Current Teaching (University of Vienna, Austria)

• Fall 2023  Mathematics of Vision and Reinforcement Learning
• Spring 2023 Graph Algorithms and Machine Learning, Lecture course
• Spring 2022  Introduction to Reinforcement Learning, Lecture course (Some Videos)
• Fall 2021 Introduction to large scale geometry, Lecture course (Some Videos)

 

Previous Teaching (Rutgers University, USA)

• Spring 2018 Calculus 1 for the Mathematical and Physical Sciences

Previous Teaching (University of Vienna, Austria)

• WS 2013-14 Proseminar Analysis für PhysikerInnen, 2 Gruppen, zur Vorlesung von Gerald Teschl
• WS 2010-11 Proseminar Maß- und Integrationstheorie, zur Vorlesung von Günther Hörmann
• May 2010 Mini Course (at Aalto University): Introduction to Lefschetz fixed point theorems
  The course would be for 15 hours and is targeted at senior undergraduate students. The course assumes basic familiarity with Euclidian spaces and smooth functions on them and calculus in severable variables. It comprises of the following parts:
  a) Introduction to differential topology. Basic concepts like manifolds, Saard’s theorem and de-Rham cohomology would be introduced in simple terms.
  b) Transversality and orientation shall be described.
  c) Basics of intersection theory shall be described and stability under homotopy explained.
  d) The main statement and outline of proof of the classical Lefschetz fixed-point theorem is presented.
• Summer 2009 Introduction to spectral theory of differential operators

Previous Teaching (Pennsylvania State University, USA)

• I have previously taught Calculus, Linear Algebra, Differential equations etc. at the Pennsylvania State University.