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Research
Our research activities cover theoretical and practical aspects of (discrete, in particular mixed-integer) optimization with applications in signal and image processing, machine learning and operations research.
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Publications
Google-Scholar: A. Tillmann
ResearchGate: A. Tillmann
Former projects and project participations
- SONAR (Simultaneous scenario-based optimization of aircraft flight routes and noise assessment), TU Braunschweig (PI: S. Stiller), 2023-2025
- KI4ALL - Artificial intelligence for all, TU Braunschweig (PI: S. Stiller), 2021-2025
- SE²A ICA A3.1 - Advanced ATS Simulation, TU Braunschweig/DLR (PIs: P. Hecker, B. Korn, S. Stiller), 2019-2022
- LeoPlanLearning and optimization with large amounts of data on networks, TU Braunschweig/Uni Bonn (PIs: C. Kirches, P. Mutzel, S. Stiller), 2020-2023
- Efficient exact maximum-likelihood decoding and minimum-distance computation for binary linear codes, RWTH Aachen University (PI: A. Tillmann), 2018-2019
- CoSIP: EXPRESS - EXploiting structure in comPREssed Sensing using Side constraints, TU Darmstadt/TU Ilmenau (PIs: M. Haardt, M. Pesavento, M. Pfetsch), 2015-2021 (affiliated)
- SPEAR - Sparse Exact and Approximate Recovery, TU Braunschweig/TU Darmstadt (PIs: D. Lorenz, M. Pfetsch), 20011-2014