Edgar Chavez is a data scientist, expert in similarity methods for information access. He is a full professor at the CICESE research center in Baja California. He is the leader of the data science group in the Applied Physics Division in CICESE. He had previous appointments as full professor at Universidad Michoacana, and as visiting professor in Universidad de Chile, Universidad Nacional de San Luis in Argentina, the University of Waikato in New Zealand, the Institute of Mathematics in UNAM and the Center for Research in Mathematics (CIMAT) in Guanajuato. He obtained a Phd. in Computer Science from CIMAT in 1999, and he is a member of the National Research System (SNI) since 1996. He has more the 100 refereed publications with more than 3500 citations. In 2009 he obtained the Thompson-Reuters recognition for the most cited paper in computer science in México. He graduated 15 masters and 8 doctors in computer science in programs from Argentina, Chile and México. He has been president of the Mexican Computer Science Society, and is a founder and member of the steering committee of Similarity Search and Applications, a scientific society devoted to similarity methods for information access. He founded a startup for radio media monitoring using a proprietary sound signature and proximity searching methods, and he is currently in the process of founding another startup devoted to inverse search for various multimedia data types.
Gregorio Toscano earned his PhD (2005) in Electrical Engineering at the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), MSc (2001) in Artificial Intelligence at the Vercruzana University, and a BA in Computer Systems Engineering at the Merida Institute of Technology. After his PhD graduation in 2005, Dr. Toscano worked until 2006 as associate professor in the Graduate Program in Systems Engineering at Department of Mechanical and Electrical Engineering, UANL. After this year, he has been working as associate professor of the Graduate Program in Computer Science at the Information Technology Laboratory, CINVESTAV-IPN. In 2015, he spent a year at the COIN Lab at Michigan State University. Dr. Toscano’s main research has focused on methods for solving multi-objective problems using evolutionary computing. He has developed 7 research projects, in 3 of them, he was the leader researcher. Since 2007, Dr. Toscano has supervised 7 MSc and 2 PhD students at CINVESTAV-Tamaulipas. Dr. Toscano has taught Programming Languages (6 times), An Introduction to Evolutionary Computing (6 times), Computational Intelligence (3 times) Mobile Computing (2 times), Engineering Optimization, Selected Topics on Evolutionary Computation, Statistical Methods, and Operations Research. According to the publication “Scientometric mapping of computer science research in Mexico”, Dr. Toscano holds the fourth position with respect to the total of citations in Mexico. Currently, he has published more than 50 articles, which hold more than 3,600 citations, according to Google Scholar. Dr. Toscano has had one of his papers in the Hot Papers List of the ISI Web of Science for being the most highly cited in the last 10 years.