IOANNIS D. SCHIZAS. Arlington,Texas Assistant Professor September 2011-August 2017 Electrical Engineering

Transcription

1 IOANNIS D SCHIZAS University of Texas at Arlington Dept of Electrical Engineering 416 Yates Street Nedderman Hall Room 534 Arlington, TX, Tel: (Office) Fax: schizas@utaedu RESEARCH INTERESTS My general interests and expertise are in the areas of statistical signal processing, communications, and wireless sensor networks My latest research efforts focus on designing information distributed processing techniques for handling and analyzing large amounts of spatially scattered data Other research activities involve dimensionality reduction, quantization and reconstruction APPOINTMENTS University of Texas Associate Professor Electrical Engineering Arlington,Texas September 2017-Present EDUCATION University of Texas Arlington,Texas Assistant Professor September 2011-August 2017 Electrical Engineering University of Minnesota Twin Cities, Minnesota PhD in Electrical and Computer Engineering July 2011 Thesis: Exploiting Sparsity for Dimensionality Reduction Advisor: Prof Georgios B Giannakis University of Minnesota Twin Cities, Minnesota MSc in Electrical and Computer Engineering June 2007 Thesis: Channel-Aware Distributed Estimation and Dimensionality Reduction using Wireless Sensor Networks Advisor: Prof Georgios B Giannakis University of Patras Patras, Greece 5-year Diploma in Computer Engineering and Informatics July 2004 Thesis: Channel Estimation in MIMO-OFDM Communication Systems Advisor: Prof Constantinos Berberidis EMPLOYMENT HISTORY University of Minnesota Twin Cities, Minnesota Research and Teaching Assistant August 2004 July 2011 Signal Proc in Networking & Com (SPINCOM) group

2 Ioannis D Schizas 2 FUNDED PROJECTS PUBLICATIONS A Framework for Exploring Data in Heterogeneous Sensor Networks,National Science Foundation, 07/ /2018, $ 150,000 Sole PI A Distributed Dynamic Data Driven Applications System (DDDAS) for Multi- Threat Tracking, Air Force Office Scientific Research, 02/ /2017, $ 215,000 PI Distributed Informative Sensor Selection via Sparse Covariance Factorization, National Science Foundation, 09/ /2015, $ 205,662 Sole PI Energy-Efficient Sensor Networks via Distributed Active Sensor Selection, Research Enhancement Program of Univ of Texas-Arlington, 05/ /2013, $ 10,000 without overhead Sole PI Book Chapters B1 G B Giannakis, Q Ling, G Mateos, I D Schizas, and H Zhu, Decentralized Learning for Wireless Communications and Networking, in Splitting Methods in Communication and Imaging, Science and Engineering, R Glowinski, S Osher, and W Yin, Editors, New York, Springer, 2015 B2 A Ribeiro, I D Schizas, J-J Xiao, G B Giannakis, and Z-Q Luo Distributed Estimation Under Bandwidth and Energy Constraints, in Wireless Sensor Networks: Signal Processing and Communications Perspectives (A Swami, Q Zhao, Y Hong, and L Tong, eds), Wiley, February 2007 B3 I D Schizas, A Ribeiro, and G B Giannakis, Dimensionality Reduction, Compression and Quantization for Distributed Estimation with Wireless Sensor Networks, in Wireless Communications (P Agrawal, D M Andrews, P J Fleming, G Yin, and L Zhang, eds), IMA Volumes in Mathematics and its Applications, vol 143, pp , Springer, New York, 2006 Journal Papers (Published) J1 K T Shahid, A Malhotra, I D Schizas and S Tjuatja, Unsupervised Kernel Correlations-Based Hyperspectral Clustering with Missing Pixels, Journal On Selected Topics In Applied Earth Observations And Remote Sensing, to appear 2018 J2 K Kang, V Maroulas, I D Schizas and F Bao, Improved Distributed Particle Filters for Tracking in a Wireless Sensor Network, Elsevier Computational Statistics and Data Analysis, vol 117, pp , Jan 2018 J3 S Abhinav, I D Schizas and A Davoudi, Optimization-based AC Microgrid Synchronization, IEEE Transactions on Industrial Informatics, to appear 2017 DOI:101109/TII J4 J Chen, A Malhotra, and I D Schizas, Data-Driven Sensor Clustering and Filtering for Communication Efficient Field Reconstruction, Elsevier Signal Processing, vol 133, pp , April 2017 DOI: /jsigpro

