Dr. Li has supervised a total of 7 Ph.D. dissertations and 30 Master's theses, all conducted at CINVESTAV-IPN, Mexico.

Ph.D. Dissertations

1. Medina Marín Joselito (2005): “Development of ECA rules in active database systems: a Petri nets approach”
2. Chavaría Báez Lorena (2008): “Verification and analysis of active rule-based systems”
3. Cervantes Canales Jair (2009): “Classification of large data sets using support vector machines and applications on biological systems”
4. Rodríguez Mazahua Lisbeth (2012): “Dynamic vertical Partitioning of multimedia databases using active rules”
5. López Chau Asdrúbal (2013): “Data Reduction methods for large data classification using SVM” (Awarded First Place in the 37th National Thesis Competition)
6. Bella Citlali Martínez Seis (2018): “Use of attributes to detect quality communities in social networks”
7. Erick García López (2023): “Development of a bilateral rehabilitation system assisted by upper limb robots for patients with cerebrovascular disease (CVD)”

Master's Theses

1. Perez Moo Sergio Antonio (2002): “Hybrid system modeling and control using fuzzy Petri nets and neural networks”
2. Medina Marín Joselito (2002): “Conditional colored Petri nets and their applications in active database systems”
3. Villaseñor Lozano Carlos Alejandro (2003): “Fuzzy neural modeling with stable learning algorithm”
4. Trujillo Ferrara José de Jesús (2003): “Deadlock Detection and Analysis of Distributed Database Systems”
5. Chavaría Báez Lorena (2004): “ECA rule interaction complexity measurement”
6. Garrido Daniel Samuel (2005): “Modeling workflow management systems using Conditional Colored Petri nets”
7. Hernández Valadez Edna (2006): “An entropy-based clustering algorithm for discovering groups with mixed-type attributes”
8. Palacios Hernández Francisco (2006): “CMAC neural nets as a classification model in data mining”
9. Millan Alonso Gildardo (2006): “Telecommunication networks traffic prediction using analytic intelligence techniques”
10. Vázquez Tzompantzi Marisol (2007): “Automated decision making by ECA Fuzzy rules on an active Data Warehouse”
11. Alvarado Sánchez Jorge Alberto (2008): “Access control system with Radio Frequency Identification (RFID)”
12. Limeta Cabañas Alberto (2010): “A new model for predicting linkage of social networks”
13. Mejía Olivares Cristian Paolo (2010): “Large-scale social network analysis”
14. Villanueva Chávez Joel (2011): “Ontology-based framework for knowledge management in the ETL process”
15. Pérez Rivas Eduardo (2012): “OPCOLAPH: OLAP Query Optimization of distributed databases in clusters based on histograms”
16. Pico Villalpando Antonio (2012): “Design and implementation of a quadcopter control system”
17. Sánchez Barreto Christian Onassis (2013): “An evolutionary approach for knowledge learning using fuzzy Petri nets”
18. Parga Villalpando Carlos (2013): “Human-machine interface development using Smartphone with application on robot control”
19. Villegas Solís Salvador Abdelaziz (2014): “Structural Health Monitoring using data mining techniques”
20. Hernández Petlachi Roberto Francisco (2014): “Sentiment Analysis of Spanish text based on semantic approximation”
21. Pantoja Laces Williams Antonio (2015): “Bipedal robot walking generation through data analysis of human gait”
22. Rodríguez Molina Alejandro (2015): “3D rehabilitation system using a haptic device”
23. Andrade Jiménez Yareli Licet (2015): “Preprocessing tool for tweets based on search-by-topic”
24. Gómez Rosal Dulce Adriana (2016): “Design and development of a hand gesture recognition system for UAV control”
25. Erick García López (2017): “Development of a bilateral rehabilitation system assisted by robots”
26. Oscar Ramírez Ayala (2019): “Implementation of CNN deep learning algorithm for the identification of invasive plants using small data sets”
27. Vicente Adnan Duarte Méndez (2022): “Wind energy prediction using hybrid multiple ARIMA models”
28. Edgar Omar Mendoza López (2025): “Implementation of a quantum support vector machine with ZZ-type mapping”
29. Saul Jesus Rangel Popoca (2025): “Artificial intelligence algorithm for trajectory generation in a gait rehabilitation exoskeleton”
30. Yahel Jesús Cortés García (2025): “Implementation of a rehabilitation system in a virtual environment using a haptic device for the upper limb”

Dr. Li has taught the following courses at graduate level:

1. Generative AI
2. Data Mining
3. Machine Learning
4. Neural Networks and Deep Learning
5. Theory of Computation
6. Social Network Analysis
7. System Modeling and Simulation
8. Petri Nets and Applications
9. Big Data and Big Analysis
10. Research Seminar (Master's and Ph.D. level)