I have been a Director for Cloud and Software Strategy at Aptiv since August 2021. From a young age, I have been obsessed with machine learning (ML), leading up to a PhD on the topic from the Leibniz University of Hannover. I bring that experience to develop Dell’s market-leading AD/ADAS solutions.
In the automotive industry today, the focus for most companies is on creating a consolidated data structure – getting their cloud strategy and data management right. Once those steps are taken, we can start applying ML to improve efficiency and save costs. But the technology has a lot more visionary potential. It will improve road safety and make transport systems more efficient. By integrating with smart infrastructure, ML will help us create better urban environments. These ‘big picture’ possibilities fascinate me – and I am excited every day about working with our clients to make them a reality.
I have published more than 20 studies on human action recognition and object tracking, and I am a regular speaker at events and conferences. I am always keen to speak to leaders in the ML and automotive space, so feel free to send me a connection request if you’d like to talk.
Machine Learning and Computer Vision
Electrical Engineering and Computer Science
Scientific grant for the best business idea of a Start-Up contest.
Best Student Paper Award by ICPRAM’2014.
Student price for outstanding, voluntary and social engagement.
TU-Automotive Japan - Leveraging a Multi-Cloud Infrastructure for ADAS/AD CarIT Kongress Frankfurt IAA - Challenges of Deep Learning in the Development of ADAS/AD Autonomous Vehicle Test & Development Symposium 2019 - Challenges of Deep Learning in the Development of ADAS/AD Autonomous Vehicles 2019 Detroit- Chairman, opening and closing talks, Q&A session, leading the audience Image Sensors America'2019 - tbc Image Sensors EU'2019 - tbc Image Sensors Asia'2019 - tbc CarIT Kongress Berlin - Challenges of Deep Learning in the Development of ADAS/AD Connected Vehicles'2019 - tbc AVTD 2019 - Opening Keynote presentation Autosens 2019 - Synthetic Scenario Generation Automated Driving '2019 - Solving the storage conundrum Autonomous Vehicles 2019 Santa Clara - Chairman, opening and closing talks, Q&A session, leading the audience VDI'2019 - Lane Changes Assistant System for Mirrorless Cars AVTD'2018 - Unified System of Tools for ADAS AVTD'2018 - Effects of simulated Scenario on Machine Vision Algorithms CVT'2018 - Lane Change Assistant System for Commercial Vehicles IS Auto'2018 - Unified System of Tools for ADAS VDI'2018 - Making Cameras self-aware for autonomous Driving M³-UK'2017 - Machine Learning in the Automotive Industry TNT'2015 - Random Forests and its Applications to Scene Understanding WACV'2015 - Sequential Boosting for Learning a Random Forest Classifier ICIAR'2014 - Multi-Sensor Acceleration-based Action Recognition ISVC'2014 - Thresholding a Random Forest Classifier AVSS'2014 - Computation Strategies for VLBPs ICPRAM'2014 - Motion Binary Patterns SCIA'2013 - Exploiting Object Characteristics using Custom Features ISVC'2010 - Symmetry Enhanced Boosting
02/2021 - today - Program Committee of M³ Germany
02/2021 - Advisory Board of Autonomous Vehicles 2021 Virtual
02/2020 - Advisory Board of Autonomous Vehicles 2020 Santa Clara
10/2020 - today - Program Committee of M³ Germany
02/2019 - Advisory Board of Autonomous Vehicles 2019 Santa Clara
08/2019 - Advisory Board of Autonomous Vehicles 2019 Detroit
01/2019 - Advisory Board of IS Auto Asia 2019
10/2019 - today - Program Committee of M³ Germany
01/2019 - Advisory Board of Cognitive Vehicles 2019
10/2018 - today - Advisory Board of IS Auto EU 2019
03/2018 - today - Program Committee of M³ UK
10/2017 - today - Program Committee of M³ Germany
- Project management
- Operational management
- Innovation management Patent law and Intellectual property rights
- Leadership skills
- Organizing an industry-student fair 2006 - 2012 KISS ME (Supporting students to get in contact with industry partners)
C/C++, Obj-C, Java, MISRA, MS Excel, MS Word, Latex, Pages, Keynote, HTML, PHP, SQL, XML MATLAB, R, Python