Dr. Jaime Mora Vargas is a distinguished researcher and professor in the Industrial Engineering Department at Tecnológico de Monterrey, where he currently serves as National Director of Professional Impact Graduate Programs at the School of Engineering and Sciences. With over 20 years of expertise in Complex Systems and Operations Research, he specializes in transportation and logistics applications.

Dr. Mora holds a Bachelor's degree in Physical Engineering from Universidad AutónomaMetropolitana and a Ph.D. in Engineering (Operations Research) with honors from Universidad Nacional Autónoma de México. His research focuses on developing hybrid algorithms combining classical optimization with advanced artificial intelligence methods for solving combinatorial problems, particularly in humanitarian logistics and disaster prevention. He is a Level 1 member of Mexico's National System of Researchers (SNII), a member of the Mexican Academy of Sciences and Computing, and former president of the Mexican Association of Logistics and Supply Chain. In 2022, he edited the book "Humanitarian Logistics from the Disaster Risk Reduction Perspective: Theory and Applications." His academic contributions include over 40 articles in high-impact JCR-indexed journals and the successful supervision of 13 master's theses and 10 doctoral dissertations.

Previously, Dr. Mora served as Software Development Director at Adaptive Technologies, where he led the development of "Adaptrader Advantage," an artificial intelligence system for stock market price prediction.

3.1.38 Claudia Yohana Arias-Portela, Jaime Mora-Vargas, Martha Caro, “Situational awareness assessment of drivers boosted by eye-tracking metrics: A literature review”, Applied Sciences, 2024, Q2, https://doi.org/10.3390/app14041611

3.1.37 Montufar Benítez, M. A., Mora Vargas, J., Castro Esparza, J. R., Rivera Gómez, H., & Montaño Arango, O. (2024). Comparative Study of Monte Carlo Simulation and the Deterministic Model to Analyze Thermal Insulation Costs. AppliedMath, 4(1), 305-319. https://doi.org/10.3390/appliedmath4010016

3.1.36 Marco Antonio Montufar-Benítez, Jaime Mora-Vargas, Carlos Arturo Soto-Campos, Gilberto Pérez-Lechuga, José Raúl Castro-Esparza, “A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico”, Computational Statistics, 2024, Q2, https://doi.org/10.1007/S00180-024-01456-7

3.1.35 Carlos Mario Pérez-González, Jaime Mora-Vargas, Jared Piña-Barcenas, Miguel Gaston Cedillo-Campos, “Method for travel time prediction in emerging markets based on anonymous truck GPS data”, Annals of Operations Research, 2023, Q1, https://doi.org/10.1007/s10479-023-05354-x

3.1.34 Romero-Mancilla MS, Mora-Vargas J and Ruiz A, “Pharmacy-based immunization: a systematic review.”, Frontiers in Public Health, 2023, Q1, https://doi.org/10.3389/fpubh.2023.1152556

3.1.33 Gilberto Pérez-Lechuga, Francisco Venegas-Martínez, Marco A Montufar-Benítez, Jaime Mora-Vargas, “On the Dynamics in Decoupling Buffers in Mass Manufacturing Lines: A Stochastic Approach”, Mathematics, 2022, Q2, https://doi.org/10.3390/math10101686

3.1.32 Miguel Gastón Cedillo-Campos, Jared Piña-Barcenas, Carlos Mario Pérez-González, Jaime Mora-Vargas, “How to measure and monitor the transportation infrastructure contribution to logistics value of supply chains?”, Transport Policy, 2022, Q1, https://doi.org/10.1016/j.tranpol.2022.03.001

3.1.31 Aleksandra Krstikja, Moisés Gerardo Contreras Ruiz Esparza, Jaime Mora Vargas, Laura Hervert Escobar, Cecilia López de la Rosa, Silvia Teresa González Calderón, Emanuele Giorgi, Karen Hinojosa Hinojosa, “Decision-support tool for coordination of volunteers in large-scale lockdowns”, International Journal of Disaster Risk Reduction, 2021, Q1, https://doi.org/10.1016/j.ijdrr.2021.102420

3.1.30 Irais Mora-Ochomogo, Marco Serrato, Jaime Mora-Vargas and Raha Akhavan-Tabatabaei, “Development of a Shipment Policy for Collection Centers        Mathematics”, 2021, Q2, https://doi.org/10.3390/math9121385

