Prof. Giuseppe Riccardi is the founder and director of the Signals and Interactive Systems Lab at the University of Trento, Italy. He received his Laurea degree in Electrical Engineering and Master in Information Technology in 1991 from the University of Padua and CEFRIEL/Polytechnic of Milan (Italy), respectively. From 1990 to 1993, he collaborated with Alcatel-Telettra Research Laboratories (Italy). In 1995 he received his PhD in Electrical Engineering from the Department of Electrical Engineering at the University of Padua, Italy. From 1993 to 2005, he was at AT&T Bell Laboratories (USA) and then AT&T Labs-Research (USA), where he worked in the Speech and Language Processing Lab. In 2005 he joined the Department of Information Engineering and Computer Science at the University of Trento (Italy).
Prof. Riccardi's research on stochastic finite state machines for speech and language processing has been applied to a wide range of domains for task automation. He and his colleagues designed the
AT&T spoken language system, which ranked first in the 1994 DARPA ATIS evaluation. He and his colleagues pioneered speech and language research in spontaneous speech for the well-known "How May I Help You?" research program, which led to breakthrough speech services. His research on learning finite state automata and transducers has led to the creation of the first large-scale finite state chain decoding for machine translation ( Anuvaad ). He led the University of Trento’s team that contributed to the IBM WATSON machine that won the Jeopardy! challenge.
Prof. Riccardi has co-authored more than 240 scientific papers. He holds more than 90 patents in the
artificial intelligence and machine learning area, specifically in automatic speech recognition, understanding, machine translation, natural language processing, and active learning. His research interests are natural language modeling and understanding, spoken/multimodal dialogue, affective computing, machine learning, and social computing.
Prof. Riccardi has been on the scientific committee of conferences covering the science and engineering of speech and language research (INTERSPEECH, ICASSP, EMNLP, ACL). He co-organized the IEEE ASRU Conference in 1993, 1999, and 2001 and was the General Chair in 2009.  He has been the Guest Editor of the IEEE Special Issue on Speech-to-Speech Machine Translation. He has co-founded the ACM Transactions of Speech and Language Processing. He has been elected a member of the IEEE SPS Speech Technical Committee (2005-2008). He is a member of ACL and ACM and was elected Fellow of IEEE (2010), ISCA (2017), and AAIA (2023 ).
Prof. Riccardi has received many national and international awards, including the Marie Curie Excellence Grant (predecessor of the ERC Starting Grant ) by the European Commission, IEEE SPS Best Paper Award, IBM Faculty Award, and AMAZON Alexa award.

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