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Eventi di oggi 16 aprile 2026

apr 16 gio 2026

MOX Colloquia
Carola-Bibiane Schönlieb, Mathematical Imaging in the Era of AI, 16-04-2026, ore 14:00

MOX Colloquia
Carola-Bibiane Schönlieb
Head of the Cambridge Image Analysis group, University of Cambridge
Mathematical Imaging in the Era of AI
Giovedì 16 aprile 2026 alle ore 14:00
Sala Consiglio, Edificio 14, Politecnico di Milano
Abstract

Mathematical imaging has for decades been a powerful catalyst for new developments across the mathematical sciences. At its core lie fundamental questions about how information can be represented, reconstructed, and interpreted from incomplete, noisy, or indirect data. Addressing these questions has led to deep advances in areas such as functional and harmonic analysis, geometry, variational methods, inverse problems, partial differential equations, probability and statistics, and, more recently, learning theory. The resulting interplay between theory, computation, and applications has made imaging a uniquely fertile meeting point for pure and applied mathematics alike. Applications span an extraordinary range of domains, including biomedical and materials imaging, astronomy, environmental science, cultural heritage, and emerging technologies such as autonomous systems and data-driven diagnostics.
The rapid rise of artificial intelligence is now reshaping the landscape of imaging science once again. Data-driven approaches, in particular deep learning, have achieved remarkable empirical success in tasks such as reconstruction, segmentation, and synthesis. At the same time, their opaque nature and heavy reliance on data raise fundamental mathematical questions concerning stability, generalisation, interpretability, uncertainty quantification, and the incorporation of prior knowledge and physical constraints.
In this talk, I will present mathematical imaging as a continuing source of new mathematical ideas and challenges in the age of AI. I will highlight how modern approaches seek to blend data-driven models with structure, geometry, and physical principles, giving rise to novel analytical frameworks and computational paradigms. This perspective positions imaging not merely as an application area, but as a driver for the next generation of mathematical theory at the interface of analysis, computation, and learning.

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:
laura.sangalli@polimi.it
paola.antonietti@polimi.it

Carola-Bibiane Schönlieb

Carola-Bibiane Schönlieb is Professor of Applied Mathematics at the University of Cambridge. There, she is head of the Cambridge Image Analysis group. Since 2011 she is a fellow of Jesus College Cambridge. Her current research interests focus on variational methods, partial differential equations and machine learning for image analysis, image processing and inverse imaging problems, and the mathematical foundations of machine learning. She has active interdisciplinary collaborations with clinicians, biologists and physicists on biomedical imaging topics, chemical engineers and plant scientists on image sensing, as well as collaborations with artists and art conservators on digital art restoration.
Her research has been acknowledged by scientific prizes, among them the LMS Whitehead Prize 2016, the Philip Leverhulme Prize in 2017, the Calderon Prize 2019, a Royal Society Wolfson fellowship in 2020, a doctorate honoris causa from the University of Klagenfurt in 2022, and by invitations to give invited lectures at several renowned applied mathematics conferences, including SIAM, ICM and ICIAM. She is also a SIAM fellow, and ELLIS fellow and a fellow of the Academy of the Mathematical Sciences.
Carola graduated from the Institute for Mathematics, University of Salzburg (Austria) in 2004. From 2004 to 2005 she held a teaching position in Salzburg. She received her PhD degree from the University of Cambridge (UK) in 2009. After one year of postdoctoral activity at the University of Göttingen (Germany), she became a Lecturer at Cambridge in 2010, promoted to Reader in 2015, promoted to Professor in 2018, and elected to the Professorship of Applied Mathematics (2006) in 2025. Carola convened the European Women in Mathematics Association between 2016 and 2020 and chaired the Committee for Applications and Interdisciplinary Relations (CAIR) of the EMS from 2021 to 2025. She also has been holding several leadership positions at SIAM.

Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568

apr 16 gio 2026

Seminar
Giona Veronelli, Old and new Sobolev inequalities on manifolds via the ABP method, 16-04-2026, ore 14:30 precise
- Seminar
- Giona Veronelli
- Università degli Studi di Milano-Bicocca
- Old and new Sobolev inequalities on manifolds via the ABP method
- Giovedì 16 aprile 2026 alle ore 14:30 precise
- Aula seminari, terzo piano
- Abstract
  
  In the first part of the talk, we will survey the implementation of the ABP method to prove (sharp) isoperimetric inequalities both in Euclidean spaces and on complete Riemannian manifolds with nonnegative curvature and Euclidean volume growth, as well as on minimal submanifolds therein. In particular we will outline the breakthrough contributions by X. Cabré and S. Brendle.
  In the second part, we will present a recent observation regarding the method, which allows us to recover classical Sobolev and Michael-Simons inequalities on manifolds, as well as to obtain new ones.
- Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568
apr 16 gio 2026

Seminar
Hynek Kovarik, Cwikel-Lieb-Rozenblum type estimates for magnetic Hamiltonians in dimension two, 16-04-2026, ore 15:15 precise
- Seminar
- Hynek Kovarik
- Università degli studi di Brescia
- Cwikel-Lieb-Rozenblum type estimates for magnetic Hamiltonians in dimension two
- Giovedì 16 aprile 2026 alle ore 15:15 precise
- Aula seminari III piano
- Abstract
  
  In this talk I will present Cwikel-Lieb-Rozenblum type inequalities for the number of negative eigenvalues of Pauli and Schroedinger operators in dimension two. The resulting upper bounds are sharp both in the weak as well as the strong coupling limit. In both cases, the nature of the inequality depends on whether the flux of the magnetic field is integer or not.
  
  The talk is based on a joint work with Matthias Baur.
- Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568

Prossimi Eventi

apr 21 mar 2026

MOX Events
Vittorio Torri, Learning from Clinical Text: From Weak Supervision to Generative Models, 21-04-2026, ore 11:00
- MOX Events
- Vittorio Torri
- Politecnico di Milano, DMAT, MOX Lab
- Learning from Clinical Text: From Weak Supervision to Generative Models
- Martedì 21 aprile 2026 alle ore 11:00
- Aula Saleri
- Abstract
  
  Electronic Health Records contain a large amount of clinically relevant information in the form of unstructured textual documents such as discharge letters or medical referrals. Extracting structured information from these sources is challenging due to the scarcity of annotated data and the complexity and heterogeneity of clinical language.
  In the first part of this talk, I will present an overview of my doctoral research, which focused on developing machine learning methods to extract information from clinical documents in settings characterized by label scarcity. In particular, I will briefly discuss a clustering pipeline for short clinical texts and a weakly-supervised classification framework built upon it and illustrate their use in addressing real-world healthcare problems.
  
  In the second part of the talk, I will present my current research, which builds upon and extends my doctoral thesis in several directions. These include the development of methods to improve the interpretability of language models through latent-variable approaches based on variational autoencoders, the use of large language models to generate synthetic clinical documents for data augmentation, and the application of Transformer architectures to model longitudinal sequences of patient events in electronic health records.
  
  Together, these research directions aim to develop scalable and interpretable machine learning methods that enable the effective use of clinical text and patient records in healthcare research and decision support.
  
  Contatto:
  andrea1.manzoni@polimi.it
- Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568
apr 21 mar 2026

MOX Events
Nicolò Botteghi, From Optimal Control to Reinforcement Learning: Opportunities and Challenges in Sequential Decision-Making, 21-04-2026, ore 11:45
- MOX Events
- Nicolò Botteghi
- Politecnico di Milano, DMAT, MOX Lab
- From Optimal Control to Reinforcement Learning: Opportunities and Challenges in Sequential Decision-Making
- Martedì 21 aprile 2026 alle ore 11:45
- Aula Saleri
- Abstract
  
  Optimal control and reinforcement learning share a common objective: the design of decision-making policies that optimize long-term performance objectives in dynamical systems. Despite their different historical origins – with optimal control rooted in mathematics and physics, and reinforcement learning in machine learning and artificial intelligence - their foundations are deeply interconnected.
  
