Open Research Space (ORS)

The "Open Research Space" (ORS) was founded to bring together students with an interest in AI and to facilitate the scientific exchange among students. The ORS offers the chance to present and discuss one's own projects (e.g., hobby projects, thesis work), exciting research developments, and ideas in a relaxed environment. Knowledge is taken in, expanded in a creative way, and passed on.

Past Events and Presentations

Student Presentation: AI Based Identification and Relevance Classification of Company Names in News Articles + Discussion: ChatGPT
Lab Tour: Aviation Lab
Workshop: Build your own website with Github Pages
Student Presentation: Petly
AI Community Presentation: Federated Learning + Student Presentation: Machine Learning Credit Analysis
AI Community Presentations: LAIKA + Using Machine Learning to Fight Misinformation
Workshop: Introduction to Phonetics for AI Students
AI Community Presentation: Social Media Data Analysis
Lab Tour: Car2X Lab
AI Community Presentation: Renumics
Paper Discussion: Trustworthy AI
Paper Discussion: Attention is all you need
Workshop: How to create a good CV?

ORS Introduction + HAnS
Introduction + Presentation: Bias in Flemish Speech Recognition
Lab Tour: Aviation Lab + Presentation: Computer-assisted Pronunciation Training for Mandarin
Presentation: Acceptance of AI
Workshop: Introduction to Phonetics for AI Students
AI Community Presentation: AININ
Lab Tour: VR Lab
Presentation: Center of Entrepreneurship + Student Presentation: Social Media Web App + Student Presentation: UX Design
Junior/PhD Panel Session
Senior/Professor Panel Session
Lab Tour: Cybersecurity Lab
AI Community Presentation: Role of AI in Interpreting
Open Discussion Round

Victor Hug: "Vergleich von Features für MER (Music Emotion Recognition)"
Noah Dick: "Emotionsextraktion aus Gehirnaktivitätsvoxeln"
Phillip Weinmann: "Laser mit Sprachsteuerung"
Taylan Volkan: "Sentiment Bias in Machine Translation"
UXD Masterstudierende: ENAMOUR Projekt
Kai Hartung: "Statistische Methode zur Untersuchung von Korrelationen in der Evolution von Sprachen"
Cedric Friedrichs: "Automatisierte Extraktion strukturierter Daten aus Informationssicherheits-Audits"
Moritz Kastler: "Transferaufgabe von emotionaler Gesichtserkennung"
Aaricia Herygers: "Spraakherkenning, wa is da? — Bias in Flemish Speech Recognition"
Kevin Glocker: "Unsupervised End-to-End Computer-Assisted Pronunciation Training for Mandarin"
Aaricia Herygers: "Introduction to Phonetics for AI Students"

FAQs regarding Attendance

Q: For whom is it suitable?

A: For everyone with an interest in an open exchange and in developing themselves.

Q: What are the participation requirements?

A: There are none! Everyone is welcome, whether you're in the first or last semester, whether or not you know programming, or if you work on these topics in your spare time. Your opinion and ideas are important, share them with us!

Q: Do I need to work on own projects or research?

A: No! You're very welcome to present your own work but you don't need to. You can just sit on our couch and participate.

Q: Do I need to attend regularly?

A: Absolutely not! You can come and leave whenever it suits you. If you don't have time or don't feel like it, you also don't need to let anyone know.

Link to Moodle Course

https://moodle.thi.de/course/view.php?id=8188