The Signal Processing & Acoustic Technology (SPAT) Group is a young but experienced research team within the School of Engineering (ETSE) of the Universitat de Valencia. The research carried out in SPAT is focused on the design of signal processing and machine learning methods aimed at providing innovative solutions for audio, acoustics and multimedia technologies, covering a wide range of applications.
The group collaborates with a number of local, national and international institutions.
Maximo Cobos received the telecommunications engineer degree, the M.S. degree in telecommunication technologies, and the Ph.D. degree in telecommunications, all of them from the Universitat Politècnica de València, Valencia, Spain, in 2006, 2007, and 2009, respectively. His Ph.D. dissertation was awarded with the Ericsson Best Thesis Award on Multimedia Environments from the Spanish National Telecommunications Engineering Association (COIT). He completed with honors his Ph.D studies under the University Faculty Training program (FPU). In 2010, he was awarded with a “Campus of Excellence” post-doctoral fellowship to work at the Institute of Telecommunications and Multimedia Applications (iTEAM). In 2009 and 2011, he was a visiting researcher at Deutsche Telekom Laboratories, Berlin, Germany, where he worked in the field of signal processing for spatial audio. Since 2011, he has been with the Computer Science Department of the Universitat de València, where he is now an Associate Professor. His work is focused on the area of digital signal processing for audio and multimedia applications, where he has published more than 100 technical papers in international journals and conferences. Dr. Cobos is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Full Member of the Acoustical Society of America (ASA).
His research lines are centered on signal processing algorithms for sound source localization, source separation, speech enhancement, room acoustics, array signal processing, spatial sound and machine learning.
He is an affiliate member of the IEEE Audio and Acoustic Signal Processing Technical Committee, and a member of Audio Signal Processing Technical Committee of the European Acoustics Association (EAA).
He is a reviewer for several conferences and journals related to signal processing, such as IEEE Transactions on Signal Processing, IEEE/ACM Transactions on Audio, Speech and Language Processing, IEEE Signal Processing Letters, EURASIP Journal on Advances in Signal Processing and the Journal of the Acoustical Society of America. Since 2018, he serves as an Associate Editor for IEEE Signal Processing Letters and EURASIP Journal on Audio, Speech and Music Processing.
More about him on his website.
F.J. Ferri received the Licenciado degree in Physics and the Ph.D. in Pattern Recognition both from the Universitat de València in 1987 and 1993, respectively. He has been with the Computer Science Dept. of this university from 1987, and as a full professor since 2008 after obtaining the corresponding national habilitation in 2007. He was also with the Robotics institute and has participated in more than 20 funded research projects, leading 11 of them (since 1995) among which we can mention a 5-year Consolider project. He has authored or coauthored more than 150 papers. 36 of them indexed in JCR. He has reviewed papers for relevant publications in his fields of interest as Pattern Recognition, IEEE T. Pattern Analysis and Machine Intelligence, IEEE T. Systems, Man and Cybernetics e IEEE T. Neural Networks and Learning Systems, etc. He is also associate editor of the Pattern Recognition journal. Moreover, he has served as reviewer for several international and Spanish research agencies (Aneca, Anep, AECI, GAAV-Czech Republic, NWO-EW-Holland, NCN-Poland) and Ph.D. thesis (Spain, Italy, Czech Rep., India).
He usually participates in funded teaching innovation projects and has published books and papers about teaching. Prof. Ferri is member of the IAPR (AERFAI) and ACM, and senior member of the IEEE. His current research interests include feature selection, nonparametric classification, machine learning and computer vision.
Jaume Segura received a Ph.D. in physics from the Universitat de Valencia, Valencia, Spain in 2003. After completing his Ph.D., he worked at the Institut de Robotica de la Universitat de Valencia, where he was involved in several projects related to intelligent transportation systems. Since 2008, he has been with the Computer Science Department of the Universitat de Valencia, where he is currently an Associate Professor.
He has been a visiting researcher at multiple European research centers. Dr. Segura has coauthored more than 90 publications at national and international journals, book chapters and conferences. He was at the organizing committee of several national and international conferences, including the International Workshop on Virtual Acoustics (ISVA 2011). He is a member of the Spanish Acoustics Society (SEA) and the European Acoustics Association (EAA).
Juan J. Perez-Solano received the M.Sc. in physics and the Ph.D. degree in electrical engineering from the Universitat de Valencia in 1994 and 2002, respectively. In 1996, he joined the Computer Science Department of the Universitat de Valencia, where he is currently an Associate Professor. His research interests include multiresolution techniques and wavelet transform applications, spread spectrum communications, wireless data transmission, and wireless sensor networks.
Santiago Felici-Castell received the M.Sc. and Ph.D. degrees in telecommunication engineering from Universitat Politècnica de València in 1993 and 1998, respectively. He is currently Associate Professor at the Universitat de València. His research has focused on various topics related to the general field of networking, communication systems and multiresolution techniques for data transmission with quality of service. He is also a Cisco Systems certificated instructor and author of more than 25 technical papers in international journals and conferences.
