Nikos Dimitriadis
PhD candidate, Computer Science
LTS4 lab, EPFL
CV (Updated Dec 2020)

I am a first year PhD student in Computer Science at École Polytechnique Fédérale de Lausanne (EPFL), where I am advised by François Fleuret and Pascal Frossard, and I am collaborating closely with Claudiu Musat at Swisscom. My research interests revolve around machine (and deep) learning, optimization and mathematics. Currently, I am working on Multi-Task Learning and Customer Understanding.

Before coming to Switzerland, I completed my undergraduate studies in Electrical and Computer Engineering at the National Technical University of Athens in Greece. I conducted my thesis (available here in Greek) at the CVSP lab under the supervision of Petros Maragos. The focus lied on using tropical geometry to analyze Morphological Neural Networks, studying the sparsity of their representations compared to their linear counterparts, their ability to enforce shape constraints such as monotonicity, and extending a training algorithm based on Difference-of-Convex Programming to multiclass problems.

I am also an avid classical guitar player! I love playing Baroque and romantic pieces, such as compositions by Agustín Barrios Mangoré. Check out this beautiful performance!


Jan 2021
Oct 2020

One paper accepted at ICASSP 2021.
Started PhD in Computer Science at EPFL.

  1. Dimitriadis Nikolaos, Petros Maragos
    "Advances in morphological neural networks: training, pruning and enforcing shape constraints"
    International Conference on Acoustics, Speech, and Signal Processing, 2021
  2. Paper Presentation

  3. Dimitriadis Nikolaos, Petros Maragos
    "Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra"
    arXiv, 2020
  4. Paper


Oct 2020 - Present
Oct 2014 - Oct 2020
Oct 2018 - Oct 2020
Jul 2019

PhD in CS at EPFL
ECE at National Technical University of Athens
Finance at American College of Greece
Imperial College Business School summer school