3.1.29 César Martínez-Olvera, Jaime Mora-Vargas, “A Comprehensive Framework for the Analysis of Industry 4.0 Value Domains”, Sustainability, 2019, Q2, https://doi.org/10.3390/su11102960

3.1.28 Jonnatan F. Avilés-González, Jaime Mora-Vargas, Neale R. Smith, Miguel Gastón Cedillo-Campos Artificial intelligence and DOE: an application to School Bus Routing Problems, Wireless Networks, 2019, Q2, https://doi.org/10.1007/s11276-019-01985-w

3.1.27 Montiel Moctezuma C.J., Mora-Vargas J., Gonzalez-Mendoza M, “Solving Dynamic Combinatorial Optimization Problems using a Probabilistic Distribution as Self-Adaptive Mechanism in a Genetic Algorithm”, sent for publication to the magazine Applied Sciences. ISSN 2076-3417. 2019

3.1.26 Aviles-González J.F., Mora-Vargas J., Smith N, “Artificial intelligence and DOE: an application to School Bus Routing Problems”, sent for publication to the magazine “Wireless Networks”. ISSN: 15728196, 10220038. 2019

            3.1.25 Martinez-Olvera C., Mora-Vargas J, “A Max-Plus Algebra Approach to Study Time Disturbance Propagation within a Robustness Improvement Context,”. Mathematical Problems in Engineering, vol. 2018, Article ID 1932361, 18 pages, 2018. https://doi.org/10.1155/2018/1932361. 

3.1.24 Lopez-Sanchez, I.A.; Mora-Vargas, J; Santos C.A.; Gonzalez-Mendoza Miguel; Montiel-Moctezuma, C.J. “Solving binary cutting stock with matheuristics using particle swarm optimization and simulated annealing”. Soft Comput (2018) 22: 6111. https://doi.org/10.1007/s00500-017-2666-8.

3.1.23 Regis-Hernandez F, Mora-Vargas J, Ruiz Angel, “A multi-criteria vertical coordination framework for a reliable aid distribution”. Journal of Industrial Engineering and Management. Vol 10, No. 4, 2017. https://doi.org/10.3926/jiem.2253.

3.1.22 Bonilla-Vera, JA, Mora-Vargas J, Gonzalez-Mendoza M, Lopez-Sanchez IA, “Brief Review of Techniques Used to Develop Adaptive Evolutionary Algorithms”. The Open Cybernetics and Systemics Journal, Bentham Open, 2017. http://dx.doi.org/10.2174/1874110X01711010001.

3.1.21 Mora-Ochomogo, E., Mora-Vargas, J., & Serrato, M. (2016). A Qualitative Analysis of Inventory Management Strategies in Humanitarian Logistics Operations. International Journal of Combinatorial Optimization Problems and Informatics, 7(1), 40-53. Retrieved from https://ijcopi.org/index.php/ojs/article/view/45.

3.1.20 M.A. Serrato-García, J. Mora-Vargas, R.T. Murillo, “Multi objective optimization for humanitarian logistics operations through the use of mobile technologies”, Journal of Humanitarian Logistics and Supply Chain Management, ISSN: 2042-6747, Vol. 6 Iss: 3, pp.399 – 418, 
http://dx.doi.org/10.1108/JHLSCM-01-2015-0002.

3.1.19 Diana Sánchez-Partida, Enrique Gabriel Baquela, Jaime Mora-Vargas, Neale R. Smith, Nova Scientia, Vol 8, No 17 (2016). ISSN 2007-0705. https://doi.org/10.21640/ns.v8i17.631

3.1.18 Castrejon A, Sánchez-Partida D, Mora-Vargas J, “Proposal to improve control and inventory levels under an uncertain scenario”. Dyna-Management, 2016.

