Ann Nowé

ann.nowe@vub.be
+32 2 629 38 61
Pleinlaan 9, 1050 Brussels, 3rd floor

Ann Nowé

Professor, Head of Lab

Biography

Ann Nowé graduated from the University of Ghent in 1987, where she studied mathematics with optional courses in computer science. She then became research assistant at the University of Brussels where she finished her PhD in 1994 in collaboration with Queen Mary and Westfield College, University of London. The subject of her PhD is located in the intersection of Computer Science ( A.I.), Control Theory (Fuzzy Control) and Mathematics (Numerical Analysis, Stochastic Approximation). After a period of 3 years as senior research assistant at the VUB, she became a Postdoctoral Fellow of the Fund for Scientific Research-Flanders (F.W.O.). Nowadays, She is a professor both in the Computer Science Department of the faculty of Sciences as in the Computer Science group of the Engineering Faculty

Publications

Research projects

BRiDGEIRIS – Brussels big data platform for sharing and discovery in clinical Genomics

C-CURE: Cost-Sensitive Dynamic User Authentication with Reinforcement Learning

SeCloud: Security-driven Engineering of Cloud-based applications

An integrated Methodology to bring Intelligent Robotic Assistive Devices to the user (MIRAD)

Personalized Products Emerging from Tailored User Adapting Logic (Perpetual)

Coordinating Human and Agent Behaviour in Collective-Risk Scenarios

Fleet Reinforcement Learning for Wind Farm Control

Stable MultI-agent LEarnIng for neTworks (SMILE-IT)

Learning optimal preventive strategies to mitigate epidemics of latent infectious diseases

Multi-agent reinforcement learning of coordination and problem structure

A SCAlable and modular system for eneRGY trading between prosumers (SCANERGY)

Online multi-criteria reinforcement learning

Operator Info

Adaptive multi-objective metaheuristics for energy saving problems

Learning Control for Production Machines (Lecopro)

INSILICO – The in silico Wet Lab

Design of new multi-domain network algorithms

DiCoMas

Multi agent reinforcement learning in large state spaces

Multi-type ant colony optimization

Distributed reinforcement learning for multi-agent sequential decision problems

Study of Traffic Engineering in IP-over-Optical NetworksPublications on VUB CRIS

Courses

Multi-agent Learning Seminar

Machine Learning