Younes Pierre ZineExpertise
I mainly work on (deterministic and random) nonlinear PDEs by using techniques and insights from PDE theory, probability theory and Fourier analysis.My website:https://younes-zine.github.io
Expertise
I mainly work on (deterministic and random) nonlinear PDEs by using techniques and insights from PDE theory, probability theory and Fourier analysis.My website:https://younes-zine.github.io
Education Ph.D. | 2020 – 2023 The University of Edinburgh Pawel DuchExpertise
My present research focuses on the intersection between probability theory, PDE theory and Euclidean quantum field theory. I am especially interested in problems involving singular stochastic partial differential equations and renormalization. I have also a background in mathematical aspects of perturbative and axiomatic quantum field theory as well as general relativity.
I am a postdoctoral researcher in the group of Martin Hairer. Previously, I was a postdoc at Adam Mickiewicz University in Pozn
Radoslav MarchevskiTeaching & PhD PhD Students Jou An Chen, Tobias Alexandre Monnard, Xiafei Chang, Gauri Napoletano, Kerim Guseinov, Noémie Duc Courses Particle physics I PHYS-415 Presentation of particle properties, their symmetries and interactions.Introduction to quantum electrodynamics and to the Feynman rules. Particle physics: the flavour frontiers PHYS-471 This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and
Felipe Osiel Hernández CastroExpertise
My research interests lie mainly in Ergodic Theory, Arithmetic combinatorics, Ramsey Theory, and Multiplicative Number Theory.
Please visit my professional webpage for more information. Curriculum vitae CV
Teaching & PhDTeaching & PhD Teaching Assistant for the course Ergodic theory (Autumn semester 2023)Teaching Assistant for the course Discrete mathematics (Spring semester, 2024)Teaching Assistant for the course Measure and integration (Fall semester, 2024)Teaching Assistant for the course Disc
Xue-Mei Li-HairerTeaching & PhD PhD Students Johann Williams, Timon Miehling, Szymon Sobczak, Kexing Ying Courses Introduction to multi-scale stochastic dynamics MATH-487 This course introduces slow/fast systems and the mathematical tools used to derive effective equations governing their behaviour. Students will learn core concepts and techniques for rigorously analysing complex stochastic multi-scale systems.
Luis Miguel Garcia MartinTeaching & PhD Courses Master project in Physics PHYS-599(b) The student realises a research project in a physics laboratory or in a company. Particle physics: the flavour frontiers PHYS-471 This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and their role in the development of the Standard Model of particle physics.
Guillaume Marie BlancTeaching & PhD Courses Martingales and Brownian motion MATH-330 Introduction to the theory of discrete-time martingales (optional stopping and convergence theorems) and its applications (gambler's ruin, branching processes, Pólya urns...). Introduction to Brownian motion.
Parmenion MavrikakisExpertise
Computational electromagnetics, integral equations, finite element analysis, metasurfaces, photonics, plasmonics and microwaves.
Current Work
Developing a C++ code for the modeling of light scattering in layered media with the surface integral equation method.
I am a PhD student in the Electrical Engineering Department (EDEE) at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Nanophotonics and Metrology Laboratory (NAM), part of the Microengineering Department (IEM) at EPFL. M
Aline ZanardiniTeaching & PhD Courses Advanced linear algebra I MATH-110(b) The purpose of this course is to introduce the basic notions of linear algebra and to prove the main results of the subject. Algebra V - Galois theory MATH-317 Galois theory lies at the interface of Field Theory and Group Theory. It aims to describe the algebraic symmetries of fields. We will focus on Galois theory for finite field extensions and some applications. Algebraic geometry I - Curves MATH-328
Esteban Curras RiveraTeaching & PhD Courses Master project in Physics PHYS-599(b) The student realises a research project in a physics laboratory or in a company. Specialisation semester PHYS-597 Students have the opportunity to apply their knowledge in a project contributing to specialize them in a physics field. The project can take place in an external or internal laboratory or in a research institute.
Mattia Guerino VarroneExpertise
I began my doctoral studies in 2023, focusing on fundamental theoretical physics. My research interests include quantum gravity, cosmology, and quantum field theory. Currently, I am investigating the interactions of quantum fields and gravitational fluctuations during the inflationary epoch of the early universe. Additionally, I am exploring the role of wormholes in quantum gravity and their impact on entropy, especially in de Sitter spacetime.
Publications
https://inspirehep.net/authors/2746964
E Roberto RibattiTeaching & PhD Courses Specialisation semester PHYS-597 Students have the opportunity to apply their knowledge in a project contributing to specialize them in a physics field. The project can take place in an external or internal laboratory or in a research institute.
Rajita Ramesh ChandakExpertise
Nonparametric estimation, statistical inference, theory of machine learning
Teaching & PhD Courses Nonparametric estimation and inference MATH-524 Nonparametric models are used to identify a wide range of relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory. Statistical inference MATH-562 Inference from the particular to the general based on probability models is central to the statistica
Mathias Viktor Joachim BraunTeaching & PhD Courses Analysis IV MATH-207(d) The course studies the fundamental concepts of complex analysis and Laplace analysis with a view to their use to solve multidisciplinary scientific engineering problems. Functional analysis II MATH-404 We introduce locally convex vector spaces. As an example we treat the space of test functions and the space of distributions. In the second part of the course, we discuss differential calculus in Banach spaces and some elements fro
