Victoria Chávez

Division of Exact Sciences
Department of Mathematics

Victoria Chávez

Visiting professor

I hold a Bachelor's degree in Physical-Mathematical Sciences from the UMSNH, a MSc in Applied Mathematics, and a PhD in Mathematics from the UAM-Iztapalapa, where I obtained the University Merit Medal. 

I did a research internship at the Instituto de Investigaciones Eléctricas in Cuernavaca, another at the Center Interuniversitaire de Recherche sur les Reseaux d'Entreprise, la Logistique et le Transport at the University of Montreal, and one more at the Postgraduate Engineering and Systems (PISIS) of the UANL. 

Subsequently, I held a postdoctoral position at PISIS and another at the Faculty of Physical-Mathematical Sciences of the same university to investigate the impact of urban mobility on the spread of the SARS-CoV-2 virus.

I co-directed a master's thesis, and currently, I co-direct a doctoral dissertation in mathematics applied to public transport problems.

I published five papers in specialized journals, one outreach paper, one book chapter, and two conference proceedings. 

In addition, I am a member of the Mexican Society for Operations Research, a candidate for the National System of Researchers, and a part of the UANL-ITESM Urban Mobility Group.

I have taught 33 undergraduate courses, four postgraduate courses, and one specialized course in public transport for the strategic planning area of the CDMX metro.

I am a visiting professor in the Department of Mathematics of the Autonomous Technological Institute of Mexico.

I am passionate about applied mathematics and hope to pass that passion on to my students.

Academic Studies

BS Physical Mathematical Sciences, Universidad Michoacana de San Nicolás de Hidalgo
MS Applied and Industrial Mathematics, Universidad Autónoma Metropolitana
PhD Mathematical Sciences, Universidad Autónoma Metropolitana

Contact

55 5628 4000 ext. 3818

Topics of Interest

  • Mathematical modeling and algorithms to solve industrial and urban transport problems
  • Modern artificial intelligence techniques for data processing and prediction systems.

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