Research Theses

This page lists current and completed Bachelor's, Master's, and Doctoral theses conducted at IOL. Prospective students interested in thesis projects should have a look at our how to join page.

Dissertation projects

ongoing
Nico Pelleriti at TUB  supervised by Sebastian Pokutta
ongoing
Nicolas Leins at TUB  supervised by Sebastian Pokutta
ongoing
Kirill Khoruzhii at TUB  supervised by Sebastian Pokutta
ongoing
Wenjie Xiao at TUB  supervised by Sebastian Pokutta
ongoing
Alonso Urbano at TUB  supervised by Sebastian Pokutta
ongoing
Olivia Röhrig at TUB  supervised by Sebastian Pokutta
ongoing
Moritz Wagner at TUB  supervised by Sebastian Pokutta
ongoing
Ingo Meise at TUB  supervised by Sebastian Pokutta
ongoing
Yves Jäckle at TUB  supervised by Sebastian Pokutta
ongoing
Deborah Hendrych at TUB  supervised by Sebastian Pokutta
ongoing
Konrad Mundinger at TUB  supervised by Sebastian Pokutta
ongoing
Jannis Halbey at TUB  supervised by Sebastian Pokutta
ongoing
Aldo Kiem at TUB  supervised by Sebastian Pokutta
ongoing
Berkant Turan at TUB  supervised by Sebastian Pokutta
ongoing
Sebastian Knebel at TUB  supervised by Sebastian Pokutta
ongoing
Mohammed Ghannam at TUB  supervised by Sebastian Pokutta
ongoing
Max Zimmer at TUB  supervised by Sebastian Pokutta
ongoing
Christophe Roux at TUB  supervised by Sebastian Pokutta
ongoing
Gioni Mexi at TUB  supervised by Thorsten Koch
ongoing
Alexander Hoen at TUB  supervised by Timo Berthold
Oct 2025
Shpresim Sadiku at TUB  supervised by Sebastian Pokutta
Jun 2025
Antonia Chmiela at TUB  supervised by Sebastian Pokutta
Nov 2024
Algorithms and Certificates for Exact Mixed Integer Programming
Leon Eifler at TUB  supervised by Thorsten Koch
Jun 2024
Frank-Wolfe Algorithms in Polytope Settings [URL]
Elias Wirth at TUB  supervised by Sebastian Pokutta
Mar 2022
Towards Explainable Artificial Intelligence [URL]
Stephan Wäldchen at TUB  supervised by Sebastian Pokutta
Apr 2021
Frank-Wolfe Methods for Optimization and Machine Learning [URL]
Cyrille Combettes at GT  supervised by Sebastian Pokutta
Sep 2020
Faster Conditional Gradient Algorithms for Machine Learning [URL]
Alejandro Carderera at GT  supervised by Sebastian Pokutta
May 2019
Resource Allocation and Subset Selection [URL]
Alfredo Torrico Palacios at GT  supervised by Mohit Singh and Sebastian Pokutta
May 2017
Scaling-based Methods in Optimization and Cut Generation [URL]
Jeff Pavelka at GT  supervised by Sebastian Pokutta and Chelsea White
May 2017
A Reduction Framework for Approximate Extended Formulations and a Faster Algorithm for Convex Optimization [URL]
Daniel Zink at GT  supervised by Sebastian Pokutta
May 2017
LP and SDP Extended Formulations [URL]
Aurko Roy at GT  supervised by Sebastian Pokutta
May 2016
The Complexity of Extended Formulations [URL]
Arefin Huq at GT  supervised by Lance Fortnow and Sebastian Pokutta
May 2015
Information, Complexity and Structure in Convex Optimization [URL]
Cristóbal Guzmán at GT  supervised by Sebastian Pokutta and Arkadi Nemirovski

