Portrait of Maikel Leon

AI researcher · Consultant · Educator · Media commentatorInvestigador en IA · Consultor · Educador · Comentarista en medios

Maikel Leon, PhD

Miami, Florida

Making artificial intelligence useful and understandable for organizations, students, and the public, in English and Spanish.Para que la inteligencia artificial sea útil y comprensible para organizaciones, estudiantes y el público, en inglés y en español.

AboutPerfil

Intelligent systems, from theory to practiceSistemas inteligentes, de la teoría a la práctica

Maikel Leon is an artificial intelligence researcher, consultant, and educator. His work sits where AI research meets everyday practice: how organizations adopt and govern generative AI, how AI agents are changing work, and how people can use these tools well. He explains AI in English and Spanish to boardrooms, classrooms, and television audiences.

PhD in Computer Science and Artificial Intelligence, Hasselt University, Belgium, with doctoral research applying AI to transportation

Maikel Leon es investigador en inteligencia artificial, consultor y educador. Su trabajo se sitúa donde la investigación en IA se encuentra con la práctica cotidiana: cómo las organizaciones adoptan y gobiernan la IA generativa, cómo los agentes de IA están transformando el trabajo y cómo las personas pueden usar bien estas herramientas. Explica la IA en inglés y en español a juntas directivas, aulas y audiencias de televisión.

Doctorado en Ciencias de la Computación e Inteligencia Artificial, Universidad de Hasselt, Bélgica, con una tesis sobre IA aplicada al transporte

SkillsCompetencias

AI and machine learningIA y aprendizaje automático

  • Machine learningAprendizaje automático
  • Deep learningAprendizaje profundo
  • Neural networksRedes neuronales
  • Reinforcement learningAprendizaje por refuerzo
  • Optimization algorithmsAlgoritmos de optimización
  • Swarm intelligenceInteligencia de enjambre
  • Pattern classificationClasificación de patrones
  • ClusteringAgrupamiento

Fuzzy and knowledge-based systemsSistemas difusos y basados en conocimiento

  • Fuzzy cognitive mapsMapas cognitivos difusos
  • Fuzzy logicLógica difusa
  • Complex systems modelingModelado de sistemas complejos
  • Scenario analysisAnálisis de escenarios
  • Travel behavior modelingModelado del comportamiento de viaje
  • Knowledge representationRepresentación del conocimiento
  • Knowledge engineeringIngeniería del conocimiento
  • Case-based reasoningRazonamiento basado en casos
  • Neuro-symbolic AIIA neurosimbólica
  • Prolog

Generative AI and language modelsIA generativa y modelos de lenguaje

  • Generative AIIA generativa
  • Large language modelsGrandes modelos de lenguaje
  • Agentic AIIA agéntica
  • Prompt engineeringIngeniería de prompts
  • LLM evaluation and benchmarkingEvaluación comparativa de LLM
  • Natural language processingProcesamiento del lenguaje natural
  • Sentiment analysisAnálisis de sentimiento

Responsible AIIA responsable

  • Explainable AIIA explicable
  • Model interpretabilityInterpretabilidad de modelos
  • AI governanceGobernanza de la IA
  • AI regulation and policyRegulación y políticas de IA
  • AI safetySeguridad de la IA
  • AI ethics and fairnessÉtica y equidad en IA
  • Sustainable AIIA sostenible

Data and programmingDatos y programación

  • Python programmingProgramación en Python
  • AlgorithmsAlgoritmos
  • Scientific software developmentDesarrollo de software científico
  • Database managementGestión de bases de datos
  • SQL
  • Data miningMinería de datos
  • Business analyticsAnalítica de negocios
  • Business intelligenceInteligencia de negocios

Business and strategyNegocios y estrategia

  • Decision support systemsSistemas de apoyo a la decisión
  • Management information systemsSistemas de información gerencial
  • Digital transformationTransformación digital
  • AI strategy and adoptionEstrategia y adopción de IA
  • AI and the future of workIA y el futuro del trabajo
  • Innovation and entrepreneurshipInnovación y emprendimiento

EducationEducación

  • AI in educationIA en la educación
  • Intelligent tutoring systemsSistemas de tutoría inteligentes
  • Concept mapsMapas conceptuales
  • Personalized learningAprendizaje personalizado
  • Problem-based learningAprendizaje basado en problemas
  • Course designDiseño de cursos

Research and communicationInvestigación y comunicación

  • Systematic reviewsRevisiones sistemáticas
  • Science communicationDivulgación científica
ResearchInvestigación

Current focusLíneas actuales

Recent work examines agentic AI and its effects on labor markets, AI governance and safety, fuzzy cognitive maps, optimization methods for deep learning, personalized tutoring with generative models, and the rigorous evaluation and benchmarking of large language models.

