Ivo Bueno
Research Assistant, PhD Student
Room: 249
Office Hours: by Appointment
E-Mail: ivo.bueno[at]tum[dot]de
🧑💻 About Me
I am a passionate Ph.D. candidate at the Technical University of Munich. My academic journey began with a Bachelor's degree in Computer Science from FAU Erlangen-Nürnberg, followed by a Master's in Computational Linguistics from LMU Munich. My research interests lie at the intersection of machine learning, natural language processing, and multimodal AI, with a strong focus on fostering effective and ethical interactions between humans and intelligent systems.
Before starting my Ph.D., I gained over five years of experience as a software developer at e.solutions GmbH, working on real-world applications in industry. During my Master's, I further honed my expertise as a research assistant, designing and teaching programming tutorials while supporting exam development. Now, in my Ph.D., I am excited to explore novel approaches to human-centered AI, combining insights from computational linguistics, federated learning, and privacy-enhancing technologies to create more inclusive and intelligent learning systems.
📈Career Development
- 2019 – 2022: B. Sc. in Computer Science, FAU Erlangen, Germany
- 2022 – 2024: M. Sc. in Computational Linguistics, LMU Munich, Germany
- 2025 – Present: Doctoral candidate, TU Munich, Germany
🧠Research Interest
- Machine Learning / Deep Learning
- Natural Language Processing
- AI for Education
- Interpretability
📚Publications
- Ivo Bueno, Anna Bavaresco, João Miguel Cunha, and Philipp Wicke. 2025. Testing Spatial Intuitions of Humans and Large Language and Multimodal Models in Analogies. In Proceedings of the 2nd Workshop on Analogical Abstraction in Cognition, Perception, and Language (Analogy-Angle II), pages 108–132, Vienna, Austria. Association for Computational Linguistics.
- Ivo De Souza Bueno Júnior, Haotian Ye, Axel Wisiorek, and Hinrich Schuetze. 2025. Privacy-Preserving Federated Learning for Hate Speech Detection. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop), pages 129–141, Albuquerque, USA. Association for Computational Linguistics.
Also, check Google Scholar for an up-to-date list.
🗞️News
07.11.2025: Our Team Wins Second Place in the AIAI Competition
We are pleased to announce that our team — Ivo Bueno, Ruikun Hou, Dr. Babette Bühler, and Dr. Tim Fütterer — has won second place in the AI for Advancing Instruction (AIAI) Competition 2025, organized by DrivenData in collaboration with the University of Virginia.
The AIAI challenge invited participants to develop machine learning models capable of automatically identifying instructional activities in classroom videos and discourse content in anonymized audio transcripts.
Our submission focused on transformer-based architectures optimized for multimodal data, achieving excellent performance across both video and audio tasks. The competition comprised two phases—model development on labeled training data and evaluation on an unseen test set—with final rankings determined by the instructional activity and discourse labels predictions.
This competition brought together leading research teams from around the world, advancing the state of the art in AI-assisted education research.
We warmly congratulate Ivo, Ruikun, Babette, and Tim on this remarkable achievement, and extend our thanks to the competition organizers and all participating teams for their inspiring contributions to this important field.
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