Grants per year
Personal profile
Research Interests
Large-scale nonlinear continuous optimization; mixed-integer nonlinear optimization; open source software implementation; application of optimization algorithms to industrial and scientific problems.
Education/Academic qualification
Chemical Engineering, PhD, Carnegie Mellon University
… → 2002
Diplom-Mathematiker (Master’s degree equivalent in Mathematics), University of Cologne
… → 1997
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Dive into the research topics where Andreas Waechter is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: Adaptive Gaussian Markov Random Fields for Large-scale Discrete Optimization via Simulation
7/15/19 → 6/30/23
Project: Research project
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Hybrid Interior-Point/Active-Set PSCOPF Algorithms Exploiting Power System Characteristics
Lehigh University, Advanced Research Projects Agency - Energy
12/13/18 → 7/31/22
Project: Research project
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Algorithms for Nonlinear Nonconvex Optimization under Uncertainty
9/15/15 → 8/31/19
Project: Research project
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A versatile optimization framework for sustainable post-disaster building reconstruction
Izadinia, N., Ramyar, E., Alzayer, M., Carr, S. H., Cusatis, G., Dwivedi, V., Garcia, D. J., Hettiarachchi, M., Massion, T., Miller, W. M. & Wächter, A., Sep 2023, In: Optimization and Engineering. 24, 3, p. 2079-2114 36 p.Research output: Contribution to journal › Article › peer-review
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Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl
Ospina, J., Fobes, D. M., Bent, R. & Wachter, A., 2023, (Accepted/In press) In: IEEE Transactions on Power Systems. p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
On cheap entropy-sparsified regression learning
Horenko, I., Vecchi, E., Kardoš, J., Wächter, A., Schenk, O., O'Kane, T., Gagliardini, P. & Gerber, S., Jan 3 2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 1, e2214972120.Research output: Contribution to journal › Article › peer-review
Open Access -
Object-Oriented Implementation and Parallelization of the Rapid Gaussian Markov Improvement Algorithm
Semelhago, M., Nelson, B. L., Song, E. & Wachter, A., 2022, Proceedings of the 2022 Winter Simulation Conference, WSC 2022. Feng, B., Pedrielli, G., Peng, Y., Shashaani, S., Song, E., Corlu, C. G., Lee, L. H., Chew, E. P., Roeder, T. & Lendermann, P. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3158-3169 12 p. (Proceedings - Winter Simulation Conference; vol. 2022-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Two-Stage Decomposition Approach for AC Optimal Power Flow
Tu, S., Wachter, A. & Wei, E., Jan 2021, In: IEEE Transactions on Power Systems. 36, 1, p. 303-312 10 p., 9115808.Research output: Contribution to journal › Article › peer-review
Open Access21 Scopus citations