Nivel SNII: 3
Formación:
- BSc Electronics, UAM, México, 1985.
- MSc Computer Systems, ITESM, México, 1991.
- MSc Information Technology, University of Edinburgh, Reino Unido, 1993.
- PhD in Artificial Intelligence, University of Edinburgh, Reino Unido, 1998. Supervisor: Prof. Alan Bundy.
Proyectos:
- Artificial Intelligence Strategic Initiative, Tecnológico de Monterrey, School of Science and Engineering. Co-líder del grupo de investigación (2024–actualidad).
- NAS4HEALTH: Multi-Objective Neural Architecture Search for Image Restoration in Medical Treatments, PI Raúl Monroy, CBRF 24-IJST070-25DG71001 (2025–2026).
- Neural Architecture Search for Image Restoration, CONACYT Ciencia de Frontera CF-2023-I-801 (2023–2026).
- Intelligence Artificielle pour la generation de microfictions littéraires (GenMicFic), SEP-CONACYT-ANUIES-ECOS NORD Francia 321105 (2022–202X).
- Human in the loop software for improving latent fingerprint identification, Tec-UoA Seed Funding Programme (2021–2022).
- Identificación de Huellas Latentes Palmares y Dactilares, CONACYT Problemas Nacionales PN-720 (2017–2020).
- Democratising AI, Google Inc. (2019).
- Dynamic Networks and Metrics for Ad Efficiency Ratings, NIC México (2019).
- Countermeasures for DDoS Attacks Targeting the Domain Name System, NIC México (2019).
- Resiliencia Estudiantil: Sistema de Recomendación Pro-Mejora de Desempeño Académico, NOVUS (2017).
- Formal Verification of Web Applications, Google Faculty Research Awards (2015).
- Aplicación de Modelos Estadísticos y Técnicas de Caracterización a Tráfico de Red para la Detección de Intrusos, CONACyT-SEP Investigación Básica 105698 (2012–2014).
- Automated Repair of Industrial-Strength Security Protocols, CONACyT-DFG Grant 121596 (2012).
- On the Timely Detection of Mimicry Attacks, CONACyT Grant 47557 (2008–2010).
- Método estadístico para la detección de ataques al DNS, FRIDA Grant Project 142 (2008).
- On Automatically Patching Faulty Security Protocols, CONACyT-DAAD Grant J110.382/2006 (2006).
- Computer Security Based on Immune Systems, CONACyT-BMBF Grant J200.1442/2002 (2004).
- The Use of Proof Planning to Automating the Verification of Authentication Protocols, CONACyT Grant 33337-A (2000–2004).
Áreas de interés
- Inteligencia Artificial.
- Machine Learning.
- Ciberseguridad.
- Detección de intrusiones.
- Bot detection.
- Detección de anomalías.
- Pattern-based classification.
- Clustering difuso.
- Similarity relations.
- Identificación de huellas digitales y palmares latentes.
- Neural Architecture Search.
- Strategy discovery.
- Formal methods y theorem proving aplicado al desarrollo de sistemas.
- Personal stress surveillance y detección de personas en riesgo.
Doctorado:
- Jesús Leopoldo Llano García, A Hybrid Multi-objective Optimization Approach to Neural Architecture Search for Super Resolution Image Restoration (2021–2025).
- Javad Khodadoust, A minutiae-based indexing algorithm for latent palmprints (2021–2024).
- Luis Daniel Samper Escalante, Botnet Detection on Twitter: A Novel Similarity-based Clustering Mechanism (2020–2024).
- Leonardo Cañete Sifuentes, A novel functional tree for class imbalance problems (2019–2022).
- Danilo Valdés Ramírez, A classifier-based fusion algorithm for latent fingerprint identification based on a neural network (2017–2021).
- Bárbara Cervantes, A Study of Feature Uniformity on Decision Tree Ensemble Classifiers (2014–2017).
- Jorge Rodríguez Ruiz, Enhancing One-Class Classification for Masquerade and Personal Risk Detection (2014–2017).
- Víctor Hugo Ferman Landa, WebMC: A Model Checker for the Web (2011–2016).
- José Benito Camiña Prado, Towards Building a Masquerade Detection Method Based on User File System Navigation Profiling (2012–2015).
- Roberto Alonso Rodríguez, A Social Network Based Model to Detect Anomalies on DNS Servers (2011–2015).