3 Ioannis D Schizas 3 J5 S Abhinav, I D Schizas, F L Lewis and A Davoudi, Distributed Noiseresilient Networked Synchrony of Active Distribution Systems, IEEE PES Transactions on Smart Grid, to appear 2017 DOI: /TSG J6 G Ren, V Maroulas and I D Schizas, Exploiting Sensor Mobility and Sparse Covariances for Distributed Tracking of Multiple Targets, EURASIP Journal on Advances in Signal Processing, vol 53, May 2016 DOI: /s y J7 A Malhotra, G Binetti, A Davoudi and I D Schizas, Distributed Power Profile Tracking for Heterogeneous Charging of Electric Vehicles, IEEE PES Transactions on Smart Grid, vol 8, no 5, pp , Sep 2017 DOI: /TSG J8 J Chen and I D Schizas, Distributed Information-Based Clustering of Heterogeneous Sensor Data, Elsevier Signal Processing, vol 126, pp 35-51, September 2016 DOI:101016/jsigpro J9 G Ren, V Maroulas and I D Schizas, Decentralized Sparsity-Based Multi- Source Association and State Tracking, Elsevier Signal Processing, vol 120, pp , March 2016 DOI: /jsigpro J10 J Chen and I D Schizas, Online Distributed Sparsity-Aware Canonical Correlation Analysis, IEEE Transactions on Signal Processing, vol 64, no 3, pp , March 2016 DOI: /TSP J11 I D Schizas and A Aduroja, A Distributed Framework for Dimensionality Reduction and Denoising, IEEE Transactions on Signal Processing, vol 63, no 23, pp , Dec 2015 DOI:101109/TSP J12 I D Schizas and V Maroulas, Dynamic Data Driven Sensor Network Selection and Tracking, Elsevier Procedia Computer Science, vol 51, pp , 2015 J13 G Ren, V Maroulas and I D Schizas, Distributed Spatio-Temporal Association and Tracking of Multiple Targets Using Multiple Sensors, IEEE Transactions on Aerospace and Electronic Systems, vol 51, no 4, pp , 2015 DOI: /TAES J14 I D Schizas, Distributed Informative-Sensor Identification using Sparsity- Aware Matrix Decomposition, IEEE Transactions on Signal Processing, vol 61, no 18, pp , Sep 2013 J15 I D Schizas and G B Giannakis, Covariance Eigenvector Sparsity for Compression and Denoising, IEEE Transactions on Signal Processing, vol 60, no 5, pp , May 2012 J16 A Ribeiro, I D Schizas, S I Roumeliotis and G B Giannakis, Kalman Filtering in Wireless Sensor Networks: Incorporating communication cost in state estimation problems, IEEE Control Systems Magazine, vol 30, pp 66-86, April 2010 J17 G Mateos, I D Schizas and G B Giannakis, Performance Analysis of the Consensus-Based Distributed LMS Algorithm, EURASIP Journal on Advances in Sig Proc, Dec 2009 J18 G Mateos, I D Schizas and G B Giannakis, Distributed Recursive Least- Squares for Consensus-Based In-Network Adaptive Estimation, IEEE Transactions on Sig Proc, vol 57, no 11, pp , November 2009

