Academic

In 2015, I finished doing a PhD in computer science.  My PhD project was modeling the superior colliculus, a brain region which integrates information from different sensory modalities to localize events and objects in space and initiate motor responses.  This was to contribute to our knowledge about an interesting brain region on the one hand, and on the other hand to learn about Nature's solutions to problems we face in computer science and specifically in robotics.

More generally, the areas of my research were computational intelligence, developmental robotics, machine learning, neural networks, and neuroscience.  I have been interested in symbolic AI, particularly in description (ontologies) and modal logics.

My supervisor was Stefan Wermter, head of the WTM group at the University of Hamburg.  I was a member of CINACS, a Sino-German research training group sponsored by the German Research Foundation DFG.

My thesis, titled "One Computer Scientist's (Deep) Superior Colliculus : Modeling, understanding, and learning from a multisensory midbrain structure", is available online, in all its glory.

Publications

Here's a list of what academic work I've managed to get published, so far.

Bauer, J. and Wermter, S., Probabilistic, Self-Organized Learning for Adaptive, Binaural Sound-Source Localization. (submitted) Neural Computation

Bauer, J., One Computer Scientist's (Deep) Superior Colliculus : Modeling, understanding, and learning from a multisensory midbrain structure. 2015. PHD thesis. pdf

Bauer, J., Magg, S., Wermter, S., Attention modeled as information in learning multisensory integration. May 2015. Neural Networks. pdf

Bauer, J., Dávila-Chacón, J., Wermter, S., Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes. October 2014. Connection Science. pdf

Bauer, J., Wermter, S., Learning Multi-Sensory Integration with Self-Organization and Statistics. Ninth International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'13). Beijing, China, August 2013. pdf

Bauer, J., Wermter, S., Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data. International Joint Conference on Artificial Intelligence (IJCAI). Beijing, China, August 2013. pdf

Bauer, J., Dávila-Chacón, J., Strahl, E., Wermter, S., Smoke and Mirrors — Virtual Realities for Sensor Fusion Experiments in Biomimetic Robotics. Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012 IEEE Conference on. 2012. IEEE. pdf

Bauer, J., Weber, C., Wermter, S., A SOM-based Model for Multi-sensory Integration in the Superior Colliculus. The 2012 International Joint Conference on Neural Networks (IJCNN). Brisbane, Australia, June 2012. IEEE. pdf

Bauer, J., Sattler, U., Parsia, B., Explaining by Example: Model Exploration for Ontology Comprehension. 22nd International Workshop on Description Logics (DL 2009). Oxford, UK, July 2009. pdf