- Karen Azurim García Gamboa, Detección de Intrusiones Forense a Nivel Computadora Analizando Bitácoras de Llamadas al Sistema (2005–2011).
- Juan Carlos López Pimentel, On the Automated Correction of Faulty Security Protocols (2004–2008).
- Fernando Godínez Delgado, On an Efficient and Scalable Architecture for Mimicry Attacks Detection Using Probabilistic Methods (2000–2005).
Maestría:
- Zoe Caballero Domínguez, An Explainable Autoencoder Integrating Regression and Classification Trees for Anomaly Detection (2024–2025).
- Benjamín Gutiérrez Padilla, PassID: A Modular System for Pass Detection with Integrated Player Identification in Football (2023–2024).
- Omar Muñoz, Automated discovery of successful strategies in football soccer (2021–2023).
- Alicia Huidobro Espejel, Characterisation of visitors and description of their navigation behaviour using Web Log Mining techniques (2019–2020).
- Arturo Silva Gálvez, Videogame Crowdsourcing Approach to Find Strategies Using Repeated Sub-Sequences (2018–2020).
- Jesús Leopoldo Llano García, An Indicator-based Evolutionary Algorithm for Equality Constrained Multi-Objective Optimisation Problems (2018–2020).
- Javier Israel Mata Sánchez, Anomaly Detection as a Method for Uncovering Twitter Bots (2017–2019).
- Rodolfo Andrés Ramírez Valenzuela, Stress Representation Model through wearable measurements and behavioral patterns (2017–2019).
- Fernando Gómez Herrera, Visualization and Machine Learning Techniques to Support Web Traffic Analysis (2017–2019).
- Leonardo Mauricio Cañete Sifuentes, Mining contrast patterns from multivariate decision trees (2016–2018).
Publicaciones:
- García-Ceja, E., et al., A Dataset of University Students' Stress and Anxiety Levels based on Questionnaires and Wearable Sensors. Scientific Data, Nature, 2026.
- ShahikiTash, M., et al., Social Support Detection from Social Media Texts. PLoS One, 2026.
- Khodadoust, J., Monroy, R., et al., PFPINet: An End-to-End Network for Partial Finger Photo Identification. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2026.
- Caballero-Domínguez, Z., Monroy, R., Medina-Pérez, M.-A., An Explainable Autoencoder Integrating Regression and Classification Trees for Anomaly Detection. Expert Systems with Applications, 2026.
- Aleman Manzanarez, G., et al., Can Artificial Intelligence Write Like Borges? An Evaluation Protocol for Spanish Microfiction. Applied Sciences, 2025.
- Llano García, J.-L., Monroy, R., et al., Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture Optimization. IEEE Access, 2025.
- Samper-Escalante, L.-D., Loyola-González, O., Monroy, R., Medina-Pérez, M., Botnet Identification on Twitter: A Novel Clustering Approach based on Similarity. IEEE Access, 2024.
- Quintero-Narváez, C. E., Monroy, R., Integrating Knowledge Graph Data with Large Language Models for Explainable Inference. WSDM ’24, ACM, 2024.
- Cañete-Sifuentes, L., Monroy, R., et al., FT4cip: A new functional tree for classification in class imbalance problems. Knowledge-Based Systems, 2022.
- López-Pimentel, J.-C., Monroy, R., RootLogChain: Registering log-events in a blockchain for audit issues from the creation of the root. Sensors, 2021.
- Rodríguez, J., Mata-Sánchez, J.-I., Monroy, R., et al., A one-class classification approach for bot detection on Twitter. Computers and Security, 2020.
- Rodríguez, J., Monroy, R., et al., Cluster validation in clustering-based one class classification. Expert Systems, 2019.
- López-Cuevas, A., Medina-Pérez, M.-A., Monroy, R., et al., FiToViz: A Visualisation Approach for Real-time Risk Situation Awareness. IEEE Transactions on Affective Computing, 2017.
- Benito Camiña, J., Monroy, R., Trejo, L. A., Medina Pérez, M. A., Temporal and Spatial Locality, an Abstraction for Masquerade Detection. IEEE Transactions on Information Forensics and Security, 2016.
- Monroy, R., Bundy, A., Green, I., Planning proofs of equations in CCS. Automated Software Engineering, 2000.
- Monroy, R., Bundy, A., Ireland, A., Proof Plans for the Correction of False Conjectures. LPAR’94, Springer, 1994.