4 Ioannis D Schizas 4 J19 H Zhu, I D Schizas and G B Giannakis, Power-Efficient Dimensionality Reduction for Distributed Channel-Aware Kalman Tracking Using Wireless Sensor Networks, IEEE Transactions on Sig Proc, vol 57, no 8, pp , August 2009 J20 I D Schizas, G Mateos and G B Giannakis, Distributed LMS for Consensus- Based In-Network Adaptive Processing, IEEE Transactions on Sig Proc, vol 57, no 6, pp , June 2009 J21 I D Schizas, G B Giannakis and N Jindal, Distortion-Rate Bounds for Distributed Estimation with Wireless Sensor Networks, EURASIP Journal on Adv in Sig Proc, May 2008 J22 I D Schizas, G B Giannakis, S I Roumeliotis and A Ribeiro, Consensus in Ad Hoc WSNs with Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals, IEEE Transactions on Sig Proc, vol 56, no 4, pp , April 2008 J23 I D Schizas, A Ribeiro and G B Giannakis, Consensus in Ad Hoc WSNs with Noisy Links - Part I: Distributed Estimation of Deterministic Signals, IEEE Transactions on Sig Proc, vol 56, no 1, pp , Jan 2008 J24 I D Schizas, G B Giannakis and Z-Q Luo, Distributed Estimation Using Reduced-Dimensionality Sensor Observations, IEEE Transactions on Sig Proc, vol 55, no 8, pp , Aug 2007 Journal Papers (submitted/revised) J25 J Chen and I D Schizas, Real-Time Clustering of Multimodal Data, IEEE Transactions on Signal Processing, submitted Feb 2018 J26 A Malhotra, I D Schizas and V Metsis, Correlation Analysis-Based Joint Segmentation and Classification of Human Activity, IEEE Sensors, revised June 2018 Conference Papers (Peer-Reviewed) C1 K Shahid, and I D Schizas, Unsupervised Hyperspectral Unmixing via Kernelized Correlations, Proc of the IEEE Intl Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018 C2 G Ren and I D Schizas, Multi-Object Detection and Tracking via Kernel Covariance Factorization in Thermal Video, Proc of the Asilomar Conf on Signals, Systems and Comp, Pacific Grove, CA, Oct 29- Nov 1, 2017 C3 J Chen and I D Schizas, Distributed Efficient Multimodal Data Clustering, Proc of the 25th European Signal Processing Conference, Kos, Greece, Aug 28-Sep 2, 2017 C4 T Ho, I D Schizas, K R Rao and M Budagavi, 360-degree Video Stitching for Dual-fisheye Lens Cameras Based On Rigid Moving Least Squares, Proc of the IEEE Intl Conf on Image Processing, Beijing, China, Sept 17-20, 2017 C5 A Malhotra, K Shahid, I D Schizas and S Tjuatja, Fault Tolerant Unsupervised Kernel-based Information Clustering in Hyperspectral Images, Proc of the IEEE Intl Geoscience and Remote Sensing Symposium, Forth Worth, TX, July 23-28, 2017

5 Ioannis D Schizas 5 C6 A Malhotra, N Erdogan, I D Schizas, A Davoudi and G Binetti, Impact of Charging Interruptions in Coordinated Electric Vehicle Charging, Proc of the IEEE Global Conference on Signal and Information Processing, Washington, DC, Dec 2016 (invited) C7 K Kang, V Maroulas, I D Schizas and E Blasch, An Enhanced Sequential Monte Carlo Filter and its Application to Multi-Target Tracking, Proc of the Intl Conf on Information Fusion, Heidelberg, Germany, July 5-8, 2016 C8 G Ren, I D Schizas and V Maroulas, Sparsity Based Multi-Target Tracking Using Mobile Sensors, IEEE Intl Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016 C9 J Chen, A Malhotra and I D Schizas, Information-Based Clustering and Filtering for Field Reconstruction, Proc of the Asilomar Conf on Signals, Systems and Comp, Pacific Grove, CA, Nov 8-11, 2015 C10 S Abhinav, I D Schizas and A Davoudi, Noise-Resilient Synchrony of AC Microgrids, International Symposium on Resilient Control Systems, Philadelphia, PA, pp 1 6, Aug 2015 C11 V Metsis, I D Schizas and GMarshall, Real-time Subspace Denoising of Polysomnographic Data, Proc of 8th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 15), Corfu, Greece, July 2015 DOI: C12 V Maroulas, K Kang, I D Schizas and M W Berry, A Learning Drift Homotopy Particle Filter, Proc of the Intl Conf on Information Fusion, Washington, DC, pp , July 6-9, 2015 C13 J Chen and I D Schizas, Regularized Canonical Correlations for Sensor Data Information Clustering, Proc of IEEE Intl Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pp , 2015 C14 G Ren, I D Schizas and V