# 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 03/2020 Speaker of the FWF DK “Vienna Graduate School on Computational Optimization”

since 10/2019 Speaker of the Vienna School of Mathematics

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

11/2016–09/2019 Speaker of the Vienna Doctoral School “Mathematics” of the University of Vienna

since 10/2016 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

Bot, RI, Csetnek, ER & Hendrich, C 2015, 'Inertial Douglas-Rachford splitting for monotone inclusion problems', *Applied Mathematics and Computation*, vol. 256, no. 1, pp. 472-487.

Bot, RI & Hendrich, C 2015, 'On the acceleration of the double smoothing technique for unconstrained convex optimization problems', *Optimization: a journal of mathematical programming and operations research*, vol. 64, no. 2, pp. 265-288.

Bot, RI, Csetnek, ER, Heinrich, A & Hendrich, C 2015, 'On the convergence rate improvement of a primal-dual splitting algorithm for solving monotone inclusion problems', *Mathematical Programming*, vol. 150, no. 2, pp. 251-279.

Bot, RI & Csetnek, ER 2015, 'On the convergence rate of a forward-backward type primal-dual splitting algorithm for convex optimization problems', *Optimization: a journal of mathematical programming and operations research*, vol. 64, no. 1, pp. 5-23.

Bot, RI & Csetnek, ER 2014, 'A Tseng’s type penalty scheme for solving inclusion problems involving linearly composed and parallel-sum type monotone operators', *Vietnam Journal of Mathematics*, vol. 42, no. 4, pp. 451-465.

Bot, RI & Hendrich, C 2014, 'Convergence analysis for a primal-dual monotone + skew splitting algorithm with applications to total variation minimization', *Journal of Mathematical Imaging and Vision*, vol. 49, no. 3, pp. 551-568.

Bot, RI, Heinrich, A & Wanka, G 2014, 'Employing different loss functions for the classification of images via supervised learning', *Central European Journal of Mathematics*, vol. 12, no. 2, pp. 381-394.

Bot, RI & Csetnek, ER 2014, 'Forward-Backward and Tseng's type penalty schemes for monotone inclusion problems', *Set-Valued and Variational Analysis*, vol. 22, no. 2, pp. 313-331.

Bot, RI, Csetnek, ER & Hendrich, C 2014, Recent developments on primal-dual splitting methods with applications to convex minimization. in PM Pardalos & TM Rassias (eds), *Mathematics Without Boundaries: Surveys in Interdisciplinary Research.* Springer, New York, pp. 57-99.

Bot, RI & Heinrich, A 2014, 'Regression tasks in machine learning via Fenchel duality', *Annals of Operations Research*, vol. 222, no. 1, pp. 197-211.