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    <title>Multerer Research</title>
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          <img src="resources/mm2020.jpg"
               alt="Portrait of Michael Multerer"
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          <h1>Michael Multerer</h1>
          <h3>Universit&agrave; della Svizzera italiana</h3>
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            <a href="http://usi.to/3ps">http://usi.to/3ps</a>
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          <h1 id="research-heading">Research</h1>

          <h2>SNSF Starting grant: Multiresolution methods for unstructured data</h2>

          <p>
            Rapidly increasing unstructured data is omnipresent in our everyday lives.
            Typical examples are data from social networks, text and audio data,
            photos and videos, but also scientific measurements and simulation data.
            Efficient processing and analysis of these data have become vital for our
            society.
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          <p>
            In <em>Multiresolution methods for unstructured data</em>, we develop novel and
            fully discrete data-centric multiresolution approaches tailored to
            unstructured data, focusing on efficient algorithms for computational
            uncertainty quantification and adaptive strategies for active learning and
            non-smooth data.
          </p>

          <p>
            Results obtained in this project will be made available within the
            software package FMCA
            (<a href="https://github.com/muchip/fmca">https://github.com/muchip/fmca</a>).
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            I feel honored by the trust and the opportunity given by the
            Swiss National Science Foundation to conduct this research.
            I am confident that the project will be the starting point for
            many future research endeavors and that it will strengthen
            the position of USI as a research institution.
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