Joško Šoda received BS, MS, and PhD degrees in Electrical Engineering from the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture (FESB) at the University of Split, Split, Croatia in 1999, 2005, and 2010, respectively. From 2001 to 2012, he worked in the Department of Electronics and Computing at FESB as a Research Assistant. His research interests include time-frequency analysis, learning and classification algorithms, statistical signal processing, applied signal processing in medicine, and the Internet of Things (IoT) in industry. He has participated in eight research projects funded by the private or public sector, and he has authored more than 40 scientific papers published in different scientific conferences and journals. He is also an EASE and IEEE member of the Signal Processing and Computer Societies.
Research Keywords & Expertise
Deep Learning
Digital Signal Process...
Neural Networks
Statistical Signal Pro...
Biomedical signal proc...
marine surveillance
marine processes
Motor Evoked Potential...
Short Biography
Joško Šoda received BS, MS, and PhD degrees in Electrical Engineering from the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture (FESB) at the University of Split, Split, Croatia in 1999, 2005, and 2010, respectively. From 2001 to 2012, he worked in the Department of Electronics and Computing at FESB as a Research Assistant. His research interests include time-frequency analysis, learning and classification algorithms, statistical signal processing, applied signal processing in medicine, and the Internet of Things (IoT) in industry. He has participated in eight research projects funded by the private or public sector, and he has authored more than 40 scientific papers published in different scientific conferences and journals. He is also an EASE and IEEE member of the Signal Processing and Computer Societies.
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