Category Archives: Industrie

Free Online-Version: Metamodel-based optimization of hot rolling processes in the metal industry


The article “Metamodel-based optimization of hot rolling processes in the metal industry” is published in The International Journal of Advanced Manufacturing. As part of the Springer Nature SharedIt initiative, a publicly full-text view-only version of this paper is available here.

The abstract reads as follows: Continue reading

Maschinelles Lernen optimiert @TH_Koeln

v.l. Prof. Dr. Michael Bongards, Prof. Dr. Rainer Scheuring, Prof. Dr. Thomas Bartz-Beielstein, Jesiele N. de Lima (Eaton), Alexis Marino Sarda Espinosa, Andreas von der Beeck, Georg Reidt (Eaton), Prof. Dr. Christian Averkamp, Pia Müller (Eaton) ​(Bild: Manfred Stern / TH Köln)

Mit dem „Eaton-Award“, einem Förderpreis mit der Gesamtsumme von 3000 Euro, zeichnet der internationale Elektronik-Konzern Eaton jedes Jahr Bestleistungen der Studiengänge Elektronik und Automatisierungstechnik am Cam­pus Gummersbach der TH Köln aus.
Der zweite Preis mit 1.000 Euro Preisgeld ging in diesem Jahr an einen Mexikaner. Alexis Marino Sarda Espinosa schrieb seine Masterarbeit im englischsprachigen Studiengang “Automation & IT” mit dem Titel „A Machine Learning Approach for the Knowledge Extraction and Exploitation of Fleet Data“. Die Arbeit entstand für den internationalen Konzern ABB AG und wurde gleichermaßen vom Betreuer aus der Industrie, Dr. Subanatarajan Subbiah, und von Prof. Dr. Thomas Bartz-Beielstein vom Campus Gummersbach als “ausgezeichnet” beurteilt. In der Arbeit werden Verfahren des maschinellen Lernens analysiert und für den industriellen Einsatz angepasst. Continue reading

Evolutionary Computation in Practice @GECCO2017: Program On-line

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In the Evolutionary Computation in Practice (ECiP) track, well-known speakers with outstanding reputation in academia and industry present background and insider information on how to establish reliable cooperation with industrial partners. They actually run companies or are involved in cooperations between academia and industry.
The sessions will be on Monday in Topas 1.

Sessions

  • Session 1 (S-1): Bridging the gap between academia and industry (Chair: E. Goodman):
    How to establish & continue cooperation with industrial partners.
  • Session 2 (S-2): “Real” real-world optimization (Chair: T. Bartz-Beielstein):
    Best practice. Talks & Discussions.
  • Session 3 (S-3): Ask the experts / Getting a job (Chair: J.Mehnen and A. Fischbach):
    What to do and what not to do.

More: http://www.spotseven.de/gecco/evolutionary-computation-in-practice/

ECiP @GECCO2017: Hooman Shayani Talking About “Evolutionary Computation in the Future of Making Things”

Hooman Shayani (Autodesk Research)

Hooman Shayani (Autodesk Research)

Hooman Shayani’s talk focuses on the central role of Evolutionary Computation in the future of design and manufacturing, and how academics in the field of Evolutionary Computation can make rapid and impactful contributions to the innovations in these industries.
It starts with an introduction to Autodesk Inc, its vision regarding the Future of Making Things (FOMT), Generative Design, and Dreamcatcher project. Hooman Shayani is a Senior Principal Research Scientist at Autodesk Research. He is part of the Design Research team in the office of the CTO, working on Dreamcatcher project, among other projects. Hooman Shayani will present this talk at GECCO 2017 in the Evolutionary Computation in Practice track on Monday, July 17th.

In the Evolutionary Computation in Practice track, well-known speakers with outstanding reputation in academia and industry present background and insider information on how to establish reliable cooperation with industrial partners. They actually run companies or are involved in cooperations between academia and industry. More information about the ECiP track can be found here: http://www.spotseven.de/gecco/evolutionary-computation-in-practice