Irene Martín Morató earned her B.S degree in Telematics Engineering from Universitat de València in 2014. She completed her Ph.D in Information Technology, Communications and Computation at the University of Valencia under the supervision of Dr. Francesc J. Ferri and Dr. Maximo Cobos. Her topics of interest are machine learning, acoustic event detection and signal processing.
Jesus Lopez received the title of Telecommunications Engineer specialized in Electronic Systems in 2009 at University of Valencia, with the highest possible rating, a mention for Best Academic Record and obtaining the Extraordinary Prize Final Project of the College of Telecommunications Engineers (ETSE). During the course of these studies, he worked in Control Execution Department in some projects , related to security, data acquisition and data transmission as freelancer. This experience led him to work for several years with the Hospital Arnau de Vilanova in the city of Valencia, where he specialized in the acquisition and processing of biomedical signals and the design of systems of care and remote monitoring of patients.His interest in signal processing hardware and software, led him to collaborate on several projects of design of electronic systems, both in terms of acquisition and signal processing, as well as alternative energy and optics.
Currently he is working as a researcher in SPAT focusing his work in machine learning and visualization techniques for IoT acoustics.
Mario Montagud received his BsC, MsC and PhD (Cum Laude, Extraordinary Award) degrees in Telecommunication from the Polytechnic University of Valencia (UPV). During his PhD degree and after completing it, he did 3 research stays (accumulating 18 months) at CWI (The National Research Institute for Mathematics and Computer Science in the Netherlands). He also has experience as a postdoc researcher at UPV. In 2018, Mario became Part-Time Professor (Prof. Asociado) at the University of Valencia (UV, Computer Science Department) and also joined i2CAT Foundation (Barcelona), becoming the Research Leader of its Media & Internet Unit. In that year, Mario was granted with a Juan de la Cierva – Incorporación fellowship at UV, starting the 2-year contract in April 2019. Since then, Mario keeps the collaboration with i2CAT, by means of a Collaboration Agreement between both entities, of which he is the Principal Investigator (PI). He has recently become the Research Director of its Media & Internet Unit. In September 2019, Mario was granted with a “Beca Leonardo – Investigadores y Creadores Culturales”, by the Fundación BBVA (<5% success rate). He is (co-)author of over 100 scientific and teaching publications, and has contributed to standardization (within the IETF, W3C and ISO). He has participated in many research projects at the local, regional, national and international levels, with leadership roles in some of them (PI of three projects, Work Package leader of 2 H2020 projects, Task Leader of 2 H2020 projects). Currently, he is involved in four EU H2020 projects, one COST ACTION (being Management Committee Member), and three national Excellence Networks. His topics of interest initially included Computer Networks, Synchronization and Quality of Service (QoS). After his PhD, they were expanded to Interactive and Immersive Media (e.g. Virtual Reality), Accessibility, Human Computer Interaction (HCI) and QoE (Quality of Experience).
Gabriel Moreno was born in Valencia, Spain. He received the title of Technical Engineer in Telecommunications specializing in Sound and Image in 2011 and the Master Degree in Acoustical Engineering in 2012 (both at Universitat Politecnica de Valencia).
He is a vocational professional highly focused on audio research and development. His first works in the field were related to the development of signal processing and acoustics applications, such as software audiometers and acoustic parameter estimators for smartphone technology. He joined the Institute for Telecommunications and Multimedia Applications in 2012, working for the Telefonica Chair in Telecommunications, under pioneering projects as a 3D audiometer or real-time active noise cancellation app for mobile devices.
More about Gabriel on AppAcoustiC.
Ana M. Torres received the M.Sc in Telecommunications Engineer from Polytechnic University of Valencia, Spain, in 2003. From 2004 to 2006 she worked within a multinational automotion company and she participated as researcher at the Institute of Telecommunication (iTEAM) working in the field of audio signal processing since end of 2012 when she achieved her PhD from Polytechnic University of Valencia.
Currently she is an Assistant Professor in the IEEAC Department in the University of Castilla-La Mancha, Spain. Her work is focussed on the area of signal and communications processing for audio. Her research interests are centered in signal processing algorithms for room acoustics, sound localization, array signal processing, spatial sound and recently in biomedical signal processing and electromagnetism applications.
Juan M. Navarro received the telecommunications engineer degree, the M.S. degree in telecommunication technologies, from the Universidad Politécnica de Cartagena, Murcia, in 2006 and 2008, respectively and the Ph.D. degree in telecommunications from the Universitat Politècnica de València, Valencia, Spain, in 2012. Since 2006, he has been an Assistant Professor at the Polytechnic Science Department, Universidad Catolica San Antonio de Murcia.
In 2009 he was a visiting researcher at Acoustic Technology, Technical University of Denmark, and in 2012 at the Department of Media Technology, Aalto University of Finland. His research is centered on signal processing algorithms for audio and acoustics, where he has published more than 30 technical papers in international journals and conferences. His interests include room acoustics simulation, spatial audio and array signal processing.
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