Department · vaiu-cai-aiml-*
The design, theory, and application of intelligent systems that learn, reason, perceive, and act — from statistical learning to modern deep and foundation models.
Research areas
Faculty directory
Department chair · Machine Learning
Prof. Petra Maddox
Statistical & supervised learning, Probabilistic models, and Learning theory.
Professor · Deep Learning
Prof. Freya Sable
Neural network architectures, Optimization & training, and Foundation & generative models.
Professor · Natural Language Processing
Prof. Andrei Ulric
Language models & LLMs, Semantics & information extraction, and Speech & multilingual NLP.
Professor · Computer Vision
Prof. Milan Reth
Visual recognition & detection, 3D & scene understanding, and Multimodal perception.
Professor · Reinforcement Learning & Robotics
Prof. Freya Ostra
Reinforcement & sequential decision making, Robot learning & control, and Planning & multi-agent systems.
Professor · Trustworthy & Ethical AI
Prof. Diego Veir
AI safety & alignment, Fairness, interpretability & robustness, and AI governance & policy.
