Inteligencia artificial: proyecto final

Dr. Carlos Gershenson serves as a SUNY Empire Innovation Professor at Binghamton University and President of the Complex Systems Society (2024-2027). Previously, he was a research professor at UNAM's Institute for Applied Mathematics and Systems Research (IIMAS), where he led the Self-Organizing Systems Laboratory. His academic credentials include a Ph.D. in Sciences (summa cum laude) from the Free University of Brussels, focusing on self-organizing systems, a Master's in Evolutionary and Adaptive Systems from the University of Sussex, and a Computer Engineering degree from the Arturo Rosenblueth Foundation

Dra. Wendy Elizabeth Aguilar Martínez is a researcher in the Department of Computer Science at the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM). She holds a Ph.D. in Computer Science from UNAM and focuses her research primarily on computational creativity, developmental robotics, and pattern recognition. Aguilar Martínez teaches the course "Creatividad Computacional" in the Postgraduate Program in Computer Science and Engineering at UNAM. On Coursera, she instructs courses such as "Creatividad computacional" and "Inteligencia artificial: proyecto final," leveraging her expertise in AI and related fields to guide learners through these topics. Her work is recognized internationally, with significant contributions to artificial intelligence, computational creativity, and developmental robotics

Katya Rodríguez Vázquez is a researcher at the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) at the Universidad Nacional Autónoma de México (UNAM). She holds a degree in Computer Engineering from UNAM and completed her Ph.D. at the University of Sheffield, focusing on multiobjective evolutionary algorithms in nonlinear system identification. Her research areas include evolutionary and bio-inspired algorithms, multi-criteria optimization, and parallel processing, with applications in hydraulic engineering, biology, economics, and more. Rodríguez Vázquez actively participates as a professor and tutor in the postgraduate programs in Computer Science and Systems Engineering at UNAM. She also serves as a referee for national and international journals and conferences related to her research interests. Recently, she has expanded her work into bioinformatics, organizing symposia on computational approaches to biological problems. She is a member of several prestigious academies, including the Mexican Academy of Sciences. On Coursera, she teaches courses such as "Cómputo evolutivo" and "Inteligencia artificial: proyecto final."

Stalin Muñoz Gutiérrez is a Master in Complexity Sciences from the Universidad Autónoma de la Ciudad de México and holds a degree in Computer Engineering from the Facultad de Ingeniería at the Universidad Nacional Autónoma de México (UNAM). His primary area of interest is Artificial Intelligence, where he has been involved in basic research projects since 1995 and teaches related subjects at UNAM's Faculty of Engineering. He is particularly interested in developing technologies for search and rescue tasks and has served as an academic advisor for robotics research projects at UNAM, participating in international competitions like RoboCup. Muñoz Gutiérrez is currently affiliated with the Centro de Ciencias de la Complejidad at UNAM. On Coursera, he teaches courses such as "Inteligencia artificial: proyecto final," "Razonamiento artificial," and "Resolución de problemas por búsqueda," focusing on AI and problem-solving techniques. Additionally, he leads a specialization in "Introducción a la Inteligencia Artificial," which covers various AI concepts and techniques, including machine learning and adaptive behavior.

David A. Rosenblueth is a researcher at the Universidad Nacional Autónoma de México (UNAM). He earned his Ph.D. from the University of Victoria in British Columbia, Canada. His research focuses on logical programming, model verification, and complex systems. Specifically, he has contributed to logical programming areas such as inference systems inspired by syntactic analyzers, inductive logic programming, program transformation, and logic programming applied to genetic regulation. In model verification, he has studied model updating and verification for hidden Markov models, multi-agent systems, genetic regulation, robotics, and embedded systems. Additionally, he has worked on self-organizing traffic light systems in complex systems. On Coursera, Rosenblueth teaches courses like "Inteligencia artificial: proyecto final" and "Razonamiento artificial," focusing on artificial intelligence and reasoning. His expertise spans various computational fields, making him a valuable instructor for students interested in AI and related technologies.