Romeo Sanchez Nigenda

@uanl.mx

School of Mechanical and Electrical Engineering
Universidad Autónoma de Nuevo León

Romeo Sanchez Nigenda


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https://researchid.co/rsanchezn
Dr. Sánchez Nigenda is the Leader of the Computational Intelligence Research Group at UANL. He is a member of the National System of Researchers (Level I) and the Graduate Program in Artificial Intelligence and Optimization (PIAO). He also collaborates with the Doctoral program in Information Technologies (DTI) and the Master’s in Logistics at FIME. He has supervised numerous Doctoral and Master’s theses and has participated in various graduate and undergraduate committees.

Representing UANL, he has been distinguished as an Associate Researcher of the National Transportation Laboratory and a project evaluator for CONACyT. He has also served as an evaluator on several committees, notably the Tecnos NL 4.0 Award, the National Science Expo, and the Fulbright-García Robles Program of the US-Mexico Commission for Educational and Cultural Exchange.

His research interests include:
AI planning algorithms and Machine Learning.
Heuristic optimization.
Multi-agent systems engineering.

EDUCATION

Romeo Sánchez is a Research Professor associated with the School of Mechanical and Electrical Engineering (FIME) at the Autonomous University of Nuevo León (UANL). He holds a Ph.D. in Computer Science from Arizona State University. He served as an intern at NASA’s Ames Research Center and as a Researcher at the Information Sciences Institute of the University of Southern California, where he received two Meritorious Service Awards for his work on autonomous agents. The technology developed during this time received the Best Demo Award at the International Conference on Autonomous Agents and Multi-agent Systems (AAMAS).

