Members
Francesc Serratosa Casanelles (Investigador principal)
Francesc Serratosa is a full professor of computer science in the Department of Computer Engineering and Mathematics at URV. He is the principal investigator of the AGAUR research group 2021SGR-00111: "ASCLEPIUS: Smart Technology for Smart Healthcare" and currently leads two European projects: SbD4Nano (H2020- NMBP-TO-IND -2019-862195) and NanoInformaTIX (H2020-NMBP-14-2018-814426). He conducts research in computer vision, machine learning and artificial intelligence applied to biotechnology and aquaculture. He has supervised eleven PhD theses. He has published more than 170 papers and 4 patents. He has been listed in the top 2% of most influential scientists.
Susana Álvarez Fernández
Associate Professor of Computer Science in the Department of Computer Engineering and Mathematics at URV. She has participated in several national projects, some of them at the Centre for Computer Vision (CVC). Her PhD thesis focused on texture analysis and developed a new representation for applied colour textures in image retrieval. Specialist in topics related to Artificial Vision and Pattern Recognition, both of which belong to the field of Artificial Intelligence. In the last four years, the direction of her research has shifted a bit towards graph matching theory and graph representation with neural networks.
Fran Casino Cembellín
He is a postdoctoral researcher in the Department of Computer Engineering and Mathematics at URV and Athena Research Centre (Athens, Greece). He received his PhD in Computer Science from URV in 2017 with the best dissertation award. He completed several stays in international research institutions such as ISCTE-IUL (Lisbon, Portugal) and the University of Piraeus (Piraeus, Greece). He has participated in several national and international projects involving various tasks such as proposal writing, coordination, research, development, testing and validation, and dissemination. His research is interdisciplinary and combines different fields of knowledge with disruptive technologies. Some keywords related to his research are pattern recognition, cognitive security, data management, privacy, cybercrime and digital investigations, recommender systems, supply chains and blockchain. He has published more than 60 papers in international conferences and peer-reviewed journals.
Maria Ferré Bergadà
She is an associate professor in the Department of Computer Engineering and Mathematics at URV. She received her PhD in computer science (2004) from UPC. Her research interests have evolved from computer graphics applications and medical data visualisation to projects involving the application of informatics in healthcare. She has been involved in telerehabilitation projects for cognitive skills and telecare programmes for parents of premature infants, and is currently working on the development of a mobile application that promotes positive mental health in non-professional caregivers of chronic patients.
Gerard Fortuny Anguera
He is an associate professor in the Department of Computer Engineering and Mathematics at URV since 2003. He graduated in mathematics from the Universitat de Barcelona in 1998 and received his PhD from the Universitat Politècnica de Catalunya in 2009. His research focuses on the simulation of solids using the finite element method, in particular the human body.
Joan Herrero Sabartés
He is an associate professor in the Department of Chemical Engineering at URV since 1998. He graduated in industrial chemistry from the University of Barcelona in 1986 and obtained his PhD from the same university in 1992. As a postdoctoral researcher, he worked for one and a half years (1993-94) in the Mechanical Engineering Department of UC Berkeley with Professor Joseph A. C. Humphrey. His research areas are computational fluid dynamics, numerical solutions of PDE systems, dynamical systems and modelling and numerical simulation of problems in biomechanics and biomedical engineering
Carme Julià Ferré
She obtained a PhD Degree in Mathematics from the UPC and a doctorate in computer science from the UAB. Associate professor in the Department of Computer Engineering and Mathematics at URV. Currently, her lines of research are aimed at applying machine learning and deep learning to the field of health, either with images or with graphs.
Josep M. López Besora
He is an associate professor in the Department of Computer Engineering and Mathematics at URV, where he has been teaching since 1990. He obtained his PhD in Computer Science and Mathematics of Security from Universitat Rovira i Virgili in 2018. His research is focused on modeling and running computational simulations in biomechanical engineering problems.
Antoni Martínez Ballesté
He is an associate professor in the Department of Computer Engineering and Mathematics at URV since 2003. He obtained his PhD in Telematics Engineering from UPC in 2004. Postgraduate specialist in the European Higher Education Area (Fundació URV, 2006). Member of IEEE. Senior researcher in the Smart Technologies research group (formerly Smart Health, URV) since 2014. Researcher in the Crises group (Security and Privacy, 2001 to 2017). Visiting professor at Shanghai Maritime University (China, September 2018) and LAAS-CNRS (Toulouse, France, summer 2004). His research interests are the application of information and communication technologies to health services and the improvement of quality of life, from technological aspects (Internet of Things, informatics, information security) to ethical and privacy aspects of individuals and society.
M. Àngels Moncusí
She is an associate professor in the Department of Computer Engineering and Mathematics at URV. She received a PhD in Computer Science (2006) from UPC. Her research has evolved from real-time systems design and energy conservation to the Internet of Things. She actively contributes to bringing technology to children and students, especially girls, by introducing Arduinos and Raspberry Pi in high school courses and lectures. In research, she is an expert in real-time systems, sensor networks and the IoT.
Dolors Puigjaner Riba
She is an associate professor in the Department of Computer Engineering and Mathematics at URV, where she has been teaching since 1991. She obtained her PhD in Mathematics from Universitat de Barcelona in 2005. Her current research is focused on modeling and computational simulations in biomechanical engineering problems.
Agustí Solanas Gómez
He is the head of the Smart Technologies Research Group, Serra Hunter Fellow and Associate Professor in the Department of Computer Engineering and Mathematics at URV. He received his PhD with distinction (A cum laude) in Telematics Engineering from UPC in 2007. In 2012, he was a visiting researcher in the Department of Mathematics and Physics at Rome Tre University (Italy). In 2013, he was a visiting researcher at the Department of Mathematics, University of Padova (Italy). His research areas are smart and cognitive health, cognitive security, anti-phishing, privacy and artificial intelligence, in particular clustering, pattern recognition and evolutionary computation. He has authored more than 150 publications and given several invited talks worldwide. He serves as an external reviewer for several National Councils for Scientific Research. He was listed among the 2% most influential scientists by Stanford.
Sarah Fadlallah
She is a predoctoral fellow in the Department of Computer Engineering and Mathematics at URV. She obtained her master in Artificial Intelligence and Computer Security. She is currently pursuing her Ph.D. in graph-based models for molecular generation and property prediction. Her interests are Machine Learning, Graph Neural Networks, Computer Vision, and ethical AI.
Natalia Segura Alabart
She is a predoctoral fellow in the Department of Computer Engineering and Mathematics at URV. In 2018, she graduated in Biotechnology from URV, and later in 2020, she obtained a master's degree in bioinformatics for Health Science from Universitat Pompeu Fabra. Her research focuses are deep learning for chemical compound as graphs, clustering algorithm analysis, and optimization for phylogenetics.