PhD Courses

Courses 2025-26
SSD Name of the course Professor Semester Language Credits
MAT/05 (BA) Elliptic-parabolic degenerate operators Biagi, Bramanti Spring English 5
SECS-S/01 (BA) Advanced Statistical Learning for complex data Ieva   English 5
MAT/07 (BA) MAT/06 Introduction to Entropy Jaksic Winter English 5
MAT/08 (BA) MAT/03 Analytic and topological aspects in Scientific Machine Learning Lella, Regazzoni Winter English 5
MAT/08 (SC) Numerical Algorithms for Optimization Formaggia, Verani Winter English 5
MAT/05 (SC) Some mathematical aspects of Nonlinear Diffusion Muratori, Volzone Winter English 5
  Advanced mathematical methods in engineering I Correggi     5
  Advanced mathematical methods in engineering II Correggi     5
Upcoming events

  • dec 15 mon 2025

    		Seminar
    Marco Bagnara, Anomalous Regularization in Kazantsev-Kraichnan Model,  12-15-2025, 16:00
    logo matematica
    • Seminar
    • Marco Bagnara
    • Imperial College London
    • Anomalous Regularization in Kazantsev-Kraichnan Model
    • Monday, 15 December 2025 at 16:00
    • Aula Seminari - III piano. Zoom link: polimi-it.zoom.us/j/98912431075
    • Abstract
      We investigate a passive vector field which is transported and stretched by a divergence-free Gaussian velocity field, delta-correlated in time and poorly correlated in space (spatially nonsmooth). Although the advection of a scalar field (Kraichnan's passive scalar model) is known to enjoy regularizing properties, the potentially competing stretching term in vector advection may induce singularity formation. We establish that the regularization effect is actually retained in certain regimes. While this is true in any dimension $d\ge 3$, it notably implies a regularization result for linearized 3D Euler equations with stochastic modeling of turbulent velocities, and for the induction equation in magnetohydrodynamic turbulence.
      The presentation is based on a joint work with Francesco Grotto and Mario Maurelli.

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

  • dec 16 tue 2025

    		Seminar
    Giovannina Albano, Il tetraedro della didattica: un modello sistemico per osservare i processi di insegnamento\apprendimento in ambienti digitali,  12-16-2025, 10:45 precise
    logo matematica
    • Seminar
    • Giovannina Albano
    • DIEM - Università di Salerno
    • Il tetraedro della didattica: un modello sistemico per osservare i processi di insegnamento\apprendimento in ambienti digitali
    • Tuesday, 16 December 2025 at 10:45 right
    • Aula Laboratorio FDS
    • Abstract
      Da quando il mondo dell'educazione viene continuamente e profondamente pervaso dalla tecnologia, molti ricercatori stanno riflettendo su come cambiano i processi di insegnamento/apprendimento in ambienti digitali. In questo seminario, presentiamo un nuovo modello sistemico, che può essere considerato un’estensione del triangolo didattico allievo-insegnante-sapere (Chevallard, 1985), tenendo conto della massiccia introduzione e dell’uso delle tecnologie e articolando in modo più dettagliato il ruolo del docente. Il triangolo didattico diventa un tetraedro, i cui vertici sono l’Autore (A), lo Studente (S), il Tutor (T) e la Conoscenza matematica (M). L’introduzione del vertice A deriva dalla convinzione che il pieno sfruttamento didattico dell’ambiente digitale richieda interventi didattici ben progettati, non solo in termini di trasposizione didattica, ma anche di ingegneria didattica. Il vertice T si riferisce a chi facilita l’apprendimento dello studente, dal docente classico a qualsiasi altra figura di supporto. La tecnologia è presente sia dentro che fuori dal sistema didattico, a seconda che sia usata o meno con intenzione didattica, per cui è rappresentata da due sfere, una interna e una esterna al tetraedro. Presenteremo alcuni esempi paradigmatici di uso del modello, nei quali discuteremo il processo di insegnamento/apprendimento attraverso i vertici e le facce del tetraedro.