  In this talk, starting from the optimal-control formulation, I will introduce the building blocks of reinforcement learning and explore the similarities and differences of the two approaches. Then, I will present a few approaches that I have recently developed to mitigate limitations of state-of-the-art reinforcement learning algorithms, namely (I) data inefficiency, (II) poor generalization to variations of the system dynamics, (III) limited robustness in presence of uncertainties and (IV) scalability to high-dimensional control problems. I will show applications of these reinforcement learning-based techniques to control problems frequently arising in engineering and applied science such as, for example, flow and density control, and navigation problems in unsteady flows. Eventually, I will provide an overview future research activities.
  
  Contatto:
  andrea1.manzoni@polimi.it
- Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568
apr 21 mar 2026

Seminar
Neofytos Rodosthenous, Regulation in a mean-field investment game with climate damage, 21-04-2026, ore 15:30
- Seminar
- Neofytos Rodosthenous
- University College London
- Regulation in a mean-field investment game with climate damage
- Martedì 21 aprile 2026 alle ore 15:30
- Aula seminari, 3° piano, e online (Microsoft Teams) shorturl.at/PR6hj
- Abstract
  
  We develop a mean-field model of firms investing in carbon-intensive (brown) capital, where productivity declines due to temperature-related climate damages linked to cumulative emissions. Firms aim to maximise expected discounted profits under stochastic capital dynamics driven by idiosyncratic shocks, facing a trade-off between investment-driven growth and increased emissions. We characterise the unique mean-field equilibrium as the solution to a coupled system of forward-backward ordinary differential equations. This framework also enables the analysis of optimal regulatory instruments — such as carbon emission taxes and brown production phase-out timelines — in line with long-term climate goals.
- Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568
apr 23 gio 2026

MOX Events
Teresa Bortolotti, Nonparametric statistical methods under noise and high dimensionality for monitoring and forecasting natural hazards, 23-04-2026, ore 11:00
- MOX Events
- Teresa Bortolotti
- Politecnico di Milano, DMAT, MOX Lab
- Nonparametric statistical methods under noise and high dimensionality for monitoring and forecasting natural hazards
- Giovedì 23 aprile 2026 alle ore 11:00
- Aula Saleri
- Abstract
  
  The increasing availability of large and complex ground displacement datasets creates new opportunities for natural hazard monitoring, but also poses significant methodological challenges arising from the high dimensionality of the data and from the presence of noise, broadly understood as partial observation and contamination in the recorded signals.
  
  My research develops nonparametric statistical methods for reliable inference in high-dimensional and noisy data, motivated by these challenges. Ground displacement measurements can naturally be represented as realizations of underlying continuous physical processes, for which functional data analysis provides a principled framework. Complementarily, conformal prediction enables finite-sample valid inference without relying on strong modeling assumptions. The combination of these perspectives yields robust and interpretable methods for monitoring ground displacement and natural hazards with explicit control of false alarms. Recent work investigates conformal methods that remain valid and informative under data contamination, addressing classification and scalar regression as initial steps toward more complex settings.
  
  Future research will extend conformal inference to regression problems with contaminated or partially observed responses, with the goal of improving the reliability and power of monitoring and forecasting tools for ground displacement data. At the same time, the nonparametric nature of these methods makes them applicable more broadly to high-dimensional and noisy data in other domains.
  
  Contatto:
  andrea1.manzoni@polimi.it
- Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568

apr 23 gio 2026

MOX Events
Giovanni Ziarelli, Leveraging machine learning surrogates for multi-query problems in mathematical epidemiology and cardiac electrophysiology, 23-04-2026, ore 11:45

MOX Events
Giovanni Ziarelli
Politecnico di Milano, DMAT, MOX Lab
Leveraging machine learning surrogates for multi-query problems in mathematical epidemiology and cardiac electrophysiology
Giovedì 23 aprile 2026 alle ore 11:45
Aula Saleri
Abstract

In the context of complex biological applications, numerical simulations suffer from the extremely high computational demand request for high-fidelity (and accurate) methods in multi-query regimes, e.g. when tackling optimal control, inverse and uncertainty quantification problems. In this talk, we will present some recent contributions regarding high-performance surrogate models, specifically designed to mitigate the bottlenecks of data scarcity and epistemic noise.

