Séminaire LARIS - Grigore BURDEA suivi par Juan G. VILLEGAS
à 10h00 puis à 11h00 en Amphi E à l'ISTIA
Le 2 juin 2016
Using virtual reality for rehabilitation of motor and cognitive impairments"
Prof. Grigore Burdea - Rutgers University, NJ, USA
Virtual reality is poised to revolutionize the way therapy is administered to a variety of patient populations, from those who survived a stroke, to those with traumatic brain injury, to elderly with dementia. In many areas where conventional Medicine does not have a viable solution, virtual reality has succeeded. Examples are the treatment of Cerebral Palsy, dementia, stroke, even chronic pain. Key to VR success are custom games which adapt to each patient, each day. We will present some prototypes and products as well as clinical results. Some of these results represent medical breakthroughs.
Professor Burdea is full professor at Rutgers University, where he has boon a faculty since 1988. As a pioneer in virtual Reality technology, he created the Human-Machine Interface Lab at the Center for Advanced Information Processing (CAIP) and has several patents in force-feedback devices. Professor Burdea has made significant contributions to the study of the brain’s plasticity. In 2003, one such contribution was his work and research he published on Virtual Rehabilitation—a term he coined to represent the advances he and his team made in the lab with patients who received brain rewiring therapy while playing virtual reality games. Currently, Prof. Burdea is directing the Tele-Rehabilitation Institute, which focuses on remote rehabilitation and has in recent years received notice from around the world. In addition, he is President of Bright Cloud International, a Rutgers spin-off company where his team pioneered an integrative virtual rehabilitation approach, treating both motor and cognitive/emotive disabilities in a single treatment. More information on the Tele-Rehabilitation Institute can be found online @ www.ti.rutgers.edu. Information on Bright Cloud International and its products is at www.BrightBrainer.com.
"An evolutionary strategy for multiobjective reinsurance optimization -
A case study"
Juan G. Villegas- Universidad de Antioquia, Medellin, Colombia
In this work we tackle the reinsurance optimization problem (ROP) from the point of view of an insurance company. The ROP seeks to find a reinsurance program that optimizes two conflicting objectives: the maximization of the expected value of the profit of the company and the minimization of its value at risk (or other measure of risk).
To calculate these two objectives we built a probabilistic model of the portfolio of risks of the company. This model is embedded within an evolutionary strategy (ES) that approximates the efficient frontier of the ROP using a combination of four classical insurance structures: surplus, quota share, excess of lost and stop loss reinsurances.
Computational experiments with the fire risks of a large Colombian insurance company show that the proposed evolutionary strategy outperforms the classical non-dominated sorting genetic algorithm (NSGA-II). Moreover, the use of the ES unveils a set of diverse reinsurance structures representing different trade-offs between the objectives.
Juan G. Villegas est maître de conférences au Département de Génie Industriel à l’Universidad de Antioquia (Medellin – Colombia). Ses sujets de recherche incluent les méthodes exactes, heuristiques et métaheuristiques pour l’optimisation multi-objectif, les problèmes de localisation et les problèmes de tournées de véhicules. Il est depuis 2014 président de la Société Colombienne de Recherche Opérationnelle (ASOCIO).