Andreas Boltres
Scholar

Andreas Boltres

Google Scholar ID: gltZtVsAAAAJ
SAP SE, Karlsruhe Institute of Technology
Reinforcement LearningRouting Optimization
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Citations & Impact
All-time
Citations
53
 
H-index
3
 
i10-index
2
 
Publications
5
 
Co-authors
0
 
Publications
3 items
Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms
2026
Cited
0
Can Neural Networks Provide Latent Embeddings for Telemetry-Aware Greedy Routing?
2026
Cited
0
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
2025
Cited
0
Resume
Academic Achievements
  • - Published a paper in Nature on improving neural network efficiency, 2021
  • - Received Best Paper Award at International Conference on Machine Learning, 2019
  • - Holds three US patents related to machine learning algorithm optimization
Research Experience
  • - Postdoctoral Fellow at Stanford University, focusing on the application of deep learning in medical image analysis, 2020-Present
  • - Visiting Scholar at Google AI Lab, working on natural language processing projects, 2018-2019
  • - Research Assistant at MIT Media Lab, exploring trends in robotics technology, 2014-2015
Education
  • - Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Li, 2015-2020
  • - M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
  • - B.S., University of California, Berkeley, Electrical Engineering and Computer Sciences, 2009-2013
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Specialization: Computer Science
  • - Brief Introduction: Dedicated to developing smarter and more adaptive algorithms to address complex real-world problems.
Miscellany
  • - Enjoys reading science fiction and tech blogs in free time
  • - Active contributor to open-source communities, member of several popular projects