ASU Directory Profile
Research interests: Time-varying signal and system processing; statistical processing for detection, estimation and tracking; signal processing algorithm development for biomedical, biological and structural health monitoring; wireless communications applications
Antonia Papandreou-Suppappola joined the ASU faculty as an assistant professor in 1999 and was promoted to associate professor in 2004 and professor in 2008.
Her professional service includes: chair of the Women in Signal Processing committee, IEEE Signal Processing Society (2014-2017); member, IEEE Signal Processing Society Board of Governors (2010-2012); technical area chair, Array Processing and Statistical Signal Processing, Asilomar Conference on Signals, Systems, and Computers (2010); Special Sessions Chair, IEEE International Conference of Acoustics, Speech and Signal Processing (2010); general chair, Sensor Signal and Information Processing Workshop (2008); guest editor, special issue on Waveform-Agile Sensing and Processing, IEEE Signal Processing Magazine (2009); guest editor, special issue on Adaptive Waveform Design for Agile Sensing, IEEE Journal on Selected Topics in Signal Processing (2007); associate editor, IEEE Transactions on Signal Processing (2005-2009); technical committee member, IEEE Signal Processing Society on Signal Processing Theory and Methods (2003-2008) and treasurer of the IEEE Signal Processing Society Conference Board (2004-2006).
Ph.D., electrical engineering, University of Rhode Island, 1995
M.S., electrical engineering, University of Rhode Island, 1991
B.S., electrical engineering, University of Rhode Island, 1989
Recognition and awards
Fulton Exemplar Faculty Award, 2014
Doctoral Research Award, 2014
IEEE Fellow, 2013
Fulton School of Engineering Award, 2013
Bob Owens Memorial Best Paper Award in IEEE Workshop on Signal Processing Systems, 2010
Top 5% of Fulton School of Engineering Teachers Teaching Excellence Award, May 2009
IEEE Phoenix Section Society Research Award for the SenSIP Center, 2008
Fulton School of Engineering Teaching Excellence Award, 2005
IEEE Phoenix Section Outstanding Faculty for Research Award, 2003
NSF CAREER Award, 2002
P. Ebenezer and A. Papandreou-Suppappola, “Low RCS target tracking in estimated rapidly-varying sea clutter using a Kronecker product approximation algorithm,” IEEE Journal of Selected Topics in Signal Processing, December 2015.
O’ Donnell, A. Maurer, A. Papandreou-Suppappola, P. Stafford, “Time-frequency analysis of peptide microarray data: Application to brain cancer immunosignatures,” Cancer Informatics, pp. 219-233, vol. 14, June 2015.
Chakraborty, N. Kovvali, A. Papandreou-Suppappola, A. Chattopadhyay, “An adaptive learning damage estimation method for structural health monitoring,” Journal of Intelligent Material, Systems and Structures, pp. 125-143, vol. 26, January 2015.
Banavar, J. J. Zhang, B. Chakraborty, H. Kwon, Y. Li, H. Jiang, A. Spanias, C. Tepedelenlioglu, C. Chakrabarti, A. Papandreou-Suppappola, “An overview of recent advances on distributed and agile sensing algorithms and implementation,” Digital Signal Processing, pp. 1-14, vol. 39, April 2015.
Edla, N. Kovvali, and A. Papandreou-Suppappola, “Electrocardiogram signal modeling with adaptive parameter estimation and cardiac classification using sequential Bayesian methods,” IEEE Transactions on Signal Processing, pp. 2667-2680, vol. 62, May 2014.
O’ Donnell, A. Maurer, and A. Papandreou-Suppappola, “Biosequence time-frequency processing: Pathogen detection and identification,” in Excursions in Harmonic Analysis, Volume 3, (R. Balan, M. Begue, J. J. Benedetto, W. Czaja, K. A. Okoudjou, Eds.), Springer Verlag Heidelberg, 2015.