Andreas Spanias
Professor,
School of Electrical, Computer and Energy Engineering
Other ASU affiliations
Senior Global Futures Scientist,
Global Futures Scientists and Scholars
-
Phone: 480-965-1837
-
-
GWC 411 F Tempe, AZ 85287-5706
-
Mail code: 5706Campus: Tempe
-
Long Bio
Andreas Spanias (FIEEE) is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the director of the Sensor Signal and Information Processing (SenSIP) center and the founder of the SenSIP industry consortium (also an NSF I/UCRC site). His research interests are in the areas of adaptive signal processing, speech processing, machine learning, quantum AI simulations and sensor systems. He and his student team developed the computer simulation software Java-DSP and its award-winning iPhone/iPad and Android versions. He is author of two textbooks: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.). He contributed to more than 300 papers, 10 monographs, 24 full patents and 10 provisional patents and several pre-disclosures. He served as Associate Editor of the IEEE Transactions on Signal Processing and as General Co-chair of IEEE ICASSP-99. He also served as the IEEE Signal Processing Vice-President for Conferences. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and was elected Fellow of the IEEE in 2003. He served as Distinguished Lecturer for the IEEE Signal processing society in 2004. He is a series editor for the Morgan and Claypool lecture series (now under Springer) on algorithms and software. He is heading four NSF workforce development programs on machine learning and quantum AI. He received recently the 2018 IEEE Phoenix Chapter award with citation: “For significant innovations and patents in signal processing for sensor systems.” He also received the 2018 IEEE Region 6 Educator Award (across 12 states) with citation: “For outstanding research and education contributions in signal processing.” He was elected recently as Senior Member of the National Academy of Inventors (NAI).
Education
- Ph.D. Electrical Engineering, West Virginia University 1988
- M.S. Electrical Engineering, West Virginia University 1985
- B.S. Electrical Engineering, West Virginia University 1983
- MIT Certificate on Leadership Skills for Engineering and Science Faculty, Massachusetts Institute of Technology, Short Programs, Cambridge, June 2017.
- Harvard University Certificate on Data Visualization, Continuing Education, Cambridge, ,June 2018.
- Trained in RACAL Wireless Military Communications Systems in National Guard (1979-81).
Research Website URL
Google Scholar URL
Research Interests
Digital Signal Processing, Speech Processing, Sensor Networks, Quantum AI Simulations, Machine Learning.
Publications
Books
- S. Rao, S. Katoch, V. Narayanaswamy, G. Muniraju, C. Tepedelenlioglu, A. Spanias, P. Turaga, R. Ayyanar, and D.Srinivasan, "Machine Learning for Solar Array Monitoring, Optimization, and Control," Synthesis Lectures on Power Electronics, Morgan & Claypool, Ed. J. Hudgins, Book, 91 pages, ISBN: 9781681739076, Aug. 2020.
- U. Shanthamallu and A. Spanias, Machine and Deep Learning Algorithms and Applications, Morgan & Claypool Publishers (now Springer), Ed. J. Moura, 123 pages, ISBN 9781636392653, December 2021.
- Kristen Jaskie and Andreas Spanias, Positive Unlabeled Learning, Morgan & Claypool Publishers (now Springer), AI and Machine Learning Eds. R. Brachman and (Cornell) and F, Rossi (IBM Research AI), Book, 152 pages, ISBN 9781636393087, Spring 2022.
- Andreas Spanias, Ted Painter, Venkatraman Atti, Audio Signal Processing and Coding, Hardcover 544 pages, ISBN: 0-471-79147-4, Wiley, Textbook with theory, problems, and MATLAB computer exercises. March 2007.
- A. Spanias, Digital Signal Processing; An Interactive Approach 2nd Ed, 399 pages, Textbook with JAVA exercises, ISBN: 978-1-4675-9892-7,Lulu Press On-demand Publishers http://www.lulu.com/spotlight/jdsp, Morrisville, NC, May 2014.
- J. Foutz, A. Spanias, M. Banavar, Narrowband Direction of Arrival Estimation for Antenna Arrays, Synthesis Lectures on Antennas, Morgan & Claypool Publishers, Research Monograph, ISBN-13: 978-1598296501, August 2008
- Karthikeyan N. Ramamurthy, Andreas S. Spanias, MATLAB® Software for the Code Excited Linear Prediction Algorithm: The Federal Standard-1016, Morgan and Claypool Publishers, Synthesis Lectures on Algorithms and Software in Engineering, Vol. 2, No. 1, Pages 1-109: 1-109, ISBN 1608453847, Jan 2010.
- J. Thiagarajan, A. Spanias, Analysis of the MPEG-1 Layer III (MP3) Algorithm Using MATLAB, Morgan and Claypool Publishers, Synthesis Lectures on Algorithms and Software in Engineering, Vol. 3, No. 3, Pages 1-129, ISBN-10: 1608458016, ISBN-13: 978-1608458011, Nov. 2011.
- H. Braun, C. Tepedelenlioglu, A. Spanias, M. Banavar, et al., Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization, Power Electronics, Morgan & Claypool, 111 pages, ISBN 978-1608459483, Sep. 2012.
- An Introduction to Kalman Filtering with MATLAB Examples, N. Kovvali, M.Banavar, A. Spanias Synthesis Lectures on Signal Processing, , Morgan & Claypool Publishers, Ed. J. Mura, v. 6, pp. 1-81, ISBN 13: 9781627051392, September 2013.
