Joan Cabestany

Joan CabestanyJoan Cabestany holds a Telecommunications Engineer degree (1976) from the Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. He got his PhD (1982) from the same University, where he is working as a Full-time Professor in the Department o Electronic Engineering. He has been involved in research and innovation activities as a part of his career. He is the responsible member of the AHA ("Advanced Hardware Architectures") research group at UPC, with expertise on reconfigurable hardware, electronic system design, advanced hardware architectures, microelectronics, and VLSI design. One of the main topics of interest has been the practical application of the Artificial Intelligence to the functional improvement of electronic systems. He is a member of the CETpD Research Center staff structure at UPC since 2005. The activities of CETpD are focused on technological developments applied to the improvement and help people with chronic diseases, like Parkinson's Disease and different conditions related with aging. On behalf of UPC, Prof. Cabestany has been responsible for several EU funded projects. Among them, the REMPARK project on PD management and the FATE project for the accurate detection of falls in aging people are the two projects, where Prof. Cabestany has been acting as coordinator. He is the co-author for more than 100 research papers and communications to Conferences. Prof. Cabestany is a co-founder of the Sense4Care Company (www.sense4care.com), a Spin-off of the UPC commercializing relevant innovative research results. Read More Read Less

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Biological and Artificial Computation: From Neuroscience to Technology37 %
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Advances in Computational Intelligence37 %
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Advances in Computational Intelligence37 %
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Bio-Inspired Systems: Computational and Ambient Intelligence59 %
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Computational and Ambient Intelligence54 %
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Mixed Design of Integrated Circuits and Systems37 %
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Mixed Design of Integrated Circuits and Systems37 %
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Holter for Parkinson's Disease Motor Symptoms1 % NR
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Parkinson's Disease Management Through ICTNR
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Computational Intelligence and Bioinspired Systems14 % NR
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Advances in Computational Intelligence1 % NR
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