3.1.17 I.E. Buzón-Cantera, J. Mora-Vargas, A. Ruiz-Bartolomé and P. Soriano, “A Hybrid Optimization Model: An approach for the Humanitarian Aid Distribution Problem”, aceptado para su publicación en la revista Applied Mathematical Sciences (1312-885X print, ISSN 1314-7552 online). http://dx.doi.org/10.12988/ams.2015.58530. 2015

3.1.16 I.E. Buzón-Cantera, J. Mora-Vargas, A. Ruiz-Bartolomé and P. Soriano, “Distribución balanceada de ayuda humanitaria resuelto con un algoritmo metaheurístico”, Research in computing science. Advances in Artificial Intelligence Theory, Vol. 62, 373-389, IPN (2013). ISSN: 1870-4069.

            3.1.15 J.C. Velazquez Martinez, J. Mora Vargas, E.E. Blanco, and J.C. Fransoo, “The        impact of carbon footprinting aggregation on realizing emission reduction targets”,     accepted for publication, Flexible Services and Manufacturing Journal, December 201.  ISSN: 1936-6582

3.1.14 Eva Hernández-Gress, Jaime Mora-Vargas, Luis Herrera, Eduardo Díaz-Santillán, “A genetic algorithm for optimal unequal-area block layout design”, International Journal of Production Research, 2010, DOI: 10.1080/00207540903130868. ISSN 0020–7543 print/ISSN 1366–588X online. JCR

3.1.13 Fernando Gudiño-Peñaloza, Miguel González-Mendoza, Neil Hernandez-Gress, Jaime Mora-Vargas, “Intelligent tutorial system for teaching of probability and statistics at high school in Mexico”, World Journal on Educational Technology, 2 (2009) 89-97. ISSN: 1309-1506(print), 1309-0348(online)

3.1.12 Ariel GARCIA-GAMBOA, Miguel GONZALEZ-MENDOZA, Neil HERNADEZ-GRESS, Rodolfo IBARRA-OROZCO, Jaime MORA-VARGAS. Heuristics to reduce the training time of SVM algorithm. Neural Networks and Associative Memories. NNAM 2006: First International Conference on Neural Networks and Associative Memories. México, México. November 21 to 24, 2006. ISSN 1665-9899.

3.1.11 Rodolfo IBARRA-OROZCO, Miguel GONZALEZ-MENDOZA, Ariel GARCIA-GAMBOA, Neil HERNADEZ-GRESS, Jaime MORA-VARGAS. Drowsy Driver Detection Using Wavelets and Support Vector Machines. NNAM 2006: First International Conference on Neural Networks and Associative Memories. México, México. November 21 to 24, 2006. ISSN 1665-9899.

3.1.10 Juan Frausto-Solis, Jaime Mora-Vargas, Monica Larre, Jose Luis Gomez-Ramos, New Genetic Algorithm For the University TimeTabling Problem Using Forced Diversity, WSEAS TRANSACTIONS on SYSTEMS. Issue 10, Vol 5, Octuber 2006, pp. 2398-2403, ISSN  1109-2777.

3.1.9 Ariel Garcia-Gamboa, Neil Hernández-Gress, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Jaime Mora-Vargas. “Initialization and Presolving Strategies to Reduce the SVM Learning Phase Complexity”. Advanced Distributed Systems – 6th International School and Symposium, ISSADS 2006, Guadalajara, México, Springer. ISBN: 3-540-28063-4. Series Lecture Notes in Computer Science.

3.1.8 Ariel García-Gamboa, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Neil Hernández Gress, Jaime Mora-Vargas: A Comparison of SVM-Fuzzy Modelling Techniques for System Identification. MICAI 2005: 494-503. Publisher: Springer-Verlag. ISSN: 0302-9743

3.1.7 Jaime Mora Vargas, Neil Hernández Gress y Miguel González Mendoza, “Intelligent genetic algorithm: a toy model application”, Research on computing science. Advances in Artificial Intelligence Theory, Vol. 16,175-284, IPN( 2005). ISSN: 1665-9899.

3.1.6 Ariel Garcia-Gamboa, Neil Hernández-Gress, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Jaime Mora-Vargas. “A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector Machines”. Artificial Neural Networks: Biological Inspirations – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II. ISBN: 3-540-28755-8. Series Lecture Notes in Computer Science. Vol 3563. ISSN: 0302-9743

3.1.5 Rodolfo E. Ibarra Orozco, Neil Hernández Gress, Jaime Mora Vargas y Juan Frausto Solis, “Increasing the training speed of SVM, the Zoutendijk algorithm case”, Advanced Distributed Systems – 5th International School and Symposium, ISSADS 2005, Guadalajara, México, Springer. ISBN: 3-540-28063-4. Series Lecture Notes in Computer Science. Vol 3563. ISSN: 0302-9743

3.1.4 C.R. Stephens y J. Mora, “Effective Fitness as an Alternative Paradigm in Evolutionary Computation II: Examples and Applications'', Genetic Programming and Evolvable Machines, Vol. 2, 7-32, Kluwer (2001). ISSN: 1389-2576.

