• Bron: Scopus

Onderzoeksresultaten per jaar

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Persoonlijk profiel


"To quote esteemed statistician Vladimir Vapnik: 'Nothing is more practical than a good theory'!"

Research profile

Anne Driemel is an Assistant Professor in the Data Mining group at Eindhoven University of Technology (TU/e). Her work focuses on the computational geometry of curve similarity computation. She has a broad interest in high-dimensional algorithmic problems involving geometry, motivated by applications in geographic information science and data analysis.

Anne’s primary goal is to design algorithms and data structures that are both practical and have provable performance. To this end, she combines classical worst-case analysis with approximation techniques and realistic input models. Her interests also include application of randomization techniques to obtain simple and effective solutions for computationally hard problems. She is especially interested in curve and graph similarity computations, ranging from mapping trajectories to road networks and clustering time series. Courses examine software, algorithms, control systems and theoretical computer science.

Academic background

Anne Driemel received her PhD in Computing Science from Utrecht University in the Netherlands. She also holds a BSc and MSc in Computer Science from the Free University of Berlin, where she has also worked as a teaching assistant and scientific programmer. Anne has also worked as a Research Assistant at Dortmund University of Technology. In addition, she has been involved in projects at the University of Pennsylvania (GRASP Lab), Université Denis Diderot (Erasmus Program) and Rotary Youth Exchange Australia.

Anne has been a visiting researcher at various Universities in the USA: Tulane University, New Orleans, University of Illinois at Urbana-Champaign (UIUC), Urbana and University of North Carolina at Chapel Hill. She has hosted workshops at a wide variety of locations, including Leibniz Center for Informatics, Wadern, Germany, Lorentz Center, Leiden, The Netherlands, Friedrich-Schiller Universität Jena, Germany and Princeton University, New Jersey, USA. Furthermore, she has acted as a referee at several international conferences  including the International Workshop on Randomization and Computation and International Workshop on Graph-Theoretic Concepts in Computer Science.

Affiliated with

Advisory Board Member 2017-2021 LAMBDA (Learning and Analysing Massive / Big complex Data)


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Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.