CDIO Regional Meeting - Asia-Pacific

Bernald Merialdo is the Professor in the field of Machine learning and Big Multimedia Data Analysis at Institut Eurecom. He was admitted in the Ecole Normale Supérieure, Paris in 1975; received his PhD in Computer Science from Paris 6 University for his word on Automated Theorem Proving in 1979 and was awarded the “Habilitation à Diriger des Recherches” from Paris 7 University for his research on probabilistic language modeling in 1992. Prof. Bernald Merialdo worked as a project leader at IBM France Scientific Center for 11 years from 1981. During that time, he led several research projects on Natural Language Processing and Speech Recognition using probabilistic models and also developed PARSYFAL, the first French very large vocabulary speech recognition system. He joined Institut Eurecom in 1992 and has worked here as Professor, probabilistic models for Machine learning and Big Multimedia Data Analysis up to now. He currently teaches Intelligent Systems and Multimedia Information Retrieval in the Data Science Department. His research interest is the analysis, processing, indexing and filtering of Multimedia information to solve user-related tasks. His research covers a whole range of problems, from content extraction based on recognition techniques, content understanding based on parsing, multimedia content description languages (MPEG7), similarity computation for applications such as information retrieval, and user personalization and user interaction for the construction of applications. He has done several projects on video segmentation and classification, summarization, classification, object tracking, 2D and 3D statistical modeling, personalization. He participates in numerous conference program committees. He is part of the organizing committee for the CBMI workshop, editor for the "IEEE Transactions on Multimedia" and organizer of the ACM Multimedia conference, senior member of the IEEE and member of the ACM. He often acts as an expert and reviewer for French and European research programs.