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence
28

Scopus Publications

693

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • Systematic review of teen pregnancy prevention programs using websites and chatbots
    Natanael Librado González, Dora Julia Onofre Rodríguez, Romeo Sánchez Nigenda, Juliana Cristina dos Santos Monteiro, Raquel Alicia Benavides Torres, et al.
    Revista Panamericana De Salud Publica Pan American Journal of Public Health, 2025
    RESUMEN Objetivo. Evaluar la eficacia de los chatbots basados en inteligencia artificial (IA) en la prevención del embarazo adolescente, en comparación con métodos tradicionales de educación sexual o la ausencia de intervención. Material y métodos. Se realizó una revisión sistemática con base en las directrices PRISMA y la estrategia de preguntas con el formato población, intervención, comparador, resultados, tiempo y datos (PICOT-D), en la que se incluyeron estudios originales publicados entre enero del 2010 y diciembre del 2024. La búsqueda se efectuó en bases de datos como PubMed, Cochrane Library, EMBASE y SCOPUS; se utilizaron descriptores DeCS y MeSH. Los datos se gestionaron en Rayyan® y en un formulario Excel®. Se registró el protocolo en PROSPERO (CRD42024580136). Resultados. Se analizaron 14 estudios con 10 018 participantes (71,1% eran mujeres). Los chatbots demostraron alta usabilidad (77,7 puntos en la escala SUS, percentil 82). Del total de usuarios, 83% interactuaron con el chatbot, 46% iniciaron anticonceptivos hormonales y 56,8% los calificaron como fáciles de comprender. Se observó un aumento significativo en el uso de anticonceptivos (razón de posibilidades ajustada [aOR, por su sigla en inglés] = 1,60; p = 0,02) y preservativos (aOR = 1,48; p <0,001). También hubo mejoras en el conocimiento sobre anticoncepción de emergencia (57,3% versus 47,5%; p <0,01) y el acceso a servicios anticonceptivos (95,6% versus 91,8%; p = 0,01). Conclusión. Los chatbots basados en IA son eficaces para prevenir el embarazo adolescente y se presentan como un complemento clave de los métodos tradicionales de educación sexual.
  • Scheduling personalized study plans considering the stress factor
    J. Pablo Rosas Baldazo, Yasmín Á. Ríos-Solís, Romeo Sánchez Nigenda
    Interactive Learning Environments, 2024
  • Holding times to maintain quasi-regular headways and reduce real-time bus bunching
    Citlali M. Olvera-Toscano, Yasmín Á. Ríos-Solís, Roger Z. Ríos-Mercado, Romeo Sánchez Nigenda
    Public Transport, 2023
  • Weighted U-NET++ and 2D-HMM Ensemble for Gastrointestinal Image Segmentation
    Jairo Enrique Ramírez-Sánchez, Pedro A. Martínez-Barrón, Hannia Medina-Aguilar, Romeo Sánchez-Nigenda
    Computacion Y Sistemas, 2023
  • Parallel best-first search algorithms for planning problems on multi-core processors
    Didier El Baz, Bilal Fakih, Romeo Sanchez Nigenda, Vincent Boyer
    Journal of Supercomputing, 2022
  • Virtual Reality Trainer in the Evaluation of International Safety Standards in Fire Situations
    Francisco Torres-Guerrero, Romeo Sanchez, Leticia Neira-Tovar
    Conference Proceedings IEEE Games Multimedia Animation and Multiple Realities Gmax 2020, 2020
  • Travel Plans in Public Transit Networks Using Artificial Intelligence Planning Models
    Fernando Elizalde-Ramírez, Romeo Sanchez Nigenda, Iris A. Martínez-Salazar, Yasmín Á. Ríos-Solís
    Applied Artificial Intelligence, 2019
  • The sales force sizing problem with multi-period workload assignments, and service time windows
    M. Angélica Salazar-Aguilar, Vincent Boyer, Romeo Sanchez Nigenda, Iris A. Martínez-Salazar
    Central European Journal of Operations Research, 2019
  • Design and evaluation of planning and mathematical models for generating learning paths
    R. Sanchez Nigenda, C. Maya Padrón, I. Martínez‐Salazar, F. Torres‐Guerrero
    Computational Intelligence, 2018