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

  • dec 17 wed 2025

    		Seminar
    Vladimir Bolotnikov, The Carathéodory interpolation problem over quaternions and related questions,  12-17-2025, 17:00 precise
    logo matematica
    • Seminar
    • Vladimir Bolotnikov
    • College of William and Mary
    • The Carathéodory interpolation problem over quaternions and related questions
    • Wednesday, 17 December 2025 at 17:00 right
    • On-Line (il link verrà reso disponibile il giorno del seminario)
    • Abstract
      The classical Carathéodory interpolation problem consists of finding all analytic functions mapping the open unit disc of the complex plane into itself with prescribed first $n$ Taylor coefficients at the origin. The problem was the central topic of Rendiconti del Circolo Matematico di Palermo 32 (1911) and was completely solved by I. Schur in Crelle 147 (1917). We will discuss this problem in the quaternionic setting using the ideas from those original papers combined with several facts from quaternion linear algebra.Also, we will show how similar ideas apply to the minimum degree rational interpolation.

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

  • jan 14 wed 2026

    		Seminar
    Francesca Ceragioli, Marco Abrate, Exploring Math: La bellezza delle curve parametriche,  01-14-2026, 15:00 precise
    logo matematica
    • Seminar
    • Francesca Ceragioli, Marco Abrate
    • Politecnico di Torino, IIS Fermi-Galilei Ciriè (TO)
    • Exploring Math: La bellezza delle curve parametriche
    • Wednesday, 14 January 2026 at 15:00 right
    • Aula Laboratorio FDS - tiny.cc/zoomfds
    • Abstract
      Exploring Math è il titolo di un libro che raccoglie l’esperienza del La.M.Po. (Laboratorio di Matematica del Politecnico di Torino) attraverso la descrizione di nove attività di laboratorio, inizialmente pensate per il primo anno di università e facilmente adattabili alla scuola secondaria. Queste attività sono state ideate per stimolare l’interesse per la matematica e per incoraggiarne lo studio: rendono la classe attiva mettendo al centro oggetti concreti e problemi reali. Pensiamo al problema di tracciare curve nel piano: non riguarda solo i matematici, ma anche, ad esempio, gli ingegneri meccanici e i costruttori. Questo è lo spunto per discutere di meccanismi che tracciano curve, interpretate come curve parametriche. Parleremo in particolare di come tracciare una retta. Non è facile come sembra.

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

  • jan 15 thu 2026

    		MOX Colloquia
    Marie Rognes, Exciting times: high-fidelity modeling of living tissues  ,  01-15-2026, 14:00
    logo matematica
    MOX

    • MOX Colloquia
    • Marie Rognes
    • Simula Research Laboratory
    • Exciting times: high-fidelity modeling of living tissues  
    • Thursday, 15 January 2026 at 14:00
    • Aula Consiglio VII piano - Dipartimento di Matematica
    • Abstract
      Over the last three decades, advances in bioimaging have revolutionized our ability to study the structure and function of living systems. At the nano- to microscale, the new capabilities of cellular microscopy have resulted in the generation and wide availability of large-scale high-resolution imaging data, as strikingly exemplified by increasingly complex dense reconstructions of cortical tissue. In parallel, research in scientific computing and computational mathematics have led to the development of highly accurate, efficient and scalable numerical algorithms and their realization in open scientific software. In this talk, I will show how we, in the last few years, have developed high-fidelity computational models of cellular and subcellular physiology, incorporating detailed geometric structure, biophysical dynamics and advanced cell imaging data. I will highlight key numerical challenges - some that we have tackled and some open problems - and point at future directions.

      Contatto:
      paola.antonietti@polimi.it
    • Marie Rognes

      Marie Rognes

      Marie E. Rognes is Chief Research Scientist in Scientific Computing and Numerical Analysis at Simula Research Laboratory, Oslo, Norway and Deputy Director of the K. G. Jebsen Centre for Brain Fluid Research. Her work targets frontier research both in computational mathematics and the neurosciences, focusing on numerics for partial differential equations, high-performance mathematical software, and high-fidelity modelling of excitable tissue. She received her Ph.D from the University of Oslo in 2009 after an extended research stay at the University of Minnesota Twin Cities, Minneapolis, US. She has been at Simula Research Laboratory since 2009, and led its Department for Biomedical Computing from 2012 to 2016. She held a Professor II position (20%) at the Department of Mathematics, University of Bergen, Norway (2020-2022), and was a Visiting Fulbright Scholar at the Institute for Engineering in Medicine, University of California San Diego, CA, US (2022-2023).

