TECHNICAL PROGRAMM COMMITTEE
Dr. Ing. Diego Comas
Dr. Ing. Diego Comas
Diego Comas is an Electronics Engineer received in 2010 from the Faculty of Engineering of the National University of Mar del Plata (FI-UNMDP), Argentina, and a Doctor of Engineering, electronic orientation received at the same Faculty in 2016. He is a researcher at the Laboratory of Image Processing (LPI) of the Institute of Scientific and Technical Research in Electronics (ICyTE, dependent on the UNMDP and CONICET) and an Assistant Researcher at CONICET, Argentina, specializing in medical image segmentation, knowledge discovery, Fuzzy Logic, Deep-Learning and acquisition and processing of biomedical signals. He is an Associate Professor, of exclusive dedication, of the Department of Electronic Engineering and Computing of the FI-UNMDP, with teaching tasks in the subjects “Probability and Stochastic Processes”, and “Introduction to Digital Image Processing” and the postgraduate course “Recognition of images with Machine Learning”. He carried out research stays at the Center for Advanced Studies in Information and Communication Technologies (Jaén, Spain); the Computational Modeling Laboratory – Vrije Universiteit Brussel (Brussels, Belgium), and the Institute of Mathematics and Statistics (IME) – University of São Paulo (São Paulo, Brazil; May 2012).
Dra. Ing. Virginia Ballarin
Dra. Ing. Virginia Ballarin
Virginia Laura Ballarin is Electronic Engineer and PhD in Bioengineering. She is Full Professor in Signal Processing area at the Electronics Engineering Department of the Universidad Nacional de Mar del Plata (UNMDP), Argentina and Director of the Image Processing Research Group at Research Institute of Science and Technology in Electronics (ICYTE). (Research category 1).
PhD. Anselmo Frizera
Anselmo Frizera-Neto holds a bachelor’s degree in Electrical Engineering (2006) from the Federal University of Espirito Santo (UFES, Brazil) and a PhD (2010) in Electronics from the University of Alcalá (UAH, Spain). Between 2006 and 2010, he worked as a pre-doctoral researcher at the Bioengineering Group at the Spanish National Research Council (CSIC, Spain). Since 2010, he has held a permanent position as a Professor of the Electrical Engineering Department at UFES. He acted as the Adjunct Coordinator of the Graduate Program in Electrical Engineering for two terms. From 2014 to 2018, he served as a Member of the Board of Asociación Iberoamericana de Tecnologías de Apoyo a la Discapacidad (AITADIS), contributing to support the dissemination of knowledge in the area of assistive technologies in countries of Latin America and the Iberian Peninsula. Currently, he is the Coordinator of the Brazilian Research Group on Brain and Cognitive Engineering (BRAEN), a multidisciplinary group of experts in Engineering, Medicine and Psychology that aim at modeling and studying the human brain. In his career as a researcher, Prof. Frizera-Neto has published more than 300 scientific articles, of which more than 140 are publications in international scientific journals. He worked in the training of masters and doctors in institutions in Brazil, Argentina, Italy, and Portugal. He has experience in Electronics, Photonics and Biomedical Engineering. His research interests and areas of expertise are rehabilitation robotics for assisting cognitive and motor impairments, development of optical and electronic sensors for human-machine interfaces, biomedical signal processing and smart textiles.
The Bioengineering program is tightly related to IEEE-EMBS (Engineering in Medicine and Biology Society). Fields of interest are the development and application of engineering concepts and methods to biology, medicine, and health sciences to provide effective solutions to biological, medical, and health problems. The field encompasses the development of mathematical theories, physical, biological, and chemical principles, computational models and algorithms, devices, and systems for clinical, industrial, and educational applications.
|For this topic, the following subtopics are suggested. Please note that you may send your paper beyond the scope of this list. To submit the paper follow the instructions Tutorial for Paper Submissions|
- Biomaterials and tissue engineering
- Biomedical Image Processing
- Biomedical Signal Processing
- Clinical engineering and medical technology management
- Education and Bioengineering
- Equipment, instrumentation, sensors and measurements
- Medical informatics
- Models and simulation of biomedical systems
- Rehabilitation Engineering
|996||Age-Stratified Coronary Artery Calcium Levels Quantification Based on Arterial Biomechanical Parameters||Leandro Javier Cymberknop, Nicolas Aguirre, Eugenia Ipar and Ricardo Armentano|
|1420||Simuladores de entrenamiento basados en realidad virtual: Aplicaciones en medicina||Franco Penizzotto, Claudio Rosales and Vicente Mut|
|1629||Model-based Fully Dense UNet for Image Enhancement in Software-defined Optoacoustic Tomography||Martin German Gonzalez and Leonardo Rey Vega|
|2645||A serious game controlled by myoelectric signals for prosthetic use training||Mariano Sosa, Juan Manuel Fontana, Ronald O’Brien, Eric Laciar and Leonardo Molisani|
|3211||Cardiovascular Age and Central Blood Pressure assessment based on Peripheral Blood Pressure Morphology and Artificial Neural Networks||Eugenia Ipar, Nicolas Aguirre, Leandro Javier Cymberknop and Ricardo Armentano|
|5691||Diseño de sensores virtuales con corrección de retardo fisiológico para el monitoreo de glucosa en pacientes con Diabetes Mellitus Tipo I.||Estefania Aguirre-Zapata, Adriana N. Amicarelli, Fernando di Sciascio and Jose Garcia-Tirado|
|6083||Real-time processing of electromyography signals using artificial neural networks||Sebastián Yair Suaid, María Inés Pisarello, Christian Manuel Torres Salinas and Jorge Emilio Monzón|
|6498||Assessment of areas of the vocal space and formants to characterize people with and without Parkinson’s disease.||Monica Giuliano, Luis Fernández, Silvia Noemí Pérez and Alejandro Renato|
|6744||Towards a Low-Cost Non-Invasive Glucose Sensor Using Near-Infrared Spectroscopy: Preliminary Results||Martín Calero, Malena Loza and Diego Benitez|
|8352||Detection of corpora lutea in ovary stained tissue with Deep Learning||Ignacio Bosch, Reyna Der Boghosian and C E Romero|
|8674||Development of a low-cost sEMG Acquisition and processing platform||Valentina Mejía Gallón, Stirley Madrid Vélez and Juan Ramírez|
|8708||Development of an ultrasonic device to control algal of the genus microystis in the San Roque reservoir, Cordona: First steps to evaluation of its effects.||Florencia E. Romero, Araceli Ferreyra, Micaela S. Marasas, Micaela Juaneda Allende, Mauro G. Gómez, Diego C. Constanzo, Guido Marconi, Carlos A. Vitulich, Pedro Ruiz Diaz, Matías L. Ceballos, Santiago A. Rodríguez González, Silvana R. Halac, María V. Amé, María I. Rodríguez and Andrés Rodríguez|