​"Hacia Robots más autónomos"

Dr. Eduardo Morales, Investigador Titular, Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Investigador Nacional Conacyt Nivel 3, 16 de mayo 2019, Sala de Conferencias ITAM-Río Hondo

Resumen:

Con la creciente incorporación de robots en la vida diaria, aspectos como autonomía e interacción de robots con no expertos, están cobrando gran relevancia. En esta plática vamos a describir dos desarrollos en el INAOE buscando esos objetivos. Primero vamos a describir cómo una persona puede entrenar a un robot a realizar una tarea simple combinando ideas de programación por demostración, aprendizaje por refuerzo y retroalimentación del usuario. En la segunda parte de la plática vamos a describir como un robot puede, de manera autónoma, obtener información de Internet para aprender un modelo en línea para reconocer un objeto desconocido y también para decidir dónde buscarlo en un ambiete tipo casa.

Bio:

Egresadode Ingeniería Física de la UAM-Azcapotzalco, cuenta con una maestría en Inteligencia Artificial de la Universidad de Edimburgo y un doctorado en Computación del Turing Institute –Universidad de Strathclyde, en Escocia. Es miembro del Sistema Nacional de Investigadores del Conacyt Nivel 3 y miembro de la Academia Mexicana de Ciencias.

Fue investigador visitante del Electric Power Research Institute, en California, trabajo en el Instituto de Investigaciones Eléctricas, en Cuernavaca, fue consultor técnico del Proyecto europeo “The Machine Learning Toolkit”, profesor visitante de la Universidad de New South Wales, en Australia, y profesor-investigador del Tec de Monterrey –Campus Cuernavaca. Actualmente es investigador Titular C del Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) en Puebla en donde realiza investigación en aprendizaje computacional y robótica.

​"Diseño de Hospitales de Rehabilitación Física"

Dr. Alejandro Terán S., Candidato a Doctor en Ingeniería Industrial, Auburn University, 12 de marzo de 2019, Sala de Conferencias, ITAM-Río Rondo

Resumen: 

El diseño de instalaciones es un problema clásico en ingeniería industrial. El enfoque, naturalmente, ha sido el diseño de fábricas y almacenes, con el objetivo de reducir los costos de operación y movimiento de materiales. Las pocas incursiones en ámbitos más allá de la manufactura han sido limitados por la ausencia de modelos que capturen los requerimientos y objetivos propios del sector salud. La presente investigación describe un par de modelos de diseño de hospitales centrado en el paciente, es decir, en el que los diseños buscan ser tales que mejor apoyen el cuidado de los pacientes. El modelo hace uso de la teoría y las técnicas de Space Syntax para describir relaciones espaciales que soporten los objetivos operacionales del hospital. El primer modelo produce un diseño de bloques en el que se definen las dimensiones y posiciones de los distintos departamentos dentro del hospital. El segundo modelo construye una red de pasillos para un diseño de bloques dado.
Discutiremos la relación entre las métricas espaciales usadas en el primero modelo y los pasillos resultantes en el segundo. La metodología utilizada para resolver el primer modelo es una búsqueda tabú, mientras que el segundo se resuelve como un programa de enteros.

Bio:

Alejandro Terán Somohano es egresado de Ingeniería en Computación por el ITAM. Obtuvo una maestría en Ingeniería Industrial por la Universidad de Auburn en Estados Unidos, y está por concluir su doctorado en Ingeniería Industrial en Auburn. 

​"Biopolymer Degradation Models: A Research to Design, Test and Estimate Lifetime of Biopolymer Under Accelerated Degratation Conditions"

Dr. Elias Arias, New Mexico State University, 28 de febrero de 2019, Salón SA-4, ITAM-Río Hondo

Abstract:

A synergetic research project in biopolymer degradation is studied and new models are designed to provide reliable data. First, the selection of biopolymer. A second phase was the production of specimens/samples that satisfy a variety of ASTM. A third phase in the experimentation was the accelerated testing of the biopolymer´s specimen. The fourth stage includes the analysis of results, using multivariate analysis statistical tools; and finally, the creation of degradation models that will estimate the lifetime of biopolymers. The findings indicated that the models proposed can be used as a tool for characterization of the material regarding the durability of the biopolymer as an engineering material. It is a essential to undertand material behavior, specially in term of reliability and durability. One important output of this research is that one model was created for each response, tensile, flexural, color and weight changes. Having multiple models allow deciding which parameter is critical in the characterization of the material.

Bio:

Elias Arias graduated with a Ph.D. in Industrial Engineering and doctoral minor in Applied Statistics from New Mexico State University. His dissertation research is in the areas of quality, manufacturing, and reliability. During his doctoral studies he worked in several project funded and in collaboration with the U.S. Department of Agriculture, he also participated in two international competitions organized by General Motors as a peer leader. He obtained his bachelor´s degree from the Instituto Tecnológico de Ciudad Guzmán, and his master´s degree in Industrial Engenieering from the Instituto Tecnológico de Celaya.

