Andreas Feldmann, PhD, is an innovative optimization expert and applied scientist specializing in algorithms and operations research with over 20 years of experience. Currently serving as a Senior Lecturer at the University of Sheffield and a consultant at Andemil Consulting, they lead research in parameterized approximation algorithms and mentor students in optimization techniques. Previously, they held positions at Charles University as an Associate and Assistant Professor, where they directed research on algorithmic optimization and received teaching accolades. With a strong background in transportation networks, clustering, and network design, Andreas has authored over 50 scientific publications and is recognized for their ability to solve complex logistical challenges. They hold a Doctor of Science degree from ETH Zürich.
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