- J. Thiagarajan, K. Ramamurthy, P. Turaga, A. Spanias, Image Understanding Using Sparse Representations,, Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN 978-1627053594, 118 pages, Ed. Al Bovik, April 2014.
- Steve Miller, Xue Zhang, Andreas Spanias, Multipath Effects in GPS Receivers, Synthesis Lectures on Communications, Morgan & Claypool Publishers, ISBN 978-1627059312, 70 pages, Ed. William Tranter, P. 1-70, Dec. 2015.
- Xue (Sophia) Zhang, Cihan Tepedelenlioglu, Mahesh Banavar, Andreas Spanias, Node Localization in Wireless Sensor Networks, Synthesis Lectures on Communications, Morgan & Claypool Publishers, ISBN: 9781627054850, Ed. William Tranter, 68 Pages, December 2016.
- S. Zhang, C. Tepedelenlioglu, A. Spanias, M. Banavar, Distributed Network Estimation using Consensus Methods, Synthesis Lectures on Communications, Morgan & Claypool Pub., ISBN 9781681732909, Ed. W. Tranter, Feb 2018.
- H. Braun, P. Turaga, A. Spanias, S. Jayasuriya, Reconstruction Free Compressive Vision, Morgan & Claypool, ISBN 978-1681735566, Ed. J. Mura, April 2019.
- S. Katoch, O. Iqbal, A. Spanias and S. Jayasuriya, "Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning," IEEE Access, vol. 11, pp. 41995-42011, 2023
- A. Sharma, G. Uehara and A. Spanias, “Quantum Linear Prediction For System Identification And Spectral Estimation Applications,” IEEE Asilomar Conf. On Circuits, Systems and Computers, Monterey, Oct. 2023.
- Lavanya Shri S A, Bhavikkumar Patel, Mahesh Banavar, Mohil Malu, Cihan Tepedelenlioglu, Andreas Spanias, Stephanie Schuckers, “Analysis of a modified SEIRS compartmental model for infectious diseases,” Asilomar Conf. On Circuits, Systems and Computers, Monterey, Oct. 2023.
- Chao. Wang, Aradhita Sharma, Glen Uehara, Jean Larson, Wendy Barnard, Andreas Spanias, " "Introducing Quantum Computing in a Sophomore Signals and Systems Course,” IEEE FIE 2023, College Station, Oct. 2023.
- Jaskie, Kristen, Nolan Vaughn, Vivek Narayanaswamy, Sahba Zaare, Joseph Marvin, and Andreas Spanias. "An adaptive asymmetric loss function for positive unlabeled learning." In Automatic Target Recognition XXXIII, vol. 12521, pp. 198-205. SPIE, June 2023. Best Paper Award
- Rao, Sunil, Deep Pujara, Andreas Spanias, Cihan Tepedelenlioglu, and Devarajan Srinivasan. "Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks." In 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS), pp. 1-5. IEEE, 2023.
- Deep Pujara, David Ramirez, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias, "Design of a New Photovoltaic Intelligent Monitoring and Control Device," Proc. 14th IEEE IISA 2023, Volos, July 2023.
- M. Malu, G. Pedrielli, G. Dasarathy, and A. Spanias, “Class GP: Gaussian process modeling for heterogeneous functions” in Learning and Intelligent Optimization Conference: 17th International Conference, LION 17, Nice, France, June 2023. Springer International Publishing.
- Leslie Miller, Glen Uehara, "Andreas Spanias"Quantum Image Fusion Methods for Remote Sensing," 2024 IEEE Aerospace Conference, Yellowstone, Montana, March 2024.
- A. Sharma, L. Miller, G. Uehara, V. Narayananswami, A. Spanias, “Signal Analysis-Synthesis Using The Quantum Fourier Transform, IEEE ICASSP 2023, Rhodes, June 2023. Top 3% Rating
- L. Miller, G. Uehara, A. Sharma, A. Spanias, “Quantum Machine Learning for Optical and SAR Classification," IEEE DSP Conference, Rhodes, June 2023
- M. Yarter, G. Uehara, A. Spanias, “EDGE Cloud Voice Recognition Using Quantum Neural Networks,” IEEE MWCAS 2023, Accepted, August 2023
- G. Uehara, V. Narayanaswamy, C. Tepedelenlioglu, A. Spanias, “Quantum Machine Learning for Photovoltaic Topology Optimization,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- M. Yarter, G. Uehara, A. Spanias, “Implementation and Analysis of Quantum Homomorphic Encryption,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- Glen Uehara, Jean Larson, Wendy Barnard, Michael Esposito, Filippo Posta, Maxwell Yarter, Aradhita Sharma, Niki Kyriacou, Matthew Dobson, Andreas Spanias, "Undergraduate Research and Education in Quantum Machine Learning,” IEEE FIE 2022, Upsala, Oct. 2022
- A. Spanias, E. Forzani, G. Raupp, W. Barnard, M. O’Donnell, J. Larson, N. O’Connor, N. Dunne, S. Daniels, S. Little, “The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- M. Esposito, G. Uehara, A. Spanias, Quantum Machine Learning for Audio Classification with Applications to Healthcare, 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- Thiagarajan, J.J., Narayanaswamy, V., Rajan, D.,Liang, J., Chaudhri, A., Spanias, A., (2021). Designing Counterfactual Generators using Deep Model Inversion. Neurips 2021.
- Thopalli, Kowshik, Sameeksha Katoch, Jayaraman J. Thiagarajan, Pavan K. Turaga, and Andreas Spanias. "Multi-Domain Ensembles for Domain Generalization." In NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications. 2021.
