Author Archives: petia

Petia Radeva’s Homepage


Petia foto

Full professor, at the Department of Mathematcis and Computer Science, Faculty of Mathematics and Computer Science, Universitat de Barcelona, Icrea Academia

Senior Researcher at Computer Vision Center (CVC)

Head of Computer Vision and Machine Learning at the University of Barcelona consolidated research group (www.ub.edu/cvub)

 
 
Personal Web: http://www.cvc.uab.es/people/petia,
email: petia dot ivanova at ub dot edu
Google Scholar CitationsMicrosoft Academic RecordLinkedIn, ResearchGate
 
A one-year postdoc position is open within an European project. For more details, see the link.
 
We have a vacant Master and/or PhD Fellowship on Lifelogging and Deep learning! If you are interested, send your CV and Academic transcript to petia.ivanova@ub.edu.

Biosketch

I did my undergraduate study at the University of Sofia, Bulgaria, at 1989. In 1991 I moved to Spain where in 1993 I presented my Master at the Universitat Autònoma de Barcelona in the field of Image Processing, Computer Graphics and Artificial Intelligence. In 1996, I received my Ph.D. degree from the Universitat Autònoma de Barcelona. Currently, I’m Head of Barcelona Perceptual Computing Laboratory (BCNPCL) at the University of Barcelona and Head of Medical Imaging Laboratory (MILab) of Computer Vision Center (www.cvc.uab.es). My present research interests are on development of learning-based approaches for computer vision and image processing. Some of the recent projects I’m currently leading or participate are: Can a monitorizing wearable camera help change our lifestyle?, Machine learning tools for large scale object recognition, Audience measurements by Computer Vision, Evaluation of Intestinal Motility by Endoluminal Image Analysis, Sponsored Research Agreement on Automatic Stent Detection in IVUS, Study for the development of a polyp detection algorithm under a Polyp Detection, etc.

Currently, I’m member of:

Research interests

My research interests are in the fields of:

  • Lifelogging and egocentric vision
  • Event detection
  • Object discovery
  • Video segmentation and analysis
  • Image segmentation
  • Multi-class classification

Applications of Computer Vision and Machine Learning to Healthcare deserve special interest to me. In particular:

  • Applying life-logging to Mild Cognitive Impairment patients.
  • Applying life-logging to improve healthy habits of persons.
  • Wireless endoscopy for intestine motility disorders diagnosis.
  • Registration and retrieval of IVUS pullbacks for pre- post-intervention assessment.

Software license

Our API and APP for Automatic food recognition, LogMeal has been registered!

Publications

For a complete list of my publications, please have a look here.

Talks

Team

PhD and Master students:

Marc Bolaños (PhD Fellow, UB).

Eduardo Aguilar, (PhD Fellow), UB & Chile.

Estefania Talavera (Master Fellow, UB, co-supervised with Prof. Nicolai Petkov, of the University of Groningen).

Mostafa Kamal, PhD student, co-supervised with Dr. Domenec Puig (URV), URV.

Marga Torre, La Generalitat de Catalunya, co-supervised with Dr. Fernando Hernandez (UPC) and Ricardo Toledo (UAB).

Eduardo Aguilar (PhD Fellow, Chile).

Gabriel de Oliveira (PhD Fellow).

Pedro Herruzo (Master student, UB).

Alejandro Cartas (PhD Fellow, Mexico).

Maria Leyva (Master student, UB).

PhD. Collaborators:

Mariella Dimiccoli (Postdoc, UB).

Beatriz Remeseiro, Juan de la Cierva Postdoc, UB.

Simone Balocco, Associate professor, UB.

Laura Igual, Associate professor, UB.

Visiting students:

Emanuela Molova, Master student, Bulgaria.

Yordan Petrov, Master student, Bulgaria.

External collaborations:

Maite Garolera, Head of Neuropsychology Unit at Consorci Sanitari de Terrassa.

Domenec Puig, Associate professor, Universitat Rovira i Virgili (URV).

