Team
Principal Investigator
Melih Kandemir
Faculty member at SDU. Member of the ELLIS Society. Has published work on weakly-supervised Gaussian processes, deterministic variational Bayesian neural net inference, and neural stochastic process modeling.
Research Fellows
Abdullah Akgül
PhD student working on offline reinforcement learning
Bahareh Tasdighi
PhD student working on optimistic exploration in actor critic algorithms
Gülcin Baykal Can
Visiting PhD Student working on disentangled deep generative networks
Manuel Haussmann
Postdoc working on Bayesian methods for reinforcement learning
Nicklas Werge
Postdoc working on online learning with bandit algorithms
Yi-Shan Wu
Postdoc working on reinforcement learning theory
Alumni
PhD Students
Andreas Look (Research Scientist at Bosch Center for AI), Hamish Flynn (Postdoc at Universitat Pompeu Fabra), Manuel Haussmann (Postdoc at ADINLab)
MSc Students
Spring, 2024
Yousof Mersal, Frederik Gram Kortegaard, Lasse Usbeck Andresen, Anders Tobiesen Aabom, Alexander Justin Kopec Thiruchelvam, Remus-Stefan Cernat, Ida Overvad Bruun, Viktor Bjerg Nordstrøm, Nikolaj Flindt Holm Hansen, Marcus Poulsen, Marius Høivik Carlsen, Jessica Michelle Bruun, Michelle Sundstrøm Jensen
Fall, 2023
Daniela Haret, Nizar Abdel All, Simon Murrell, Istvan Turi, Anders Christensen
Spring, 2023
Christoffer Falk Bøgebjerg, Kira Løve Bøgeskov, Lasse Bohse Kyster, Nicolas Hamann Hiemstra von Arenstorff, Bi Yun Chen, Nickolaj Graby, Kenny Kazimirzak Brink
Fall, 2022
Helle Juul Hansen, Niklas Matzen Groth, Sarah Anne Pedersen