Maroulas, Distributed Spatio-Temporal Multi- Target Association and Tracking, Proc of IEEE Intl Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pp , 2015 C15 G Ren and I D Schizas, Joint Sensors-Sources Association and Tracking under Power Constraints, Proc of the IEEE Global Conference on Signal and Information Processing, Atlanta, GA, Dec 3-5, pp , 2014 C16 J Chen and I D Schizas, Adaptive Regularized Canonical Correlations in Clustering Sensor Data, Proc of the Asilomar Conf on Signals, Systems and Comp, Pacific Grove, CA, pp , Nov 2-5, 2014 C17 K Kang, V Maroulas and I D Schizas, Drift Homotopy Particle Filter for non-gaussian Multi-target Tracking, Proc of the Intl Conference on Information Fusion, Salamanca, Spain, pp 1 7, July 7-10, 2014 C18 G Ren, I D Schizas and V Maroulas, Joint Sensors-Sources Association and Tracking, Proc of the IEEE Sensor Array and Multichannel Signal Processing Workshop, A Coruna, Spain, pp , June 22-25, 2014 C19 G Ren and I D Schizas, Distributed Sensor-Informative Tracking of Targets, Proc of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Saint Martin, Dec 15-18, 2013

6 Ioannis D Schizas 6 C20 I D Schizas, Distributed Data Cleansing via a Low-Rank Decomposition, Proc of the IEEE Global Conference on Signal and Information Processing, Austin, TX, pp Dec 3-5, 2013 C21 J Chen and I D Schizas, Distributed Sparse Canonical Correlation Analysis in Clustering Sensor Data, Proc of the Asilomar Conf on Signals, Systems and Comp, Pacific Grove, CA, pp , Nov 3-6, 2013 C22 I D Schizas, Adaptive Distributed Sparsity-Aware Matrix Decomposition, Proc of IEEE Intl Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, CAN, May 26-31, pp , 2013 C23 A Aduroja, I D Schizas and V Maroulas, Distributed Principal Component Analysis in Sensor Networks, Proc of IEEE Intl Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, CAN, May 26-31, pp , 2013 C24 I D Schizas, Distributed Informative-Sensor Determination via Sparsity Cognizant Matrix Decomposition, Proc of IEEE Workshop on Statistical Signal Processing, Ann Arbor, MI, Aug 5-8, pp 41 44, 2012 C25 I D Schizas and G B Giannakis, Eigenspace sparsity for Compression and Denoising, Proc of Intl Conf on Acoustics, Speech and Signal Processing, Prague, Czech Rep, May 22-27, 2011 C26 I D Schizas, G B Giannakis and N D Sidiropoulos, Exploiting Covariancedomain Sparsity for Dimensionality Reduction, Proc of 3rd Intl Workshop on Comp Adv in Multi-Sensor Adapt Proc, Aruba Island, Dec 13-16, 2009 C27 G Mateos, I D Schizas and G B Giannakis, Closed-form MSE perfomance of the distributed LMS algorithm, Proc of 13th DSP Workshop, Marco Island, FL, January 4-7, 2009 C28 I D Schizas, G Mateos and G B Giannakis, Stability analysis of the consensusbased distributed LMS algorithm, Proc of Intl Conf on Acoustics, Speech and Sig Proc, Las Vegas, NV, March 30-April 4, 2008 C29 G Mateos, I D Schizas and G B Giannakis, Distributed Least-Mean Square Algorithm Using Wireless Ad Hoc Networks, Proc of 45th Allerton Conf, Univ of Illinois at U-C, Monticello, IL, Sept 26-28, 2007 C30 I D Schizas, G Mateos and G B Giannakis, Distributed Recursive Least- Squares Using Wireless Ad Hoc Sensor Networks, Proc of 41st Asilomar Conf on Sig, Systems, and Comp, Pacific Grove, CA, Nov 4-7, 2007 C31 I D Schizas, G B Giannakis, S Roumeliotis and A Ribeiro, Anytime Optimal Distributed Kalman Filtering and Smoothing, in Proc of the 14th Workshop on Statistical Signal Processing, Madison, WI, August 26-29, 2007 C32 H Zhu, I D Schizas and G B Giannakis, Power-Efficient Dimensionality Reduction for Distributed Channel-Aware Kalman Tracking Using Wireless Sensor Networks, Proc of the 14th Workshop on Statistical Signal Processing, Madison, WI, August 26-29, 2007 C33 I D Schizas, G B Giannakis, and A Ribeiro, Distributed MAP and LMMSE Estimation of Random Signals Using Ad Hoc Wireless Sensor Networks with Noisy Links, in Proc IEEE Workshop on Signal Process Advances in Wireless Commun, Helsinki, Finland, June 17-20, 2007