- Shanthamallu, U. S., Thiagarajan, J. J., & Spanias, A. (2021, May). Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 11, pp. 9524-9532).
- Thiagarajan, Jayaraman J., Vivek Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, and Andreas Spanias. "Accurate and Robust Feature Importance Estimation under Distribution Shifts." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 9, pp. 7891-7898. 2021.
Research Activity
- A. Sharma, G. Uehara and A. Spanias, “Quantum Linear Prediction For System Identification And Spectral Estimation Applications,” Accepted Asilomar Conf. On Circuits, Systems and Computers, Monterey, Oct. 2023.
- Lavanya Shri S A, Bhavikkumar Patel, Mahesh Banavar, Mohil Malu, Cihan Tepedelenlioglu, Andreas Spanias, Stephanie Schuckers, “Analysis of a modified SEIRS compartmental model for infectious diseases,” Accepted Asilomar Conf. On Circuits, Systems and Computers, Monterey, Oct. 2023.
- Chao. Wang, Aradhita Sharma, Glen Uehara, Jean Larson, Wendy Barnard, Andreas Spanias, " "Introducing Quantum Computing in a Sophomore Signals and Systems Course,” IEEE FIE 2023, College Station, Oct. 2023.
- Jaskie, Kristen, Nolan Vaughn, Vivek Narayanaswamy, Sahba Zaare, Joseph Marvin, and Andreas Spanias. "An adaptive asymmetric loss function for positive unlabeled learning." In Automatic Target Recognition XXXIII, vol. 12521, pp. 198-205. SPIE, June 2023. Best Paper Award
- Rao, Sunil, Deep Pujara, Andreas Spanias, Cihan Tepedelenlioglu, and Devarajan Srinivasan. "Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks." In 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS), pp. 1-5. IEEE, 2023.
- Deep Pujara, David Ramirez, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias, "Design of a New Photovoltaic Intelligent Monitoring and Control Device," Proc. 14th IEEE IISA 2023, Volos, July 2023.
- M. Malu, G. Pedrielli, G. Dasarathy, and A. Spanias, “Class GP: Gaussian process modeling for heterogeneous functions” in Learning and Intelligent Optimization Conference: 17th International Conference, LION 17, Nice, France, June 2023. Springer International Publishing
- Leslie Miller, Glen Uehara, "Andreas Spanias"Quantum Image Fusion Methods for Remote Sensing," Submitted, 2024 IEEE Aerospace Conference, Yellowstone, Montana March 2024
- A. Sharma, L. Miller, G. Uehara, V. Narayananswami, A. Spanias, “Signal Analysis-Synthesis Using The Quantum Fourier Transform, IEEE ICASSP 2023, Rhodes, June 2023.
- L. Miller, G. Uehara, A. Sharma, A. Spanias, “Quantum Machine Learning for Optical and SAR Classification," IEEE DSP Conference, Rhodes, June 2023
- M. Yarter, G. Uehara, A. Spanias, “EDGE Cloud Voice Recognition Using Quantum Neural Networks,” IEEE MWCAS 2023, Accepted, August 2023
- G. Uehara, V. Narayanaswamy, C. Tepedelenlioglu, A. Spanias, “Quantum Machine Learning for Photovoltaic Topology Optimization,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- M. Yarter, G. Uehara, A. Spanias, “Implementation and Analysis of Quantum Homomorphic Encryption,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- Glen Uehara, Jean Larson, Wendy Barnard, Michael Esposito, Filippo Posta, Maxwell Yarter, Aradhita Sharma,
-
Niki Kyriacou, Matthew Dobson, Andreas Spanias, "Undergraduate Research and Education in Quantum Machine Learning,” IEEE FIE 2022, Upsala, Oct. 2022
- A. Spanias, E. Forzani, G. Raupp, W. Barnard, M. O’Donnell, J. Larson, N. O’Connor, N. Dunne, S. Daniels, S. Little, “The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning,” 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- M. Esposito, G. Uehara, A. Spanias, Quantum Machine Learning for Audio Classification with Applications to Healthcare, 2022 IEEE 13th International Conference on Information, Intelligence, Systems & Applications (IISA), Hybrid Conference, July 2022.
- Thiagarajan, J.J., Narayanaswamy, V., Rajan, D.,Liang, J., Chaudhri, A., Spanias, A., (2021). Designing Counterfactual Generators using Deep Model Inversion. Neurips 2021
- Thopalli, Kowshik, Sameeksha Katoch, Jayaraman J. Thiagarajan, Pavan K. Turaga, and Andreas Spanias. "Multi-Domain Ensembles for Domain Generalization." In NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications. 2021.
- Shanthamallu, U. S., Thiagarajan, J. J., & Spanias, A. (2021, May). Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 11, pp. 9524-9532).
- Thiagarajan, Jayaraman J., Vivek Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, and Andreas Spanias. "Accurate and Robust Feature Importance Estimation under Distribution Shifts." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 9, pp. 7891-7898. 2021.
- Spanias,Andreas Savva*. I UCRC Phase II: ASU Research Site of the NSF Net-Centric and Cloud Software and Systems I UCRC. NSF-IIP(1/1/2016 - 12/31/2020).
- Spanias,Andreas Savva*, Turaga,Pavan Kumar, Turaga,Pavan Kumar. Collaborative Research: Integrated Development of Scalable Mobile Multidisciplinary Modules (SM3) for STEM Education. NSF-EHR-DUE(9/15/2015 - 8/31/2019).