Su trabajo reciente estudia la IA agéntica y sus efectos en el mercado laboral, la gobernanza y seguridad de la IA, los mapas cognitivos difusos, los métodos de optimización para aprendizaje profundo, la tutoría personalizada con modelos generativos y la evaluación rigurosa de grandes modelos de lenguaje.

  • AI governance and safetyGobernanza y seguridad de la IA
  • Machine learningAprendizaje automático
  • Agentic AIIA agéntica
  • Generative AIIA generativa
  • LLM evaluationEvaluación de LLM
  • Explainable AIIA explicable
  • Deep learning optimizationOptimización en aprendizaje profundo
  • Fuzzy cognitive mapsMapas cognitivos difusos
1,131citationscitas 20h-indexíndice h

Google Scholar

PublicationsPublicaciones

Journal articlesArtículos en revistas

IF: journal impact factor.FI: factor de impacto de la revista.

2026

  1. 2026
    Governing generative AI in organizations: A design theory and quasi-experimental field study of sociotechnical guardrailsLeon, M. The Journal of Supercomputing, 82(12), 641doi:10.1007/s11227-026-08760-7IF 3.5PDF
  2. 2026
    Layerwise conditioned backpropagation: A curvature-aware reparameterization of the backward pass with convergence guaranteesLeon, M. Big Data and Cognitive Computing, 10(8), 272doi:10.3390/bdcc10080272IF 5.3
  3. 2026
    Agentic AI and labor disruption: A comprehensive review, measurement, and policy frameworkLeon, M. Journal of Engineering and Technology Management, 81, 101993doi:10.1016/j.jengtecman.2026.101993IF 4.3

More from 2026Más de 2026

8
  1. 2026
    Publisher-built generative AI assistants in U.S. higher education: A critical review and a reproducible TRIAD–JTBD evaluation frameworkLeon, M. Algorithms, 19(6), 492doi:10.3390/a19060492IF 2.6PDF
  2. 2026
    Generative AI as a general-purpose technology: Foundations, applications, and labor market implications through 2030Leon, M. Big Data and Cognitive Computing, 10(3), 69doi:10.3390/bdcc10030069IF 5.3PDF
  3. 2026
    Investing in AI interpretability, control, and robustnessLeon, M. Algorithms, 19(2), 136doi:10.3390/a19020136IF 2.6PDF
  4. 2026
    Lifecycle-based governance to build reliable ethical AI systemsLeon, M. Systems Research and Behavioral Science, 43(3), 1116–1132doi:10.1002/sres.70014IF 1.8PDF
  5. 2026
    A review on fuzzy cognitive mapping: Recent advances and algorithmsNápoles, G., Jastrzębska, A., Grau, I., Salgueiro, Y., & Leon, M. Big Data and Cognitive Computing, 10(1), 22doi:10.3390/bdcc10010022IF 5.3PDF
  6. 2026
    Fuzzy cognitive maps: A comprehensive survey and comparative analysisLeon, M. Computers, Materials & Continuadoi:10.32604/cmc.2026.087930IF 2.4PDF
  7. 2026
    Cognitive mapping variants and their training algorithmsLeon, M. Computer Science Review, 59, 100862doi:10.1016/j.cosrev.2025.100862IF 17.5
  8. 2026
    GPT-5 and open-weight large language models: Advances in reasoning, transparency, and controlLeon, M. Information Systems, 136, 102620doi:10.1016/j.is.2025.102620IF 4.0