    Education research has emphasized the need to develop instructional design tools to facilitate the generation of learning paths for students. Learning paths are important because they enable the personalization and optimization of the learning process. In this work, we present a flexible conceptual framework that allows the representation of curricula information as Artificial Intelligence Planning and Mathematical Programming models to facilitate the generation of learning paths by domain independent algorithms. The resulting models consider a rich set of properties from the education domain, like hierarchical learning structures, enabling conditions, temporal actions, mandatory activities, quality accumulation functions, and metric information. We show that the proposed mathematical models return optimal solutions very efficiently if we relax the total ordering constraints of learning paths. These relaxations allow evaluating greedy planning algorithms to identify the properties from the models that increase the complexity of solution synthesis. We expect that the results of this research can be helpful to education researchers and computer scientists in the quest of scalable systems that capture more flexible standards to model learning and compute more informed learning paths for students.
  • On the application of rough sets to skeletal maturation classification: Multicriteria classification models for the characterization of skeletal maturation using rough sets theory
    Rodolfo Garza-Morales, Fernando López-Irarragori, Romeo Sanchez
    Artificial Intelligence Review, 2016
  • Introducing simulated annealing in partial order planning
    Rosa Liliana Gonzalez Arredondo, Romeo Sanchez, Arturo Berrones
    Proceedings of Special Session 2014 13th Mexican International Conference on Artificial Intelligence Advances in Artificial Intelligence Micai 2014, 2015
  • Automated adaptation of strategic guidance in multiagent coordination
    Rajiv T. Maheswaran, Pedro Szekely, Romeo Sanchez
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011
  • Multi-agent systems for the real world
    Rajiv T. Maheswaran, Craig M. Rogers, Romeo Sanchez, Pedro Szekely, Robert Neches
    2010 International Symposium on Collaborative Technologies and Systems Cts 2010, 2010
  • Multi-agent systems for the real world
    Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2009
  • Interfaces for team coordination
    Romeo Sanchez, Jing Jin, Rajiv T. Maheswaran, Pedro Szekely
    International Conference on Intelligent User Interfaces Proceedings IUI, 2008
  • VizScrlpt: On the creation of efficient visualizations for understanding complex multi-agent systems
    Jing Jin, Romeo Sanchez, Rajiv T. Maheswaran, Pedro Szekely
    International Conference on Intelligent User Interfaces Proceedings IUI, 2008
  • Predictability & Criticality Metrics for coordination in complex environments
    Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2008
  • VizScript: Visualizing complex interactions in multi-agent systems
    Aaai Spring Symposium Technical Report, 2007
  • Distributed coordination in uncertain multiagent systems
    Rajiv T. Maheswaran, Craig M. Rogers, Romeo Sanchez
    Proceedings of the International Conference on Autonomous Agents, 2007
  • VizScript: Visualizing complex interactions in multi-agent systems
    Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedro Szekely
    International Conference on Intelligent User Interfaces Proceedings IUI, 2007
  • CSC: Criticality-sensitive coordination
    Pedro Szekely, Marcel Becker, Stephen Fitzpatrick, Gergely Gati, David Hanak, et al.
    Proceedings of the International Conference on Autonomous Agents, 2006
  • An examination of criticality-sensitive approaches to coordination
    Aaai Spring Symposium Technical Report, 2006
  • Planning graph heuristics for selecting objectives in over-subscription planning problems
    Icaps 2005 Proceedings of the 15th International Conference on Automated Planning and Scheduling, 2005
  • Effective approaches for partial satisfaction (over-subscription) planning
    Proceedings of the National Conference on Artificial Intelligence, 2004
  • Parallelizing state space plans online
    Ijcai International Joint Conference on Artificial Intelligence, 2003
  • Alt Altp: Online parallelization of plans with heuristic state search
    R. Sanchez, S. Kambhampati
    Journal of Artificial Intelligence Research, 2003
  • Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search
    XuanLong Nguyen, Subbarao Kambhampati, Romeo S. Nigenda
    Artificial Intelligence, 2002
  • ALTALT: Combining graphplan and heuristic state search
    AI Magazine, 2001

