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  • THREAD Doctoral Program Picks up Speed / 2020

    Guest Scientist at Fraunhofer ITWM and Virtual Network-wide Training Promote Scientific Exchange

    Press Release / July 27, 2020

    Network-wide Training THREAD
    © Fraunhofer ITWM

    International networks enrich the scientific exchange. Within the framework of the European Union's THREAD doctoral program, this is currently lived out twice at the Fraunhofer ITWM: In July, the institute welcomes THREAD doctoral student Denise Tumiotto, who will spend four weeks as a guest scientist in the field of "Mathematics for Vehicle Development". In addition, the first network-wide training took place at the beginning of the month, which the 14 PhD students of the program from eight European countries completed together.

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  • Outstanding BMBF Funding for AI Researcher at Fraunhofer ITWM / 2020

    Junior Researcher Stefanie Schwaar Establishes New Research Group for Artificial Intelligence

    Press Release / July 17, 2020

    Dr. Stefanie Schwaar
    © Fraunhofer ITWM

    Dr. Stefanie Schwaar from the Fraunhofer Institute for Industrial Mathematics ITWM won the BMBF's call for funding young female AI researchers. She will establish and head her own research group at the mathematical institute from August 2020. Under the title »EP-KI: Decision Support for Business Management Processes with the Help of New AI Methods« they will work at the interface of business management and artificial intelligence (AI). An excellent network of administration, business and research supports the group, which is funded by the Federal Ministry of Education and Research.

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  • Algorithms for Optimized Supply Chains / 2020

    Cost-Effective Ways to Minimize Risks in the Supply Chain

    Research News / July 01, 2020

    Supply chains may collapse in times of crisis. Companies can use software developed by Fraunhofer ITWM to analyze how to minimize supply shortfalls.
    © istockphoto

    The coronavirus pandemic has hit the economy hard. What lessons can be learned from this experience? And what’s the best way for companies to protect themselves against this kind of crisis in the future? The answer will certainly involve a combination of different approaches – but new mathematical methods developed by the Fraunhofer Institute for Industrial Mathematics ITWM look likely to be a very promising piece of the puzzle. These methods aim to calculate how the risks posed by supply shortages can be reduced significantly at very little extra cost.

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  • Fraunhofer ITWM vs. Corona: With Mathematics Against the Crisis / 2020

    Recommended Wearing Time of Protective Masks – Researchers Make Better Predictions Possible With Simulations

    Press Release / May 12, 2020

    Unterschiedliche Gesichtsmasken
    © iStockphoto

    How long can you wear a protection mask? When will you have to change a soaked mask? Researchers of the Fraunhofer ITWM tackle these question using mathematical models and computer simulations. It is important to take into account not only the type of mask and the filter material, but also the physical stress level and personal features of the wearer.

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  • Fraunhofer ITWM vs. Corona: With Mathematics Against the Crisis / 2020

    Project EpiDeMSE Supports Local Decision Makers in Planning Actions in the Corona Crisis

    Press Release / May 11, 2020

    Menschenmenge
    © iStockphoto

    Especially when an infectious disease is new, mathematical models help to answer the two most important questions: How will the infection spread and what actions are appropriate and effective to contain it? In order to support local decision makers (health authorities, hospitals and especially municipalities) in planning their actions, researchers of the Fraunhofer ITWM are working on the epidemiological modeling, simulation and decision support of Covid-19 within the framework of the Fraunhofer Society's Anti-Corona Program (project name EpiDeMSE).

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  • Fraunhofer ITWM vs. Corona: Prediction Model for the Spread of Covid-19 / 2020

    Putting People into Pigeonholes Is Not an Option – Yes, It Is, for the Prediction of Covid-19 Spread!

    Press Release / April 30, 2020

    Corona-Virus
    © www.freepik.com

    Researchers at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern are developing a prediction model for the spread of Covid-19 which, in contrast to classical models, is better able to detect "suddenly changing infection rates after actions have been taken". In addition, the researchers are simulating several spatially or age-separated groups in a network. The research work is being carried out as part of the "Fraunhofer vs. Corona" action program.

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  • Fraunhofer ITWM Participates in the BMBF Joint Project »ML-MORE» / 2020

    Evaluating and Optimizing Catalytic Filters Using Mathematical Methods

    Press Release / April 14, 2020

    Auspuff
    © iStockphoto

    Catalysts are commonly used to reduce pollutants released in car exhaust. In order to manufacture catalytic filters with even higher efficiency, industry is increasingly relying on innovative mathematical models and machine learning (ML). In the newly launched collaborative research project «ML-MORE», researchers at the Cluster of Excellence «Mathematics Münster» at the University of Münster are working closely with the Fraunhofer Institute for Industrial Mathematics ITWM, the University of Stuttgart, TU Darmstadt and Umicore AG & Co. KG, a materials technology and recycling company. The Federal Ministry of Education and Research (BMBF) is funding the project as part of «Mathematics for Innovations», a programme devoted to developing methods for handling large volumes of data. The BMBF has allocated approximately one million euros to finance the project over the next three years.«Mathematics for Innovations», a programme devoted to developing methods for handling large volumes of data. The BMBF has allocated approximately one million euros to finance the project over the next three years.

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  • THREAD in Times of the Corona Crisis / 2020

    EU Doctoral Programme With Special Challenges

    April 01, 2020

    THREAD ist ein einzigartiges Netzwerk von Universitäten, Forschungseinrichtungen und der Industrie aus Österreich, Belgien, Kroatien, Frankreich, Deutschland, Norwegen, Slowenien und Spanien, das junge Nachwuchswissenschaftlerinnen und -wissenschaftler zusammenbringt.
    © iStockphoto

    On April 1, 2020, Davide Manfredo should have started his doctoral studies at the Fraunhofer ITWM in Kaiserslautern. He participates in a very special program in which the EU is funding 14 PhD positions across Europe for three years: «THREAD - Joint Training on Numerical Modelling of Highly Flexible Structures for Industrial Applications». The focus is on the direct application of new research in industrial practice. THREAD aims to promote international exchange and mobility of young scientists. But mobility is difficult at the moment. Instead of Kaiserslautern, Davide is now working from his parents’ home in Turin, where he presented his master's thesis via Skype last week and thus completed his master's degree – with the highest score. Corona thwarted his travel plans, but not those of his career.

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  • Digital Solutions and Ideas for the Corona Crisis: The Hackathon of the Federal Government of Germany / 2020

    #WirVsVirus – Researchers of the Faunhofer ITWM are Involved

    Press Release / April 01, 2020

    #WirVsVirus Hackathon
    © #WirVsVirus Hackathon/Bundesregierung Deutschland

    From 20 to 22 March 2020, the German government called under the heading #WirVsVirus, to develop solutions that will help citizens, medicine, research and politics to master their current challenges posed by the corona crisis. 23,000 people followed this call and worked on 1,500 projects. Researchers of Fraunhofer ITWM also took part in the hackathon, and in particular helped in three projects:

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