EarlierAnteriores

6
  1. 2023
    Prolog-based agnostic explanation module for structured pattern classificationNápoles, G., Hoitsma, F., Knoben, A., Jastrzębska, A., & Leon, M. Information Sciences, 622, 1196–1227doi:10.1016/j.ins.2022.12.012IF 6.0
  2. 2023
    Recurrence-aware long-term cognitive network for explainable pattern classificationNápoles, G., Salgueiro, Y., Grau, I., & Leon, M. IEEE Transactions on Cybernetics, 53(10), 6083–6094doi:10.1109/tcyb.2022.3165104IF 11.3Open accessAcceso abierto
  3. 2018
    FCM Expert: Software tool for scenario analysis and pattern classification based on fuzzy cognitive mapsNápoles, G., Leon, M., Grau, I., & Vanhoof, K. International Journal on Artificial Intelligence Tools, 27(7), 1860010doi:10.1142/s0218213018600102IF 1.0Open accessAcceso abiertoFCM Expert websiteSitio de FCM ExpertVideo demoVideo demostrativo
  4. 2014
    Learning and clustering of fuzzy cognitive maps for travel behaviour analysisLeon, M., Mkrtchyan, L., Depaire, B., Ruan, D., & Vanhoof, K. Knowledge and Information Systems, 39(2), 435–462doi:10.1007/s10115-013-0616-zIF 3.6
  5. 2013
    Tackling travel behaviour: An approach based on fuzzy cognitive mapsLeon, M., Nápoles, G., Bello, R., Mkrtchyan, L., Depaire, B., & Vanhoof, K. International Journal of Computational Intelligence Systems, 6(6), 1012–1039doi:10.1080/18756891.2013.816025IF 4.0PDF
  6. 2012
    Mental maps and travel behaviour: Meanings and modelsHannes, E., Kusumastuti, D., Leon, M., Janssens, D., Vanhoof, K., & Wets, G. Journal of Geographical Systems, 14(2), 143–165doi:10.1007/s10109-010-0144-2IF 2.8

