Director SenSIP Center and NSF I/UCRC
Associate Director, School of Arts, Media and Engineering
ASU Directory Profile
Research expertise: Digital signal processing, multimedia, speech and audio coding, adaptive filters, real-time processing of sensor data, DSP for media applications
Andreas Spanias joined ASU in 1988. He has published more than 75 journal and 200 conference papers and contributed several book chapters. He authored two textbooks in DSP and audio coding and eight Morgan-Claypool Lecture Series research monographs. He has served as associate editor of IEEE Transactions on Signal Processing, as the general co-chair of the IEEE ICASSP-99 and as vice-president of the IEEE Signal Processing Society (SPS). He received the 2005 IEEE SPS Meritorious Service Award. He served as the founding associate director of the ASU School of Arts, Media and Engineering (AME), Director of the SenSIP Center and Industry Consortium, which is an NSF I/UCRC, PI of a major multi-university NSF program and Co-PI on the NSF AME IGERT. He is a book series editor for Morgan-Claypool Lecture Series. He co-authored two U.S. patents (US 8,392,198 B1, US 20110150229 A1).
Ph.D., electrical engineering, West Virginia University, 1988
M.S., electrical engineering, West Virginia University, 1985
B.S., electrical engineering, West Virginia University, 1983
Recognition and awards
IEEE Fellow; IEEE Distinguished Lecturer (2004); IEEE Donald G. Fink Prize for paper “Perceptual Coding of Digital Audio” (2002); Intel Advanced Personal Communications Award (1997;) Intel Research Council: Award (1996); Intel Award for Leadership & Contributions to the 60172 Architecture (1993); Harden-Simmons Prize Paper Award (2015), UNESCO Club Award on Scholarly Achievements (2015), Premier award by the UC-Berkeley NEEDS panel (co-sponsored by Microsoft Research, Wiley and TechSmith) (2015)
Banavar, C. Tepedelenlioglu, A. Spanias, “Robust Consensus in the Presence of Impulsive Channel Noise,” IEEE Trans. on Signal Processing, Vol. 63, pp. 2118-2129, March 2015.
Shah , C. Chakrabarti and A. Spanias, “Within and cross-corpus speech emotion recognition using latent topic model-based features”, EURASIP Journal on Audio, Speech, and Music Processing, 2015:4 (25, January 2015.
Santucci, M. K. Banavar, A. Spanias, and C. Tepedelenlioglu, “Energy-efficient distributed estimation by utilizing a nonlinear amplifier,” IEEE Transactions on Circuits and Systems – I, vol. 61, no. 1, pp. 302-311, January 2014.
Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias , “Learning Stable Multilevel Dictionaries for Sparse Representations, IEEE Transactions on Neural Networks and Learning Systems, .Vol. 23, pp. 2905–2915, 2014.
Fink, A. Spanias, P. Cook, “Derivation of a new banded waveguide model topology for sound synthesis,” J. Acoust. Soc. Am., Volume 133, Issue 2, pp. EL76-EL81 (2013).
Dasarathan, C. Tepedelenlioglu, M. Banavar, and A. Spanias, “Non-Linear Distributed Average Consensus using Bounded Transmissions”, IEEE Trans. on Signal Processing, vol. 61, no. 23, Dec. 2013
M.K. Banavar, A.D. Smith, C. Tepedelenlioglu, and A. Spanias, “On the Effectiveness of Multiple Antennas in Distributed Detection over Fading MACs”, IEEE Trans. Wireless Communications, Vol. 11, pp. 1744-1752, May 2012.
Tepedelenlioglu, M.K. Banavar, and A. Spanias, “On the Asymptotic Efficiency of Distributed Estimation Systems with Constant Modulus Signals, IEEE Tran. on Information Theory, vol.57, pp.7125-7130, Oct. 2011.