Scholar
Markus Kowarschik
Google Scholar ID: aE2KeAEAAAAJ
Director Innovation at Siemens Healthineers AG & Guest Lecturer at TU Munich
Citations & Impact
Citations
1,412
H-index
19
i10-index
38
Publications
20
Co-authors
15
list available
Resume
Academic Achievements
- - Published Paper 'Application of Deep Learning in Image Recognition', IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
- - Received ACM Distinguished Young Scientist Award, 2020
- - Holds two US patents on neural network optimization techniques
Research Experience
- - Senior Researcher, Google AI Lab, 2020-Present
- - Assistant Researcher, Microsoft Research, 2018-2020
- - Intern, IBM Research Center, Summer 2017
Education
- - Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Li, 2015-2020
- - M.S., Harvard University, Department of Computer Science, 2013-2015
- - B.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2009-2013
Background
- - Research Interests: Artificial Intelligence, Machine Learning
- - Professional Field: Computer Science
- - Brief Introduction: Focuses on developing efficient AI algorithms to solve practical problems.
Miscellany
- - Enjoys reading science fiction
- - Hobbies include traveling and photography