- Spanias,Andreas Savva*. I UCRC: Workshops Promoting International USA-Mexico Collaborations in Sensors and Signal Processing. NSF-IIP(9/15/2015 - 8/31/2016).
- Spanias,Andreas Savva*, Berisha,Visar Shahin, Berisha,Visar Shahin, Liss,Julie M. YR 2: ASA Minority Fellowship - Steven Sandoval. ASA(9/1/2015 - 5/30/2016).
- Spanias,Andreas Savva*, Berisha,Visar Shahin, Liss,Julie M. YR 1: ASA Minority Fellowship - Steven Sandoval. ASA(9/1/2014 - 5/1/2015).
- Spanias,Andreas Savva*. IUCRC: Travel Supplement: NSF Net-centric and Cloud Software and Systems. UNT(8/4/2014 - 8/3/2015).
- Spanias,Andreas Savva*, Ayyanar,Raja, Banavar,Mahesh Krishna, Tepedelenlioglu,Cihan. GOALI: Intelligent Networked Solar Panel Array Management. NSF-ECCS(9/15/2013 - 8/31/2016).
- Tepedelenlioglu,Cihan*, Banavar,Mahesh Krishna, Spanias,Andreas Savva. Nonlinear Robust Distributed Consensus for Cyberphysical Systems. NSF-ECCS(9/1/2013 - 8/31/2016).
- Spanias,Andreas Savva*, Banavar,Mahesh Krishna, Tepedelenlioglu,Cihan. IUCRC: FRP: Sensor Fusion Research for Net-Centric Applications. NSF-ENG(7/1/2012 - 6/30/2015).
- Spanias,Andreas Savva*. SenSIP Member: Brainstorm Technology LLC. (6/3/2011 - 5/31/2012).
- Spanias, Andreas Savva*. REU: IUCRC CGI : SenSIP - A Research Site of the Net-Centric Software and Systems Center. NSF-IIP(5/3/2011 - 7/31/2015).
- Spanias,Andreas Savva*. SenSIP Member: Lockheed Martin. LOCKHEED MARTIN CORPORATION(12/15/2010 - 7/31/2012).
- Spanias,Andreas Savva*. Global Engagement Project: UCY KIOS Center for Intelligent Systems and Networks and the ASU SenSIP Center and Consortium. U of Cyprus(9/1/2010 - 6/30/2015).
- Spanias,Andreas Savva*. IUCRC: SenSIP - A Research Site of the Net-Centric Software and Systems Center. NSF-IIP(8/1/2010 - 12/31/2015).
- Spanias,Andreas Savva*. SenSIP Member: LG Communications. (8/1/2010 - 7/31/2012).
- Tepedelenlioglu,Cihan*, Maracas,George Nicolas, Spanias,Andreas Savva. STATISTICAL DATA PROCESSING OF PACECO PV ARRAY MONITORS AND GUI DEVELOPMENT. Paceco(11/15/2009 - 5/31/2012).
- Spanias,Andreas Savva*. Planning Grant: I/UCRC; SenSIP, a research site of the Net-Centric Software and Systems Center. NSF-CISE(7/1/2009 - 6/30/2010).
- Spanias,Andreas Savva*. SenSIP Member: Intel Corporation. Core project "Synthesis Tools for DSP Architectures". INTEL CORP(6/17/2009 - 10/19/2011).
- Spanias,Andreas Savva*. SenSIP Member: Lockheed Martin. LOCKHEED MARTIN CORPORATION(11/6/2008 - 12/31/2010).
- Spanias,Andreas Savva*, Ayyanar,Raja, Papandreou-Suppappola,Antonia, Tepedelenlioglu,Cihan, Thornburg,Harvey Devoe, Thornburg,Harvey Devoe. Collaborative Research: Phase 3 Design Implementation and Dissemination of Multidisciplinary Online Java Digital Signal Processing (J-DSP) Materials. NSF-EHR-DUE(8/15/2008 - 7/31/2015).
- Papandreou-Suppappola,Antonia*, Chakrabarti,Chaitali, Spanias,Andreas Savva. Biomedical Innovations Using Implementation-Aware Agile Sensing and Signal Processing. NSF-CISE-CCR(8/1/2008 - 7/31/2012).
- Tao,Nongjian*, Spanias,Andreas Savva. Yr 2: ASU-Tao: Sensor System for Explosive Detection Based on Multiple Orthogonal Detection Schemes. MOTOROLA LABS(6/29/2008 - 8/21/2009).
- Bakkaloglu,Bertan*, Spanias,Andreas Savva. Revision: Wearable Nanosensors Array for Real-Time Monitoring of Diesel and Gasoline Exhaust Exposure. UC RIVERSIDE(6/1/2008 - 5/31/2012).
- Spanias,Andreas Savva*. SenSIP Member: National Instruments. NI(11/27/2007 - 12/31/2010).
- Spanias,Andreas Savva*, Papandreou-Suppappola,Antonia. SenSIP Member: Acoustic Technologies. ACOUSTIC TECH INC(10/1/2007 - 12/31/2010).
- Spanias,Andreas Savva*, Goodnick,Stephen Marshall, Phillips,Stephen M, Thornton,Trevor John. EXP-SA: DSP Algorithms for Silicon Ion-Channel Sensors. NSF-ENG(8/15/2007 - 3/31/2012).
