Notícias

Seminar ''Research and Education Efforts in Machine Learning and Quantum Computing''

22 de março | 10h00 | B021 FEUP

Andreas Spanias, professor at Arizona State University, EUA, will give the seminar "Research and Education Efforts in Machine Learning and Quantum Computing" on March 22, from 10am to 11am, at Room B021.

This seminar will describe research and education activities of the Sensor Signal and Information Processing (SenSIP) center in machine learning and quantum signal processing.  The SenSIP center has several research and education projects funded by the National Science Foundation (NSF) and by industry. Education projects include development of signal processing and machine learning tools using our award winning software J-DSP.  Recent efforts focused on implementing quantum Fourier transforms for education and research on J-DSP with some results presented at IEEE ICASSP 2023.  On the other hand, industry research is focused on collaborative projects which are supported by members of the center which include Alphacore, Lightsense, NXP, On Semi, PSG, Poundra, Qualcomm, Raytheon and Samsung. Through the years students and faculty affiliated with the center worked on speech and image processing projects as well as other applications associated with AI algorithms for sensor calibration, PV fault detection, smart cameras and radar systems.  More recently our faculty and students began exploring quantum computing simulations for signal processing and machine learning applications. In the seminar, we will summarize our industry research and focus on some of our initial results on quantum signal processing and quantum machine learning for speech processing applications.  At the end of the seminar, we will describe some of our NSF workforce development efforts with European universities and present opportunities for collaboration with Universidade do Porto.

Biography
Andreas Spanias 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, quantum machine learning and sensor systems. He and his students developed the award winning software J-DSP which was sponsored by NSF.  Dr. Spanias is author of two textbooks: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.).  He contributed to more than 350 papers, 11  monographs, and 26 US patents.  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. He is currently heading four NSF workforce development projects as a PI. He received 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 Outstanding Educator Award (across 12 states) with citation: “For outstanding research and education contributions in signal processing.”  He is a Senior Member of the National Academy of Inventors (NAI).

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