We first discuss the formalization of Kernel Operator Learning (KOL) schemes within mathematical epidemiology. We demonstrate their efficacy in retrieving reliable scenario analyses for non-pharmaceutical interventions and solving optimal control problems to determine minimum eradication times [1]. Furthermore, we present a hybrid end-to-end framework designed to infer transmission dynamics conditioned on exogenous parameters. This model’s robustness is validated in the influenza testcase in Italy [2].

The second part of the talk focuses on operator learning techniques in cardiac electrophysiology. We evaluate the performance of KOL and Fourier Neural Operators (FNOs) (adapted for unstructured domains) in reconstructing activation and repolarization maps, providing a computationally efficient tool for simulating clinical ablation procedures in patients with ectopic arrhythmias [3]. Finally, we tackle the inverse problem in electrophysiology, aimed at detecting ischemic regions from ECG signals by leveraging Latent Dynamics networks for approximating the forward problem.

[1] Ziarelli, G., Parolini, N., Verani, M. (2025). Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control. Numerical Mathematics: Theory, Methods and Applications, 18, 2:pp. 285–324
[2] Ziarelli, G., Pagani, S., Parolini, N., Regazzoni, F., Verani, M. (2025). A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts. Computer Methods in Applied Mechanics and Engineering, 437, 117796
[3] Ziarelli, G., Centofanti, E., Parolini, N., Scacchi, S., Verani, M., Pavarino, L. F. (2025). Learning cardiac activation and repolarization times with operator learning. PLOS Computational Biology, 22(1), e1013920

Contatto:
andrea1.manzoni@polimi.it
Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568

mag 04 lun 2026

mag 06 mer 2026

Convegno
Meeting on tomography and applications discrete tomography, neuroscience and image reconstruction 20th edition
04/05/2026 - 06/05/2026
- CONVEGNO
- TAIR
  Meeting on tomography and applications discrete tomography, neuroscience and image reconstruction 20th edition
- organizzatori
  Paolo Dulio - Politecnico di Milano; Paolo Finotelli – Université de Caen Normandie; Andrea Frosini - Università degli Studi di Firenze; Silvia Pagani - Università Cattolica del Sacro Cuore
- This is the 20th edition of the Meeting, whose original aim was to share interdisciplinary aspects between the experimental research concerning X-ray tomography and the mathematical image reconstruction community. In the years, the focus of the Meeting moved from strictly tomographic subjects to different topics, where some kinds of inverse problems are considered. So, different contributions coming from several research areas are now included in the program of the Meeting, such as neuroscientific imaging, discrete mathematic approaches to image reconstructions, combinatorial aspects, projections and sections properties of convex sets
- Lunedì 4 maggio 2026 - Mercoledì 6 maggio 2026
  Dipartimento di Matematica, Politecnico di Milano
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

mag 07 gio 2026

MOX Colloquia
Peter Bühlmann, Causality-Inspired Machine Learning: A Path to more Robust AI Systems, 07-05-2026, ore 14:30

MOX Colloquia
Peter Bühlmann
ETH Zürich
Causality-Inspired Machine Learning: A Path to more Robust AI Systems
Giovedì 7 maggio 2026 alle ore 14:30
Sala Consiglio
Abstract

The pursuit of reliable and robust machine learning has become a central focus, with statistics and data science playing pivotal roles in its advancement. We explore connections between distributional robustness and causality, providing methodological insights to enhance the reliability of AI systems. We examine the broader implications of these concepts through a case study in digital health and conclude by emphasizing the importance of rigorous real-world validation of machine learning and AI algorithms.

