Biography

Juan-Manuel Ahuactzin received his Bachelor’s degree in computer systems engineering from the Universidad de las Americas, Puebla (UDLAP) Mexico in 1989, and the M.S. and Ph.D. degrees in Computer Science from the Institut Polytechnique National de Grenoble (INPG), France in 1991 and 1994, respectively.

During 1994-95, he worked as a postdoctoral fellow in the robotics group at Simon Fraser University (SFU), Canada. He continued to be an associate researcher at SFU during the summers from 1996 to 2000.

From 1995 to 1999 Dr. Ahuactzin had a permanent position in the Computer Systems Engineering Department at UDLAP Mexico. He was a Conacyt-SNI (Mexican NSF) national researcher, from June 1996 to Jun 2002.

From January 2000 to 2005 he was an Invited Researcher an research engineer at INRIA Rône-Alpes. From January 2002 to October 2005 he participated in the European research project Bayesian Inspired Brains and Artefacts (BIBA) by developing several application using the Bayesian Technology and the Bayesian Engine ProBT.

Dr. Ahuactzin is co-founder of the Probayes Company, a spin-off of INRIA, where he was Research Director from 2005 to 2010. From August 2010 Dr. Ahuactzin is the CEO of Probayes Americas the Mexican branch of the Company.

He directs and co-direct divers technological research projects and developments for the industry. Since 2000, Dr. Ahuactzin actively participates in the French-Mexican Image & Robotics network, he has a large international experience in higher education, research and development for the industry. He is author and co-author of divers journals articles and book chapters mainly in the areas of robotics and Bayesian reasoning.

His research areas includes: Bayesian technology, data mining, machine learning, stochastic systems, optimization techniques under high dimensional spaces and geometric reasoning. On application software Dr. Ahuactzin is interested in the following subjects: diagnosis and prediction under uncertainty, decision and risk analysis, health care, pattern matching and robotics.