
Martin Winistoerfer
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Martin Winistoerfer
- Bis heute 2 Jahre und 4 Monate, seit Okt. 2023
Director AI Research
Hexagon AB
As Director of AI Research at Hexagon AI Hub, I lead strategic AI initiatives across the fields of 3D processing, computational photography, document intelligence, edge AI, and generative AI. I focus on technology management — identifying, prioritizing, and scaling impactful AI capabilities — including 3D instance segmentation and automated training pipelines. I oversee the AI Hub’s patent and IP strategy, evaluate emerging technologies for long-term value.
- 1 Jahr, Okt. 2022 - Sep. 2023
Team Lead AI
Hexagon AB
At Hexagon Technology Hub, I led the applied AI team focused on machine learning for image and point cloud data. I was responsible for the technical direction and successful delivery of key initiatives, including a feasibility study for automated 3D model generation (Scan-to-BIM). My work involved coordinating project roadmaps with multiple Hexagon divisions, evaluating academic research and competitor approaches, and managing cross-functional deliverables.
- 4 Jahre und 7 Monate, März 2018 - Sep. 2022
Head of Hardware Design
BRUSA Elektronik AG
Led a hardware design team developing high-efficiency power electronics for electric mobility. Drove technical and organizational leadership, managed resources, and optimized development processes/toolchains. Forged supplier and academic partnerships. Spearheaded the industrialization of a fast charger and fuel cell DC/DC converter for premium automotive OEMs.
Ausbildung von Martin Winistoerfer
- 2005 - 2007
Electrical and Computer Engineering
Grand Valley State University
Relevant Courses: - System Analysis/Optimization - Product Design - Adaptive Systems - Magnetism and Magnetic Materials - ASIC - Passive Diamagnetic Tilt Sensor
- 1998 - 2001
Electrical and Electronics Engineering
Berner Fachhochschule BFH
Relevant Courses: - Embedded Systems - Internet Services and Languages - Control Engineering - Digital Signal Processing DSP - Computer Networks - Mobile Communication
Sprachen
Englisch
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