      Rognes is a member of the Norwegian Academy for Technological Sciences (2022-) and was a Founding Member of the Young Academy of Norway in 2016. She won the 2018 Royal Norwegian Society of Sciences and Letters Prize for Young Researchers within Mathematics and the Natural Sciences and the 2015 Wilkinson Prize for Numerical Software. She was awarded an ERC Starting Grant in Mathematics in 2017, and has been awarded a series of ground-breaking research grants from the Research Council of Norway since 2016. She is a member of the Research Council of Norway's Portfolio Board for ground-breaking research (2024-), the European Mathematical Society's Committee for Applications and Interdisciplinary Relations (2023-), the Interpore Council (2023-), and the FEniCS Steering Council (2016-2024), in addition to six Editorial Boards spanning pure and applied mathematics, scientific computing and mathematical software. Rognes has supervised more than 8 postdoctoral fellows, 16 PhD or DPhil students, and 13 MSc students in the period 2012-2024.

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

  • jan 16 fri 2026

    		MOX Seminar
    Pierfrancesco Beneventano, Edge of Stochastic Stability: SGD does not train neural networks as you expect,  01-16-2026, 11:00
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    MOX

    • MOX Seminar
    • Pierfrancesco Beneventano
    • Center for Biological, Computational Learning, MIT
    • Edge of Stochastic Stability: SGD does not train neural networks as you expect
    • Friday, 16 January 2026 at 11:00
    • Aula Saleri
    • Abstract
      Recent findings demonstrate that when training neural networks using full-batch gradient descent with step size eta, the largest eigenvalue lambda of the full-batch Hessian consistently stabilizes around 2/eta. These results have significant implications for convergence and generalization. This, however, is not the case for mini-batch optimization algorithms, limiting the broader applicability of the consequences of these findings. We show that mini-batch Stochastic Gradient Descent (SGD) trains in a different regime, which we term Edge of Stochastic Stability (EoSS). In this regime, what stabilizes at 2/eta is Batch Sharpness: the expected directional curvature of mini-batch Hessians along their corresponding stochastic gradients. As a consequence, lambda---which is generally smaller than Batch Sharpness---is suppressed, aligning with the long-standing empirical observation that smaller batches and larger step sizes favor flatter minima. We further discuss implications for m! athematic al modeling of SGD trajectories.

      Contatto:
      paolo.zunino@polimi.it

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

  • jan 21 wed 2026

    		Seminar
    Anita Pasotti, Navigando con la Matematica,  01-21-2026, 15:00 precise
    logo matematica
    • Seminar
    • Anita Pasotti
    • Università di Brescia
    • Navigando con la Matematica
    • Wednesday, 21 January 2026 at 15:00 right
    • Aula Laboratorio FDS - tiny.cc/zoomfds
    • Abstract
      In questo seminario si esploreranno alcuni aspetti applicativi della Teoria dei Grafi e dell'Ottimizzazione Combinatoria, due settori della Matematica che hanno avuto un grande sviluppo negli ultimi decenni grazie alla loro capacità di modellizzare e risolvere problemi
      reali. L'intervento, che non richiede prerequisiti specifici, avrà un taglio divulgativo e sarà ricco di esempi per mostrare come la matematica sia fondamentale nel nostro quotidiano.

      Nella parte introduttiva si mostreranno appunto esempi concreti di utilizzo dei grafi in ambiti diversi: dalle neuroscienze per lo studio di malattie degenerative quali l'Alzheimer, allo studio delle relazioni tra utenti di un social network. Poi l'attenzione si sposterà sul settore dei trasporti, ambito in cui la teoria dei grafi trova grandi applicazioni. In particolare, verrà spiegato, in modo semplice e intuitivo, l'algoritmo di Djikstra alla base dei navigatori GPS, facendo alcuni richiami sugli algoritmi e ricordando figure fondamentali dal punto di vista storico quali Abu Ja'far Muhammad ibn Musa al-Khwarizmi e Ada Lovelace.