Peter Bühlmann

Peter Bühlmann is Professor of Mathematics and Statistics and Director of Foundations of Data Science at ETH Zürich. He received his Ph.D. from ETH Zürich in 1993, and after spending three years as a postdoctoral fellow and Neyman Assistant Professor at UC Berkeley, he returned to ETH Zürich as a faculty member in 1997. His research interests include high-dimensional statistics, causality, and interdisciplinary applications in biomedical sciences. He is a Fellow of the Institute of Mathematical Statistics (IMS) and served as IMS President in 2022-2023, a Fellow of the American Statistical Association, and he was Co-Editor of the Annals of Statistics 2010-2012. He received a Doctor Honoris Causa from the Université Catholique de Louvain in 2017, the Neyman Lectureship and Award 2018 and the Wald Lectureship and Award 2024 from the Institute of Mathematical Statistics, the Guy Medal in Silver 2018 from the Royal Statistical Society, and he is an elected Member of the German National Academy of Sciences Leopoldina since 2022.

Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568

giu 15 lun 2026

giu 19 ven 2026

Convegno
Indam workshop: geometry of severi varieties and hurwitz spaces
15/06/2026 - 19/06/2026
- CONVEGNO
- Indam workshop: geometry of severi varieties and hurwitz spaces
- organizzatori
  K. Christ, S. Molcho, S. Torelli
- Hurwitz spaces and Severi varieties are among the most classical spaces studied in algebraic geometry, going back to the beginnings of modern algebraic geometry in the second half of the 19th century. Since that time, they have remained central objects in the theory of algebraic curves. Though very classical objects, new techniques have in recent years been used to find answers to old questions, and to establish many new connections. The aim of the workshop is to bring together experts in these various approaches in order to explore further applications and possible synergies. Particular areas of focus are the global geometry of Severi varieties and Hurwitz spaces, as well as relations to Brill Noether theory and to the moduli space of curves and its subloci.
- Lunedì 15 giugno 2026 - Venerdì 19 giugno 2026
  Palazzone di Cortona, Cortona, Italy.
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568
giu 29 lun 2026

lug 03 ven 2026

Convegno
Commutative algebra and algebraic geometry in milan
29/06/2026 - 03/07/2026
- CONVEGNO
- CAAG26
  Commutative algebra and algebraic geometry in milan
- organizzatori
  A. Constantinescu, A. D'Alì, P. Lella, A. Sammartano
- The conference will be focused on the interplay between topics in commutative algebra, such as syzygies and singularities, and topics in algebraic geometry, such as moduli spaces and rationality problems. Speakers Ayah Almousa (University of Kentucky) Benjamin Briggs (Imperial College London) David Eisenbud (UC Berkeley) Eleonore Faber (University of Graz) Gavril Farkas (Humboldt-Universität zu Berlin) Michele Graffeo (SISSA Trieste) Eloísa Grifo (University of Nebraska-Lincoln) Srikanth Iyengar (University of Utah) Joachim Jelisiejew (University of Warsaw) Patricia Klein (Texas A&M University) Margherita Lelli-Chiesa (Università degli Studi Roma Tre) Alex Massarenti (Università degli Studi di Ferrara) Irena Peeva (Cornell University) Claudia Polini (University of Notre Dame) Elisa Postinghel (Università degli Studi di Trento) Claudiu Raicu (University of Notre Dame) Ritvik Ramkumar (University of Notre Dame) Francesco Russo (Università degli Studi di Catania) Alexandra Seceleanu (University of Nebraska-Lincoln) Bernd Ulrich (Purdue University) Keller VandeBogert (University of Kentucky) Matteo Varbaro (Università degli Studi di Genova
- Lunedì 29 giugno 2026 - Venerdì 3 luglio 2026
  Politecnico di Milano
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568
ago 31 lun 2026