All works in ORCIDTodas las obras en ORCID

95
  1. 2026Enduring Strengths of Knowledge-Based Methods in the Era of Machine Learning and Large Language Models: A Task-and-Architecture PerspectiveWSEAS Transactions on Systems · Journal articleArtículoPDF
  2. 2026The Reversed Turing Test: Measuring Superhuman AI Performance Beyond ImitationWSEAS Transactions on Computer Research · Journal articleArtículoPDF
  3. 2026Governing generative AI in organizations: A design theory and quasi-experimental field study of sociotechnical guardrailsThe Journal of Supercomputing · Journal articleArtículoPDF
  4. 2026Layerwise conditioned backpropagation: A curvature-aware reparameterization of the backward pass with convergence guaranteesBig Data and Cognitive Computing · Journal articleArtículo
  5. 2026Agentic AI and labor disruption: A comprehensive review, measurement, and policy frameworkJournal of Engineering and Technology Management · Journal articleArtículo
  6. 2026Publisher-built generative AI assistants in U.S. higher education: A critical review and a reproducible TRIAD–JTBD evaluation frameworkAlgorithms · Journal articleArtículoPDF
  7. 2026Inaugural editorial for Discover InformaticsDiscover Informatics · Journal articleArtículoPDF
  8. 2026Emerging AI TrendsThe International FLAIRS Conference Proceedings · Journal articleArtículoPDF
  9. 2026Domain-Specificity of Refusal Representations in Large Language ModelsThe International FLAIRS Conference Proceedings · Journal articleArtículoPDF
  10. 2026Auditing Abliteration: Normalization Placement, Edit Budget, and Transfer in Single-Direction Refusal RemovalIEEE Opportunity Research Scholars Symposium (ORSS) · Conference paperPonencia
  11. 2026Non-Stationary Spectral Decomposition Network: Adaptive Spectral Emission Heads and Frequency ModulationIEEE Opportunity Research Scholars Symposium (ORSS) · Conference paperPonencia
  12. 2026Framework for the Ethical and Societally Conscious AI DeploymentWSEAS Transactions on Information Science and Applications · Journal articleArtículoPDF
  13. 2026Generative AI as a general-purpose technology: Foundations, applications, and labor market implications through 2030Big Data and Cognitive Computing · Journal articleArtículoPDF
  14. 2026Investing in AI interpretability, control, and robustnessAlgorithms · Journal articleArtículoPDF
  15. 2026Lifecycle-based governance to build reliable ethical AI systemsSystems Research and Behavioral Science · Journal articleArtículoPDF
  16. 2026Responsible Machine Learning Deployment: Imperative Framework for Ethical ActionWSEAS Transactions on Computer Research · Journal articleArtículoPDF
  17. 2026A review on fuzzy cognitive mapping: Recent advances and algorithmsBig Data and Cognitive Computing · Journal articleArtículoPDF
  18. 2026Fuzzy cognitive maps: A comprehensive survey and comparative analysisComputers, Materials & Continua · Journal articleArtículoPDF
  19. 2026AI Safety Practices and Public Perception: Historical Analysis, Survey Insights, and a Weighted Scoring Framework (Corrected and Republished Article)SSRN Electronic Journal · PreprintPreprint
  20. 2026Sentiment Analysis: From Rule-Based Lexicons to Large Language Models (Corrected and Republished Article)SSRN Electronic Journal · PreprintPreprint
  21. 2026Cognitive mapping variants and their training algorithmsComputer Science Review · Journal articleArtículo
  22. 2026GPT-5 and open-weight large language models: Advances in reasoning, transparency, and controlInformation Systems · Journal articleArtículo
  23. 2025AI-Driven Transformation: Methodologies, Governance, and Strategic ImperativesWSEAS Transactions on Business and Economics · Journal articleArtículoPDF
  24. 2025From Lexicons to Transformers: An AI View of Sentiment AnalysisJournal of Intelligent Communication · Journal articleArtículoPDF
  25. 2025Toward Robust and Scalable Evaluation of AI Models: Past Practices, Current Tooling and Future DirectionsCOJ Electronics & Communications · Journal articleArtículoPDF
  26. 2025Magnetic AI Explainability: Retrofit Agents for Post-Hoc Transparency in Deployed Machine-Learning SystemsJournal of Engineering Research and Sciences · Journal articleArtículo
  27. 2025Advancing Equitable and Transparent Machine Learning across Business, Computing, and Engineering InnovationsResearch & Development in Material Science · Journal articleArtículoPDF
  28. 2025Principles for Deploying Responsible Machine Learning ModelsBiomedical Journal of Scientific & Technical Research · Journal articleArtículoPDF
  29. 2025GAIL: Enhancing Student Engagement and ProductivityThe International FLAIRS Conference Proceedings · Journal articleArtículoPDF
  30. 2025AI-Driven Digital Transformation: Challenges and OpportunitiesJournal of Engineering Research and Sciences · Journal articleArtículo
  31. 2025Machine Learning Detection of IPKVM Exploitation in Online Exam Environments2025 IEEE Opportunity Research Scholars Symposium (ORSS) · Conference paperPonencia