3.1.3 C.R. Stephens y J. Mora, “Effective Fitness as an Alternative Paradigm in Evolutionary Computation I: General Formulism'', Genetic Programming and Evolvable Machines, Vol. 1 Issue 4, 363-378, Kluwer (2000). ISSN: 1389-2576.

3.1.2 J. Mora, C.R. Stephens, H. Waelbroeck y F. Zertuche “Symmetry Breaking and Adaptation: Evidence From a Simple Toy Model of a Virus”, Biosystems, 51, pp. 1-14 (1999). ISSN: 0303-2647

3.1.1 C.R. Stephens, I. García Olmedo, J. Mora Vargas y H. Waelbroeck, Self Adaptation in Evolving Systems, Artificial Life,4.2, pp 183-201 (1998). ISSN: 1064-5462

Capítulos de libro

3.2.19 Diana Sánchez-Partida, Jaime Mora-Vargas, Neale R. Smith, and Fernando Castillo-Villar Clustering of Highly Vulnerable Mexican Municipalities to Develop Humanitarian Public Policies           Humanitarian Logistics from the Disaster Risk Reduction Perspective, Theory and Applications  2022            Springer           ISBN 978-3-030-90876-8 ISBN 978-3-030-90877-5

3.2.18 Irais Mora-Ochomogo, Marco Serrato, Jaime Mora-Vargas, and Raha Akhavan-Tabatabaei          Application of a Markov Decision Process in Collection Center Operations    Humanitarian Logistics from the Disaster Risk Reduction Perspective, Theory and Applications  2022    Springer            ISBN 978-3-030-90876-8 ISBN 978-3-030-90877-5

3.2.17 Aleksandra Krstikj, Moisés Gerardo Contreras Ruiz Esparza, Jaime Mora-Vargas, and Laura Hervert Escobar        Volunteers in Lockdowns: Decision Support Tool for Allocation of Volunteers During a Lockdown  Humanitarian Logistics from the Disaster Risk Reduction Perspective, Theory and Applications           2022    Springer           ISBN 978-3-030-90876-8 ISBN 978-3-030-90877-5

3.2.16 Fabiola Regis-Hernández, Angel Ruiz, and Jaime Mora-Vargas     A Multi-criteria Decision-Making Framework for the Design of the Relief Distribution Routes       Humanitarian Logistics from the Disaster Risk Reduction Perspective, Theory and Applications  2022    Springer           ISBN 978-3-030-90876-8 ISBN 978-3-030-90877-5

3.2.15 Roberto Castañeda-Maya, Lourdes Loza-Hernandez, Pilar Arroyo, and Jaime Mora-Vargas           An Integrated FAHP-Based Methodology to Compute a Risk Vulnerability Index       Humanitarian Logistics from the Disaster Risk Reduction Perspective, Theory and Applications  2022            Springer           ISBN 978-3-030-90876-8 ISBN 978-3-030-90877-5

3.2.14 Bricia Galindo, Jaime Mora, Gaston Cedillo, and Fabiola Regis     A Genetic Algorithm approach for a Truck and Trailer Routing Problem in a loading/unloading bays application?     MICAI                          

3.2.13 Diana Sánchez-Partida, José-Luis Martínez-Flores, Santiago-Omar Caballero-Morales, Patricia Cano-Olivos, Fabiola Regis-Hernández, Jaime Mora-Vargas, Angel Ruíz, Diana Sánchez-Partida        Reliable Network Design: Case Study    Disaster Risk Reduction in Mexico: Methodologies, Case Studies, and Prospective Views 2021                

