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Award Detail

Awardee:ARIZONA STATE UNIVERSITY
Doing Business As Name:Arizona State University
PD/PI:
  • Andreas S Spanias
  • (480) 965-1837
  • spanias@asu.edu
Award Date:07/20/2010
Estimated Total Award Amount: $ 300,000
Funds Obligated to Date: $ 406,000
  • FY 2010=$60,000
  • FY 2014=$60,000
  • FY 2011=$118,000
  • FY 2012=$68,000
  • FY 2013=$70,000
  • FY 2015=$30,000
Start Date:08/01/2010
End Date:12/31/2015
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:I/UCRC CGI : SenSIP - A Research Site of the Net-Centric Software and Systems Center
Federal Award ID Number:1035086
DUNS ID:943360412
Parent DUNS ID:806345658
Program:IUCRC-Indust-Univ Coop Res Ctr
Program Officer:
  • Thyagarajan Nandagopal
  • (703) 292-4550
  • tnandago@nsf.gov

Awardee Location

Street:ORSPA
City:TEMPE
State:AZ
ZIP:85281-6011
County:Tempe
Country:US
Awardee Cong. District:09

Primary Place of Performance

Organization Name:Arizona State University
Street:ORSPA
City:TEMPE
State:AZ
ZIP:85281-6011
County:Tempe
Country:US
Cong. District:09

Abstract at Time of Award

The Sensor Signal and Information Processing (SenSIP) consortium at the Arizona State University (ASU) is planning to join the Industry/University Cooperative Research Center (I/UCRC) entitled "Net-Centric Software and Systems" which currently is a multi- university Center comprised of the University of North Texas (lead institution), and the University of Texas at Dallas. The mission of SenSIP at ASU is to develop signal and information processing foundations for next-generation integrated multidisciplinary sensing applications in biomedicine, defense, energy, and other systems. ASU requests funding for becoming a third site of the NSF Center for Net-Centric Software and Systems under the leadership of Professor Andreas Spanias. ASU will bring to the existing Center much needed complementary capabilities in the areas of digital signal and image processing, multimedia systems, sensor networks, information theory and wireless communications. The proposed site will enable the creation of new capabilities in sensor signal processing and will bridge the gap between sensor development and large scale sensor deployment; and, is uniquely positioned to promote industry research, education, scholarship that will integrate well with the existing Net-Centric I/UCRC umbrella. The proposed work will advance the development of signal processing and communication technologies for sensing systems. The proposed research activities at this site are expected to lead to inexpensive, compact, and reusable sensors for industry applications of relevance to medicine, sustainability, entertainment, and defense. The proposed site has several dissemination programs and established structures for recruiting students from underrepresented groups, involving undergraduate students in research, and mechanisms to create and package online modules with interdisciplinary research and education content.

Publications Produced as a Result of this Research

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R. Santucci, M.K. Banavar, C. Tepedelenlioglu, A. Spanias "Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier" IEEE Transactions on Circuits and Systems - I, v.61, 2014, p.302. doi:10.1109/TCSI.2013.2268354 

M. Banavar, C. Tepedelenlioglu, A. Spanias "Robust Consensus in the Presence of Impulsive Channel Noise" IEEE Trans. on Signal Processing, v.63, 2015, p..

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy and Andreas Spanias "Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning" IEEE Transactions on Image Processing, v.23, 2014, p.2905. doi:10.1109/TIP.2014.2322938 

Tepedelenlioglu, C; Banavar, MK; Spanias, A "On the Asymptotic Efficiency of Distributed Estimation Systems With Constant Modulus Signals Over Multiple-Access Channels" IEEE TRANSACTIONS ON INFORMATION THEORY, v.57, 2011, p.7125. doi:10.1109/TIT.2011.216580  View record at Web of Science

Banavar, MK; Tepedelenlioglu, C; Spanias, A "Estimation Over Fading Channels With Limited Feedback Using Distributed Sensing" IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.58, 2010, p.414. doi:10.1109/TSP.2009.202819  View record at Web of Science

M. Banavar . 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" DSP Review, Elsevier, v.39, 2015, p.. doi:doi:10.1016/j.dsp.2015.01.001 

S. Dasarathan, C. Tepedelenlioglu, M. Banavar, A. Spanias "Non-Linear Distributed Average Consensus using Bounded Transmissions" IEEE Transactions on Signal Processing, v.61, 2013, p.6000. doi:10.1109/TSP.2013.2282912 

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias "Mixing matrix estimation using discriminative clustering for blind source separation" Digital Signal Processing, v.23, 2013, p.9-18.

JAYARAMAN J. THIAGARAJAN, KARTHIKEYAN NATESAN RAMAMURTHY, DEEPTA RAJAN, ANDREAS SPANIAS, ANUP PURI and DAVID FRAKES "KERNEL SPARSE MODELS FOR AUTOMATED TUMOR SEGMENTATION" International Journal on Arti?cial Intelligence Tools, v.23, 2014, p.. doi:10.1142/S0218213014600045 

Shah M, Chakrabarti C and Spanias A "Within and cross-corpus speech emotion recognition using latent topic model-based features" EURASIP Journal on Audio, Speech, and Music Processing, Springer, v., 2015, p..