- Wang,Joseph*, Wang,Joseph*, Bakkaloglu,Bertan, Spanias,Andreas Savva. Wearable Nanosensors Array Real-Time Monitoring of Diesel and Gasoline Exhaust Exposure. UC RIVERSIDE(8/15/2007 - 5/31/2008).
- Spanias,Andreas Savva*. Collaborative Research: An Astronomical-Calibrated Time Scale for the Mesozoic Era. NSF-GEO-EAR(8/1/2007 - 7/31/2011).
- Spanias,Andreas Savva*. SenSIP Member: Raytheon Company, Missile Systems. Raytheon Missile Sys(8/1/2007 - 10/26/2012).
- Rikakis,Thanassis*, Akay,Metin, Bedard,Roger Lee, Benin,Mary Holland, Birchfield,David A, Brungart,Jennifer, Campana,Ellen, Campana,Ellen, Candan,Kasim Selcuk, Clark,Douglas B, He,Jiping, Homa,Donald L, Ingalls,Todd Matthew, Isaac,Gwyneira, James,Jodi H, Karam,Lina, Kelliher,Aisling G, Kelliher,Aisling G, Laubichler,Manfred Dietrich, Leanos,John Jota, Mcbeath,Michael, Nelson,Brian Carl, Panchanathan,Sethuraman, Panchanathan,Sethuraman, Presson,Clark Cortelyou, Qian,Gang, Qian,Gang, Rodriguez,Armando A, Santello,Marco, Savenye,Wilhelmina C, Somerville,Susan Clare, Spanias,Andreas Savva, Spanias,Andreas Savva, Steinmetz,Peter Nathan, Sundaram,Hari, Sundaram,Hari, Thornburg,Harvey Devoe, Thornburg,Harvey Devoe. IGERT: An Arts, Sciences, and Engineering Research and Education Initiative for Experimental Media. NSF-EHR(10/1/2005 - 9/30/2012).
- Spanias,Andreas Savva*, Papandreou-Suppappola,Antonia, Tepedelenlioglu,Cihan, Zhang,Junshan. Collaborative Research: CCLI-EMD:Development of On-Line Laboratories for Networks, Probability Theory, Signals and Systems, and Multimedia Computing. NSF-EHR(4/15/2005 - 3/31/2009).
- Spanias,Andreas Savva*, Duman,Tolga Mete, Papandreou-Suppappola,Antonia, Tepedelenlioglu,Cihan. CRCD/EI: Combined Research Curriculum Development in Signal Processing for Communications. NSF-CISE(9/1/2004 - 8/31/2006).
- Spanias,Andreas Savva*. Evaluation of MxP Coprocessor for Audio/Video Processing Application. Gem Tech(2/1/2004 - 6/1/2006).
- Spanias,Andreas Savva*, Duman,Tolga Mete, Karam,Lina, Papandreou-Suppappola,Antonia, Tsakalis,Konstantinos. ONLINE UNDERGRADUATE LABORATORIES IN SIGNAL AND IMAGE PROCESSING, COMMUNICATIONS, AND CONTROLS. NSF-EHR(1/1/2001 - 12/31/2004).
- Balanis,Constantine A*, Aberle,James T, Capone,Jeffrey, Duman,Tolga Mete, El-Ghazaly,Samir M, Spanias,Andreas Savva, Thornton,Trevor John. SMART ANTENNAS FOR FUTURE RECONFIGURABLE WIRELESS COMMUNICATION NETWORKS. NSF-ENG(10/1/1999 - 9/30/2002).
- Evans,Donovan L*, Carlson,Marilyn P, Craft,Elizabeth Ann, Hestenes,David Orlin, Kawski,Matthias, Linder,Darwyn E, Mckelvy,Michael J, Rockwood,Alyn Paul, Spanias,Andreas Savva, Uttal,William R, Watson,George L. PLANNING GRANT FOR CENTER FOR COLLABORATIVE RESEARCH IN LEARNING TECHNOLOGIES BASED AT ASU. NSF-CISE(10/1/1996 - 10/31/1997).
- Spanias,Andreas Savva*. NOISE AND ECHO CANCELLATION ALGORITHMS FOR DISTRIBUTED HANDS-FREE PC-BASED TELEPHONY. INTEL CORP(8/16/1996 - 8/15/1997).
- Spanias,Andreas Savva*, Sadowsky,John S. ANALYSIS AND IMPLEMENTATION OF THE CDMA DIGITAL CELLULAR SYSTEM. INTEL CORP(8/15/1996 - 8/15/1997).
- Spanias,Andreas Savva*. IMPLEMENTATION & INTEGRATION OF THE SPEECH CODEC, CHANNEL CO. INTEL CORP(5/16/1995 - 8/15/1996).
- Spanias,Andreas Savva*. DEVELOPMENT OF UNIVERSAL & INTEROPERABLE SPEECH & AUDIO COMP. INTEL CORP(2/1/1995 - 1/31/1998).
- Spanias,Andreas Savva*. ANALYSIS & IMPLEMENTATION OF MODEM ALGORITHMS ON INTEL DSP. INTEL CORP(8/16/1994 - 2/28/1995).
- Spanias,Andreas Savva*. SPEECH CODING ALGORITHMS FOR MULTIMEDIA APPLICATION. INTEL CORP(4/1/1994 - 4/15/1995).
- Spanias,Andreas Savva*. IMAGE PROCESSING ALGORITHMS FOR TELECONFERENCING & MULTIMEDI. MOTOROLA, INC(2/1/1994 - 1/31/1995).