  32. 2025Generative Artificial Intelligence and Prompt Engineering: A Comprehensive Guide to Models, Methods, and Best PracticesAdvances in Science, Technology and Engineering Systems Journal · Journal articleArtículoPDF
  33. 2025Principles for Deploying Responsible Machine Learning ModelsInternational Journal of Computers · Journal articleArtículo
  34. 2025GenAI-Driven Pedagogy: Transforming EducationThe Cuban Scientist · Journal articleArtículo
  35. 2025Artificial Intelligence: Evolution, Challenges, Future and GovernanceInternational Journal of Computers · Journal articleArtículo
  36. 2024The Escalating AI’s Energy Demands and the Imperative Need for Sustainable SolutionsWSEAS Transactions on Systems · Journal articleArtículoPDF
  37. 2024Generative AI as a New Paradigm for Personalized Tutoring in Modern EducationInternational Journal on Integrating Technology in Education · Journal articleArtículoPDF
  38. 2024Harnessing Fuzzy Cognitive Maps for Advancing AI with Hybrid Interpretability and Learning SolutionsAdvanced Computing: An International Journal · Journal articleArtículoPDF
  39. 2024Advancements in Explainable Artificial Intelligence for Enhanced Transparency and Interpretability across Business ApplicationsAdvances in Science, Technology and Engineering Systems Journal · Journal articleArtículoPDF
  40. 2024Fuzzy Cognitive Maps Bridging Transparency and Performance in Hybrid AI SystemsInternational Journal on Soft Computing · Journal articleArtículoPDF
  41. 2024Leveraging Generative AI for On-Demand Tutoring as a New Paradigm in EducationInternational Journal on Cybernetics & Informatics · Journal articleArtículoPDF
  42. 2024The Needed Bridge Connecting Symbolic and Sub-Symbolic AIInternational Journal of Computer Science, Engineering and Information Technology · Journal articleArtículoPDF
  43. 2024Benchmarking Large Language Models with a Unified Performance Ranking MetricInternational Journal in Foundations of Computer Science & Technology · Journal articleArtículoPDF
  44. 2024Comparing LLMs using a Unified Performance Ranking SystemInternational Journal of Artificial Intelligence & Applications · Journal articleArtículoPDF
  45. 2024Fuzzy Cognitive Maps as a Bridge between Symbolic and Sub-Symbolic Artificial IntelligenceInternational Journal on Cybernetics & Informatics · Journal articleArtículoPDF
  46. 2024Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart ContractsThe International FLAIRS Conference Proceedings · Journal articleArtículoPDF
  47. 2024Leveraging Explainable AI in Business and FurtherIEEE Opportunity Research Scholars Symposium (ORSS) · Conference paperPonencia
  48. 2024Explainable AI: The Quest for Transparency in Business and BeyondInternational Conference on Information and Computer Technologies (ICICT) · Conference paperPonencia
  49. 2024Toward the Application of the Problem-Based Learning Paradigm into the Instruction of Business Technology and InnovationInternational Journal of Learning and Teaching · Journal articleArtículo
  50. 2023Business Technology and Innovation Through Problem-Based LearningCanada International Conference on Education and World Congress on Education (CICE/WCE) · Book chapterCapítulo de libro
  51. 2023Aggregating Procedure for Fuzzy Cognitive MapsThe International FLAIRS Conference Proceedings · Conference paperPonenciaPDF
  52. 2023Prolog-based agnostic explanation module for structured pattern classificationInformation Sciences · Journal articleArtículo
  53. 2023Recurrence-aware long-term cognitive network for explainable pattern classificationIEEE Transactions on Cybernetics · Journal articleArtículoOpen accessAcceso abierto
  54. 2020Symbolic Explanation Module for Fuzzy Cognitive Map-Based Reasoning ModelsLecture Notes in Computer Science · Book chapterCapítulo de libro
  55. 2019Fuzzy Cognitive Modeling: Theoretical and Practical ConsiderationsSmart Innovation, Systems and Technologies · Book chapterCapítulo de libro
  56. 2018FCM Expert: Software tool for scenario analysis and pattern classification based on fuzzy cognitive mapsInternational Journal of Artificial Intelligence Tools · Journal articleArtículoOpen accessAcceso abierto
  57. 2018Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and ChallengesStudies in Fuzziness and Soft Computing · Book chapterCapítulo de libro
  58. 2017Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern ClassificationIEEE International Conference on Tools with Artificial Intelligence (ICTAI) · Conference paperPonencia
  59. 2016Analyzing the impact of the adaptive clearing mechanism on algorithm accuracy in Variable Mesh OptimizationIEEE Symposium Series on Computational Intelligence (SSCI) · Conference paperPonenciaOpen accessAcceso abierto
  60. 2016Modeling and Experimentation Framework for Fuzzy Cognitive MapsProceedings of the AAAI Conference on Artificial Intelligence · Journal articleArtículo
  61. 2015A computational tool for simulation and learning of Fuzzy Cognitive MapsIEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · Conference paperPonenciaOpen accessAcceso abierto
  62. 2015Methods for the construction of fuzzy cognitive maps and their applicationsAnales de la Academia de Ciencias de Cuba · Journal articleArtículo
