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Andreas Frischen

Bringing artificial intelligence to life in our products

"Intelligence shows itself, among other things, in being able to adapt and in learning from experience. This is no different in artificial intelligence than in human intelligence. It fascinates us to develop such intelligent products and to experience them ourselves."

Andreas Frischen

As a technical project manager, I, together with an interdisciplinary team, look after the development and integration of artificial intelligence in products of our daily life. With my background in sensor hardware, digital signal processing and algorithmics, I build a bridge between AI expertise and the objective world around us. The user experience of a product is to improve significantly through the integration of intelligence.

Curriculum vitae

Robert Bosch GmbH

2015
Research Engineer in the field of sensor technology, development and project management for solutions in sensor technology, classic algorithmics and machine learning

Robert Bosch GmbH & Ulm University

2012-2015
PhD in radar sensor technology

RWTH Aachen

2006 - 2012
Electrical engineering degree with a specialization in information/communication technology and microelectronics

Selected publications

  • Coherent Measurements With MIMO Radar Networks of Incoherent FMCW Sensor Nodes

    Frischen et al. 2020

    Coherent Measurements With MIMO Radar Networks of Incoherent FMCW Sensor Nodes
    • Andreas Frischen ; Gor Hakobyan ; Christian Waldschmidt
    • IEEE Microwave and Wireless Components Letters
  • A Cooperative MIMO Radar Network Using Highly Integrated FMCW Radar Sensors

    Frischen et al. 2017

    A Cooperative MIMO Radar Network Using Highly Integrated FMCW Radar Sensors
    • Andreas Frischen ; Jürgen Hasch ; Christian Waldschmidt
    • IEEE Transactions on Microwave Theory and Techniques
  • A low-phase-noise 122-GHz FMCW radar sensor for distributed networks

    Frischen et al. 2016

    A low-phase-noise 122-GHz FMCW radar sensor for distributed networks
    • Andreas Frischen ; Juergen Hasch ; Darshan Jetty ; Mekdes Girma ; Markus Gonser ; Christian Waldschmidt
    • European Radar Conference (EuRAD)
  • FMCW ramp non-linearity effects and measurement technique for cooperative radar

    Frischen et al. 2015

    FMCW ramp non-linearity effects and measurement technique for cooperative radar
    • Andreas Frischen ; Juergen Hasch ; Christian Waldschmidt
    • European Radar Conference (EuRAD)
  • 122 GHz single-chip dual-channel SMD radar sensor with on-chip antennas for distance and angle measurements

    Girma et al. 2015

    122 GHz single-chip dual-channel SMD radar sensor with on-chip antennas for distance and angle measurements
    • Mekdes G. Girma ; Markus Gonser ; Andreas Frischen ; Jürgen Hasch ; Yaoming Sun ; Thomas Zwick
    • International Journal of Microwave and Wireless Technologies
  • Contour recognition with a cooperative distributed radar sensor network

    Frischen et al. 2015

    Contour recognition with a cooperative distributed radar sensor network
    • Andreas Frischen ; Juergen Hasch ; Christian Waldschmidt
    • IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)
  • A multi-reflection-point target model for classification of pedestrians by automotive radar

    Schubert et al. 2014

    A multi-reflection-point target model for classification of pedestrians by automotive radar
    • Eugen Schubert ; Martin Kunert ; Andreas Frischen ; Wolfgang Menzel
    • 2014 11th European Radar Conference
  • Performance degradation in cooperative radar sensor systems due to Uncorrelated Phase Noise

    Frischen et al. 2014

    Performance degradation in cooperative radar sensor systems due to Uncorrelated Phase Noise
    • Andreas Frischen ; Juergen Hasch ; Christian Waldschmidt
    • 2014 11th European Radar Conference

Interview with Andreas Frischen

Technical project lead in the area of embedded artifical intelligence and smart sensors

Please tell us what fascinates you most about research.
To be spearheading the technical developments and to have the chance to influence these is particularly exciting and a particular challenge at the same time. You exchange ideas and experience with and you measure yourself constantly against the best in your area of work. Like in a competition, this combines the enjoyment of the activity with sporting ambition.

What makes research done at Bosch so special?
Bosch offers an outstanding breadth of possible applications for innovative solutions. This multiplies the effect of one’s own research work and makes it possible to see its fruit realized and live in action.

What research topics are you currently working on at Bosch?
I am working on methods that make it possible for products to become better over their lifespan and through their use. This requires not just innovations in AI algorithms, but also the establishment of new mechanisms to personalize functionality with local data.

What are the biggest scientific challenges in your field of research?
The quality of machine-learned models depends largely on the quantity and variety of available relevant data. A particular challenge here is to deal “efficiently” with these data, i.e. to draw the maximum benefit from a limited quantity. Nevertheless, a given problem is to be solved as generally as possible and not just for a very specific case. Many innovative approaches seek to find a solution for this dichotomous endeavor.

How do the results of your research become part of solutions "Invented for life"?
Our work contributes directly to the products of the next generation and the generation after that, where they lead to tangible improvement in functionality. For example, new intelligence in motion sensors ensures that these can be better used for controlling devices through human gestures.

Andreas Frischen

Get in touch with me

Andreas Frischen
Technical project lead in the area of embedded artifical intelligence and smart sensors

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