CV

ATHANASIOS CHARISOUDIS

GitHub: charisoudis
LinkedIn: charisoudis
Address: Rotkreuz, Switzerland

Education

Sep 2024 — Nov 2025

External PhD Fellow (EDEE) — Signal Processing Laboratory 4 (LTS4)

École Polytechnique Fédérale de Lausanne (EPFL)

External doctoral-level fellow in EDEE, EPFL. Focusing on 3D Vision and Metric Deep Learning, under the joint advise of Prof. Aljosa Smolic (HSLU) and Prof. Pascal Frossard (EPFL).

2021 — 2024

M.Sc. — Machine Learning

KTH Royal Institute of Technology

Master's studies focused on Machine Learning. Emphasis on Computer Vision and Graphics with Deep Learning. Master's Project: Monocular Dynamic Motion Capture: A Regression-Optimization Hybrid Approach — Supervisor: Prof. Hedvig Kjellström

2015 — 2021

Diploma (MEng equivalent) — Electrical & Computer Engineering

Aristotle University of Thessaloniki

5-year ECE diploma (B.Sc. + M.Sc. equivalent). Final GPA: 8.87/10.00. Diploma Thesis: Generative Adversarial Networks for pose and style selection in fashion design applications — Supervisor: Prof. Pericles Mitkas

Experience

Apr 2024 — Present

Research Engineer — Hochschule Luzern (HSLU)

Rotkreuz, Switzerland

Working on volumetric 3D human representations. Currently trying to make Gaussian splats train fast and deform realistically. Advised by Prof. Aljosa Smolic.

  • Advisor: Prof. Aljosa Smolic (projects: TRANSMIXR, FaVoRe, HEAT)
  • Accelerated training and realistic deformations for Gaussian Splatting pipelines
  • Designed & operated a multiview RGB-D capture pipeline with calibration, synchronization and live previews
Feb 2022 — Feb 2023

Research Engineer & Teaching Assistant — KTH Royal Institute of Technology

Stockholm, Sweden

3D human-interaction modeling and TA for AI/ML courses.

  • Research Engineer (HiSS Project) — Advisor: Prof. Hedvig Kjellström
  • TA — DD2380 Artificial Intelligence (Search, HMMs, Decision Theory, RL)
  • TA — DD2434 Advanced Machine Learning (Probabilistic ML, GMs, VI, GNNs)
  • TA — DD1420 Foundations of Machine Learning (Probabilistic ML, VI, DL)
Jun 2022 — Sep 2022

Research Intern, Autonomous Systems R&D — SCANIA Group

Södertälje, Sweden

Data-driven Scenario-Based Validation (SBV) for Autonomous Driving stacks: 3D DL perception to traffic scenario identification and edge-case analysis.

Jul 2023 — Aug 2023

Full-Stack Developer — Short Engagement — Eurotechnik Ltd

Thessaloniki, Greece

Extended internal web systems; developed an Order Management System with OR methods (stock cutting, integer programming).

Mar 2015 — Nov 2020

Full-Stack Developer — Eurotechnik Ltd

Thessaloniki, Greece

Created a custom CRM + ERP and CMS in Laravel (LAMP), deployed on dedicated on-prem infrastructure. Administered exhibitions and company graphics.

Programming Skills

Very StrongStrongMedium
  • PYTHON – Deep Learning (PyTorch), TDD, Servers setup & management, ROS, Systems Programming
  • OpenGL – (python bindings) PyOpenGL, PyRender, pyglet
  • MATLAB – DL Toolbox, Robotics (Peter Corke), Fuzzy, Audio Coding, Adaptive Signal Processing, Control
  • C – Parallel Systems (PThreads, OpenMP, MPI, CUDA)
  • C – Operating Systems (Unix)
  • JAVA – UDP/TCP, Async IO/NIO, OOP, Algorithms & Data Structures
  • PHP – 5 years building PHP + Laravel apps on LAMP
  • MySQL – Production schemas (eurotechnik.gr, admin.eurotechnik.gr, ECESCON 11, Labyrinth)
  • GIT – 600+ contributions/year (avg)
  • ASSEMBLY – MIPS32, ATMEL AVR, ARMv6

External Courses & MOOCs

GANs Specialization (Coursera) — 3-course specialization

Coursera · 2020
Certificate

IELTS — overall band 8.0/9.0

University of Cambridge · 2021
Certificate

IEEEXtreme 10.0 — Finished 429/2500

IEEE · 2016

C2 Proficiency in English — grade B

University of Michigan · 2009
Certificate