7 Ioannis D Schizas 7 C34 I D Schizas, A Ribeiro, and G B Giannakis, Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links, in Proc of Intl Conf on Acoustics, Speech and Signal Processing, Honolulu, HI, April 15-20, 2007 C35 I D Schizas, and G B Giannakis, Consensus-Based Distributed Estimation of Random Signals with Wireless Sensor Networks, in Proc of 40th Asilomar Conf on Sig, Systems, and Comp, Pacific Grove, CA, Oct 29-Nov 1, 2006 C36 I D Schizas, A Ribeiro, and G B Giannakis, Distributed Estimation with Ad-Hoc Wireless Sensor Networks, in Proc of XIV European Signal Processing Conference, Florence, Italy, Sep 4-8, 2006 C37 I D Schizas, G B Giannakis, and Z-Q Luo, Optimal Dimensionality Reduction for Multi-Sensor Fusion in the Presence of Fading and Noise, in Proc of Intl Conf on Acoustics, Speech and Signal Processing, Toulouse, France, May 15-19, 2006 C38 I D Schizas, G B Giannakis, and Z-Q Luo, Distributed Estimation Using Reduced Dimensionality Sensor Observations, in Proc of 39th Asilomar Conf on Sig, Systems, and Comp, Pacific Grove, CA, Oct 30-Nov 2, 2005 C39 I D Schizas, G B Giannakis, and N Jindal, Distortion-Rate Analysis for Distributed Estimation with Wireless Sensor Networks, in Proc of 43rd Allerton Conference, Monticello, IL, Sept 28-30, 2005 Abstracts A1 I D Schizas, Distributed Threat Localization via Sparsity Cognizant Matrix Decomposition, Quantitative Methods in Defense and National Security (QMDNS), Fairfax, VA, Apr 30-May 1, 2012 A2 Guohua Ren and I D Schizas, Distributed Topology-Aware Tracking of Multiple Targets, Workshop on Signal Processing Advances in Sensor Networks, Cyber-Physical Systems (CPS), Philadelphia, PA, Apr 8-11, 2013 Citation Metrics According to my Google scholar profile, as of May 2018, the citations, h-index, and i10-index are 1934, 15, and 23, respectively TEACHING EXPERIENCE Instructor for EE 5368, Wireless Communications, University of Texas at Arlington, Fall 2012 Instructor for EE 5362, Digital Communications, University of Texas at Arlington, Spring 2012, Spring 2013, Fall 2013, Fall 2014, Fall 2015, Spring 2016, Spring 2017, Fall 2017 Instructor for EE 5369, Estimation Theory, University of Texas at Arlington, Fall 2011 Instructor for EE 5369, Distributed Estimation, University of Texas at Arlington, Spring 2014, Spring 2015, Spring 2017 Instructor for EE 3330, Probability and Random Signals, University of Texas at Arlington, Summer 2017, Summer 2018

8 Ioannis D Schizas 8 Instructor for EE 3140, Junior Design Lab, UTA, Spring 2018 STUDENTS SUPERVISED Kazi Shahid (PhD, started Aug 2015, passed diagnostic exam) Akshay Malhotra (PhD, started Aug 2016, passed diagnostic exam) GRADUATED STUDENTS Guohua Ren (PhD, Multi-Objects Detection and Tracking in Sensor Networks and Video Sequences, May 2017; Currently with Bosch) Jia Chen (PhD, Regularized Canonical Correlations in Clustering Sensor Data, May 2016) Abiodun Aduroja (MSc, Distributed Data Dimensionality Reduction and Denoising, Fall 2013; Currently with Spirrent Communications) Akshay Malhotra (MSc, Distributed Algorithms for Electric Vehicle Charging, Fall 2015; Currently with Cirrus Logic) Nanruo Chen (MSc, Decentralized Sparse Principal Component Analysis for Dimensionality Reduction, May 