Pedro Abranches (co-advised)
Machine Learning, Neuroscience
Arshia Afzal (co-advised)
Accelerating inference for machine learning algorithm Time-series analysis Efficient sequence modeling Neuroscience
Leyla Naz Candogan
Adversarial Machine Learning Robustness
Yi Feng (visiting PhD student)
Learning in Games Optimisation
Leello Tadesse Dadi
Optimization, Algorithms and Randomness.
Andrej Janchevski
Network Science, Graph Neural Networks, Graph Representation, Graph Prediction, Graph Generation
Ioannis Mavrothalassitis
Convex/Non-Convex Optimization, Machine Learning
Amira Neumann (co-advised)
Machine learning Explainable and interpretable AI AI for the medical field Power and memory efficient AI models
Thomas Pethick
Bayesian Optimization, Machine Learning
Pol Puigdemont Plana
Applied Machine Learning in Discrete or Constrained domains Combinatorial Optimization Graphs and Scheduling
Elias Abad Rocamora
Research Interests:Adversarial TrainingRobustness VerificationOptimization
Luca Viano
Reinforcement Learning, Imitation Learning, Optimization
Yongtao Wu
Deep learning Over-parametrized models
Zhengqing (Frank) Wu
Optimization, Explainability, Artificial intelligence
Wanyun Xie
Distributed machine learning, Optimization, Communication Systems.
Zhenyu Zhu
Machine Learning, Deep Learning Theory