Hannes Nickisch

Empirical Inference Alumni

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)