Francisco Benita

Research Professor, School of Engineering & Sciences

Tecnológico de Monterrey

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Welcome

Welcome to my personal website! I am Francisco Benita, a Research Professor at the School of Engineering & Sciences at Tecnológico de Monterrey. In addition, I serve as an Adjunct Lecturer in the Engineering Systems and Design Pillar at the Singapore University of Technology and Design (SUTD).

Before my position at Tecnológico de Monterrey, I was a Lecturer at the SUTD, where I also spent five memorable years as a Research Fellow. I earned my Ph.D. in Engineering Sciences from Tecnológico de Monterrey.

Interests

My research is multidisciplinary, bridging the fields of operations research, economics, statistics and urban planning. I apply operations research methodologies and statistical techniques to address challenges in urban systems, transportation, travel behavior, and decision support systems.

Open Positions

If you are interested in potential funded PhD opportunities in transportation systems, big data analytics in supply chain, algorithmic optimization, or computational statistics, the PhD position is available at Tec de Monterrey. Please feel free to contact me at francisco_benita {at} tec {dot} mx.

News

12/2024: Two papers got accepted in 2024 IEEE Region 10 Conference (TENCON). Happy to see the outcome of six high-school students incursionating into the research world.
12/2024: New paper on a thermal comfort-based Decision Support Tool for context-based walkway design at Energy and Buildings.
11/2024: Joined Tecnológico de Monterrey as Research Professor
08/2024: Talk at Pennsylvania State University at Altoona on circular entrepreneurship (paper)
02/2024: Open-source repository on data-driven assessment of walkability in Southeast Asian cities
05/2024: Workshop at GeoPython 2024 (University of Applied Sciences and Arts Northwestern Switzerland) on computing walkability indicators with open data
01/2024: Talk at 14th POMS-HK on aircraft routing problems
01/2024: Educational Module on Image-based vehicle traffic monitoring
01/2024: New Grant from the National Supercomputing Centre (NSCC) Singapore (Project ID 15003859) for CPU and GPU card hours