I’m passionate about developing intelligent systems that understand and perceive the world around them in order to act in it and interact with it. Currently, I work as a senior researcher at Apple. Before that I led the Embodied AI Lab at Intel, working on projects spanning the areas of artificial intelligence, machine learning, computer vision, computer graphics, natural language processing and robotics. In my free time, I enjoy spending time with family, travelling, and tinkering with hobby projects that involve electronics, 3D printing and coding. One of my goals is to make AI and robotics more accessible.
Matthias holds a B.Sc. in Electrical Engineering and Math Minor from Texas A&M University. Early in his career, he worked at P+Z Engineering as an Electrical Engineer developing mild-hybrid electric machines for BMW. Later, he obtained a M.Sc. and PhD in Electrical Engineering from KAUST with focus on persistent aerial tracking and sim-to-real transfer for autonomous navigation. Matthias has contributed to more than 20 publications published in top tier conferences and journals such as Nature, CVPR, ECCV, ICCV, ICML, PAMI, Science Robotics, RSS, CoRL, ICRA and IROS. Matthias has extensive experience in object tracking and autonomous navigation of embodied agents such as cars and UAVs. He was recognized as an outstanding reviewer for CVPR’18 and won the best paper award at the ECCV’18 workshop UAVision and CVPR’23 workshop 3DMV.
Doctor of Philosophy in Electrical Engineering, Track: Computer Vision, 2019
King Abdullah University of Science and Technology (KAUST)
Master of Science in Electrical Engineering, Track: Computer Vision, 2016
King Abdullah University of Science and Technology (KAUST)
Bachelor of Science in Electrical Engineering with Math Minor, 2011
Texas A&M University