Adrian Göß
Doctoral Researcher
Department Liberal Arts and Sciences
Analytics and Optimization Lab
- Telefon: +49 911 92741606
- E-Mail: adrian.goess@utn.de
Curriculum Vitae
Education
| Since 2022 | Doctoral Candidate in Mathematics, Friedrich-Alexander-Universität, Erlangen |
| 2019–2021 | M. Sc. Mathematics, Friedrich-Alexander-Universität, Erlangen, Minor: Comp. Sc. Overall grade 1.0 |
| 2016–2019 | B. Sc. Mathematics & Economics, Friedrich-Alexander-Universität, Erlangen Overall grade: 1.3 |
| 2008–2016 | Allgemeine Hochschulreife (A levels), Friedrich-Alexander-Gymnasium (High School), Neustadt a.d. Aisch Overall grade: 1.1 |
Professional Experience
| Since 2023 | Research Associate, University of Technology Nuremberg, CRC/Transregio 154, Nuremberg Combining Machine Learning and Mathematical Optimization for the optimal control of natural gas networks through decomposition approaches |
| 2022–2023 | Research Associate, Friedrich-Alexander-Universität (Department of Data Science), CRC/Transregio 154, Erlangen-Nuremberg Combining Machine Learning and Mathematical Optimization for the optimal control of natural gas networks through decomposition approaches |
| 2022 | Consulting Project, Novartis AG Administration, data-based analysis and visualization of internal experiments |
| 2019–2022 | Researching Student Assistant, Friedrich-Alexander-Universität, Department of Mathematics, Erlangen-Nuremberg Conceptual design and implementation of a heuristic for solving mixed-integer programs |
| 2020–2021 | Working student in cooperation management, Siemens Healthineers, Erlangen 1) Implementation of a gateway between two databases using C# 2) Evaluation of data in csv and Excel format into a holistic view |
| 2020 | Consulting Project, Method Park Holding AG Experience-based conceptual design of a digital alternative to a networking event in the IT sector due to the impact of the Covid-19 pandemic |
| 2018–2020 | Working student in Operations Cost, Schaeffler Technologies, Herzogenaurach 1) Administration and further development of a MS Access database with SQL-based back-end 2) Training in self-designed and programmed MS Excel tools 3) Support in the role of a Data Architect in the digitization of the above mentioned database 1/2 |
| 2014–2018 | Near-production holiday work, Schaeffler Technologies, Herzogenaurach Activity in the areas of hardening, electroplating, grinding, stamping, final assembly, packaging, logistics and quality assurance |
Teaching
| Winter 2022/23 | Discrete Optimization III, Friedrich-Alexander-Universität, Erlangen Topics: Integrality of Polyhedra, Lattice Methods, Solvability of IP in Fixed Dimension, the TSP as an Application |
| Summer 2023 | Discrete Optimization II, Friedrich-Alexander-Universität, Erlangen Topics: Proximity, Complexity of LPs, Decomposition Approaches (Lagrange, Dantzig-Wolfe, Benders, Extended Formulations), Interior-Point Methods Other Activities |
Other Activities
| 2021–2022 | Member of the board — Finance & Legal, Junior Consulting Team e.V., Erlangen-Nuremberg Strategic management of the student consultancy in the 3-member board team. as well as responsibility for the legal protection, liquidity and organization of the operational legal and financial affairs of the association |
| Since 2020 | Student Consultant, Junior Consulting Team e.V., Erlangen-Nuremberg 1) Support for member training as a customer in project simulation 2) Training of members in programming with Python 3) Multiple participation in the admission process by means of conduction case studies and biographical/situational interviews |
Talks
| 2023 | Norm-induced Cuts: Optimization with Lipschitzian Black-Box Functions, Optimization 2023, Aveiro, Portugal |
Publications
| A. Göß, A. Martin, S. Pokutta, K. Sharma. Norm-induced Cuts: Optimization with Lipschitzian Black-Box Functions, Preprint, 2023
K. Halbig, A. Göß, D. Weninger. Exploiting User-supplied Decompositions inside Heuristics, Preprint, 2023 |
Hobbies and Interests
- Amateur football
- Weight training
- Financial assets
- Fishing