set 03 gio 2026

Convegno
Late summer conference in geometric analysis
31/08/2026 - 03/09/2026
- CONVEGNO
- Late summer conference in geometric analysis
- organizzatori
  Luca Benatti, Mattia Fogagnolo, Alessandra Pluda, Marco Pozzetta, Alberto Roncoroni.
- This event brings together an international group of specialists to discuss cutting-edge topics in Geometric Analysis, such as minimal surfaces, isoperimetric problems, Lorentzian geometry, general relativity, geometric evolution equations, and geometric problems in the calculus of variations. Our goal is to turn recent progress into meaningful exchanges, giving participants fresh insights and new techniques to use in their own research on open problems.
- Lunedì 31 agosto 2026 - Giovedì 3 settembre 2026
  Università degli Studi di Padova
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

ott 01 gio 2026

MOX Colloquia
Rainer Helmig, Porous Media Free-Flow Coupling - From REV to Pore Scale and Back, 01-10-2026, ore 14:30

MOX Colloquia
Rainer Helmig
Professor Emeritus, University of Stuttgart
Porous Media Free-Flow Coupling - From REV to Pore Scale and Back
Giovedì 1 ottobre 2026 alle ore 14:30
Sala Consiglio, Edificio 14, Politecnico di Milano
Abstract

Flow and transport processes in domains composed of a porous medium and an adjacent free-flow region appear in a wide range of industrial, bio-medical and environmental applications. Industrial applications range from flow in fuel cells to drying processes; possible bio-medical applications include the interplay of distribution processes in blood vessels and in the surrounding tissue. Applications in environmental systems include infiltration of overland flow during rainfall, groundwater contamination due to infiltrating pollutants and evaporation from soil.

One of the key challenges for coupled free flow and porous-medium flow arises from the fact that the overall effective behaviour depends strongly on interface processes that occur on small spatial scales (pore scale), although the overall system of interest is often too large to resolve these processes explicitly in detail. REV-scale models are usually not able to capture all the relevant physical processes for such coupled systems. For the accurate description of interface phenomena, it is therefore necessary to develop model concepts that combine information gained through pore-scale and REV-scale models.

The first part of the lecture includes the following items:
-an explanation of relevant processes of mass, momentum and energy transfer at the interface between a free-flow and a porous-media system;
-a presentation of conceptual models for coupled single-phase free flow and two-phase porous-medium flow with a detailed description of the models in the free flow and in the porous medium for the pore and REV scale;
-comparison studies to show the advantages and disadvantages in relation to classical approaches; the coupling concepts are discussed on the basis of different technical or environmental issues.

In the second part of the lecture I would very much like to discuss the results on the basis of various detailed use cases. These include e.g. aspects of soil evaporation, heat storage in porous media, self-cooling of turbines or the salinization of soils.

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

Rainer Helmig

Rainer Helmig is Professor Emeritus of the Department of Hydromechanics and Modelling of Hydrosystems at the University of Stuttgart, Germany. He gained his doctoral degree from the University of Hannover in 1993 and a the Habilitation degree from the University of Stuttgart in 1997. In 1995, he was awarded the renowned "Dresdner Grundwasserforschungspreis" for his doctoral thesis. From 1997 to 2000, he held a professorship at the Technical University of Braunschweig. He was co-founder and, from 2009 to 2011, President of "InterPore"; from 2007 to 2015, he was spokesman of the International Research Training Group "NUPUS - Nonlinearities and upscaling in porous media", and from 2018 to 2023 he was spokesman of the Collaborative Research Centre 1313 “Interface-Driven Multi-Field Processes in Porous Media: Flow, Transport and Deformation”. From 2007 to 2018, he was a member of the Executive Board of Directors of the Cluster of Excellence Simulation Technology at the University of Stuttgart. He is member of Academy of Sciences, Academia Europaea, Heidelberg and acatech. In 2020, he was granted the AGU Fellowship of the American Geophysical Union. In 2022 he got the Honorary Degree of Doctor of Engineering at the Heriot-Watt University. He was awarded the Kimberly-Clark Distinguished Lectureship 2025 and in 2025 he was granted the SIAM Geosciences Career Prize.

