Alexandros Sopasakis

Alexandros Sopasakis

Senior lecturer,

Personal profile


Machine learning (ML) and artificial inteligence (AI) models and applications. Modeling systems of microscopic and macroscopic interactants at different temporal and spatial scales. Examples include traffic flow models, micromagnetics, climate systems and many more. Forecasting and predictions with Tranformers and attention methods. Description of noise and Anamoly Detection methods are used to analyze signals but also in generating and learning data with methods such as Stable Difussion and Dinoising Diffusion Probabilistic Models (DDPM). Classical work has also been performed into analysis and generation of synthetic data for systems via machine learning methods such as generative GANs and VAEs or Natural Language Processing (NLP) methods. Graph Neural Networks are also explored within applications ranging from traffic networks to agriculture and harvest forecasting.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 15 - Life on Land

UKÄ subject classification

  • Other Computer and Information Science
  • Computer Vision and Robotics (Autonomous Systems)

Free keywords

  • Machine Learning
  • Artificial intelligence
  • Pattern Recognition
  • Signal Processing
  • Anomaly Detection
  • Computer Vision
  • supervised machine learning
  • unsupervised machine learning
  • Neural networks

Collaborations the last five years

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