David Bethge, Dr.

I am an Executive Project Manager & Strategist at NXP Semiconductors. I love managing and executing projects or strategic initiatives in the field of technology. I am eager to connect with fascinating individuals and learn more about them.

Previously, I worked at Meta/Facebook as a researcher for machine learning and novel sensors for AR/VR input. I also worked as a Machine Learning Engineer and Innovation Manager for Emerging Technologies at Porsche.

I obtained a PhD (Dr. rer. nat.) in Computer Science at LMU Munich advised by Albrecht Schmidt. I have a masters and bachelors degree in Industrial Engineering and Management from KIT in Germany. In 2018/2019 I was a visiting researcher at Carnegie Mellon University (CMU) with Artur Dubrawski.

LinkedIn  /  Google Scholar

While I love working on cutting edge technologies, I am most intested in bringing them into products.

I have written over 15 research papers and have over 10 patents. Visit Google Scholar for a complete and up-to-date list.

Novel navigation algorithm that finds the "happy" route. Using contextual information and machine learning to predict most likely happy route elements everywhere in the world.

Research explores non-intrusive prediction of driver emotions through contextual smartphone data, outperforming facial recognition by 7% in a study of 27 participants.

Convolution-based neural network for emotion classification with interpretable time- and feature-aware model decisions, tested on a real-world driving dataset.

Self-supervised learning framework based on a transformer architecture for unlabeled physiological time-series, efficient for domain-agnostic systems in biomedical applications.

End-to-end representation learning framework for modeling user-specific affective representation from raw EEG.

Multi-source deep learning network that is able to learn domain-invariant latent representation from multiple data-specific private encoders.

Enabling multi-source learning for EEG-based brain-computer interfaces via adversarial representation learning.

Remote sensing system that analyzes traffic dynamics, environmental factors, in-vehicle context, and road characteristics to implicitly classify driver emotions.

In-car audio augmented reality system that mixes music in real-time synchronized with sound affordances along the ride.

Mixed reality system for mobile devices that performs 3D-pose-aware object substitution to create meaningful mixed reality scenes.

System to predict interactions in the car HMI based on contextual CAN-BUS data.

Unsupervised, multivariate yet interpretable structural break testing for prognostication of neurological recovery after cardiac arrest.

I am regularly giving talks and keynotes about technology in general. Feel free to reach out.

At Porsche, I have initiated, produced, and together with my fellow head of the PhD network Mohamed Kari, co-hosted the Porsche PhD Podcast where we interviewed Porsche PhD students company-internally on their research and Porsche executives on the role of PhD research for innovation.

I come from a family of engineers and entrepeneurs. I grew up in Germany and Austria traveling a lot while I was a kid. I was raised with a strong emphasis on education, lifelong learning, kindness, and the strong desire to think in-depth about the world around us.

In my free time, I find joy climbing in the alpes with my friends and surfing the waves along Europe's coastlines.

This website was forked from Jon Barron's source code. Thanks!