Nico Strasdat
Research Associate
NameDr. Nico Strasdat
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Visiting address:
Willersbau, Room C 39 Zellescher Weg 12-14
01069 Dresden
Teaching
You can find information about my teaching activities here.
Scientific Interests
- Methods for machine learning, in particular Support Vector Machines and Deep Learning
- Application of convex optimization and duality
- Newton-type methods for the solution of optimization problems
- Integer-linear programming
- Treatment of application-related optimization problems
- Effective and efficient implementation of algorithms
Short CV
- Doctor rerum naturalium in Mathematics (10/2014 to 10/2023), Dissertation: "Duality, Derivative-Based Training Methods and Hyperparameter Optimization for Support Vector Machines"
- Master of Science (Mathematik) at Technische Universität Dresden (10/2012 to 09/2014), Master's Thesis: "Reduced-Set Support Vector Machines"
- Bachelor of Science (Mathematik) at Technische Universität Dresden (10/2009 to 08/2012), Bachelor's Thesis: "Random Forests und ihre Anwendung zur Regression"
Publications
Recent and current projects
- Datengetriebene Generierung von Modellen und Sensitivitätsanalyse für Produktionsprozesse (BMBF, 04/2020 to 11/2023) im Verbundprojekt OptProDat
- Anspruchsvolle Freiformbeschichtung flächiger und 3-dimensionaler Substrate durch Inline-Sputtertechnick (SAB, 08/2019 to 12/2020)
- Newton-type Methods for Nonsmooth Equations with Nonisolated Solutions (DFG, 01/2017 to 12/2019)
- Optimierungstechniken für Klassifikation und Regression, Teil II (Industry, 01/2017 to 12/2017)
- Optimierungstechniken für Klassifikation und Regression (Industry, 10/2014 to 12/2016)
- Support-Vector-Methoden und multivariate Regression (Industry, 04/2013 to 09/2014)
- Support Vector Methoden (Industry, 09/2011 to 08/2013)