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Francesco A. N. Palmieri received the Laurea degree in Ingegneria Elettronica (cum laude) from Università degli Studi di Napoli Federico II, Naples, Italy, in 1980. He received the Master's degree in applied sciences and the Ph.D. degree in electrical engineering from University of Delaware, Newark, DE, USA, in 1985 and 1987, respectively.
In 1981, he was a Second Lieutenant in the Italian Army in fulfillment of draft duties. In 1982 and 1983, he was with the ITT firms: FACE SUD Selettronica in Salerno (currently Alcatel), Italy, and Bell Telephone Manufacturing Company, Antwerpen, Belgium, as a Designer of digital telephone systems. In 1987, he was appointed as an Assistant Professor in electrical and systems engineering with the University of Connecticut, Mansfield, CT, USA, where he was awarded tenure and promotion to Associate Professor in 1993. In the same year, after a national competition, he was awarded the position of Professore Associato with the Dipartimento di Ingegneria Elettronica e delle Telecomunicazioni, Università degli Studi di Napoli Federico II, where he was until October 2000. In February 2000, he was nominated a Full Professor in telecommunication engineering after a national competition and was appointed in November 2000 at Dipartimento di Ingegneria dell’Informazione, Università della Campania Luigi Vanvitelli, Aversa, Italy. He is currently a Visiting Research Scholar with the Department of Electrical and Computer Engineering, University of Connecticut. His research interests include signal processing, communications, information theory, and machine learning.
Dr. Palmieri was awarded a Fulbright Scholarship to conduct graduate studies at the University of Delaware, Newark, DE, USA, in 1983. He was the recipient with S. Marano and G. Franceschetti, of the S. A. Schelkunof Award for the best paper of the year on IEEE Transactions on Antennas and Propagation in 1999.
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Smart innovation, systems and technologiespp.103-113, (2023)
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APPLIED INTELLIGENCEno. 20 (2023): 23613-23627
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2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)pp.1-6, (2023)
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2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)pp.1-6, (2023)
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