Univ.-Prof. Dr. Radu Ioan Boţ (Speaker)

Faculty of Mathematics
University of Vienna
Room 07.135
Oskar-Morgenstern-Platz 1
1090 Vienna, Austria

mail: radu.bot@univie.ac.at
phone: +43 1 4277 50772
web: personal homepage

Full Professor (Applied Mathematics with Emphasis on Optimization)

Research areas in the program

  • Nonlinear Optimization
  • Optimization for Data Analysis
  • Nonsmooth Optimization
  • Multicriteria Optimization

Research Interests

  • Nonsmooth convex and nonconvex optimization

  • Numerical algorithms for optimization and minimax problems
  • Monotone operator theory
  • Discrete versus continuous time approaches
  • Applications to real world problems

Know-how and infrastructure of the research group

Radu Ioan Boț is the head of the Research Group on Applied Mathematics with Emphasis on Optimization at the Faculty of Mathematics of the University of Vienna.

Collaborations within the VGSCO

With Immanuel Bomze and Arnold Neumaier on Nonlinear Optimization, with Dan Alistarh, Immanuel Bomze and Arnold Neumaier on Optimization for Data Analysis and with Birgit Rudloff on Multicriteria Optimization.

Scientific CV

Positions
since 10/2020 Dean of the Faculty of Mathematics and Head of the Institute of Mathematics of the University of Vienna
since 03/2020 Speaker of the FWF DK “Vienna Graduate School on Computational Optimization”
since 05/2018 Founding Member of the Research Platform “Data Science@Uni Vienna”
since 10/2017 University Professor for Applied Mathematics with emphasis on Optimization at the University of Vienna
11/2016–06/2020 Speaker of the Vienna Doctoral School “Mathematics” of the University of Vienna and of the Vienna School of Mathematics
10/2016–09/2020 Vice Dean for Research of the Faculty of Mathematics and Deputy Head of the Institute of Mathematics of the University of Vienna
since 10/2016 Invited Associate Professor of the Faculty of Mathematics and Computer Science of the Babes-Bolyai University Cluj-Napoca
07/2015–09/2017 Deputy Head of the Research Platform “Computational Science Center” at University of Vienna
04/2014–09/2017 Associate Professor at the Faculty of Mathematics of the University of Vienna
since 07/2013 University of Vienna, Faculty of Mathematics
04/2011 – 06/2013 Assistant Professor, Chemnitz University of Technology, Faculty of Mathematics
10/2010 – 03/2011 Temporary position of Professor of Applied Mathematics, Heinrich Heine University Düsseldorf, Mathematical Institute
08/2003 – 09/2010 PostDoc, Chemnitz University of Technology, Faculty of Mathematics


Education
12/2008: Habilitation in Mathematics, Chemnitz University of Technology
06/2003: PhD in Mathematics, Chemnitz University of Technology
06/1999: MSc in Mathematics, “Babeș-Bolyai“ University Cluj-Napoca
06/1998: Diploma in Mathematics, “Babeș-Bolyai“ University Cluj-Napoca


Awards
2010: awarded with the University Prize of the Chemnitz University of Technology
1999: Ph.D. Fellowship of the “Gottlieb Daimler- und Karl Benz-Stiftung”
1998: SMWK-Fellowship of the land Saxony for a research stay at Chemnitz University of Technology
1998: awarded for graduating the Faculty of Mathematics and Computing Science of the “Babeș-Bolyai“ University Cluj-Napoca with the best grade possilble

Member of Editorial Boards
July 2019 - present: Computational Optimization and Applications
February 2019 - present: Journal of Nonsmooth Analysis and Optimization
September 2018 - present: Optimization Methods and Software
February 2018 - present: Control and Cybernetics
July 2017 - present: Applied Mathematics and Optimization
June 2016 - present: De Gruyter Book Series on Optimization
April 2014 - present: Minimax Theory and its Applications
March 2014 - February 2017: Applied Mathematics and Computation (AMC) - Elsevier Science Publishers
January 2014 - present: SIAM Journal on Optimization
January 2013 - present: Optimization Letters
July 2012 - present: Journal of Mathematics
March 2012 - present: Communications in Optimization Theory
November 2011 - present: Journal of Optimization Theory and Applications

Publications

Showing entries 1 - 10 out of 187
Bot, RI & Hulett, DA 2024, 'Second order splitting dynamics with vanishing damping for additively structured monotone inclusions', Journal of Dynamics and Differential Equations , vol. 36, no. 1, pp. 727-756. https://doi.org/10.1007/s10884-022-10160-3
Bot, RI, Csetnek, ER & László, SC 2024, 'On the strong convergence of continuous Newton-like inertial dynamics with Tikhonov regularization for monotone inclusions', Journal of Mathematical Analysis and Applications, vol. 530, no. 2, 127689. https://doi.org/10.1016/j.jmaa.2023.127689
Nenov, R, Nguyen, DK, Balazs, P & Bot, RI 2024, 'Accelerated Griffin-Lim algorithm: A fast and provably converging numerical method for phase retrieval', IEEE transactions on signal processing, vol. 72, pp. 190-202. https://doi.org/10.1109/TSP.2023.3339232
Sedlmayer, M, Nguyen, D-K & Bot, RI 2023, A fast optimistic method for monotone variational inequalities. in ICML'23: Proceedings of the 40th International Conference on Machine Learning. vol. 202, 1261, PMLR, pp. 30406-30438, International Conference on Machine Learning, 23/07/23. <https://proceedings.mlr.press/v202/sedlmayer23a/sedlmayer23a.pdf>
Bot, RI, Csetnek, ER & Nguyen, D-K 2023, 'Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates', Mathematical Programming, vol. 200, no. 1, pp. 147-197. https://doi.org/10.1007/s10107-022-01879-4
Bot, RI, Dao, MN & Li, G 2023, 'Inertial proximal block coordinate method for a class of nonsmooth sum-of-ratios optimization problems', SIAM Journal on Optimization, vol. 33, no. 2, pp. 361 -393. https://doi.org/10.1137/22M1472000
Aragón Artacho, FJ, Bot, RI & Torregrosa-Belén, D 2023, 'A primal-dual splitting algorithm for composite monotone inclusions with minimal lifting', Numerical Algorithms, vol. 93, no. 1, pp. 103-130. https://doi.org/10.1007/s11075-022-01405-9
Bot, RI, Sedlmayer, M & Phan, TV 2023, 'A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs', Journal of Machine Learning Research, vol. 24, no. 1, 8, pp. 191-227. <https://www.jmlr.org/papers/volume24/20-267/20-267.pdf>
Bot, RI & Böhm, A 2023, 'Alternating proximal-gradient steps for (stochastic) nonconvex-concave minimax problems', SIAM Journal on Optimization, vol. 33, no. 3, pp. 1884 - 1913. https://doi.org/10.1137/21M1465470
Bot, RI, Csetnek, ER & Sedlmayer, M 2023, 'An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function', Computational Optimization and Applications, vol. 86, no. 3, pp. 925-966. https://doi.org/10.1007/s10589-022-00378-8
Showing entries 1 - 10 out of 187
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