The SPS Summer School on Biomedical Signal and Image processing 2019 is a one-week programme for enthusiastic undergraduate and graduate students interested in the area of biomedical signal and image processing.
It will address, through seminars and practical courses, the following scientific topics:
– Hyperspectral image analysis using deep learning techniques
– Diffusion MRI analysis for the study of brain connectivity
– Thermographical image processing for medical and industrial applications
– Advanced signal processing for physiological signal analysis
Abstract Submission deadline: March 15, 2020
Abstract Acceptance notification: March 23, 2020
Registration deadline: April 13, 2020
Jorge E. Pezoa
Jorge E. Pezoa (S’08-M’10) received his B.Sc. and M.S. degrees in Electronics Engineering and Electrical Engineering in 1999 and 2003, respectively, from the Universidad de Concepción, Concepción, Chile. He received the Ph.D. Degree in Engineering from the University of New Mexico, USA, in 2010. Dr. Pezoa is currently Associate Professor and Associate Chair with the Electrical Engineering Department, Universidad de Concepción. He is a member of the Society of Photo-optical Instrumentation Engineers, IEEE member, the Optical Society of America, and the Association for Computing Machinery. His areas of interest are distributed computing, pattern recognition, statistical signal processing, network optimization, and hyperspectral image and signal processing for industrial processes.
Pamela Guevara is an Electronics Engineer from Universidad de Concepción. She has a Master degree in Medical Imaging and a PhD degree in Physics, both from the Université Paris-Sud, France. She developed her Master and PhD theses in the brain neuroimaging center Neurospin, Saclay, France.
She is currently Associate Professor at the Department of Electrical Engineering, Faculty of Engineering, Universidad de Concepción. She teaches different undergraduate and graduate courses of Computer Programming and Digital Image Processing. She also leads a Medical Image Analysis group with the main focus of the study of brain connectivity.
She has participated as a researcher in several Chilean R&D projects, like FONDECYT, FONDEF, ANILLO and since 2018 she is researcher of the Chilean Advanced Center for Electrical and Electronic Engineering (AC3E). Since 2018 she is an associate member of the IEEE SPS Bio Imaging and Signal Processing (BISP) Technical Committee.
Sebastián E. Godoy was born in Concepción, Chile. He received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Concepción, Concepcion, Chile, in 2006 and 2009, respectively. He received the Ph.D. Degree in Engineering from the University of New Mexico, USA, in 2015. He is currently Associate Professor at the Department of Electrical Engineering, Universidad de Concepción, Chile. His research interests are in the area of algorithms for recognition and classification, image processing, and feature extraction, algorithms for multidimensional imaging using multicolor (e.g., visible and infrared) focal-plane arrays. Dr. Godoy has special interest for spatio-spectral and spatio-temporal algorithms for feature extraction and optimal decision making for medical applications.
Esteban J. Pino
Esteban J. Pino (S’96,A’99,S’02,M’08,SM’14) received the Electronics Engineering degree in 1997, M.Sc. in E.E. degree in 2000 and D.Sc. in E.E. in 2009, all from the Universidad de Concepción, Concepción, Chile.
From 2000 to 2002 he was with Masisa as a project engineer. From 2004 to 2006 he was a research fellow at the Brigham and Women’s Hospital in Boston, MA. In 2004 he joined the Universidad de Concepción and is currently Associate Professor and head of the Biomedical Engineering program at the Electrical Engineering Department. His research interests include unobtrusive sensors for physiological monitoring and biomedical signal processing. He is the author of several book chapters and published articles.
Dr. Pino is a mentor to the IEEE EMBS Biomedical Engineering Student Club at the Universidad de Concepción.
The summer school will take place during 4 complete days, with lectures in the mornings and practical activities in the afternoons. The final program will be uploaded soon.
Biomedical Engineering Laboratory
Faculty of Engineering, Universidad de Concepción, Chile
Edmundo Larenas 219
SPS student members: US$ 10 (8,000 Chilean Pesos)
IEEE student members, SPS members: US$ 20 (16,000 Chilean Pesos)
IEEE members: US$ 30 (24,000 Chilean Pesos)
Students (non SPS or IEEE members: US$ 30 (24,000 Chilean Pesos)
General public: US$ 50 (40,000 Chilean Pesos)
Registration Fee will we paid in place (Concepción, Chile).
Students submitting an abstract will have a reduced Registration Fee of US$ 6 (5,000 Chilean Pesos)
Students with accepted abstracts will be exempt from payment.
The registration must be submitted through the Registration Form.
Registration deadline: April 13, 2020, 11:59 pm.
IEEE Chile Sur section
IEEE Student Branch at Universidad de Concepción
Facultad de Ingeniería, Universidad de Concepción
US$100.00 travel grants to 15 students based on merit and financial requirements, to students presenting an abstract.
Call for abstracts
Abstracts are invited for presentation in both oral or poster format describing ongoing work in the area of Biomedical Signal and Image processing.
Up to 8 abstracts will be selected for presentation in oral format (see Program) and up to 20 abstracts will be selected for poster presentation.
Abstract submission deadline: March 15, 2020, 11:59 pm.
To be accepted, you must send an abstract in IEEE Paper format, of maximum 3 pages (letter size), before the deadline.
Each abstract must be divided into the following three sections:
- Background, Motivation and Objective
- Statement of Contribution/Methods
- Discussion and Conclusions
The authors will be informed of the presentation format after the acceptance notification.
The language of the papers can be English or Spanish.
Authors of accepted abstracts will be notified last days of March 2020.
If you have any questions, please contact by email prof. Pamela Guevara at email@example.com.