معرفی
Shigehiko Schamoni is a Lecturer and Compute Lab Manager at Heidelberg University's Institute of Computer Engineering (ZITI), where he oversees scientific computing infrastructure and teaches computer science courses. He is completing his PhD under Prof. Stefan Riezler in the Statistical NLP group. His dual roles bridge technical management and academic instruction, with teaching responsibilities spanning undergraduate and graduate courses since 2011.
Research Focus: Schamoni's work intersects clinical AI and natural language processing, with emphasis on:
- Machine learning for medical applications (sepsis prediction, clinical validity)
- Speech translation and automatic speech recognition
- Cross-lingual information retrieval
- Data augmentation techniques
- Multimodal machine learning
His 15 most recent publications (2016-2024) demonstrate strong thematic clustering: 47% focus on medical AI (primarily sepsis prediction and clinical data validation), while 53% address NLP challenges (speech translation, ASR, and multimodal systems). This bifurcation reflects consistent collaboration with medical researchers alongside core NLP innovation.
Teaching Experience includes instruction across 10+ courses since 2011, such as:
- Graduate courses: "Tools – Werkzeuge für effizientes wissenschaftliches Arbeiten" (2023-2024)
- Undergraduate courses: "Einführung in die Nutzung computerlinguistischer Ressourcen" (2021-2022)
- Programming courses: "Advanced Programming" and "Parallel Programming Paradigms" (2012-2015)
He maintains affiliations with both the ZITI infrastructure team and Statistical NLP research group.
