Michael Pfeiffer
Michael Pfeiffer
Bosch Center for Artificial Intelligence
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@de.bosch.com
, ****@ini.uzh.ch
, ****@ini.phys.ethz.ch
, ****@igi.tugraz.at
, ****@ini.ethz.ch
Personal Links
Add links to your profiles on other sites. (Optional)
Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Postdoc
Bosch Center for Artificial Intelligence (bosch.com)
2016 – Present
Postdoc
Swiss Federal Institute of Technology (ethz.ch)
2010 – 2016
PhD student
Graz University of Technology (tugraz.at)
2003 – 2010
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Postdoc Advisor
Rodney Douglas
****@ini.uzh.ch
Present
PhD Advisor
Wolfgang Maass
****@igi.tugraz.at
Present
Coworker
Arnold Smeulders
****@uva.nl
Present
Coworker
Frank Hutter
****@cs.uni-freiburg.de
Present
Coworker
Björn Andres
****@mpi-inf.mpg.de
Present
Coworker
Elisabetta Chicca
****@cit-ec.uni-bielefeld.de
Present
Coworker
Bin Yang
****@iss.uni-stuttgart.de
Present
Coworker
Christoph Posch
****@prophesee.ai
Present
Coworker
Ryad Benosman
****@upmc.fr
Present
Coworker
Zico Kolter
****@cs.cmu.edu
Present
Coworker
Max Welling
****@gmail.com
Present
Postdoc Advisor
Giacomo Indiveri
****@ini.uzh.ch
Present
Postdoc Advisor
Shih-Chii Liu
****@ini.uzh.ch
Present
Postdoc Advisor
Tobi Delbruck
****@ini.uzh.ch
Present
Coworker
Herke van Hoof
****@uva.nl
Present
Coworker
Yulia Sandamirskaya
****@ini.uzh.ch
2010 – 2017
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Spiking Neural Networks
Present
Neuromorphic Engineering
Present
Event-based Vision
Present
Network Compression
Present
Adversarial Examples
Present
Automotive Perception, Radar, Ultrasound
Present
Embedded AI
Present
Generative Adversarial Networks
Present
Deep Learning, Uncertainty
Present