​"Social and Data Analytics for Commnunity Resilience"

Dr. José Emmanuel Ramírez-Márquez, Director of the Enterprise Science and Engineering Division School of Systems & Enterprises Stevens Institute of Technology, 19 de febrero de 2019, Sala de Conferencias ITAM-Río Hondo

Abstract:

In this presentation I will discuss work being done at visdec.org at Stevens Institute of Technology to advance the state of the art in the area of resilience engineering and its applicability to areas not traditionally considered. For example, applying the concept of resilience to text analytics, particularly topics in the news media, allowed us to create a framework that measures the impact that real life events have in social media. Our framework consists of three parts: i) proposing a mathematical model of resilience to relate events to their effects in general, ii) propose a text narrative model and estimation tools to understand how topics are dealt with in single articles and finally, iii) combining the resilience model with the narrative model and other network tools to create a new topic resilience model that can be used to measure not only the quantitative effects of real live events, but also the manner they spread in news media.

Bio:

Dr. Jose Emmanuel Ramirez-Marquez is Director of the Enterprise Science and Engineering Division and Associate Professor in the School of Systems & Enterprises at Stevens Institute of Technology. A former Fulbright Scholar, he holds degrees from Rutgers University in Industrial Engineering (Ph.D. and M.Sc.) and Statistics (M.Sc.) and from Universidad Nacional Autónoma de México in Actuarial Science. His research efforts focus on the development of mathematical models  for the  analysis and computation of system operational effectiveness; reliability and vulnerability analysis as the basis for designing system resilience. He also works at the intersection of evolutionary computation for the optimization of complex problems associated with system performance and design. In his most recent work, he has explored the interplay between data visualization and analytical decision making. In these areas, Dr. Ramirez-Marquez has conducted funded research for both private industry and government and, has published over 100 refereed manuscripts in technical journals, book chapters and industry reports. Dr. Ramirez-Marquez has presented his research findings nationally and internationally in conferences such as INFORMS, ISERC, INCOSE, CESUN and, ESREL. He has served as the President of the Quality Control and Reliability division board of the Institute of Industrial and Systems Engineers. He is a member of the Technical Committee on System Reliability for the European Safety and Reliability Association and Associate Editor of the IISE Transactions. He can be contacted at jmarquez@stevens.edu

​"Oportunidades de Maestría y Doctorado en Industrial & Systems Engineering, Texas A&M University"

Dr. Alfredo García, Associate Department Head of Graduate Affairs, 8 de febrero de 2019, Salón SA-1 ITAM-Río Hondo

Resumen:

Reclutar estudiantes para cursar la maestría o el doctorado en la ingeniería industrial en Texas A&M University. Cabe mencionar que el departamento de Ingeniería Industrial en Texas A&M University abarca cuatro áreas incluyendo sus interacciones/intersecciones: investigación de Operaciones (Procesos Estocásticos y Optimización), Sistemas de Información (Ciencias de Datos), Manufactura (Manufactura Aditiva, Control de Calidad, y Automatización), Human Factors (Ergonomía y Sistemas Cognitivos-Interacción Humano-máquina).

​"Exploring Relations in Structured Data with Functional Maps"

Dr. Maks Ovsjanikov, Professor at Ecole Polytechnique in France, 28 de enero de 2019, Salón 301 ITAM-Río Hondo

Abstract:

In this talk I will describe a set of efficient computational methods for analyzing, quantifying and exploring relations and variability in data sets, such as cellections of 3D shapes, point clouds, and large networks or graphs, among others. The main unifying theme of this work is that many concepts in data analysis can be considered through the lens of finding relations between real-valued functions using spectral methods. Since real-valued functions can be defined on a wide variety of data representations and, as the enjoy a rich algebraic structure this approach results in both general and efficient computational methods. I will give an overview of these and related techniques and demonstrate, in particular, their use in solving practical problems, including finding both correspondences and differences between 3D shapes.

Bio:

Maks Ovsjanikov is a Professor at Ecole Polytechinique in France. He received his PhD from Stanford University with an Excellence in Research Award form the Institute for Computational and Mathematical Engineering for his work on spectral methods in shape comparision. He works on 3D shape analysis with emphasis on shape matching and correspondence. He has received a Eurographics Young Research Award in 2014 "in recongnition of his ouststandign contributions to theoriacal foundations of non-rigid shape matching". He has served on the technical program committees of international conferences including SIGGRAPH and SIGGRAPH Asia, is a member of the editorial board of Computer Graphics Forum and has co-chaired the Symposium on Geometry Processing in 2016. In 2017 he received an ERC Starting Grant from the European Commission and Bronze Medal from the French National Center for Scientific Research (CNRS) in 2018.