatR, a powerful software that can perform exascale (10^18 flops/s) geostatistics by exploiting the power of existing parallel computing hardware systems, such as shared-memory, possibly equipped with GPUs, and distributed-memory systems, i.e., supercomputers. I will then describe how ExaGeoStat can be used to design competitions on spatial statistics for large datasets and to benchmark new methods developed by statisticians and data scientists for large-scale environmental data science.

      Contatti: laura.sangalli@polimi.it
    • Marc G. Genton

      Marc G. Genton

      Marc G. Genton is Al-Khawarizmi Distinguished Professor of Statistics at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He received the Ph.D. degree in Statistics (1996) from the Swiss Federal Institute of Technology (EPFL), Lausanne. He is a fellow of the American Statistical Association (ASA), of the Institute of Mathematical Statistics (IMS), and the American Association for the Advancement of Science (AAAS), and is an elected member of the International Statistical Institute (ISI). In 2010, he received the El-Shaarawi award for excellence from the International Environmetrics Society (TIES) and the Distinguished Achievement award from the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA). He received an ISI Service award in 2019 and the Georges Matheron Lectureship award in 2020 from the International Association for Mathematical Geosciences (IAMG). He led a Gordon Bell Prize finalist team with the ExaGeoStat software for Super Computing 2022. He received the Royal Statistical Society (RSS) 2023 Barnett Award for his outstanding research in environmental statistics. His research interests include statistical analysis, flexible modeling, prediction, and uncertainty quantification of spatio-temporal data, with applications in environmental and climate science, as well as renewable energies.
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • nov 21 thu 2024

    MOX Colloquia
    Klaus-Robert Müller, Machine Learning and AI for the Sciences: toward understanding,  11-21-2024, 14:00
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    MOX

    • MOX Colloquia
    • Klaus-Robert Müller
    • Technische Universität Berlin
    • Machine Learning and AI for the Sciences: toward understanding
    • Thursday, 21 November 2024 at 14:00
    • Aula Consiglio VII piano
    • Klaus-Robert Müller

      Klaus-Robert Müller

      Klaus-Robert Müller has been a professor of computer science at Technische Universität Berlin since 2006; at the same time he is directing rsp. co-directing the Berlin Machine Learning Center and the Berlin Big Data Center and most recently BIFOLD . He studied physics in Karlsruhe from 1984 to 1989 and obtained his Ph.D. degree in computer science at Technische Universität Karlsruhe in 1992. After completing a postdoctoral position at GMD FIRST in Berlin, he was a research fellow at the University of Tokyo from 1994 to 1995. In 1995, he founded the Intelligent Data Analysis group at GMD-FIRST (later Fraunhofer FIRST) and directed it until 2008. From 1999 to 2006, he was a professor at the University of Potsdam. From 2012 he has been Distinguished Professor at Korea University in Seoul. In 2020/2021 he spent his sabbatical at Google Brain as a Principal Scientist. Among others, he was awarded the Olympus Prize for Pattern Recognition (1999), the SEL Alcatel Communication Award (2006), the Science Prize of Berlin by the Governing Mayor of Berlin (2014), the Vodafone Innovations Award (2017), Hector Science Award (2024), Pattern Recognition Best Paper award (2020), Digital Signal Processing Best Paper award (2022). In 2012, he was elected member of the German National Academy of Sciences-Leopoldina, in 2017 of the Berlin Brandenburg Academy of Sciences, in 2021 of the German National Academy of Science and Engineering and also in 2017 external scientific member of the Max Planck Society. From 2019 on he became an ISI Highly Cited researcher in the cross-disciplinary area. His research interests are intelligent data analysis and Machine Learning in the sciences (Neuroscience (specifically Brain-Computer Interfaces, Physics, Chemistry) and in industry.
    • Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568