To path indicator Subpages of “Research“ To navigation To quick access To footer with other services
To content
Headrbild mit Netzstruktur auf grauem Hintergrund © Pixabay
Research

Colloquium and further lectures

The colloquium of the Department of Computer Science is one of the central platforms for scientific, as well interdisciplinary, exchange. Both invited external researchers and scientists from the department, transcending the boundaries of individual working groups, present their current research and projects here. 
Furthermore, lectures by the Lamarr Institute for Machine Learning and Artificial Intelligence and the Research Center Trustworthy Data Science and Security are also listed.

Additionally, you will find announcements of lectures by bachelor's and master's candidates here.

Bachelor and Master lectures

 

Wednesday, May 13, 2026, 10:15–11:00 a.m., OH12/2013
Lilly Mielke
Comparison of Classical Automata Learning with Process Mining for Generating Formal Models
Advisor: Prof. Dr. Hower
Bachelor’s Introductory Lecture


Wednesday, May 13, 2026, 11:00 a.m.–12:00 p.m., OH12/2013
Mohammadreza Javadikouchaksaraei
Evaluation of Deployment Approaches for Complex Industry 4.0 Applications in the Context of the PURIS Case Study Based on Eclipse Tractus-X
Advisor: Prof. Dr. Hower
Bachelor’s Introductory Lecture
 

Monday, May 18, 2026, 2:00–2:45 p.m., OH16/205
Julian Tuxhorn
Development of safety-critical KL-based positioning components for autonomous inland waterway shipping
Advisor: Prof. Dr. Buchholz
Master’s Thesis Presentation


Monday, May 18, 2026, 3:00–3:45 p.m., OH16/205
Malek Aloui
Development of an AI-based Detection and Tracking Pipeline for Swimmers and Small Watercraft in Harbor Environments based on ROS 2
Advisor: Prof. Dr. Buchholz
Bachelor’s Thesis Presentation
 

Monday, June 1, 2026, 3:00–3:30 p.m., OH16/205
Ahmad Al Ahdab
Software for Analyzing M/M/1 Queues with Correlated Inter-Arrival and Service Times
Advisor: Prof. Dr. Buchholz
Bachelor’s Introductory Lecture


Monday, June 8, 2026, 2:15–3:00 p.m., OH16/205
Elif Korkmaz
Development of a deep learning pipeline for the detection, classification, and spatial localization of mooring points in port environments
Advisor: Prof. Dr. Buchholz
Bachelor’s Thesis Presentation


Monday, June 8, 2026, 4:15–4:45 p.m., OH12/2013
Johann Osing
Unambiguous Characterizations via Examples in Horn Description Logics
Advisor: Prof. Dr. Jung
Master’s Introductory Lecture
 

Tuesday, June 30, 2026, 4:15–4:45 p.m., OH12/3.031
Dushan Oravskyi
Analysis of State Complexity in the Determinization of Finite Automata
Advisor: Prof. Dr. Schwentick
Bachelor’s Introductory Lecture


Tuesday, June 30, 2026, 4:45–5:15 p.m., OH12/3.031
Jannes Große Vestert
Randomized Sliding Window Algorithms for Regular Languages
Advisor: Prof. Dr. Schwentick
Bachelor's Introductory Lecture


Tuesday, June 30, 2026, 5:15–5:45 p.m., OH12/3.031
Marian Holschen
Results on the regularity problem for deterministic context-free languages
Advisor: Prof. Dr. Schwentick
Bachelor's Introductory Lecture

 

 

 

 

 

 

 

 

To the archive