Semblance
Laura Hervert-Escobar is the director of the Scientometrics Office in the Vice Presidency for Research at Tecnológico de Monterrey. She holds a Ph.D. in Engineering Sciences from Tecnológico de Monterrey and a Ph.D. in Systems and Engineering Management from Texas Tech University. She is a faculty member of the Graduate Program in Computer Science and is affiliated with the Research Group in Data Science and Optimization.
Her research includes, but is not limited to, the development, analysis, and implementation of metaheuristic techniques to solve complex real-world combinatorial problems with multiple objectives. Her professional experience includes the development and implementation of various real-world models, such as pricing models for convenience stores, product analysis for retail sales strategies, manufacturing process scheduling, among others. Her current research focuses on the use of Data Science applied to research performance, sports forecasting, and analysis.
Expertise and Skills
- GRASP
- Heuristics
- Metaheuristics
- Programming
- Combinatorial Optimization
- Linear Programming
- Data Science
Consulting and Industry Projects
Application of Optimization Models and Data Science: pricing models for convenience stores, product analysis for retail strategy, planning models for manufacturing, among others. Focused on data science models for performance analysis, sports forecasting, and sociodemographic analysis models.
Academic Publications
- Analyzing Grade Inflation in Engineering Education
- Evaluating Teacher’s Classroom Performance
- Exploring Emerging Researchers in LATAM: A Comparative Study with Elsevier Data and Machine Learning Techniques
- Creating Models for Predictive Maintenance of Field Equipment in the Oil Industry Using Simulation Based Uncertainty Modelling
- Volunteers in lockdowns: decision support tool for allocation of volunteers during a lockdown
- Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach
- Mexican stock return prediction with differential evolution for hyperparameter tuning
- Production planning and scheduling optimization model: a case of study for a glass container company
- Risk profiles of financial service portfolio for women segment using machine learning algorithms
- Predictive analytics with factor variance association