group photo

The Wireless Information Networking (WIN) group belongs to the Department of Telecommunications and Systems Engineering of UAB and is formed by a multidisciplinary team (computer and telecommunication engineers). The WIN group has a solid expertise in the application of data and statistical signal processing algorithms in wireless sensor networks and speech processing. WIN activities are focused now on the development of machine learning solutions to extract value from wireless data by considering two industrial verticals: eHealth and Automotive. WIN group is a Emergent Research Group (SGR) recognized by Catalan Government.

Mission

To extract value from Wireless data.

Vision

To become the top leading European research group providing data value solutions.

Values

  • Quality
  • Commitment
  • Honesty
  • Respect

Faculty Professors

Antoni Morell

foto toni

Antoni Morell received the M.Sc. degree in electrical and electronic engineering and the Ph.D. degree from the Universitat Politècnica de Catalunya (UPC), Barcelona, in 2002 and 2008, respectively. He was with the Signal Theory and Communications Department, UPC, from 2002 to 2005 holding a Spanish Government FPU Grant to pursue the PhD studies. He joined Universitat Autònoma de Barcelona in 2005, where he is currently an Associate Professor. Dr. Morell has expertise in optimization techniques applied to communications and IoT/WSN, publishing +20 papers in recognized international journals and +40 papers including conference proceedings.

Research interests:

  • IoT/WSNs data applications
  • Deep learning applications to e-Health

ORCID   mail

Javier Serrano

foto javier

Javier Serrano is Associate Professor at Universitat Autonoma de Barcelona (UAB). He teaches and researches at the Dep of Telecommunications and System Engineering in the area of Medical Data Analytics. He graduated in Computer Science in 1988, and received a Ph.D. (1994) degree in Automatic Control (Computer Science Program) at UAB. He was the Educational Director and Project Manager in Speech Technologies at Center for Ambient Intelligence and Accessibility of Catalonia (CaiaC),a research center and a technology transfer node from the Catalan IT network. He also was the Director of the Infoaccessibility Service at UAB. Dr. Serrano has expertise in model predictive control, speech technologies and medical data analytics, publishing in recognized international journals and conference proceedings, and participating in national and international projects. He volunteers for Academics Without Borders (AWB) and was involved in projects with Karatina University and Aga Khan University in Kenya.

Specialties:

  • Medical Signal Analytics
  • Deep Learning applications to e-Health

ORCIDLinkedIn   mail

José L. Vicario

foto jose

Jose Lopez Vicario: is an Associate Professor at the Universitat Autònoma de Barcelona (UAB). He received both the degree in electrical engineering and the Ph.D. degree (cum laude) from the Universitat Politècnica de Catalunya (UPC), Barcelona, in 2002 and 2006, respectively. He also holds an MBA from the IESE Business School, Universidad de Navarra. Dr. Vicario has a wide expertise on wireless communications and IoT/WSN, publishing 28 papers in recognized international journals, +50 papers in conferences and supervising 4 PhD Thesis (+3 in progress). Dr. Vicario received the 2005/06 best Ph.D. prize in Information Technologies and Communications by the UPC and holds the Advanced Research accreditation issued by Catalan Government.

Research interests:

  • Deep learning for mobility
  • Automotive real time aplications

ORCIDLinkedIn  mail

Researchers

Guillem Boquet

foto guillem

Guillem Boquet received the M.Sc. degree in electrical engineering from Universitat Autònoma de Barcelona (UAB) in 2014. From 2012 to 2014, he was a research assistant at the Department of Telecommunications and Systems Engineering and collaborated in the research and development project 3SENS. Later, he worked for several companies such as Everis, Vodafone, Huawei and government agency CESICAT. Since October 2016, he is pursuing the Ph.D. degree at the Department of Telecommunications and Systems Engineering and collaborating in teaching courses on digital communications, signals and systems. During this time, he has authored one conference paper and one international journal. His main research interests include Vehicular Communications, Wireless Sensors Networks, Big Data and Real-time Analytics.

mail

Michael Gitau

foto mike

Michael Gitau received his B.Sc. in Computer Science from Moi University in December 2009 and his M.Sc. in Data Communication in 2014 from KCA University in Kenya. He specialized in networks, network connected devices, cloud computing and machine learning. He is currently a Ph.D. student in Electrical and Telecommunication Engineering and carrying out research in predicting models in chronic disease.

mail

Edwar Macias

foto edwar

Edwar Macias received his B.Sc. in Electronic Engineering in 2014 from Universidad de Antioquia (UdeA), Colombia, his M.Sc. in Telecommunications Engineering in 2017 from Universitat Autònoma de Barcelona (UAB). He is a Ph.D. student in Electrical and Telecommunication Engineering, He currently works at the Department of Telecommunications and Systems Engineering, joint with the research group WIN (Wireless Information Networking). His research interests include machine learning, data mining, e-health, IoT.

mail

Ivan Pisa

foto ivan

Ivan Pisa Dacosta received the B.Sc in Telecommunications Systems Engineering in 2016 and the M.Sc in Telecommunications Engineering in 2018, both from Universitat Autònoma de Barcelona. In 2016, he has been collaborating in the development of a project related to the Air Traffic Management adopting the Automatic Dependent Surveillance Broadcast system in the SME company Asociación Levelco. Then, from September 2016 to February 2018 he has been a research assistant of WIN (Wireless Information Networking) group. Nowadays, he is pursuing the Ph.D. studies in Electrical and Telecommunications Engineering under the supervision of WIN and ASAC (Advanced Control Systems & Automation) research groups. His research interests include Machine Learning, IoT, Industry 4.0 and Data Analytics.

mail