3.2.12Diana Sánchez-Partida, José-Luis Martínez-Flores, Santiago-Omar Caballero-Morales, Patricia Cano-Olivos, Irais Mora-Ochomogo, Marco Serrato, Jaime Mora-Vargas, Raha Akhavan-Tabatabaei, Isabel Serrato   Donation management in disaster relief operations: a survey    Disaster Risk Reduction in Mexico: Methodologies, Case Studies, and Prospective Views            2021                

3.2.11 Regis-Hernández F., Mora-Vargas J., Ruiz A. “A methodology to develop a multicriteria framework for a reliable aid distribution”, Book: “Estudios Iberoamericanos en Ingeniería de Tránsito, Transporte y Logística”. Edit by Instituto de Ingeniería de la Universidad Nacional Autónoma de México (II-UNAM). 2018.

 3.2.10 I.E. Buzón-Cantera, A. Ruiz-Bartolomé, J. Mora-Vargas, "Design of contingency plans for natural disasters: the case of the distribution of balanced humanitarian aid and its solution with classical and cutting-edge optimization techniques", Logistics and Supply Chain: Challenges and challenges in Mexico. ISBN 978-607-97037-0-7. Edited by the Universidad Politécnica de Guanajuato. 2016

3.2.9 Sergio Alex Caballero Caballero, Jaime Mora-Vargas, Ivo Erasmo Buzón Cantera, Metaheurisico Hybrid: Evolutionary Computation and Simulated Annealing, Recent Advances in Intelligent Systems, Mexico, 2011. ISBN 978-607-95367-3-2

 3.2.8 Fernández Gudiño Peñaloza, Miguel González-Mendoza, Jaime Mora-Vargas, Neil Hernández Gress, Design of a Hyperheuristic in Evolutionary Computation and Fuzzy Logic for the Optimization of Combined Problems, Advances in Intelligent Systems, Mexico 2010. ISBN 978-607-95367 - 2-5.

3.2.7 Eduardo Castro-Puello, Miguel González-Mendoza, Jaime Mora-Vargas, Applications of Relations and Management of Financial Operations implemented in GPUDP CUDA, Advances in Intelligent Systems, Mexico 2010. ISBN 978-607-95367-2-5.

3.2.6 IV encuentro Red Iberoamericana de Evaluación y decisión Multicriterio RED-M 2009, Implementation of a self-adaptation mutation module by biobjective GA for scheduling in a assembly line with JIT, Nestor Velasco-Bermeo, Jaime Mora-Vargas, Miguel Gonzalez-Mendoza.  2009.  México, ISBN 978-970-764-849-4.

3.2.5 Juan Frausto-Solis, Elizabeth Santiago Del Angel y Jaime Mora-Vargas, “Cosine Policy Iteration for Solving Infinite-Horizon Markov Decision Processes”, Mexican Iinternational Conference on Artificial Intelligence 2009 (MICAI 2009). ISBN: 978-3-642-05257-6   

3.2.4 Ariel Lucien Garcia Gamboa, Neil Hernandez Gress, Miguel Gonzalez-Mendoza y Jaime Mora-Vargas, “Support Vector Optimization through Hybrids: Heuristics and Math Approach”. Mexican Iinternational Conference on Artificial Intelligence 2009 (MICAI 2009). ISBN: 978-3-642-05257-6

3.2.3 Juan Frausto-Solís, Federico Pecina, Jaime Mora-Vargas, "An Efficient Simulated Annealing Algorithm for Feasible Solutions of Course Timetabling", MICAI 2008. Mexican Iinternational Conference on Artificial Intelligence 2008 (MICAI 2008), ISBN: 978-3-540-88635-8

3.2.2 Ariel Garcia-Gamboa, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Jaime Mora-Vargas, Neil Hernández-Gress. Hybrid Fuzzy-SV Clustering for Heart Disease Identification. Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce. Publication Date: Nov. 2006. On page(s): 121-121 ISBN: 0-7695-2731, Digital Object Identifier: 10.1109/CIMCA.2006.114

3.2.1 Ariel Garcia-Gamboa, Neil Hernández-Gress, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Jaime Mora-Vargas. “Initialization and Presolving Strategies to Reduce the SVM Learning Phase Complexity”. Advanced Distributed Systems – 6th International School and Symposium, ISSADS 2006, Guadalajara, México, Springer. ISBN: 3-540-28063-4. Series Lecture Notes in Computer Science.