He is a member of the Spanish Committee of Automatics (CEA), the Spanish Biomedical Engineering Society (SEIB) and the Institute of Electrical and Electronics Engineers (IEEE).
He teaches subjects on Automatics and Systems Engineering at the School of Industrial Engineering of Barcelona (ETSEIB). Courses are related to Control Theory, Continuous Time Systems and Digital Control, as well as Signal Analysis. Currently, he is the Director of Post-Graduate Program “Technologies of Industrial Control and Scada” of the CIM Foundation. He also teaches a course on Biomedical Signals in the Master on Biomedical Engineering (UPC and Universitat de Barcelona).
Joan F. Alonso was born in Ripoll in 1979. He received the Telecommunication Engineer Degree from the Universitat Politècnica de Catalunya (UPC) in 2002 and the Master in Bioengineering Degree from the same university in 2004.
He worked as a research assistant from 2004 to 2007 at the Biomedical Engineering Research Centre (CREB), and as a researcher from 2008 to 2009 at the Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN) of the Carlos III Health Institute.
In 2011 he obtained his PhD degree on Biomedical Engineering from the UPC, and at present he works as a Teaching Assistant at the Automatic Control Department (ESAII). His research interests include the analisys of the interactions between biological signals and systems, with application to myographic (EMG and MMG) and encephalographic (EEG and MEG) signals.
He has taught subjects on Automatics, Control and Industrial Informatics at the School of Industrial Engineering of Barcelona (ETSEIB), the School of Engineering of Vilanova i la Geltrú (EPSEVG), the Faculty of Nautical Studies of Barcelona and the College of Industrial Engineering of Barcelona (EUETIB).
Currently, he teaches Biomedical Signal and Image Processing at the College of Industrial Engineering of Barcelona (EUETIB).
Since 2006 she is lecturer in the TSC department. She is member of the Comité Español de Automática (CEA) and the Institute of Electrical and Electronics Engineers (IEEE).
She is chief of the Electronic Control Systems (SEC) of the Signal Theory and Communications (TSC) department in the UPC.
She teaches subjects at the Barcelona Telecom (ETSETB) and the CIM Foundation. Her teaching subjects include: Control Theory, Industrial Communications, Distributed Control systems, Fundamentals and Applications of MATLAB and advanced Control (MIMO, Adaptive, Neural networks, Optimal and Robust).
Carolina M. Migliorelli was born in Buenos Aires, Argentina in 1987. She received the Telecommunication Engineer Degree specializing in Electronic Systems from the Universitat Politècnica de Catalunya (UPC) in 2009. She holds a M.Sc. in Biomedical Engineering from the Universitat de Barcelona (UB) and UPC obtained in 2011.
She has experience working as a researcher in different projects. Currently she is a Ph.D student in the BioART group doing her research on cerebral location and evaluation of connectivity in neurological applications.
He is currently an Assistant Professor at the Nautical School of Barcelona (FNB) and at the School of Industrial Engineering of Barcelona (ETSEIB) of the UPC. He develops his activity in the Automatic Control Department (ESAII).
He is member of the Biomedical Signals and Systems Division of the Biomedical Engineering Research Centre (CREB) of the UPC.
He teaches subjects on Automatics and Systems Engineering at the FNB. Teaching is related to Control Theory in Continuous-Time Systems and in Discrete Systems in the Naval Engineering Field. He also teaches in the Postgraduate Program of “Industrial Control Technologies and Scada” in the CIM Foundation.
She is member of the Biomedical Engineering Research Centre (CREB) of the UPC and also of the Bioelectronics and Clinical Engineering Research Group (GIBIC) of the UdeA.
His research interests include biomedical instrumentation, signal processing, and machine learning techniques with applications in human-machine interfaces, prostheses and assistive devices. Currently, he is working on motor tasks identification based on the high-density electromyography.