Martha Teiko Teye

I am an industrial PhD researcher working at the point where academic research meets a product that has to work on a real vehicle. My work with Aptiv and Osnabrück University focuses on deep learning models for 3D multiple object tracking — fusing LiDAR point clouds and multi-camera imagery with transformer architectures that stay robust under occlusion and viewpoint change.

That dual footing in academia and industry shapes how I work: I care about benchmarks, but I care just as much about latency, failure modes, and whether the thing is maintainable six months from now. Before the PhD I worked on conversational AI ethics, emotion detection across cultures, and machine learning for e-commerce — research that has been cited in work on culturally-aware AI systems.

As a first-generation student, I know how much difference one open door makes. So I volunteer teaching programming, mentor women moving into tech, and have twice served as a panelist at the United Nations Internet Governance Forum on IoT security and trust. When I am not doing any of that, I am probably reading about whatever is about to change the field next.