Invited Speakers

Dr. Juan C. Moreno

 

Dr. Juan C. Moreno (male) was born in Bogotá, Colombia, in 1978. He received the PhD degree in Industrial Engineering from the School of Industrial Engineering (ETSII) of the Technical University of Madrid (UPM), Spain, in 2006. In 2001, he joined the Spanish National Research Council (CSIC) as technical assistant and junior researcher in the Industrial Automation Institute. Currently Head of Human Locomotion Laboratory (Neural Rehabilitation Group) in Cajal Institute at CSIC. After obtaining his PhD, he co-founded CSIC’s start-up company Technaid S.L., were he held a position as Postdoctoral researcher, continuing his research line activities in the framework of European projects. In 2008, he assumed the current position at the Bioengineering Group (GBIO) of CSIC, as leader of projects in Gait Neurorehabilitation. His main research interests include signal processing, pattern recognition, electromechanical design problems in biomedical engineering, system modelling and identification, functional electrical stimulation (neuroprosthetics), rehabilitation robotics and specially its optimization for the neurological rehabilitation after stroke and spinal cord injury, unobtrusive motion capture, analysis and synthesis of neural control of human walking and biomechanical simulations. Institute of Electrical and Electronic Engineers (IEEE) Member since January 2012. He was the recipient of TR35 Spain 2012 Award by Massachusetts Institute of Technology’s journal, Technology Review for his work on technology for a more efficient rehabilitation of people with limited mobility. In 2011 he received Princess Infanta Cristina Award by the Spanish Institute for Older People and Social Services in the research, development and innovation category for his work on intelligent gait orthoses.

 

Title: "Challenges in control of wearable exoskeletons for overground treatment of gait disorders".

 

The talk will discuss the latest progresses and clinical findings of most advanced gait exoskeletons for treatment of neurological diseases that affect human mobility. The particular approach adopted in the BioMot exoskeleton to exploit dynamic sensory-motor interactions to improve the interaction of a human with a wearable robot will be presented. The research and results of application of a cognitive architecture for wearable robots exploiting neuronal control and learning mechanisms will be presented and discussed.

 


 

Prof. Dr. Klaus Schilling

 

Prof. Dr. Schilling had in space industry responsibility in Earth observation and interplanetary satellites (including HUYGENS to the Saturnian moon Titan, ROSETTA for exploration of comets, Mars Rovers). After coordination of ROSETTA system definition studies, he followed the mission now for more than 25 years. He was 2003 appointed professor and chair for Robotics and Telematics at University Würzburg. In parallel he is president of the research company „Center for Telematics“. His team built the first German pico-satellite UWE-1, launched 2005 to optimize Internet in space. He published more than 300 papers and received several awards, including the Walter-Reis-Award for Robotic Innovations 2008 (for research in mobile robotics) and 2012 (for medical robotics), as well as an Advanced Grant of the European Research Council (highest valued European Research Award) for research on control of networked distributed satellite systems. He is full member of the International Academy of Astronautics and was appointed as Consulting Professor at Stanford University 2002-2006. In international professional societies he served in IEEE and IFAC as chairman of Technical Committees on Networked Robotics, Telematics and Aerospace. Currently he is in IFAC coordinating chair for the area “Computers & Control”

 

Title: "ROSETTA: the control aspects to rendez-vous, land and drill on a comet"

One of the most interesting places in our solar system was 2014/2015 moving between the orbits of Jupiter and Earth, when the European space probe ROSETTA had a rendezvous with the comet 67 P Churyumov-Gerasimenko. In November 2014 the PHILAE lander had been separated from the mother spacecraft and landed remotely controlled from a distance of 500 Mio km with high accuracy on the surface of the comet. The unconventional landing ended due to actuator malfunctions in a very interesting cliff, where the foreseen measurements were nevertheless well performed. ROSETTA accompanied the comet in near distance during the year 2015, including its passage of closest distance to the Sun in order to observe the development of its tail. This way sublimated pristine materials from the core of the comet could be characterized, providing information from the period when our solar system formed. Scientific journals like „Science“ and „nature“ selected the pioneering ROSETTA mission as scientific top event of the year 2014. In this presentation, the control aspects of this challenging and complex international mission will be emphasized and the fascination of space exploration will be illustrated by pictures from this bizarre comet.

 

Outgassing activities of comet 67 P Churyumov-Gerasimenko in near range observations from ROSETTA (image courtesy of ESA)

 

ROSETTA delivering the landing probe PHILAE to comet 67 P Churyumov-Gerasimenko (image courtesy of ESA)

 


 

Prof. Sérgio Bacelar

 

Sérgio works at the Department of Demographic and Social Statistics of Statistics Portugal where he is responsible for the production of the Well-being index of Portugal. He has been working in Statistics Portugal since 1999, mainly on statistical metadata, regional statistics studies and official statistics dissemination. He has a degree in economics by University of Porto and in Sociology by the University Institute of Lisbon and has been teaching and researching for more than 20 years in areas related to social sciences methods, statistics and organizational behavior at the Faculty of Economics, University of Porto. His main research interests are computational social sciences and well-being or quality of life research. The main areas of applications are retirement pension systems, well-being and official statistics. He has published on well-being (International Statistical Institute, UNECE, Kairós), computational social sciences (European Conference on Complex Systems), statistical metadata (UNECE/Eurostat/OECD) and regional statistical studies. He has been coordinator of the project ESSnet on SDMX (Statistical Data and Metadata Exchange), Eurostat, member of the SDMX “Metadata Task Force” at Eurostat and member of the Common Metadata Framework Task Force at United Nations. He also participated in the project “Rainbow - An Object Network for Statisticians and Administrators” of the European Commission Telematics Applications Programme.

 

Title: Statistical evaluation of human well being.

 

We will present the rational and recent efforts of official statistics to produce a statistical evaluation of human well-being. As well-being is a multidimensional concept, difficult and complex to define, its measurement needs a robust conceptual definition and a process that relates concepts to reality with the help of careful chosen and available indicators. This effort to measure and present statistical information about well-being at national level has also been a task for Statistics Portugal since 2013. Statistics Portugal releases each year data about the evolution of each well-being domain from 2004, indexes summarizing the evolution of Material living conditions and Quality of life and a global Well-being index. We will discuss the options followed to design these composite indicators.

 

Important Dates

Submission:
(extended)

February 5, 2016

Notification:

May 6, 2016

Early Registration:

May 20, 2016

Camera Ready:

June 3, 2016

Registration Limit (Paper Publication):

June 3, 2016

Conference:

September 14-16, 2016

Organized by:

Centro Algoritmi       Centro de Engenharia da Universidade do Minho

APCA - Associação Portuguesa de Controlo Automático

 Co-sponsored by:

 

Partner Institutions:

CEA           

sociedade portuguesa para o ensino de engenharia

SPA

Support:

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