RECENT SCHOLAR PUBLICATIONS

  • Usability of the “Be Yourself” IA-powered, chatbot-based website for the prevention of adolescent pregnancy
    NL González, DJO Rodríguez, RS Nigenda, DNP Cavazos, CAC Gómez, ...
    Investigacion y Educacion en Enfermeria 44 (1), e02 , 2026
    2026
  • Acceptability of a website and chatbot intervention to promote self-determined motivation and prevent adolescent pregnancy
    NL González, DJO Rodríguez, JC dos Santos Monteiro, RAB Torres, ...
    Adolescência E Saúde 21 (1), 95-100 , 2026
    2026
  • Fundamentos de la Inteligencia Artificial: Algoritmos y Técnicas
    R Sánchez Nigenda, LM Torres Treviño, SE Garza Villarreal, ...
    IA Medicina e ingeniería : Algoritmos que salvan vidas 1, 55-93 , 2025
    2025
  • Centralized Multiagent System Approach to Reduce Bus Bunching
    JÁP Castillo, FT Guerrero, RS Nigenda
    DAENA Journal 20 (1), 1-10 , 2025
    2025
  • Systematic review of teen pregnancy prevention programs using websites and chatbots
    NL Gonzalez, DJO Rodriguez, RS Nigenda, JC dos Santos Monteiro, ...
    Revista Panamericana de Salud Pública 49, e22 , 2025
    2025
    Citations: 2
  • Evaluación de necesidades y expectativas de estudiantes para la implementación de un programa de ingeniería en Inteligencia Artificial
    EJ Ordaz Rivas, R Sánchez Nigenda, ...
    La investigación: factor determinante para la actualización de los planes de … , 2025
    2025
  • Evaluación de necesidades y expectativas de profesores para la implementación de un Programa de Ingeniería en Inteligencia artificial
    R Sánchez Nigenda, EJ Ordaz Rivas, MA Salazar Aguilar
    La investigación: factor determinante para la actualización de los planes de … , 2025
    2025
  • Revisión sistemática de programas de prevención de embarazo adolescente mediante páginas web y chatbots
    NL González, DJO Rodríguez, RS Nigenda, JC dos Santos Monteiro, ...
    Revista Panamericana de Salud Pública= Pan American Journal of Public Health … , 2025
    2025
    Citations: 2
  • Revisión sistemática de programas de prevención de embarazo adolescente mediante páginas web y chatbots
    N Librado González, DJ Onofre Rodríguez, R Sánchez Nigenda, ...
    Pan American Journal of Public Health 49 (4), 1-10 , 2025
    2025
    Citations: 4
  • Scheduling personalized study plans considering the stress factor
    JPR Baldazo, YÁ Ríos-Solís, RS Nigenda
    Interactive Learning Environments 32 (7), 3855-3874 , 2024
    2024
    Citations: 3
  • Weighted U-NET++ and 2D-HMM Ensemble for Gastrointestinal Image Segmentation
    JE Ramírez-Sánchez, PA Martínez-Barrón, H Medina-Aguilar, ...
    Computación y Sistemas 27 (4), 991-1002 , 2023
    2023
  • Segmentando imágenes gastrointestinales usando ensamble ponderado U-NET++ y 2D-HMM
    JER Sánchez, PM Barrón, HM Aguilar, RS Nigenda
    Research in Computing Science 152 (9), 95-107 , 2023
    2023
  • Holding times to maintain quasi-regular headways and reduce real-time bus bunching
    CM Olvera-Toscano, YÁ Ríos-Solís, RZ Ríos-Mercado, RS Nigenda
    Public Transport , 2023
    2023
    Citations: 6
  • Parallel best-first search algorithms for planning problems on multi-core processors
    D El Baz, B Fakih, R Sanchez Nigenda, V Boyer
    The Journal of Supercomputing 78 (3), 3122-3151 , 2022
    2022
    Citations: 11
  • Virtual Reality Trainer in the Evaluation of International Safety Standards in Fire Situations
    F Torres-Guerrero, R Sanchez, L Neira-Tovar
    2020 IEEE Games, Multimedia, Animation and Multiple Realities Conference … , 2020
    2020
    Citations: 5
  • Travel plans in public transit networks using artificial intelligence planning models
    F Elizalde-Ramírez, RS Nigenda, IA Martínez-Salazar, YÁ Ríos-Solís
    Applied Artificial Intelligence 33 (5), 440-461 , 2019
    2019
    Citations: 12
  • The sales force sizing problem with multi-period workload assignments, and service time windows
    MA Salazar-Aguilar, V Boyer, RS Nigenda, IA Martínez-Salazar
    Central European Journal of Operations Research 27 (1), 199-218 , 2019
    2019
    Citations: 5
  • Design and evaluation of planning and mathematical models for generating learning paths
    R Sanchez Nigenda, C Maya Padrón, I Martínez‐Salazar, ...
    Computational Intelligence 34 (3), 821-838 , 2018
    2018
    Citations: 20
  • Generación de trayectorias de aprendizaje a través de modelos educativos de planificación
    C Maya Padrón, R Sánchez Nigenda
    Ciencia UANL 19 (77), 56-61 , 2016
    2016