  63. 2014Learning and clustering of fuzzy cognitive maps for travel behaviour analysisKnowledge and Information Systems · Journal articleArtículo
  64. 2013A Travel Behaviour Study Through Learning and Clustering of Fuzzy Cognitive MapsAtlantis Computational Intelligence Systems · Book chapterCapítulo de libro
  65. 2013Fuzzy Cognitive Maps with Rough ConceptsIFIP Advances in Information and Communication Technology · Book chapterCapítulo de libroPDF
  66. 2013Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive MapsLecture Notes in Computer Science · Conference paperPonencia
  67. 2013Tackling travel behaviour: An approach based on fuzzy cognitive mapsInternational Journal of Computational Intelligence Systems · Journal articleArtículoPDF
  68. 2013Editor de preguntas con evaluación difusaSerie Científica Universidad de las Ciencias Informáticas · Journal articleArtículo
  69. 2012Clustering of Fuzzy Cognitive Maps for Travel Behavior AnalysisAdvances in Intelligent Systems and Computing · Conference paperPonencia
  70. 2012Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug ResistanceLecture Notes in Computer Science · Conference paperPonencia
  71. 2012Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour ModellingLecture Notes in Computer Science · Conference paperPonencia
  72. 2012Mental maps and travel behaviour: Meanings and modelsJournal of Geographical Systems · Journal articleArtículo
  73. 2012A Fuzzy Cognitive Maps Based Model for Individual Travel BehaviourHasselt University · OtherOtro
  74. 2012Aprendizaje inspirado en optimización basada en partículas de mapas cognitivos difusosCiencias Matemáticas · Journal articleArtículo
  75. 2011A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex SystemLecture Notes in Computer Science · Conference paperPonencia
  76. 2011Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and LearningLecture Notes in Computer Science · Conference paperPonencia
  77. 2010A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior SciencesPolibits · Journal articleArtículoPDF
  78. 2010Fuzzy Cognitive Maps for Modeling Complex SystemsLecture Notes in Computer Science · Conference paperPonencia
  79. 2009Cognitive Maps in Transport BehaviorMexican International Conference on Artificial Intelligence · Conference paperPonencia
  80. 2009CONSIDERING ARTIFICIAL INTELLIGENCE TECHNIQUES TO PERFORM ADAPTABLE KNOWLEDGE STRUCTURESInternational Conference on Intelligent Systems and Knowledge Engineering (ISKE) · Book chapterCapítulo de libro
  81. 2009Adaptability through Artificial Intelligence Techniques8th Mexican International Conference on Artificial Intelligence · Conference paperPonencia
  82. 2009Modeling Multiple Meanings of Mental Maps12th International Conference on Travel Behaviour Research (IATBR), Jaipur, India · Conference paperPonencia
  83. 2008Combining Concept Maps and Petri Nets to Generate Intelligent Tutoring Systems: A Possible ApproachLecture Notes in Computer Science · Book chapterCapítulo de libro
  84. 2008Combining Concept Maps and Petri Nets to Generate Intelligent Tutoring SystemsLogic and Theory of Algorithms · Journal articleArtículo
  85. 2008La Inteligencia Artificial en la Informática EducativaRevista de Informática Educativa y Medios Audiovisuales · Journal articleArtículo
  86. 2008Modelación de la evaluación en un editor de preguntas a través de la Lógica Difusa para Sistemas de Enseñanza-Aprendizaje InteligentesXIV Latin Ibero-American Congress on Operations Research (CLAIO), Colombia · Conference paperPonencia
  87. 2008Sistema de enseñanza/aprendizaje inteligente para grafosActa Latinoamericana de Matemática Educativa · Journal articleArtículo
  88. 2007Two Approaches to Generate Intelligent Teaching-Learning Systems Using Artificial Intelligence TechniquesMexican International Conference on Artificial Intelligence · Conference paperPonencia
  89. 2007Features Selection Through FS-Testors in Case-Based Systems of Teaching-LearningLecture Notes in Computer Science · Conference paperPonencia
  90. 2007Concept Maps Combined with Case-Based Reasoning in Order to Elaborate Intelligent Teaching/Learning SystemsInternational Conference on Intelligent Systems Design and Applications (ISDA) · Conference paperPonencia
  91. 2007Concept maps and case-based reasoningEuro American Conference on Telematics and Information Systems · Conference paperPonencia
  92. 2007Generating Intelligent Teaching-Learning Systems using Concept Maps and Case-Based ReasoningRevista Avances en Sistemas e Informática · Journal articleArtículo
  93. 2007Nuevo enfoque para desarrollar sistemas de enseñanza-aprendizaje inteligentes usando mapas conceptuales y razonamiento basado en casosRevista Cubana de Ciencias Informáticas · Journal articleArtículo
  94. 2007Sistemas basados en conocimiento usando PrologRevista Cubana de Ciencias Informáticas · Journal articleArtículo
  95. 2006Mapas Conceptuales y Redes Bayesianas en los Sistemas de Enseñanza/Aprendizaje InteligentesCongreso Internacional de Informática Educativa, Costa Rica · Conference paperPonencia