Master projects

Feb 2025
Decomposition-Invariant Conditional Gradient Method in the Boscia Framework
at TUB  supervised by Sebastian Pokutta
Oct 2024
Sparse Adversarial Attacks
at TUB  supervised by Sebastian Pokutta
Jul 2024
Towards Efficient LLM Specialization - Exploring Magnitude Pruning Strategies for Sparse Fine-Tuning
at TUB  supervised by Sebastian Pokutta
Jul 2024
A Comparison of Boosting and Repeated Boosting in Binary Classification
at TUB  supervised by Sebastian Pokutta
May 2024
Mixed-Integer Optimization for Loopless Flux Distributions
at FUB  supervised by Sebastian Pokutta
Feb 2024
Formal Proofs From THE BOOK
at FUB  supervised by Sebastian Pokutta and Tibor Szabó
Dec 2023
Beyond Alternating Projections
at TUB  supervised by Sebastian Pokutta
May 2023
Bridging the Gap Between AlphaZero and Policy Gradient Methods
at TUB  supervised by Sebastian Pokutta
May 2023
Solving Optimal Design Problems with Mixed-integer Convex Methods
at FUB  supervised by Ralf Borndörfer
Apr 2023
Improved Machine Learning Methods for Parameter Estimation of Ordinary Differential Equations
supervised by Sebastian Pokutta
Nov 2022
Learning Strong Branching Scores in MILP Solvers
at TUB  supervised by Sebastian Pokutta
Oct 2022
The Flag Algebra Approach in Extremal Combinatorics
at FUB  supervised by Sebastian Pokutta and Tibor Szabó
May 2022
Anomaly Detection for Sensor Data of Air Handling Units
at TUB  supervised by Sebastian Pokutta
May 2022
Robustness of Hybrid Discriminative-Generative Models
at TUB  supervised by Sebastian Pokutta
Apr 2022
Comparing Explanation Methods for Neural Networks
at TUB  supervised by Sebastian Pokutta
Sep 2021
Synthetic TOF-MRA Image-label Pairs with Differential Privacy Guarantees Using Generative Adversarial Networks
at TUB  supervised by Sebastian Pokutta
Jul 2021
New Ideas for the Feasibility Pump
at TUB  supervised by Thorsten Koch
Jun 2021
Sparsity in Neural Networks
at TUB  supervised by Sebastian Pokutta
Jun 2021
An Online Learning Approach to Efficiently Solve Min-max Problems in Machine Learning
at TUB  supervised by Sebastian Pokutta
Oct 2020
Hysteretic Neural Networks
at TUB  supervised by Pavel Gurevich and Sebastian Pokutta

Bachelor projects

Aug 2024
Learning with Guarantees - Approximate Vanishing Ideals in Neural Network Latent Spaces
at TUB  supervised by Sebastian Pokutta
Apr 2023
Sparse Adversarial Attacks
supervised by Sebastian Pokutta
Feb 2023
New PAC-Bounds for Classification Via Partitioning
at TUB  supervised by Sebastian Pokutta
Nov 2022
Mistake Bounds for Quasi-additive Algorithm
at TUB  supervised by Sebastian Pokutta
Jun 2022
Low-Frequency Adversarial Attacks
at TUB  supervised by Sebastian Pokutta
May 2022
Sparse Adversarial Attacks
at TUB  supervised by Sebastian Pokutta
Feb 2022
Shift Invarianz Und Adversarial Robustheit von Convolutional Neural Networks Durch Blur-Filter
at TUB  supervised by Sebastian Pokutta
Dec 2021
Using Momentum in Neural Network Training
at TUB  supervised by Sebastian Pokutta
Jul 2021
On a Combinatorial Game As a Rich Environment for Deep RL
supervised by Sebastian Pokutta
Apr 2021
Mirror Descent Method with Frank-Wolfe Algorithm
at TUB  supervised by Sebastian Pokutta
Mar 2021
Boosting Via Integer Programming Over Stronger Base Learners
at TUB  supervised by Sebastian Pokutta
Jan 2021
Methods for Sparse Signal Representation
at TUB  supervised by Sebastian Pokutta