Suresh Bolusani
📬 Contact
- office
- Room 3103 at ZIB
- bolusani (at) zib.de
bsuresh (at) lehigh.edu - languages
- Telugu, English, and Hindi
🎓 Curriculum vitae
- since 2021
- Researcher at ZIB
- Jun 2014
- M.Tech. in Industrial Engineering and Operations Research at IITB
- Jun 2009
- B.Tech. in Production and Industrial Engineering at IITR
đź“ť Publications and preprints
Preprints
- Bolusani, S., Besançon, M., Bestuzheva, K., Chmiela, A., DionĂsio, J., Donkiewicz, T., van Doornmalen, J., Eifler, L., Ghannam, M., Gleixner, A., Graczyk, C., Halbig, K., Hedtke, I., Hoen, A., Hojny, C., van der Hulst, R., Kamp, D., Koch, T., Kofler, K., … Xu, L. (2024). The SCIP Optimization Suite 9.0 (ZIB Report No. 24-02-29). Zuse Institute Berlin.
[URL]
[arXiv]
[code]
[BibTeX]
- Bolusani, S., Mexi, G., Besançon, M., and Turner, M. (2024). A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP.
[arXiv]
[BibTeX]
- Bolusani, S., Coniglio, S., Ralphs, T. K., and Tahernejad, S. (2021). A Unified Framework for Multistage Mixed Integer Linear Optimization.
[arXiv]
[BibTeX]
Conference proceedings
- Mexi, G., Besançon, M., Bolusani, S., Chmiela, A., Hoen, A., and Gleixner, A. (2023). Scylla: a Matrix-free Fix-propagate-and-project Heuristic for Mixed-integer Optimization. Proceedings of the Conference of the Society for Operations Research in Germany.
[arXiv]
[BibTeX]
Full articles
- Bolusani, S., Besançon, M., Gleixner, A., Berthold, T., D’Ambrosio, C., Muñoz, G., Paat, J., and Thomopulos, D. (2024). The MIP Workshop 2023 Computational Competition on Reoptimization. Mathematical Programming Computation.
DOI: 10.1007/s12532-024-00256-w
[arXiv]
[BibTeX]
- Bolusani, S., and Ralphs, T. K. (2022). A Framework for Generalized Benders’ Decomposition and Its Applications to Multilevel Optimization. Mathematical Programming, 196, 389–426.
DOI: 10.1007/s10107-021-01763-7
[arXiv]
[BibTeX]
🔬 Projects
Research Campus MODAL SynLab
SynLab researches mathematical generalization of application-specific advances achieved in the Gas-, Rail– and MedLab of the research campus MODAL. The focus is on exact methods for solving a broad class of discrete-continuous optimization problems. This requires advanced techniques for structure recognition, consideration of nonlinear restrictions from practice, and the efficient implementation of mathematical algorithms on modern computer architectures. The results are bundled in a professional software package and complemented by a range of high-performance methods for specific applications with a high degree of innovation.
SynLab
Apr 2020 to Mar 2025
13
53
đź’¬ Talks and posters
Conference and workshop talks
- Sep 2024
- The Relax-and-Cut Framework in the SCIP Optimization Solver
OR Conference, Munich - Jul 2024
- Recent Advances in the SCIP Optimization Solver
33rd European Conference on Operational Research (EURO), Copenhagen - Mar 2024
- Efficient Relax-and-Cut Separation in a Branch-and-Cut Solver
INFORMS Optimization Society Conference (IOS), Houston, TX - Nov 2023
- Relax-and-Cut Framework-based Lagromory Separator in SCIP
ZIB-Siemens Workshop, Berlin - Sep 2023
- Lagromory Separator in SCIP
SAP-ZIB-FAU Workshop, Walldorf - Aug 2023
- Scylla: A Matrix-free Fix-Propagate-and-Project Heuristic for Mixed Integer Optimization
OR Conference, Hamburg - Jun 2023
- Recent Developments in SCIP
SIAM conference on optimization (SIAMOP) - May 2023
- MIPcc23: The MIP Workshop 2023 Computational Competition
20th Mixed Integer Programming European Workshop (MIP)
Research seminar talks
- Feb 2023
- Generalized Benders' Algorithm for Mixed Integer Bilevel Linear Optimization
Department seminar, Industrial Engineering and Operations Research, IIT Bombay