Prof. José Manuel Fonseca
Universidade Nova de Lisboa, Portugal
José Manuel Matos Ribeiro da Fonseca was born in 1962, Lisbon, Portugal. Obtained his PhD on Electrical Engineering specialty Robotics and Integrated Manufacturing by Universidade Nova de Lisboa, 10th May 2001 and his Aggregation on 22th January 2016. He his Associate Professor with Tenure on the School of Science and Technology of the NOVA University of Lisbon since 1992, and member of the Electrical Engineering Department since its foundation on 1993. Has been responsible for several courses in the area of sensorial processing and real-time processing. Since its PhD supervised five PhD Thesis, 56 MSc Thesis and 35 Final Diploma Projects. He has participated on more than ten European Projects as researcher and coordinator of the FCT/UNL participation. Was leader of taskforce eDelivery and leader of the workpackage Integrating Support Activities on the Network of Excellence “BIOPATTERN - Computational Intelligence for BioPattern Analysis to Support eHealth” FP6-2004-IST-2-508803 from 2004 to 2008. Published more than 150 papers, founded a spin-off company and is co-author of a National Industrial Patent.
Keynote Speaker II
Prof. Ralf Hofestädt
Bielefeld University, Germany
Prof. Ralf Hofestädt studied Computer Science and Bioinformatics at the University of Bonn. He finished his PhD 1990 (University Bonn) and his Habilitation (Applied Computer Science and Bioinformatics) 1995 at the University of Koblenz. From 1996 to 2001, he was Professor for Applied Computer Science at the University of Magdeburg. Since 2001, he is Professor for Bioinformatics and Medical Informatics at the University Bielefeld. The research topics of the department concentrate on biomedical data management, modeling and simulation of metabolic processes, parallel computing and multimedia implementation of virtual scenarios.
Keynote Speaker III
Prof. Andre Ribeiro
Tampere University of Technology, Finland
Andre Ribeiro (andre.ribeiro AxT tut.fi) is a Professor at University of Tampere, Finland. He was born in 1976, graduated in Physics in the University of Lisbon (1999), and has a PhD in Physics Engineering from IST, Technical University of Lisbon, Portugal (2004). From 2004-07, he was a Postdoc at the University of Calgary, Canada. Since 2008, he is the PI of the Laboratory of Biosystem Dynamics (LBD) at Tampere University of Technology, Finland. Since June 2017, he is a Professor at the BiomediTech Institute, TUT. His studies focus on the in vivo dynamics and regulatory mechanisms of bacterial gene expression and genetic circuits at the single-cell, single-molecule level using time-lapse microscopy, stochastic models, molecular biosensors, single-cell signal processing, and synthetic gene engineering. The aims are to understand how genes and genetic circuits are regulated and unravel their range of functionalities, thereby assisting in the comprehensive engineering of synthetic circuits for regulating cellular processes. He also studies the biophysics inside cells, to better understand their spatial-dynamics organization.
Keynote Speaker IV
Dr. Gert E Nilsson
Wheelsbridge AB, Sweden
Gert E Nilsson is the founder and president of Wheelsbridge AB that developed and brought the Tissue Viability Imaging technology to market. He is former professor of Biomedical Instrumentation at the Department of Biomedical Engineering, Linköping University, Linköping, Sweden and inventor of the Evaporimeter (EP1) for measurement of transepidermal water loss, the Laser Doppler Flowmeter (Periflux) for monitoring of skin blood flow, the Laser Doppler Perfusion Imager (PIM) for mapping of tissue microcirculation and the Tissue Viability Imager (TiVi) for assessment of erythema and blanching and other skin parameters. Dr. Nilsson has served as head of the Department of Biomedical Engineering, Linköping University, 1990 – 1993, coordinator for the EU-project High Resolution Laser Doppler perfusion imaging dermatology (HIRELADO), 1995 – 2000 and director for the Competence Centre NIMED at Linköping University 2002-2005.
Speech Title: "Using the Digital Camera as a Transducer for Assessment of Skin Parameters"
Abstract: Although skin care product candidates should be carefully tested for both safety and efficacy prior to being released on the market, far-reaching claims associated with the performance of these new products are frequently difficult to substantiate. This is primarily due to a lack of suitable technologies capable of accurately assessing alterations in skin properties effectively at the point of sales as well as in the laboratory. Polarisation Spectroscopy Imaging (SPI) – utilizing high-end digital cameras - is an emerging technology that maps the microcirculation of the skin and other dermal properties by looking beneath the surface layer and capturing sub-epidermal images. This technology, also known as Tissue Viability Imaging (TiVi), employs a methodology uniquely capable of profiling the selective light-absorption behaviour of haemoglobin molecules present in red blood cells. These molecules absorb a significantly greater proportion of light in the green wavelength band compared to that of the surrounding tissue. In this respect, haemoglobin molecules are reliable biological markers for mapping and quantifying skin erythema and blanching. SPI is particularly useful for assessing cosmetic and personal care safety, efficacy and consistency with regulatory guidelines.
Invited Speaker I
Prof. Kolyo Onkov
Agricultural University, Bulgaria
Prof. Kolyo Onkov has graduated from Technical University in Prague, Czech Republic and received doctoral degree from Czech Academy of Sciences, Institute of Information Theory and Automation. Since 2012 he is Professor of Computer Science. The research interests of Prof. Kolyo Onkov are focused on concepts for hierarchical structuring and analysis of multidimensional time series databases in agriculture and demography. He has developed and applied data mining algorithms and statistical software techniques to study fish species at risk and biodiversity. Prof. Kolyo Onkov also works on integrating and modelling expert chemical and biological information used in Plant medicine (Phytopharmacy). He always strives to find practical solutions to transform heterogeneous, semi-structured chemical and biological data into intelligent computer based system. Prof. Kolyo Onkov has published 3 books and more than 65 scientific papers. He has supervised 4 PhD students in Computer science and assisted to PhD students in natural and agricultural sciences on data processing and analysis.
25 March, 2019
Paper Acceptance Notification:
10 April, 2019
Camera-ready Paper Submission:
25 April, 2019
Conference Date: 29-30 May, 2019
Academic Visit: 31 May, 2019