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

  • jan 28 wed 2026

    		Seminar
    Annalisa Cusi, Francesco Contel, L'uso dell'IA Generativa per supportare i processi metacognitivi nel problem solving matematico: criticità e sfide,  01-28-2026, 15:00 precise
    logo matematica
    • Seminar
    • Annalisa Cusi, Francesco Contel
    • Sapienza Università di Roma
    • L'uso dell'IA Generativa per supportare i processi metacognitivi nel problem solving matematico: criticità e sfide
    • Wednesday, 28 January 2026 at 15:00 right
    • Aula Laboratorio FDS - tiny.cc/zoomfds
    • Abstract
      In questo seminario saranno discussi i risultati di recenti studi mirati a investigare potenzialità e criticità connesse all’uso dell’IA generativa come strumento a supporto dei processi metacognitivi nella risoluzione di problemi matematici. Gli studi condotti hanno riguardato, in particolare, l’uso di GPT4o, da parte di studenti del biennio della scuola secondaria di II grado, per affrontare problemi che coinvolgono processi di esplorazione in ambito aritmetico, lo sviluppo di congetture e la costruzione di dimostrazioni attraverso l’uso del linguaggio algebrico.
      A partire dalla riflessione sui principali schemi d’uso sviluppati dagli studenti nel corso della loro interazione con GPT4o e sulle interpretazioni che gli studenti danno dei processi di genesi strumentale che li vedono protagonisti, si evidenzieranno elementi di criticità caratterizzanti l’interazione tra utenti umani e IA generativa. Si concluderà proponendo spunti sul ruolo che i docenti possono svolgere nel supportare gli studenti nell’adottare un approccio critico e riflessivo all’uso dell’IA generativa nel problem solving matematico.

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

  • jan 29 thu 2026

    jan 30 fri 2026

    		WorkShop
    Siam chapters meeting for young researchers in applied mathematics and scientific computing
    01/29/2026 - 01/30/2026
    logo matematica
    • WORKSHOP
    • SCYRAM
    • organizers
      Davide Carrara, Luca Sosta, Giovanni Ziarelli, Luca Formaggia
    • The SIAM Chapter Meeting in Applied Mathematics will take place on 29-30 January 2026 at Politecnico di Milano, following the success of the first Joint GNCS-SIAM Chapters Meeting for Young Researchers in Numerical Analysis and Applied Mathematics. This event offers an excellent opportunity to foster scientific interaction among young researchers in applied mathematics, numerical analysis, scientific computing, and statistical learning. The program will include keynote lectures by senior researchers, invited and contributed talks by young scientists (PhD students and PostDocs), and a poster session. This year, the poster session will be complemented by an elevator pitch format, where each presenter will give a three-minute flash talk to introduce their work and encourage engagement and discussion. The meeting is jointly organised by the Italian SIAM Chapters at Politecnico di Milano (PoliMi), Scuola Internazionale Superiore degli Studi Avanzati (SISSA), Università di Genova (UniGe), Università di Pavia - IMATI (UniPV-IMATI), and Università di Pisa - Scuola Normale Superiore (UniPi-SNS). This event is partly funded by GNCS-INdAM and held under the patronage of the Società Italiana di Matematica Applicata e Industriale (SIMAI). Submissions and participation are warmly encouraged from researchers across all Italian universities and research centres. The event is part of the activities of the Department of Excellence 2023-2027 (Dipartimento di Matematica - Politecnico di Milano).
    • Thursday, 29 January 2026 - Friday, 30 January 2026
      Politecnico di Milano, Edificio 13 (Trifoglio)
    Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • feb 05 thu 2026

