Robin Groenevelt

Robin Groenevelt

European Labs Manager at LM3LABS 株式会社 (LM3LABS Corporation)

Nice et périphérie
1 k abonnés + de 500 relations

À propos

Robin Groenevelt is a specialist at solving (often complex) business problems by utilising and creating state-of-the-art visual technologies, mathematical models, and / or computer vision algorithms.

Google #1 hit for "Object Recognition Retail".

Created two inventions for Coca-Cola

Turned down offers to work for Google and Facebook for some interesting reasons (feel free to ask!).

Hired by:
- AAA banks
- The world's largest consultancy firm
- Leading IT research institutes
- Many top tier CPG companies for computer vision expertise
- Investors for due diligence studies in the field of computer vision
- Numerous startups

Founder of two companies.

Author of some of the most important patents in computer vision for retail.
Author of the one of the most cited papers within the research community for mobile ad hoc networks.

Contacted on a weekly basis by top tier retail, CPG, and IT companies for computer vision expertise.

Strong technical background (2 masters and a PHD in applied mathematics and IT telecommunication)

I take a lot of pleasure in working with people and creating tangible things that make a difference.

Personality: Outgoing & positive

Specialties:
- Computer vision
- Web and application design
- Mathematics
- Out of the box thinking

Activité

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Expérience

  • Graphique CISAC

    International project manager (artwork recognition)

    CISAC

    - aujourd’hui 8 ans 10 mois

  • Mathecsys

    Mathecsys

    14 ans 4 mois

    • Graphique Mathecsys

      Founder of Mathecsys

      Mathecsys

      - aujourd’hui 14 ans 4 mois

      Sophia Antipolis, France

    • Graphique Mathecsys

      Technology Innovator

      Mathecsys

      - aujourd’hui 14 ans 4 mois

  • European Labs Manager

    LM3LABS 株式会社 (LM3LABS Corporation)

    - 1 an 2 mois

    France

  • Computer vision expert

    Visual Limits

    - 1 an

  • Mathematical expert

    Milamos

    - 2 ans 1 mois

    Cyprus

  • Computer vision and business process expert for a due diligence

    An undisclosed private equity firm

    - 4 mois

  • Computer Vision expert

    Adways

    - 1 an

    Paris / Lyon / Sophia Antopolis

  • Computer vision expert

    Trax

    - 7 mois

    Singapore

  • Optimization Expert

    Adtrackxys

    - 6 mois

    Amsterdam, the Netherlands

  • Graphique Accenture Technology Labs

    Senior Specialist

    Accenture Technology Labs

    - 4 ans 8 mois

  • Graphique University of Nice

    Research and Teaching Assistant

    University of Nice

    - 1 an

    Nice, France

  • Research and Teaching Assistant

    PolyTech Nice Sophia Antipolis

    - 1 an

    Sophia Antipolis, France

  • Graphique INRIA Sophia Antipolis France

    PhD Student

    INRIA Sophia Antipolis France

    - 4 ans

  • Graphique Rabobank

    Consultant at the center for Applied Mathematics

    Rabobank

    - 2 ans

    Netherlands

Formation

Publications

  • Visual Shelf Monitoring on Chicago Tonight

    Chicago Tongiht

    The Visual Shelf Monitoring project is presented on Chicago Tonight

    See publication
  • Visual shelf monitoring at computing.co.uk

    Computing.co.uk

    Visual shelf monitoring at computing.co.uk

    See publication
  • Visual shelf monitoring at Zdnet

    Zdnet.com

    A Zdnet publication on the visual shelf monitoring

    See publication
  • Visual shelf monitoring at www.silicon.com

    www.silicon.com

    www.silicon.com writes about Visual Shelf Monitoring

    See publication
  • Message Delay in Mobile Ad Hoc Networks

    Elsevier - Performance

    A stochastic model is introduced that accurately models the message delay in mo- bile ad hoc networks where nodes relay messages and the networks are sparsely populated. The model has only two input parameters: the number of nodes and the parameter of an exponential distribution which describes the time until two random mobiles come within communication range of one another. Closed-form expressions are obtained for the Laplace-Stieltjes transform of the message delay, defined as the time needed…

    A stochastic model is introduced that accurately models the message delay in mo- bile ad hoc networks where nodes relay messages and the networks are sparsely populated. The model has only two input parameters: the number of nodes and the parameter of an exponential distribution which describes the time until two random mobiles come within communication range of one another. Closed-form expressions are obtained for the Laplace-Stieltjes transform of the message delay, defined as the time needed to transfer a message between a source and a destination. From this we derive both a closed-form expression and an asymptotic approximation (as a function of the number of nodes) of the expected message delay. As an additional result, the probability distribution function is obtained for the number of copies of the message at the time the message is delivered. These calculations are carried out for two protocols: the two-hop multicopy and the unrestricted multicopy protocols. It is shown that despite its simplicity, the model accurately predicts the message de- lay for both relay strategies for a number of mobility models (the random waypoint, random direction and the random walker mobility models).

    Other authors
    • kool
    See publication
  • Analysis of Alternating-priority Queueing Models with (Cross) Correlated Switchover Times

    Queueing Systems QUESTA

    A single server queueing system is solved in which service is alternated between two queues
    and the server requires a (finite) switchover time to switch from one queue to the other. The distinction
    from classical results is that the sequence of switchover times from each of the queues need not be
    i.i.d. nor independent from each other; each sequence is merely required to form a stationary ergodic
    sequence. With the help of stochastic recursive equations explicit expressions are…

    A single server queueing system is solved in which service is alternated between two queues
    and the server requires a (finite) switchover time to switch from one queue to the other. The distinction
    from classical results is that the sequence of switchover times from each of the queues need not be
    i.i.d. nor independent from each other; each sequence is merely required to form a stationary ergodic
    sequence. With the help of stochastic recursive equations explicit expressions are derived for a number of
    performance measures, most notably for the average delay of a customer and the average queue lengths
    under different service disciplines. With these expressions a comparison is made between the service
    disciplines and the influence of correlation is studied. Finally, through a number of examples it is shown
    that the correlation can significantly increase the mean delay and the average queue lengths indicating
    that the correlation between switchover times should not be ignored. This has important implications
    for communication systems in which a common communication channel is shared amongst various users
    and where the time between consecutive data transfers is correlated (for example in ad-hoc networks). In
    addition to this a number of notational mistakes in well-known existing literature are pointed out.

    See publication
  • PhD thesis: Stochastic Models for Mobile Ad Hoc Networks

    INRIA

    PhD thesis granted by INRIA and the Université de Nice, France. The thesis solves a number of telecommunication network and queueing theory problems through the derivation of mathematical formulas. Warning: it contains a lot of formulas

    See publication

Langues

  • English

    Bilingue ou langue natale

  • Dutch

    Bilingue ou langue natale

  • Danish

    Compétence professionnelle limitée

  • French

    Capacité professionnelle générale

  • German

    Notions

  • Polish

    Notions

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