- Spanias,Andreas Savva*. SPEECH CODING & RECOGNITION ALG FOR THE PHX ARCHIT-PHASE 2. INTEL CORP(8/16/1993 - 8/31/1994).
- Spanias,Andreas Savva*. SPEECH ENHANCEMENT ALGORITHMS FOR MOBILE COMMUNICATIONS. INTEL CORP(8/16/1993 - 2/28/1996).
- Spanias,Andreas Savva*. PERFORMANCE EVALUATION OF VOICE RECOGNITION ALGORITHMS. MOTOROLA FDN(2/1/1993 - 7/10/1993).
- Spanias,Andreas Savva*. SPEECH CODING RECOGNITION & DATA ENERYPTION ALGORITHMS. INTEL CORP(8/16/1992 - 12/31/1993).
- Spanias,Andreas Savva*. ENHANCEMENT OF SPEECH USING THE PSEUDOCEPSTRUM. MOTOROLA, INC(3/31/1992 - 4/30/1993).
- Spanias,Andreas Savva*. DEVEL. AND EVAL. OF FIXED-POINT FULL-AND HALF-RATE GSM CODER. INTEL CORP(8/15/1991 - 12/31/1992).
- Spanias,Andreas Savva*. ACTINE NOISE CANCELLATION IN DUCTS. ACTIVE NOISE & VIBRATION TECH(8/15/1991 - 12/31/1992).
- Spanias,Andreas Savva*. FIXED-POINT IMPLEMENTATION OF THE VSELP ALGORITHM. INTEL CORP(5/15/1991 - 6/30/1992).
- Spanias,Andreas Savva*. TRANSFORM CODING FOR SEISMIC DATA COMPRESSION. SANDIA NATL LAB(8/18/1989 - 9/30/1990).
Courses
2024 Fall
| Course Number | Course Title |
|---|---|
| BIO 492 | Honors Directed Study |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 690 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 592 | Research |
| EEE 407 | Digital Signal Processing |
| CEN 792 | Research |
| EEE 792 | Research |
| EEE 592 | Research |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 499 | Individualized Instruction |
| EEE 606 | Adaptive Signal Processing |
| EEE 606 | Adaptive Signal Processing |
| EEE 517 | Sensors and Machine Learning |
| EEE 517 | Sensors and Machine Learning |
2024 Summer
| Course Number | Course Title |
|---|---|
| EEE 590 | Reading and Conference |
| EEE 799 | Dissertation |
| EEE 690 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 795 | Continuing Registration |
| EEE 792 | Research |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 592 | Research |
| EEE 592 | Research |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 590 | Reading and Conference |
| EEE 590 | Reading and Conference |
| EEE 592 | Research |
| EEE 599 | Thesis |
| EEE 509 | DSP Algorithms & Software |
2024 Spring
2023 Fall
| Course Number | Course Title |
|---|---|
| BIO 492 | Honors Directed Study |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 690 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 592 | Research |
| EEE 407 | Digital Signal Processing |
| CEN 792 | Research |
| CEN 599 | Thesis |
| EEE 792 | Research |
| EEE 592 | Research |
| CSE 580 | Practicum |
| CEN 590 | Reading and Conference |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 499 | Individualized Instruction |
| CSE 599 | Thesis |
| EEE 607 | Speech Compression/Recognition |
| EEE 607 | Speech Compression/Recognition |
2023 Summer
| Course Number | Course Title |
|---|---|
| EEE 790 | Reading and Conference |
| EEE 690 | Reading and Conference |
| EEE 590 | Reading and Conference |
| EEE 792 | Research |
| EEE 799 | Dissertation |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 592 | Research |
| EEE 592 | Research |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 590 | Reading and Conference |
| CEN 595 | Continuing Registration |
| EEE 592 | Research |
| EEE 599 | Thesis |
| EEE 792 | Research |
2023 Spring
| Course Number | Course Title |
|---|---|
| EEE 492 | Honors Directed Study |
| BIO 493 | Honors Thesis |
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 690 | Reading and Conference |
| EEE 595 | Continuing Registration |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 799 | Dissertation |
| EEE 595 | Continuing Registration |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| EEE 792 | Research |
| CSE 595 | Continuing Registration |
| EEE 590 | Reading and Conference |
| EEE 795 | Continuing Registration |
| CEN 599 | Thesis |
| CSE 599 | Thesis |
| CEN 792 | Research |
| EEE 590 | Reading and Conference |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 506 | Digital Spectral Analysis |
| EEE 506 | Digital Spectral Analysis |
2022 Fall
| Course Number | Course Title |
|---|---|
| BIO 492 | Honors Directed Study |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 690 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 592 | Research |
| EEE 407 | Digital Signal Processing |
| CEN 792 | Research |
| CEN 599 | Thesis |
| CSE 580 | Practicum |
| CEN 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 499 | Individualized Instruction |
| CSE 599 | Thesis |
| EEE 606 | Adaptive Signal Processing |
| EEE 606 | Adaptive Signal Processing |
| EEE 517 | Sensors and Machine Learning |
| EEE 517 | Sensors and Machine Learning |
2022 Summer
| Course Number | Course Title |
|---|---|
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 590 | Reading and Conference |
| CEN 595 | Continuing Registration |
| EEE 591 | Seminar |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 509 | DSP Algorithms & Software |
2022 Spring
| Course Number | Course Title |
|---|---|
| BIO 493 | Honors Thesis |
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 591 | Seminar |
| EEE 499 | Individualized Instruction |
| EEE 690 | Reading and Conference |
| EEE 595 | Continuing Registration |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 799 | Dissertation |
