Christian Dugast

Dr Christian Dugast is a seasoned scientist in Machine Learning, with strong accents on Automatic Speech Recognition, Information Extraction and Natural Language Understanding. Christian received his Ph.D. in Computer Science from the University of Toulouse (France) and started his professional life as a research scientist in Automatic Speech Recognition (ASR) at Philips Research. He prides himself in having been one of the first to propose a hybrid approach for ASR combining Neural Networks and Hidden Markov Models (IEEE paper 1994). In recent years, Christian was working for Karlsruhe Institute of Technology (KIT) and for the German Research Center for Artificial Intelligence (DFKI). He is currently working with Prof Hermann Ney for RWTH University as well as leading the Natural Language Understanding research group at AppTek.