Politecnico di Milano, Dipartimento di Matematica edificio 14, via E. Bonardi 9, 20133 Milano - Telefono: +39 02 2399 4505 - Fax: +39 02 2399 4568

ott 08 gio 2026

ott 09 ven 2026

Convegno
Algodefi 26: algorithmic trading, decentralized finance and artificial intelligence in capital markets
08/10/2026 - 09/10/2026
- CONVEGNO
- ALGODEFI26
  Algodefi 26: algorithmic trading, decentralized finance and artificial intelligence in capital markets
- organizzatori
  Emilio Barucci and Michele Azzone
- Dates: October 8–9, 2026 Venue: Department of Mathematics, Politecnico di Milano Submission and registration are open on the conference website. Call for Papers: Accepting full papers or extended abstracts Deadline for Submission: September 1st, 2026 Notification of Acceptance: September 15th, 2026 Deadline for Registration: September 25th, 2026 Keynote Speakers Eduardo Abi Jaber (École Polytechnique) Sebastian Jaimungal (University of Toronto) We will have an industry-Oriented Session in a dedicated afternoon. Scientific Committee Emilio Barucci (Chair), Tomaso Aste, Michele Azzone, Leandro Sánchez Betancourt, Andrea Prampolini Description The landscape of financial markets is changing significantly thanks to new technologies and methodologies that are profoundly modifying their architecture and functioning. Among the innovations, we have the possibility of operating using real-time market information, machine learning techniques, automatic trading strategies, automatic market making, distributed ledger technologies, digital assets, smart contracts, and cryptocurrencies. The objective of the workshop is to offer an opportunity for the academic and industrial communities to meet and discuss research advancements on these topics.
- Giovedì 8 ottobre 2026 - Venerdì 9 ottobre 2026
  Department of Mathematics
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568
nov 02 lun 2026

nov 06 ven 2026

Convegno
Model reduction and surrogate modeling 2026
02/11/2026 - 06/11/2026
- CONVEGNO
- MORe2026
  Model reduction and surrogate modeling 2026
- organizzatori
  Andrea Manzoni (Chair), Nicolò Botteghi, Luca Dede', Nicola Farenga, Nicola Rares Franco, Andrea Manzoni, Simona Perotto, Piermario Vitullo, Paolo Zunino (Organizing Committee)
- This 5-day conference will bring together the international community of computational scientists, engineers, mathematicians, and domain experts from industry, the national laboratories and academia to address the topic of model reduction and surrogate modeling for high-dimensional complex systems.
- Lunedì 2 novembre 2026 - Venerdì 6 novembre 2026
  Politecnico di Milano
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568
lug 05 lun 2027

lug 09 ven 2027

Convegno
International conference on spectral and high-order methods
05/07/2027 - 09/07/2027
- CONVEGNO
- ICOSAHOM2027
  International conference on spectral and high-order methods
- organizzatori
  P.F. Antonietti, N. Parolini, M. Verani (Conference Chairs), C. Canuto, A. Quarteroni (Honorary Chairs), L. Beirao da Veiga, F. Bonizzoni, L. Dede’, I. Fumagalli, P. Gervasio, C. Marcati, L. Mascotto, I. Mazzieri, S. Perotto, G. Sangalli
- Since 1989, the International Conference on Spectral and High-Order Methods (ICOSAHOM) has served as a leading international forum for researchers and practitioners working on the theoretical, computational, and applied aspects of high-order and spectral methods for solving differential equations. The 2027 edition of ICOSAHOM will be proudly hosted by Politecnico di Milano, bringing together experts from around the world to share the latest advances and foster new collaborations in this vibrant field. ICOSAHOM 2027 is a satellite meeting of the 11th International Congress on Industrial and Applied Mathematics (ICIAM), The Hague, The Netherlands, 12-16 July 2027.
- Lunedì 5 luglio 2027 - Venerdì 9 luglio 2027
  Politecnico di Milano
Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568