Signal Processing Department


Lab Name and Affiliation

Signal Processing Department

Institute for Infocomm Research, A*STAR

Lab Director (or Principal Investigator)

Dr. Rongshan Yu received his PhD degree in electrical engineering from the National University of Singapore (NUS, Singapore). In 1999, he joined Centre for Signal Processing, Nanyang Technological University (NTU, Singapore) as a Research Engineer. After that, he joined Dolby Laboratories, USA as a staff engineer in 2006. Dr. Yu joined Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR) as a research scientist in 2009 and currently he is the Department Head of Signal Processing Department at I2R. His research interests include statistical signal processing and its application in speech/audio processing, multimedia, and green energy systems. He holds more than 20 US/international patents (including pending applications) in these areas.
Dr. Yu is currently the Associate Editors of IEEE Transactions on Audio, Speech and Language Processing and IEEE Access online journal, and he served as track/session chairs and TPC members for various conferences in the areas of signal processing and multimedia. He is a member of the Technical Committee of the Multimedia Systems and Applications of the IEEE Circuits & Systems Society, and Technical Committee of Speech, Language and Audio of APSIPA. He is the editor of MPEG audio standards including ISO/IEC 14496-3/AMD.5 (MPEG-4 Audio Scalable Lossless Coding) and ISO/IEC 14496-5:2001/Amd.10 (SSC, DST, ALS, and SLS reference software). He is a senior member of the IEEE, and a Fellow of IET. He received the Tan Kah Kee Young Inventors' Gold award in the Open Category in 2003 for his contributions to the scalable to lossless audio compression technology, and Singapore National Technology Award in 2007 in recognition of his contributions to the advancement of digital audio signal processing and MPEG audio coding standard.

Lab Introduction

The R&D activities in the Signal Processing Department span from fundamental research in coding, enhancement, classification and processing of single and multi-dimensional signal to applied research for multimedia systems, complex networks, green energy systems and real-time implementation. Current research efforts include advanced coding of multimedia data for efficient storage and delivery in heterogeneous networks, perceptual quality evaluation methods of multimedia signals, advanced signal processing and fusion of signals produced from a variety of sensors, signal modeling/adaptation for complex networks and next-generation content-based search engines that dramatically reduces power and space consumption by 2-3 orders of magnitude without sacrificing reliability and cost. Signal processing department aims to develop leading-edge technologies for better signal acquisition, representation, detection and estimation that demonstrate high research values as well as substantial commercial potential. The department takes a strong interdisciplinary approach and means to enable actualization of the research outcome to new products, processes, applications, or services that improve quality of life.

Lab Contact E-mail


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