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Miguel Bordallo Lopez

Doctor of Science (Tech.)

 https://orcid.org/0000-0002-5707-9085
20082019
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Personal profile

Research interests

Miguel Bordallo is a Senior Scientist at VTT Data-Driven Life group. He studied for a Bachelor's degree in Telecommunication Engineering at the Technical University of Madrid, Spain. He received his Master's and Doctoral degrees from the University of Oulu in 2010 and 2014 respectively. Already in 2006, he joined the Center for Machine Vision and Signal Analysis at the University of Oulu where he currently holds the title of Docent in Real-time Imaging-based Sensing. He has been teaching undergraduate courses on digital signal processing and multiprocessor programming. His current research interests include embedded AI, image-based real-time sensing, thermal imaging, vision-based vital sign monitoring, computer vision for healthcare, multimodal mobile user interfaces, GP-GPU computing and energy efficient embedded computer vision. He has authored more than 30 scientific publications. He is an Associate Editor at the Journal for Real-Time Image Processing and a 2017 Nokia Bell Labs Prize finalist.

Education/Academic qualification

Other, University of Oulu

Computing, Doctorate, University of Oulu

External positions

Docent in Real-time Imaging-based sensing, University of Oulu

18 Dec 2018 → …

Keywords

  • QA75 Electronic computers. Computer science
  • GPGPU
  • computer architectures
  • QA76 Computer software
  • AI
  • computer vision
  • face recognition
  • real-time image processing

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Computer vision Engineering & Materials Science
Energy efficiency Engineering & Materials Science
Mobile devices Engineering & Materials Science
Infrared imaging Engineering & Materials Science
Fueling Engineering & Materials Science
Display devices Engineering & Materials Science
User interfaces Engineering & Materials Science
Textures Engineering & Materials Science

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Research Output 2008 2019

Face alignment: improving the accuracy of fast models using domain-specific unlabelled data and a teacher–student scheme

Alvarez Casado, C. & Bordallo Lopez, M., 2019, In : Electronics Letters. 55, 11, p. 646 - 648 3 p.

Research output: Contribution to journal › Article › Scientific › peer-review

Computer vision
Deep learning
1 Citation (Scopus)

Fueling AI with public displays? A feasibility study of collecting biometrically tagged consensual data on a university campus

Hosio, S., Alorwu, A., van Berkel, N., López, M. B., Seetharaman, M., Oppenlaender, J. & Goncalves, J., 2019, Proceedings of the 8th ACM International Symposium on Pervasive Displays. Cauchard, J., Gentile, V., Khamis, M. & Sorce, S. (eds.). Association for Computing Machinery ACM, 7 p. 14

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Fueling
Display devices
Metadata
Computer vision
Innovation

Transport Triggered Array Processor for Vision Applications

Mehdi, S., Ilkka, H., Bordallo López, M. & Silvén, O., 2019, Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2019. Pelcat, M., Jung, M. & Pnevmatikatos, D. N. (eds.). Springer, p. 361-372 12 p. (Lecture Notes in Computer Science, Vol. 11733).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Parallel processing systems
Energy efficiency
Curbs
Convolution
Energy dissipation
10 Citations (Scopus)

A Survey on Computer Vision for Assistive Medical Diagnosis From Faces

Thevenot, J., Lopez, M. B. & Hadid, A., Sep 2018, In : IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1497 - 1511 15 p., 8059954.

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
Computer vision
Patient Positioning
Image analysis
Health Status
Mirrors
5 Citations (Scopus)

Kinship verification from facial images and videos: human versus machine

Bordallo Lopez, M., Hadid, A., Boutellaa, E., Goncalves, J., Kostakos, V. & Hosio, S., Jul 2018, In : Machine Vision and Applications. 29, 5, p. 873 – 890 18 p.

Research output: Contribution to journal › Article › Scientific › peer-review

Computer vision
Experiments