Conference papers and full list on Google ScholarPonencias y lista completa en Google Scholar

ConsultingConsultoría

ML Education & Consulting LLC

Through his firm, ML Education & Consulting LLC, Maikel Leon delivers education and consulting on artificial intelligence and business technology, in English or Spanish. Clients have included leading publishers, universities, insurance companies, and banks. Organizations interested in a program or advisory work for their teams are welcome to get in touch.

A través de su empresa, ML Education & Consulting LLC, Maikel Leon ofrece educación y consultoría en inteligencia artificial y tecnología de negocios, en inglés o en español. Entre sus clientes figuran grandes editoriales, universidades, aseguradoras y bancos. Las organizaciones interesadas en un programa o asesoría para sus equipos pueden escribirle.

Get in touchContacto

TeachingDocencia

Teaching at the University of MiamiDocencia en la Universidad de Miami

Since 2015, Maikel Leon has taught at the University of Miami Business School, where he is an Associate Professor of Professional Practice in the Department of Business Technology and an AI Fellow of the Intelligent Computer Systems Research Institute. He previously served as Associate Director of the institute (2025–2026) and directed the Master of Science in Business Technology program (2024–2025).

Desde 2015, Maikel Leon enseña en la Escuela de Negocios de la Universidad de Miami, donde es Profesor Asociado de Práctica Profesional en el Departamento de Tecnología de Negocios y AI Fellow del Intelligent Computer Systems Research Institute. Antes fue Director Asociado del instituto (2025–2026) y dirigió la Maestría en Ciencias en Tecnología de Negocios (2024–2025).

● Course content creatorCreador del contenido del curso

UndergraduatePregrado

10
  • BUS 150Business Analytics●
  • BTE 210Fundamentals of Business Technology & Innovation●
  • BTE 271Generative Artificial Intelligence for Business Technology●
  • BTE 320Programming: Fundamentals and Algorithms●
  • BTE 371Foundations of AI for Business Technology●
  • BTE 413Introduction to Machine Learning in Business Technology●
  • BTE 416AI Agents for Business Technology
  • BTE 423Database Management Systems●
  • BTE 471Artificial Intelligence Programming for Business Management●
  • BTE 499Special Topics in Business Technology●

GraduatePosgrado

7
  • BTE 601Python Programming●
  • BTE 609Artificial Intelligence for Business
  • BTE 613Business Intelligence Technologies
  • BTE 620Database Development for High-Performance Computing
  • BTE 621Management Information Systems
  • BTE 661AI: Principles and Techniques
  • BUS 663Entrepreneurship & Innovation

Undergraduate researchInvestigación de pregrado

Undergraduates he mentors co-author peer-reviewed papers with him and present them at venues such as FLAIRS and the IEEE Opportunity Research Scholars Symposium (read the story). Students who want to join an AI research project are welcome to get in touch.

Los estudiantes de pregrado bajo su mentoría publican con él artículos arbitrados y los presentan en foros como FLAIRS y el IEEE Opportunity Research Scholars Symposium (leer la nota). Quienes deseen sumarse a un proyecto de investigación en IA pueden escribirle.

Papers with studentsArtículos con estudiantes

8
  1. 2026
    Domain-Specificity of Refusal Representations in Large Language ModelsCharlie Tucker & Maikel Leon · The International FLAIRS Conference Proceedings, 39(1)doi:10.32473/flairs.39.1.141620Best Poster AwardPremio al Mejor PósterPDF
  2. 2026
    Auditing Abliteration: Normalization Placement, Edit Budget, and Transfer in Single-Direction Refusal RemovalCharlie Tucker & Maikel Leon · IEEE Opportunity Research Scholars Symposium (ORSS), 1–5doi:10.1109/orss71174.2026.11684276
  3. 2026
    Non-Stationary Spectral Decomposition Network: Adaptive Spectral Emission Heads and Frequency ModulationNikhil Sunder & Maikel Leon · IEEE Opportunity Research Scholars Symposium (ORSS), 1–5doi:10.1109/orss71174.2026.11684282CodeCódigo
  4. 2025
    Machine Learning Detection of IPKVM Exploitation in Online Exam EnvironmentsJonathan Kats & Maikel Leon · 2025 IEEE Opportunity Research Scholars Symposium (ORSS), 1–5doi:10.1109/orss66051.2025.11121637
  5. 2024
    Advancements in Explainable Artificial Intelligence for Enhanced Transparency and Interpretability across Business ApplicationsMaikel Leon & Hanna DeSimone · Advances in Science, Technology and Engineering Systems Journal, 9(5), 9–20doi:10.25046/aj090502PDF
  6. 2024
    Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart ContractsEmily Struble, Maikel Leon & Erotokritos Skordilis · The International FLAIRS Conference Proceedings, 37doi:10.32473/flairs.37.1.135349PDF
  7. 2024
    Leveraging Explainable AI in Business and FurtherHanna DeSimone & Maikel Leon · IEEE Opportunity Research Scholars Symposium (ORSS), 1–6doi:10.1109/orss62274.2024.10697961
  8. 2024
    Explainable AI: The Quest for Transparency in Business and BeyondHanna DeSimone & Maikel Leon · International Conference on Information and Computer Technologies (ICICT), 532–538doi:10.1109/icict62343.2024.00093
MediaMedios