Xavier Giro-i-Nieto, Associate professor, UPC.

Roberto Elosua, Senior researcher, IMIM.

Maria del Mar Vila, PhD student, IMIM.

Jose Massa & Jose Moreno, Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina.

Supervised PhD thesis:

16. Maedeh AGhei, 2018, UB.

15. Felip Miralles, 2016, UB

14. Michal Drozdzal, 2014, UB

13. Marina Alberti, 2013, UB

12. Francesco Ciompi, 2012, UB

11. Pierluigi Casale, 2011, UB

10. Sergio Escalera, 2009, UAB

9. David Rotger, 2008, UAB

8. Fernando Vilariño, 2006, UAB

7. Jaume Amores, 2006, UAB

6. Ignacio Pulido, 2005, University of Zaragoza

5. Misael Rosales, 2005, UAB

4. Debora Gil, 2004, UAB

3. Oriol Pujol, 2004, UAB

2. Cristina Cañero, 2003, UAB

1. Ricardo Toledo, 2002, UAB

Supervised Master thesis:

Chen Zang, BioHealth Master, co-supervised with Laura Igual (UB).

Marc Bolaños, UB, 2014.

Maedeh Aghaei, UB, 2013.

Teaching

Currently, I’m teaching:

Computer Vision, a course for 3rd year students of Computer Science undergraduate study at the University of Barcelona.

Artificial Vision, a Master course for students of graduate study on Artificial Intelligence, UPC-UB-URV.

Advanced Medical Imaging, a Master course for students of graduate study on Biomedical Engineering.

Graduate course on Data science, UB.

Professional Service

Program committee of MICCAI’2015, CAIP’2015, CCIA’2015, etc.

Local area chair at CVPR’2014.

Local area chair of ICPR’2014.

Special sessions chairwomen of ICME’2014.

Chairwomen of Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT), Workshop at MICCAI’2014.

Program committee member of: CBMS 2019, APPIS 2019, SITIS 2018, MMM 2019, CAIP2019, CAEPIA 2018, CCIA 2018, SITIS 2018, MADiMa2018, CompIMAGE’18, MLDM 2018, APPIS 2018, ISCSA2017, MMWorkshop17, SSPandBE 2017, NFQS3, CCIA 2017, CBMS2017, WBICV2017IBPRIA’17, WiML’2016, CIARP’2016, CCIA’2016, DATRA’2016, CompIMAGE’2016, LTA’2016, MLPRA’2016, CCIA’2015, CIAPR’2014, CIARP’2014, AMDO’2012, CAIP’2013, CCIA’2014, CIARP’2012, CIARP’2014, CAIP’2015, CAIP’2013, JCC’2013, JCC’2014, MCPR’2013, MICCAI-STENT’2013, MICCAI-STENT’2012.

Petia Radeva has been the honorable chair of ICMV 2018, ICMV 2017, ICMV 2016, ICMV 2015, ICMV 2014, and invited speaker at AMDO’2014, CAIP’2015, CEIG’2003, etc.

Press

Petia Radeva: «La transferència de coneixement és un motor de motivació per als investigadors», interview from the Fundació “Bosch i Gimpera”, May, 2016, Barcelona.

El CST rep una beca per la investigació en malalties neurodegeneratives“, terassadigital.cot, 31 d’Octubre, 2014.

“Convertir las 8 horas de película de la endoscopia sin cable en un ‘corto'”, El Mundo, April, 9th, 2014.

elmundo

Algoritmos de visión artificial para la salud coronaria“, 08/01/2014, ingenieros.es, Portal de ingenieros superiores.

“Algorithms of computer vision for coronary health”, UB, 2014.

UB premia estudis de neurolingüística i de nanotecnologia per vèncer càncer“, La Vanguardia, Desember 12, 2013.

La UB reclama més inversió pública per transferir el coneixement de les universitats“, EuropaPress, Desember 12, 2013.

Links of interest:

http://quantifiedself.com

Quantified Self companies