Program Committee

Brief Bio
Nathalia Peixoto received her BSc and MSc degrees in Electrical and Biomedical Engineering from the University of Campinas (Brazil). Her thesis focused on experimental models for migraine waves. During her doctoral work she took part in the German Retina Implant project (University of Bonn). She obtained her Ph.D. in Microelectronics from the University of Sao Paulo, Brazil. Her dissertation was entitled “Neuroelectronic arrays”, and aimed at connecting snail neurons to electronic systems. As a post-doctoral researcher with Stanford University, she investigated microfabricated oxygen senso rs for cardiac cells. Presently she is an Associate Professor of Bioengineering, with the Electrical and Computer Engineering Department, and she directs the Neural Engineering Lab at George Mason University (Fairfax, VA). Her research interests include assistive technology and implantable electrodes for neuro-disorders. For more information please visit: https://ece.gmu.edu/people/full-time-faculty/nathalia-peixoto ... More >>

Brief Bio
Margarida Silveira (M'02) received the E.E. and Ph.D. degrees from the Technical University of Lisbon, Lisbon, Portugal, in1994 and 2004, respectively. Currently, she is an Assistant Professor with the Electrical Engineering Department, Instituto Superior Técnico, Lisbon, and a Researcher at the Institute for Systems and Robotics. Her research interests are in the areas of image processing, computer vision, and pattern recognition. Margarida Silveira (M'02) received the E.E. and Ph.D. degrees from the Technical University of Lisbon, Lisbon, Portugal, in1994 and 2004, respectively. Currently, she is an Assistant Professor with the Electrical Engineering Department, Instituto Superior Técnico, Lisbon, and a Researcher at the Institute for Systems and Robotics. Her research interests are in the areas of image processing, computer vision, and pattern recognition. ... More >>

Brief Bio
Hesham H. Ali is a Professor of Computer Science and the Lee and Wilma Seaman Distinguished Dean of the College of Information Science and Technology (IS&T;), at the University of Nebraska at Omaha (UNO). He currently serves as the director of the UNO Bioinformatics Core Facility that supports a large number of biomedical research projects in Nebraska. He has published numerous articles in various IT areas including scheduling, distributed systems, data analytics, wireless networks, and Bioinformatics. He has also published two books in scheduling and graph algorithms, and several book chapte rs in Bioinformatics. He is currently serving as the PI or Co-PI of several projects funded by NSF, NIH and Nebraska Research Initiative (NRI) in the areas of data analytics, wireless networks and Bioinformatics. He has been leading a Research Group at UNO that focuses on developing innovative computational approaches to classify biological organisms and analyze big bioinformatics data. The research group is currently developing several next generation data analysis tools for mining various types of large-scale biological data. This includes the development of new graph theoretic models for assembling short reads obtained from high throughput instruments, as well as employing a novel correlation networks approach for analyzing large heterogeneous biological data associated with various biomedical research areas, particularly projects associated with aging and infectious diseases. He has also been leading two funded projects for developing secure and energy-aware wireless infrastructure to address tracking and monitoring problems in medical environments, particularly to study mobility profiling for healthcare research. ... More >>

Brief Bio
B.Eng. in Electronic Engineering from the Military Engineering Institute (1989) and Ph.D. in Biomedical Engineering from the Federal University of Rio de Janeiro (2000). He is currently an associate professor at the University of São Paulo and had been working with Biomedical Engineering, with emphasis on signal processing and biomedical instrumentation. It operates on the following subjects: biomedical signal processing, probabilistic models, computationally intensive algorithms, implementations in DSP and FPGA / VHDL. During few years, he was senior engineer-designer in radar and microwave /RF front-end system. ... More >>

Brief Bio
Egon L. van den Broek received a MSc in Artificial Intelligence (AI) (2001), a PhD in Social Sciences (2005), and a second PhD in Electrical Engineering, Mathematics, and Computer Science (2011). Currently, he is assistant professor and research director of the Center for Research on data-driven User eXperience (CRUX) at the Utrecht University, founding partner at Information eXperience (IX) BV, and consultant (e.g., for TNO, Philips, and the United Nations). His interests are on pattern recognition, interaction technology, and affective computing. Egon is Editor-in-Chief of Open Computer Sc ience, Area Editor of Pattern Recognition Letters, Section Editor of Journal of Theoretical and Applied Computer Science (JTACS), and Associate Editor of Behaviour & Information Technology. Further, Egon serves as external expert for various agencies (e.g., European Commission, IWT, and ANR), in conference program committees, on boards of advice, and on several journal editorial boards. He frequently serves as invited/keynote speaker, conference chair, and has received several awards (e.g., recently, the Journal of the Association for Information Science and Technology 2015 best paper award). Egon has published 160+ scientific articles and holds several patents. ... More >>