    feb 06 fri 2026

    		WorkShop
    Genova, torino, milano seminar - some topics in commutative algebra and algebraic geometry
    02/05/2026 - 02/06/2026
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    • WORKSHOP
    • GTM26
    • organizers
      A. Alzati, E. Carlini, A. Garbagnati, P. Lella, E. Martinengo, E. Romano, M. Varbaro
    • This workshop is the latest edition of a series organized periodically and jointly by colleagues from Genova, Torino and Milano since 2008. These Italian cities are quite close between each other, forming the vertices of an almost equilateral triangle. We took advantage of such a convenient geographical situation to regularly organize small workshops, with researchers from the three cities (and usually one or two external guests) as speakers. The aim is to give both an overview on some recent results on Commutative Algebra and Algebraic Geometry, and the opportunity for researchers working on similar topics to compare recent results and techniques. The outcome is to strengthen past and present collaborations and to give young researchers the opportunity to present their results. Previous editions took place in Torino (September 2008, April 2010, June 2012, October 2014, Novembre 2017, September 2021, November 2024), Genova (March 2009, February 2011, March 2013, February 2016, February 2017, September 2019, June 2023) and Milano (November 2009, November 2011, January 2014, September 2015, July 2018, February 2024).
    • Thursday, 5 February 2026 - Friday, 6 February 2026
      Dipartimento di Matematica, Università degli Studi di Genova
    Politecnico di Milano, Dipartimento di Matematica ed. 14 "Nave", Piazza Leonardo da Vinci, 32, 20133 Milano, Telefono: +39 0223994505 - Fax: +39 0223994568

  • feb 11 wed 2026

    		Seminar
    Mirko Maracci, Quale preparazione in matematica per l'università? come valutarla?,  02-11-2026, 15:00 precise
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  • mar 05 thu 2026

    		MOX Colloquia
    Tilmann Gneiting, Assessing Monotone Dependence,  03-05-2026, 14:00
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    MOX

    • MOX Colloquia
    • Tilmann Gneiting
    • HITS Heidelberg Institute for Theoretical Studies
    • Assessing Monotone Dependence
    • Thursday, 5 March 2026 at 14:00
    • Aula Consiglio - VII piano
    • Abstract
      The assessment of monotone dependence between random variables $X$ and $Y$ is a classical problem in statistics and a gamut of application domains. Consequently, researchers have sought measures of association that are invariant under strictly increasing transformations of the margins, with the extant literature being splintered. Rank correlation coefficients, such as Spearman's rho and Kendall's tau, have been studied at great length in the statistical literature, mostly under the assumption that $X$ and $Y$ are continuous. In the case of a dichotomous outcome $Y$, receiver operating characteristic (ROC) analysis and the asymmetric area under the ROC curve (AUC) measure are used to assess monotone dependence of $Y$ on a covariate $X$. In this talk I demonstrate that the two thus far disconnected strands of literature can be unified and bridged, by developing common population level theory, common estimators, and common tests that apply to all types of linearly ordered outcomes. In case studies, we assess progress in artificial intelligence (AI) based weather prediction and evaluate methods of uncertainty quantification for the output of large language models. The talk is based on joint work with Eva-Maria Walz and Andreas Eberl.
    • Tilmann Gneiting

      Tilmann Gneiting

      Tilmann Gneiting received a PhD degree in Mathematics from the University of Bayreuth in Germany in 1997. From 1997 to 2009, he held faculty positions in the Department of Statistics at the University of Washington in Seattle (United States), before moving to the Institute of Applied Mathematics at Heidelberg University in Germany. Since 2013, he has been serving in a joint position as Professor of Computational Statistics at Karlsruhe Institute of Technology (KIT) and Group Leader at the Heidelberg Institute for Theoretical Studies (HITS). Tilmann's research focuses on two main areas, spatial and spatio-temporal statistics, and the theory and practice of forecasting. In 2011, he was awarded an ERC Advanced Grant in support of his research on probabilistic predictions. From 2016 to 2018 Tilmann served as Editor-In-Chief for the Annals of Applied Statistics, and in 2023 and 2024 he held the position of Scientific Director at HITS. Recent awards include the Ulf Grenander Prize in Stochastic Theory and Modeling (2024) by the American Mathematical Society and the Wald Memorial Award (2026) by the Institute of Mathematical Statistics.

