Note: Hannes Nickisch has transitioned from the institute (alumni).
My research is focussed on approximate inference and estimation in generalised linear models such as Gaussian processes and sparse linear models. Applications include MRI sequence design and image reconstruction as well as density estimation and classification.
For details, visit my homepage.
JOB
since 03/11: Philips Research Laboratories Hamburg
Research Scientist
STUDY/EDUCATION
10/10 – 03/11: Max-Planck-Institute for Biological Cybernetics
Department: Empirical Inference for Machine Learning and Perception
PostDoc
10/06 – 09/10: Max-Planck-Institute for Biological Cybernetics
Department: Empirical Inference for Machine Learning and Perception
Ph.D. student
10/04 – 09/06: Berlin University of Technology
Dual Degree of Computer Science (Maîtrise & Diplom)
Major: Artificial Intelligence, Neural Information Processing
Minor: Statistics, Pattern Recognition and Image Processing
Diploma Thesis: “Extraction of visual features from natural video data using Slow Feature Analysis”
09/03 – 06/04: Université de Nantes (France)
Maîtrise d’Informatique (1st year of Master) funded by a DAAD-scholarship
Majors: Artificial Intelligence, Language and Image Processing
10/01 – 08/03: Berlin University of Technology
Vordiplom of Computer Science
Minor: Cognitive Science
WORKING EXPERIENCE AND FURTHER EDUCATION
07/09 – 09/09: Microsoft Corporate Research, Cambridge, UK
Summer student in the Computervision Group
Topic: Interactive Segmentation
07/05 – 10/05: Siemens Corporate Research, Princeton, US
Summer student in the Imaging and Visualization Department
Evaluation and implementation of probabilistic inference on images
Topic: Nonparametric Belief Propagation
10/04 – 09/06: Berlin University of Technology
Student assistant in a project of the German Research Foundation
Neurobiologically inspired controller architecture for mobile robots
Feature extraction from video data (Optical Flow, Slow Feature Analysis)
07/04 – 09/04: Siemens Medical Solutions, Erlangen
Summer student at Magnetic Resonance/Development/Application
Implementation of an image processing algorithm on MR-T1 images
Topic: Skull Stripping (Extraction of brain matter from 3D datasets)
10/02 – 06/03: Berlin University of Technology
Student assistant in the Neural Information Processing Group
Project in the field of Computational Neuroscience:
Contrast adaptation in an orientation column in the visual cortex (V1)