| EEE 595 | Continuing Registration |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| EEE 407 | Digital Signal Processing |
| CSE 595 | Continuing Registration |
| EEE 590 | Reading and Conference |
| EEE 795 | Continuing Registration |
| CEN 599 | Thesis |
| CSE 599 | Thesis |
| CEN 792 | Research |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
2021 Fall
| Course Number | Course Title |
|---|---|
| BIO 492 | Honors Directed Study |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 690 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 592 | Research |
| EEE 407 | Digital Signal Processing |
| CEN 792 | Research |
| CEN 599 | Thesis |
| CEN 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| CEN 792 | Research |
| EEE 499 | Individualized Instruction |
| EEE 499 | Individualized Instruction |
| EEE 607 | Speech Coding Multimedia Comm |
| EEE 607 | Speech Coding Multimedia Comm |
| EEE 517 | Sensors and Machine Learning |
2021 Summer
| Course Number | Course Title |
|---|---|
| EEE 690 | Reading and Conference |
| EEE 590 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 590 | Reading and Conference |
| CEN 595 | Continuing Registration |
| EEE 591 | Seminar |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 509 | DSP Algorithms & Software |
2021 Spring
| Course Number | Course Title |
|---|---|
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 591 | Seminar |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 690 | Reading and Conference |
| EEE 595 | Continuing Registration |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 799 | Dissertation |
| EEE 595 | Continuing Registration |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| EEE 407 | Digital Signal Processing |
| CSE 595 | Continuing Registration |
| EEE 590 | Reading and Conference |
| EEE 795 | Continuing Registration |
| CEN 599 | Thesis |
| CSE 599 | Thesis |
| CSE 790 | Reading and Conference |
| CEN 792 | Research |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 591 | Seminar |
| EEE 499 | Individualized Instruction |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
2020 Fall
| Course Number | Course Title |
|---|---|
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 690 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 592 | Research |
| EEE 407 | Digital Signal Processing |
| CEN 792 | Research |
| CEN 599 | Thesis |
| CEN 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| CEN 792 | Research |
| EEE 499 | Individualized Instruction |
| EEE 499 | Individualized Instruction |
| EEE 606 | Adaptive Signal Processing |
| EEE 606 | Adaptive Signal Processing |
2020 Summer
| Course Number | Course Title |
|---|---|
| EEE 690 | Reading and Conference |
| EEE 590 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 590 | Reading and Conference |
| CEN 595 | Continuing Registration |
| EEE 591 | Seminar |
| CEN 595 | Continuing Registration |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 509 | DSP Algorithms & Software |
2020 Spring
| Course Number | Course Title |
|---|---|
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 690 | Reading and Conference |
| EEE 595 | Continuing Registration |
| EEE 492 | Honors Directed Study |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 799 | Dissertation |
| EEE 595 | Continuing Registration |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| CSE 595 | Continuing Registration |
| EEE 590 | Reading and Conference |
| CEN 599 | Thesis |
| CSE 599 | Thesis |
| CSE 790 | Reading and Conference |
| CEN 792 | Research |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| CEN 592 | Research |
| EEE 499 | Individualized Instruction |
2019 Fall
| Course Number | Course Title |
|---|---|
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| EEE 499 | Individualized Instruction |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 690 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 592 | Research |
| EEE 407 | Digital Signal Processing |
| CEN 792 | Research |
| CEN 599 | Thesis |
| CEN 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 492 | Honors Directed Study |
| EEE 493 | Honors Thesis |
| CEN 792 | Research |
| EEE 499 | Individualized Instruction |
| EEE 499 | Individualized Instruction |
2019 Summer
| Course Number | Course Title |
|---|---|
| EEE 590 | Reading and Conference |
| EEE 790 | Reading and Conference |
| EEE 592 | Research |
| EEE 595 | Continuing Registration |
| EEE 599 | Thesis |
| EEE 792 | Research |
| EEE 795 | Continuing Registration |
| EEE 799 | Dissertation |
| EEE 590 | Reading and Conference |
| EEE 591 | Seminar |
| EEE 591 | Seminar |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 407 | Digital Signal Processing |
| EEE 509 | DSP Algorithms & Software |
Presentations
- Quantum Machine Learning Tutorial at IEEE MWSCAS, Tempe, AZ , Aug. 2023.
- Quantum Machine Learning Seminar part of the NEI QTEL initiative, June 2023.
- The SenSIP IRES 2023 program, July 2023, Univ. of Cyprus (audience 25)
- The SenSIP IRES 2022 program, July 2022, US Embassy, Nicosia held at Univ. of Cyprus (audience 20)
- The ASU SenSIP center sensor and machine learning activities, via Zoom, June 25, 2020 (audience 75)
- The SenSIP RET program, May 2020 (audience 10)
- The SenSIP IRES program, May 2020 (audience 12)
- Solar Array Monitoring Research, Elias Kyriakides workshop, University of Cyprus, 2020.
