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Professorship Predictive Analytics
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Professorship Predictive Analytics 

Research Colloquium (Summer semester 2026)

DozentIn: Prof. Dr. Ragni

On this page you will find the event schedule of the PVA Research Colloquium, in which the following are presented:

  • current research results, conference papers and attended events
  • final theses
  • the research by invited guests

The events can be taken in the Sensors and Cognitive Psychology program.

  • in the Bachelor's program SeKo after SO 2022 or 2023 (enrollment from WiSe 2022/23) as part of the module BSeKo-15 "Current research in the field of sensors and cognitive psychology".
  • in the master program SeKo after SO 2022 or 2023 (enrollment from WiSe 2022/23) as part of the module MSeKo-09 "Master thesis".

In particular, you should attend the events if you are interested in writing a thesis at our professorship, but students from early semesters and other courses are also welcome.

We look forward to welcoming you to our research colloquium!

The current schedule can be found below.

Colloquium:

  Time: Monday, 13:45 - 15:15

  Place: C43.306 [Attention – change of room]

  Webroom: Webraum FoKo PVA

 

Date Speaker Topic
13.04.2026 Leonardo Puricelli Kognitive Modellierung der aufmerksamkeitsabhängigen Verarbeitung robotischer Bewegungsabsichten in kollaborativen Montageszenarien

20.04.2026

09:00-10:30

Zoomraum

Prof. Frank Ortmeier Metech-Kooperationsprojekt (Titel folgt)
27.04.2026

Internal

Frontiers in AI/LLM 1 (Reading+Discussion)

04.05.2026

 

 
11.05.2026    
18.05.2026

Internal

Frontiers in AI/LLM 2 (Reading+Discussion)

25.05.2026 Feiertag

Feiertag

01.06.2026 Prof. Michael Teichmann Generative AI: Evolution of Models and the Computational Substrate Behind Them
08.06.2026    
15.06.2026  
 
22.06.2026 Prof. Frieder Stolzenburg und Stefanie Krause

Explainable Artificial Intelligence and Reasoning in the Context of Large Neural Network Models

29.06.2026

Internal

Frontiers in AI/LLM 3 (Reading+Discussion)

06.07.2026    
13.07.2026 Internal

Frontiers in AI/LLM 4 (Reading+Discussion)

     

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