R. Santucci, M.K. Banavar, A. Spanias, C. Tepedelenlioglu "Nonlinear Amplify and Forward Distributed Estimation over Non-Identical Channels" IEEE Transactions on Vehicular Technologies, v., 2014, p..

S. Dasarathan, C. Tepedelenlioglu M.K. Banavar, C. Tepedelnlioglu "Robust Consensus in the Presence of Impulsive Channel Noise" IEEE Transactions on Signal Processing, v., 2014, p..

K.N. Ramamurthy, J.J. Thiagarajan, A. Spanias "Recovering Non-negative and Combined Sparse Representations" Digital Signal Processing, v.26, 2014, p.21. doi:10.1016/j.dsp.2013.11.003 

Publications Produced as Conference Proceedings

Knee, P;Montagnino, L;Halversen, S;Spanias, A "Determining Training Data Requirements for Template Based Normalized Cross Correlation" Conference on Automatic Target Recognition XIX, v.7335, 2009, p. View record at Web of Science

Knee, P;Berisha, V;Spanias, A;Taylor, T "Topology of High-Contrast Patches in SAR Images" 2010 IEEE Radar Conference, v. , 2010, p.905 View record at Web of Science

Miller, SR;Spanias, AS;Papandreou-Suppappola, A;Santucci, R "Enhanced Direction of Arrival Estimation via Reassigned Space-Time-Frequency Methods" International Symposium on Circuits and Systems Nano-Bio Circuit Fabrics and Systems (ISCAS 2010), v. , 2010, p.2538 View record at Web of Science

Gupta, T;Suppappola, SB;Spanias, A "NONLINEAR ACOUSTIC ECHO CONTROL USING AN ACCELEROMETER" IEEE International Conference on Acoustics, Speech and Signal Processing, v. , 2009, p.1313 View record at Web of Science

Knee, P;Thiagarajan, JJ;Ramamurthy, KN;Spanias, A "SAR Target Classification Using Sparse Representations and Spatial Pyramids" IEEE Radar Conference (RADAR), v. , 2011, p.294 View record at Web of Science


Project Outcomes Report

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The ASU Industry University Collaborative Research Center (I/UCRC) site of the Net Centric Cloud and Computing Systems (NCSS) works closely with industry partners in the areas of signal processing, sensor networks and communications systems.    The site is also strongly affiliated with the ASU Sensor Signal and Information Processing (SenSIP) center which is an Arizona State board of regents entity.   In Phase 1 of this I/UCRC program, the ASU NCSS site signed I/UCRC membership agreements with more than 10 companies including Freescale (NXP), Intel, LG Electronics, Lockheed Martin, National Instruments, Raytheon, and Sprint.  The center also engaged in collaborative research agreements with two SBIR companies.  

During the Phase 1 period of this I/UCRC, the ASU site trained more than thirty Ph.D. and Masters students several of whom are working for high-tech company members.  Three former students of the PI have started their own companies and three others have been hired as tenure-track faculty. The center has also established internships with industry partners and some of the ASU Site students have obtained summer internships in industry labs.  In addition, the I/UCRC site has  trained undergraduate students through REV and REU supplements. These undergraduate students have worked with our graduate students to co-develop a ranging Android App.  A patent pre-disclosure on the research enabling this app is co-authored by one of the REU students.  

The I/UCRC award had a leveraging effect across several research fronts.  During Phase 1, our I/UCRC program established intellectual property in several related areas involving signal processing.  Faculty affiliated with this ASU site, have developed intellectual property in digital signal processing and sensor systems. In all, nine patent pre-disclosures were filed and two US patents were established by the PI and his colleagues.    

Center projects have been established in several challenging research areas that involve signal processing and sensor systems.  These activities included work in sustainability, health and wellness, and defense and security.   Collaborative research in radar resulted in IP, publications and monographs in MIMO radar, exploitation of video, and sparse representations.  Work in architectures resulted in design tools for low power implementation of speech and audio processing functions.  Studies in embedded systems resulted in design of efficient machine learning algorithms for managing sensor data in Internet of Things (IoT) applications. Experimental investigation on mobile devices resulted in research products in motion and gesture estimation.  Research in imaging for flow sensors addressed medical applications including aneurysm  prediction.  Sustainability endeavors of the center include a project on embedding multiple sensors in solar panels and monitoring utility-scale photovoltaic arrays.

The ASU I/UCRC site also established international research partnerships with signed agreements with Imperial College (IC) funded by British Council,  University of Cyprus (UCY) funded by the Cyprus Promotion foundation (prime EU), and Tecnológico de Monterrey (ITESM) funded by NSF. Papers were co-authored with IC on sensor array localization, publications were co-authored with UCy on speech detection, and research was initiated with ITESM on communication aspects of sensors.

The ASU I/UCRC established several important research facilities including an LTE system installed  by Sprint,  a dedicated 18kW solar monitoring facility at the ASU research park, and networking sensing and computing facilities in the sensor lab.  The center also established award winning signal processing simulation apps that are disseminated freely on iT...

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