Mark Cieliebak

Mark Cieliebak is a Professor for Speech and Text Processing at the Zurich University of Applied Sciences (ZHAW), School of Engineering, where he leads the Natural Language Processing (NLP) research group at the Centre for Artificial Intelligence. He has held this position since December 2018, following prior roles as a lecturer at ZHAW (2012-2018). His educational background includes a Dr. sc. techn. in Computer Science from ETH Zürich (1999-2003) and a Diplom in Computer Science from Universität Dortmund (1990-1999).

His research focuses on Natural Language Processing, Text and Speech Analysis, and Machine Learning applications. Primary domains include dialogue systems evaluation, low-resource speech recognition (particularly Swiss German), automated text generation assessment, and NLP for social media analysis. He also explores educational applications through flipped classroom methodologies and machine learning operations.

Cieliebak's publications (2020-2024) demonstrate strong emphasis on NLP evaluation frameworks, speech corpus development for dialects, and generative AI validation. Recurring themes include robustness testing, bias mitigation in automated metrics, and multilingual processing challenges. His work frequently involves large-scale dataset creation and ensemble learning techniques.

Scientific Awards:

• SwissNLP Award 2023
• Best Paper Award - Honorable Mention at EMNLP 2020
• ZHAW Teaching Award 2015

He leads numerous research projects including:

• Unified Model for Text Generation Evaluation
• End-to-End Swiss German Speech Translation
• Holistic Analysis of Misinformation in Social Networks
• Automated News Processing (AutoNews)
• Chatbot Development for Language Learners

He co-founded SpinningBytes AG (2015-present) and maintains extensive industry collaborations. As head of the NLP research group, he oversees doctoral candidates and master's students, though specific advisee names aren't listed.