- Image Processing at the SenSIP I/UCRC, Qualcomm, April 2019 (audience 30)
- SenSIP Research in Sensors and Machine Learning, TU DELFT, Delft, March 2019 (audience 18)
- The IRES Program – A collaboration with the KIOS Center, UCy, Nicosia, February 2019. (audience 40)
- The SenSIP I/UCRC, ON Semiconductor, January 2019 (audience 10)
- Solar Energy and Internet of Things, University of Cyprus, CWSPI, July 2018 (audience 30)
- Collaboration Prospects of SenSIP with PA College, PA College, Larnaca, July 2018 (audience 10)
- Panel with presentation, “Prospects of Commercializing Scientific Research,” 16th HDMS 2018, Larnaca, July 2018. (audience 25)
- “Wireless & signal processing-based technology Innovation: What does it take to bring it to the marketplace?," Panel with presentation, IEEE SPAWC 2018, Kalamata, June 2018. (audience 70)
- Proposal on Machine Learning Algorithms for Surveillance, NSF I/UCRC meeting, March 2018. (audience 40)
- Solar Energy as an IoT Application, IEEE IISA 2017, Keynote Speech, Aug. 2017 (audience 50)
- Flexible Sensors, UT Dallas, April 2017 (audience 60)
- The SenSIP REU Site, Prairie View A&M University (HBCU), Dec. 2016.
- The SenSIP Consortium, Intel Vietnam, Ho Chi Minh City, Vietnam, Nov. 2016.
- SenSIP Research in Sensor Data Security, Global Software (a Hitachi subsidiary in Vietnam), Ho Chi Minh City, Vietnam, Nov. 2016.
- The SenSIP Partnership in International Partnership in Research and Education, Ho Chi Minh University of Technology, Nov. 2016.
- Tutorial on Machine Learning, SensMACH 2016, Hilton Scottsdale, Nov 2016. (audience 51)
- SenSIP Consortium Projects in Machine Learning, SensMACH 2016, Hilton Scottsdale, Nov 2016. (audience 51)
- The SenSIP Solar Array Facility, University of Cyprus, Nicosia, June 29, 2016 (audience 35).
- Research in Audio Processing, Toyota Institute, University of Chicago, April 2016 (audience 40)
- Adaptive Signal Processing Tutorial, Invited Tutorial, IISA, July 14, 2016 (audience 23).
- SenSIP Research and I/UCRC, Signal GeneriX, Limassol, Cyprus, Feb 2016 (audience 10)
- SenSIP Activities in Machine Learning Algorithms, Imperial College, Nov 2015 (audience 30)
- Plenary Session, IISA 2015, Speech and Audio Processing Advances, July 2015. (audience 80)
- The SenSIP Center and NSF I/UCRC, UOP, Athens, Feb 2014 (audience 25)
- Modern Speech Processing Algorithms, Cirrus Logic, June 2013. (audience 20)
- SenSIP Research on Loudness Estimation, Qualcomm, Feb. 2013
- Plenary Session at IEEE FIE 2012, Premier Award Session, Seattle, Oct 2012 (audience 400).
- Plenary Session at KIOS Intelligent Networks Workshop, Nicosia, April 2012 (audience 70).
- At SPWI 2012, Tutorial Session on Graduate Research Publishing, with M. Polycarpou, University of Cyprus, Computer Science, Nicosia, July 2012 (audience 35).
- At LG Communications, San Diego, May 2012 (audience 9)
- At Emerge AME Event, Plenary on Sensors for Arts and Media, With P. Turaga (audience 130)
- At Freescale, Sensors for Imaging, Tempe, May 2012 (audience 12)
- At Motorola Chicago, Signal Processing for Communications, Motorola Shaumburg, Andreas Spanias, Chicago, Jan. 2011 (audience 22).
Honors / Awards
- IEEE Fellow (elected in 2003 for contributions in speech processing).
- 2023 Co-author on SPIE publication that received the best paper award on deep learning.
- 2023 Top 3% Rating Certificate on ICASSP 2023 publication on Quantum Fourier transform signal analysis-synthesis,
- 2019 Elected Senior Member of the National Academy of Investigators (NAI), August 2019.
- 2019 IEEE Region 6 Outstanding Educator Award, “For outstanding research and education contributions in signal processing,” Award at IEEE OPCOM, January 2019.
- 2018 IEEE Phoenix Section Educator Award for “For significant innovations and patents in signal processing for sensor systems,” April 2018.
- 2020 Top 5% teaching award recipient from ASU Ira A. Fulton Schools of Engineering.
- 2019 Top 5% teaching award recipient from ASU Ira A. Fulton Schools of Engineering.
- IEEE Signal Processing Society (SPS) Distinguished Lecturer
- IEEE Donald G. Fink Prize Paper Award from Board of Directors for paper “Perceptual Coding of Digital Audio.”
- Award from Intel Corporation for "Leadership and Contributions in the Development of the Intel 60172 Signal Processing Architecture."
Editorships
Book Series Editor, Springer 2022-present Associate Editor, IEEE Signal Processing Letters, 2000-2002. Associate Editor, IEEE Transactions on Signal Processing, 1994-1997. Guest Co-Editor, IEEE Signal Processing Magazine, Special Issue on Industry Applications, Jan 2000. Guest Editor, IEEE Signal Processing Magazine, Special Issue on Industry DSP Technology, March 2000.
Professional Associations
IEEE Fellow Senior Member of the National Academy of Inventors Member of the Quantum Collaborative Steering Committee
Graduate Faculties / Mentoring History
Mentored more than 35 PhD theses Mentored more than 5 Barrett Theses Mentored more than 30 MS theses
Service
Chair Fulton Schools DFAC (Deans Faculty Advisory Committee)
Chair of two Faculty Search Committees 2021-22, 2022-23
Chair Systems Area for more than 10 years.