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

  • mar 19 thu 2026

    		MOX Colloquia
    Sebastian Geiger, Modelling for understanding – old problems and new challenges for the energy transition,  03-19-2026, 14:00
    logo matematica
    MOX

    • MOX Colloquia
    • Sebastian Geiger
    • Delft University of Technology
    • Modelling for understanding – old problems and new challenges for the energy transition
    • Thursday, 19 March 2026 at 14:00
    • Sala Consiglio, Dipartimento di Matematica, Politecnico di Milano
    • Abstract
      Geoenergy applications beyond hydrocarbons will play an essential role in accelerating the energy transition: Carbon capture and storage (CCS) is one of the most important approaches to mitigate CO2 emissions; approximately 50% of the energy consumed in the northern hemisphere is needed for heating and cooling, and the expanded use of geothermal energy could lead to significant CO2 reduction; the development of a hydrogen economy for power, transport, and production will rely on intermittent hydrogen storage in geological formations or salt caverns.

      All these low-carbon geoenergy applications need bespoke reservoir modelling approaches to estimate available pore volumes for storage, capture how fluids with vastly different properties (e.g. hydrogen vs. hot water) interact with multi-scale geological heterogeneities, and quantify possible operational risks (e.g., early breakthrough of cold water during geothermal energy extraction) while accounting for the uncertainties inherent to geological formations.

      This talk will explore how mathematical techniques could be adapted to overcome limitations in existing modelling approaches for low-carbon geoenergy applications. Such new modelling approaches should help to ensure that we design meaningful reservoir models that can provide reservoir performance forecasts with reliable uncertainty bounds, which are needed for new geoenergy applications to advance our transition to a low-carbon energy future.

      Contatto:
      alessio.fumagalli@polimi.it
    • Sebastian Geiger

      Sebastian Geiger

      Prof. Dr. Sebastian Geiger, FREng, FRSE, FGS is the Professor of Sustainable Geoenergy and Energi Simulation Chair at the Department of Geoscience and Engineering at the Delft University of Technology. Before joining the Delft University of Technology in 2022, he spent 16 years at Heriot-Watt University where he held the Energi Simulation Chair for Fractured and Geothermal Reservoirs, was the Director of the Institute of Geoenergy Engineering, and was Director of Research for the School of Energy, Geoscience, Infrastructure, and Society.

      Sebastian received a PhD degree in Computational Geology from ETH Zurich in 2004 and worked at ETH Zurich as a postdoctoral researcher. He holds an MSc degree in Hydrogeology from Oregon State University (2000) and a Vordiplom (equivalent to BSc degree) in Geology and Mineralogy from the University of Freiburg, Germany (1997). He joined Heriot-Watt University in 2006 as an Assistant Professor and was promoted to Associate Professor in 2009 and Full Professor in 2010.

      In 2017 Sebastian received the Alfred Wegener Award from the European Association of Geoscientists and Engineers (EAGE). In 2020 he was appointed as a Fellow of the Royal Society of Edinburgh, Scotland’s national academy of science and letters. In 2022 he was elected as a Fellow of the Royal Academy of Engineering in the UK and in 2024 as a Fellow of the Geological Society of London. He has published over 200 reviewed conference papers and peer-reviewed journals and edited one book. He graduated over 30 PhD students, supervised over 100 MSc project theses, and trained over 10 postdoctoral researchers.

      Sebastian is the Editor-in-Chief for the journal Geoenergy and works closely with professional societies such as the European Association of Geoscientists and Engineers. He is also an instructor for HOT Engineering, is a Board Member for the Scottish Energy Forum, and a scientific advisor to NAGRA (Swiss National Cooperative for the Disposal of Radioactive Waste). Together with Dr Hadi Hajibeygi, he created the Geoscience and Geoenergy YouTube Channel, which broadcasts webinars to an audience of over 3700 subscribers across the world.

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

  • jun 29 mon 2026

    jul 03 fri 2026

    		WorkShop
    Commutative algebra and algebraic geometry in milan
    06/29/2026 - 07/03/2026
    logo matematica
    • WORKSHOP
    • CAAG26
    • organizers
      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
    • Monday, 29 June 2026 - Friday, 3 July 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