2016) INVITED TALKS/SEMINARS Distributed Information Discovery in Heterogeneous Data, Center for Intelligent Systems and Machine Learning (CISML), University of Tennessee at Knoxville, November 2015 Distributed Data Clustering and Cleansing in Sensor Networks, Electrical and Computer Engineering, University of Texas at San Antonio, March 2015 Distributed Sensor Data Clustering and Cleansing, Electrical Engineering, University of North Texas, February 2015 Distributed Informative-Sensor Identification and Tracking via Sparsity-Aware Covariance Factorization, IEEE Antennas and Propagation Society Technical Seminar, Fort Worth Chapter, Nov 2013 Distributed Informative-Sensor Identification via Sparsity-Aware Covariance Decomposition, Electrical Engineering, University of Texas at Dallas, March 2013 Distributed Determination of Informative Network Nodes via Sparsity-Cognizant Covariance Decomposition, Mathematics, University of Tennessee at Knoxville, April 2013 PROFESSIONAL AFFILIATIONS AND SERVICES Member of the IEEE Associate Editor for IEEE Signal Processing Letters 2017-Now Reviewer for the IEEE Trans on Information Theory, IEEE Trans on Communications, IEEE Trans on Signal Processing, IEEE Trans on Wireless Communications, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Image Processing, IEEE Communications Letters, IEEE Signal Processing Letters,

9 Ioannis D Schizas 9 IEEE Signal Processing Magazine, IEEE Journal Of Selected Topics of Signal Processing, IEEE Transactions on Robotics, IEEE Transactions on Automatic Control, Elsevier Signal Processing, EURASIP Journal on Advances in Signal Processing, EURASIP Journal on Wireless Communications and Networking, Elsevier Signal Processing, Journal of the Franklin Institute Regular reviewer of IEEE conference papers NSF Panelist for CISE and ECCS programs during years 2012, 2013, 2014, 2016 and 2017 Session chair for 2012 IEEE Workshop on Statistical Signal Processing Technical committee member in 2013 IEEE Global Conference on Signal and Information Processing Technical committee member in 2016, 2017 IEEE Global Conference on Signal and Information Processing Session organizer and chair in The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Session organizer and chair in the The Eighth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2014) Symposium Chair and TPC Member, Signal Processing for Communication in the International Conference on Computing, Networking and Communications (ICNC 2015) Session Organizer and Technical committee member in 2015 International Conference on Information Fusion Session Organizer and Technical committee member in 2016 International Conference on Information Fusion Local Arrangements Chair of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017) PROFESSIONAL DEVELOPMENT Participant, NSF Day at Texas A & M University, Commerce, Texas, Nov 2011 Participant, NIMBioS Investigative Workshop, Mathematical Modeling of Intracellular Movements, Oct 24-26, 2011, University of Tennessee at Knoxville Participant, NSF CAREER Workshop, University of Texas at Arlington, May 2013 OUTREACH ACTIVITIES Judge for the Fort Worth Regional Science and Engineering Fair (Middle School and High School Projects), 2014 DEPARTMENTAL SERVICE AT UTA Member of Committee for selecting recipient of the Undergraduate Research Opportunity Program (UROP) scholarships, 2012 Member of committee for EE PhD advanced classes Examiner in fields of Signal Processing and Digital Communications for PhD Diagnostic Exam Member of graduate student committees for more than 50 MSc and PhD defenses EE Seminar organizer for Fall 2017