  • On the application of rough sets to skeletal maturation classification
    R Garza-Morales, F López-Irarragori, R Sanchez
    Artificial Intelligence Review 45 (4), 489-508 , 2016
    2016
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Effective approaches for partial satisfaction (over-subscription) planning
    M Van Den Briel, R Sanchez, MB Do, S Kambhampati
    Proceedings of the National Conference on Artificial Intelligence, 562-569 , 2004
    2004
    Citations: 160
  • Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search
    XL Nguyen, S Kambhampati, RS Nigenda
    Artificial Intelligence 135 (1-2), 73-123 , 2002
    2002
    Citations: 149
  • Planning Graph Heuristics for Selecting Objectives in Over-subscription Planning Problems.
    RS Nigenda, S Kambhampati
    ICAPS, 192-201 , 2005
    2005
    Citations: 59
  • AltAlt: Combining the advantages of Graphplan and heuristic state search
    RS Nigenda, X Nguyen, S Kambhampati
    International conference on knowledge-based computer systems , 2000
    2000
    Citations: 59
  • Predictability & criticality metrics for coordination in complex environments
    RT Maheswaran, P Szekely, M Becker, S Fitzpatrick, G Gati, J Jin, ...
    Proceedings of Seventh International Joint Conference on Autonomous Agents … , 2008
    2008
    Citations: 38
  • Distance-Based Goal-Ordering Heuristics for Graphplan.
    S Kambhampati, RS Nigenda
    AIPS, 315-322 , 2000
    2000
    Citations: 38
  • Design and evaluation of planning and mathematical models for generating learning paths
    R Sanchez Nigenda, C Maya Padrón, I Martínez‐Salazar, ...
    Computational Intelligence 34 (3), 821-838 , 2018
    2018
    Citations: 20
  • AltAltp: Online parallelization of plans with heuristic state search
    R Sanchez, S Kambhampati
    Journal of Artificial Intelligence Research 19, 631-657 , 2003
    2003
    Citations: 19
  • Over-subscription in planning: A partial satisfaction problem
    RS Menkes van den Briel, S Kambhampati
    ICAPS 2004 Workshop on Integrating Planning into Scheduling , 2004
    2004
    Citations: 17
  • VizScript: On the creation of efficient visualizations for understanding complex multi-agent systems
    J Jin, R Sanchez, RT Maheswaran, P Szekely
    Proceedings of the 13th international conference on Intelligent user … , 2008
    2008
    Citations: 13
  • Travel plans in public transit networks using artificial intelligence planning models
    F Elizalde-Ramírez, RS Nigenda, IA Martínez-Salazar, YÁ Ríos-Solís
    Applied Artificial Intelligence 33 (5), 440-461 , 2019
    2019
    Citations: 12
  • A lt A lt Combining Graphplan and Heuristic State Search
    B Srivastava, XL Nguyen, S Kambhampati, MB Do, U Nambiar, Z Nie, ...
    AI Magazine 22 (3), 88-90 , 2001
    2001
    Citations: 12
  • Parallel best-first search algorithms for planning problems on multi-core processors
    D El Baz, B Fakih, R Sanchez Nigenda, V Boyer
    The Journal of Supercomputing 78 (3), 3122-3151 , 2022
    2022
    Citations: 11
  • Linear bus holding model for real-time traffic network control
    LG Hernández-Landa, ML Morales-Marroquín, RS Nigenda, ...
    Applied Simulation and Optimization: In Logistics, Industrial and … , 2015
    2015
    Citations: 7
  • Human-agent collaborative optimization of real-time distributed dynamic multi-agent coordination
    RT Maheswaran, CM Rogers, R Sanchez, P Szekely
    Workshop 25, 49 , 2010
    2010
    Citations: 7
  • Vizscript: visualizing complex interactions in multi-agent systems
    J Jin, RT Maheswaran, R Sanchez, P Szekely
    Proceedings of the 12th international conference on Intelligent user … , 2007
    2007
    Citations: 7
  • Holding times to maintain quasi-regular headways and reduce real-time bus bunching
    CM Olvera-Toscano, YÁ Ríos-Solís, RZ Ríos-Mercado, RS Nigenda
    Public Transport , 2023
    2023
    Citations: 6
  • Automated Adaptation of Strategic Guidance in Multiagent Coordination
    R Maheswaran, P Szekely, R Sanchez
    Agents in Principle, Agents in Practice, 247-262 , 2011
    2011
    Citations: 6
  • Multi-agent systems for the real world
    RT Maheswaran, CM Rogers, R Sanchez, P Szekely, R Neches
    2010 International Symposium on Collaborative Technologies and Systems, 639-640 , 2010
    2010
    Citations: 6
  • Virtual Reality Trainer in the Evaluation of International Safety Standards in Fire Situations
    F Torres-Guerrero, R Sanchez, L Neira-Tovar
    2020 IEEE Games, Multimedia, Animation and Multiple Realities Conference … , 2020
    2020
    Citations: 5