Speakers

University of Guadalajara

Nancy Arana Daniel received her Ph.D. in Science from CINVESTAV, Guadalajara Unit. She is currently a Professor–Researcher in the Department of Computer Science at CUCEI, University of Guadalajara, Mexico. She is a Level 3 member of the Mexican National System of Researchers (SNI), an IEEE Senior Member, and a member of the Mexican Academy of Sciences as well as the International Association for Pattern Recognition (IAPR). She has published more than 90 international conference papers, over 50 journal articles, 30 book chapters, and five books with internationally recognized publishing houses. She serves as Associate Editor of the Journal of the Franklin Institute, Franklin Open, and IEEE Latin America Transactions. She is also an international evaluator of research projects for the Netherlands Organisation for Scientific Research (NWO), the Spanish R&D certification body EQA, and SENACyT of Panama, among others. She has led multiple research and innovation initiatives in Artificial Intelligence, bridging fundamental research with real-world applications in robotics, smart agriculture, and intelligent perception systems. Her work has resulted in patented technologies and technology transfer processes, contributing to the development of AI-driven solutions with validated field deployment. Her research interests include machine learning, geometric algebra, pattern recognition, robotic navigation, and bio-inspired optimization algorithms.

Center for Research in Mathematics (CIMAT)

Arturo Jaramillo Gil is a researcher at the Center for Research in Mathematics (CIMAT), Guanajuato, Mexico. He obtained his PhD in Mathematics from the University of Kansas in 2018, where he worked in stochastic analysis and Malliavin calculus under the supervision of David Nualart. From 2018 to 2020, he held a joint postdoctoral position at the University of Luxembourg and the National University of Singapore, collaborating with Ivan Nourdin, Giovanni Peccati, Adrian Röllin, and Louis H.Y. Chen on limit theorems and Stein’s method. His research interests include stochastic analysis, Malliavin calculus, Stein’s method, fractional Brownian motion, random matrices, probabilistic number theory, and applications of optimal transport to problems in statistics.

Universidad Nacional Autónoma de México (UNAM)

Saraí Hernández-Torres is a researcher at the Institute of Mathematics at UNAM. She completed her undergraduate studies at the University of Guanajuato and CIMAT, and obtained her PhD from the University of British Columbia under the supervision of Omer Angel and Martin Barlow. She then held a postdoctoral position at the Technion – Israel Institute of Technology. Her research focuses on the emergent behavior of stochastic processes on discrete structures. In 2024, she received the L’Oréal–UNESCO–Mexican Academy of Sciences Fellowship for Women in Science.

University of California, Los Angeles.

Oscar Madrid Padilla is a tenure-track Assistant Professor in the Department of Statistics at the University of California, Los Angeles. He previously served as a Neyman Visiting Assistant Professor in the Department of Statistics at the University of California, Berkeley, from July 2017 to June 2019. He received his Ph.D. in Statistics from The University of Texas at Austin in May 2017 under the supervision of Prof. James Scott, and his B.S. in Mathematics from CIMAT (Mexico) in April 2013 under the guidance of Prof. Daniel Hernández-Hernández. He currently serves as an Associate Editor for the Journal of the Royal Statistical Society Series B and the Journal of Computational and Graphical Statistics.

INRIA

Samir M. Perlaza is a permanent member of the scientific staff at INRIA, the French Institute for Research in Computer Science and Applied Mathematics; a visiting research collaborator in the Department of Electrical and Computer Engineering at Princeton University; and an associate researcher in the Mathematics Laboratory GAATI at the University of French Polynesia. He received the M.Sc. and Ph.D. degrees from École Nationale Supérieure des Télécommunications (Telecom ParisTech) in 2008 and 2011, respectively.  From 2008 to 2011, he was also a research engineer at France Télécom - Orange Labs (Paris, France). He was a postdoctoral researcher in the Alcatel-Lucent Chair in Flexible Radio at Supélec in 2011 and at Princeton University in 2012 - 2013. Dr. Perlaza's research interests are in the areas of information theory, game theory, data sciences, and their applications in wireless networks, power systems, and artificial intelligence. Among his publications in these areas is the book ‘‘Advanced Data Analytics for Power Systems’’ (Cambridge University Press, 2021). Dr. Perlaza has served as an Editor of the IEEE Transactions in Communications and the IET Smart Grid Journal.  Recognition of his work includes the Alban Fellowship and the Marie Sklodowska-Curie Fellowship, both from the European Commission.

Columbia University

Cynthia Rush is an Associate Professor in the Department of Statistics at Columbia University who received her Ph.D. in Statistics from Yale University and completed her undergraduate coursework in Mathematics at the University of North Carolina at Chapel Hill. Her research uses tools and ideas from information theory, statistical physics, and applied probability as a framework for understanding modern challenges related to learning from data in fields of statistics, and machine learning.

Instituto Politecnico Nacional

Dr. Eliseo Sarmiento is a Full Professor of Mathematics at the National Polytechnic Institute (IPN), Mexico. His research focuses on coding theory and algebraic methods in information theory, with contributions to algebraic–geometric codes, generalized Hamming weights, and polar codes. In recent years, he has also worked on statistical modeling and applied machine learning techniques in signal processing and secure communication systems, including post-quantum cryptographic protocols and structured interference suppression. He has published in venues such as IEEE Transactions on Information Theory and leads funded research projects on post-quantum security. He is a National Researcher (Level II) in Mexico’s National System of Researchers.

Instituto Nacional de Astrofísica, Óptica y Electrónica

L. Enrique Sucar has a Ph.D. in Computing from Imperial College, London, 1992; a M.Sc. in Electrical Engineering from Stanford University, USA, 1982; and a B.Sc. in Electronics and Communications Engineering from ITESM, Mexico, 1980. He has been a researcher at the Electrical Research Institute, a professor at ITESM, and is currently Senior Research Scientist at the National Institute for Astrophysics, Optics and Electronics, Puebla, Mexico. He has been an invited professor at the University of British Columbia, Canada; Imperial College, London; INRIA, France; CREATE-NET, Italy; and the Institute for Astrophysics of Canarias, Spain. He has more than 400 publications and has directed more than 100 Ph.D. and M.Sc. thesis. Dr. Sucar received the National Science Prize from the Mexican President; is Member Emeritus of the National Research System, Life Senior Member of IEEE, and member of the Mexican Science Academy. He is associate editor of the Pattern Recognition, Computational Intelligence and Frontiers in Rehabilitation journals, and has served as president of the Mexican AI Society and the Mexican Academy of Computing. His main research interest are in probabilistic graphical models, causal reasoning and their applications in robotics, computer vision, astrophysics and biomedicine.