Media and talksMedios y conferencias

Media and speaking inquiriesSolicitudes de medios y conferencias

Available for interviews and talks in English and Spanish on:

Disponible para entrevistas y conferencias en inglés y en español sobre:

  • AI and the future of workIA y el futuro del trabajo
  • Generative AI and AI agents in businessIA generativa y agentes de IA en los negocios
  • AI governance and regulationGobernanza y regulación de la IA
  • Deepfakes and misinformationDeepfakes y desinformación
  • U.S.–China technology competitionCompetencia tecnológica entre EE. UU. y China
  • Robotics and autonomous vehiclesRobótica y vehículos autónomos

Get in touchContacto

On television and in the newsEn televisión y en la prensa

  • News@TheU · University of MiamiUndergraduate AI researchers at Miami Herbert present work on national stage2026 · ReadLeer
  • Univision · Despierta AméricaInteligencia artificial: ¿debemos preocuparnos?2023 · WatchVer
  • CNN en Español · Oppenheimer PresentaLos autos del futuro2018 · WatchVer

More appearancesMás apariciones

7

Talks and sessions chairedConferencias y sesiones presididas

4
  • 2022–26Instructor, "Digital Transformation for Community Development," UStart@Miami
  • 2024Chair, University of Miami Student Research SymposiumPresidente, Simposio de Investigación Estudiantil de la Universidad de Miami
  • 2023Session chair, "Learning/Teaching Methodologies and Assessment," 13th Canada International Conference on Education (CICE 2023)Presidente de sesión, "Learning/Teaching Methodologies and Assessment," 13.ª Conferencia Internacional de Educación de Canadá (CICE 2023)
  • 2023Chair, TECHXPLORER 2023, Ecuadorian Chamber of Innovation and Technology and Ecuadorian Federation of Exporters, MiamiPresidente, TECHXPLORER 2023, Cámara Ecuatoriana de Innovación y Tecnología y Federación Ecuatoriana de Exportadores, Miami
HonorsPremios

Awards and recognitionPremios y reconocimientos

  • 2026Best Poster Award (with Charlie Tucker), 39th International Florida Artificial Intelligence Research Society Conference (FLAIRS), Marco Island, FloridaPremio al Mejor Póster (con Charlie Tucker), 39.ª Conferencia Internacional de la Florida Artificial Intelligence Research Society (FLAIRS), Marco Island, Florida
  • 2017Best Paper Award (with Gonzalo Nápoles, Isel Grau, and Koen Vanhoof), 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), BostonPremio al Mejor Artículo (con Gonzalo Nápoles, Isel Grau y Koen Vanhoof), 29.ª Conferencia Internacional IEEE sobre Herramientas con Inteligencia Artificial (ICTAI), Boston
  • 2015Award for the Most Relevant Research in Computer Science, Cuban National Academy of SciencesPremio a la investigación más relevante en Ciencias de la Computación, Academia de Ciencias de Cuba

Certifications and fellowshipsCertificaciones y becas

5
  • 2026Teaching with AI, Harvard Business Impact CertificateTeaching with AI, certificado de Harvard Business Impact
  • 2024Oracle Cloud Infrastructure Generative AI Certified Professional
  • 2024Fundamentals of Case Teaching, Harvard Business Publishing CertificateFundamentals of Case Teaching, certificado de Harvard Business Publishing
  • 2022–23UM QEP Faculty Fellow, Problem-Based Learning and Collaborative Online International Learning tracksUM QEP Faculty Fellow, programas de aprendizaje basado en problemas y aprendizaje internacional colaborativo en línea
  • 2021AWS Academy Educator Certified Professional
ServiceServicio

Editorial and professional serviceServicio editorial y profesional

  • EditorialEditorial Board Member, Discover Informatics (Springer Nature); Guest Editor, Algorithms special issue "AI-Driven Business Analytics Revolution" (2025–2026)Miembro del Consejo Editorial, Discover Informatics (Springer Nature); Editor invitado, número especial de Algorithms "AI-Driven Business Analytics Revolution" (2025–2026)
  • CommitteesProgram Committee, FLAIRS Conference, IEEE CISDA, and IEEE ORSSComité de programa, conferencia FLAIRS, IEEE CISDA e IEEE ORSS

Journals reviewed forRevisor de revistas

30
  • ElsevierApplied Soft Computing · Information Sciences · Intelligent Systems with Applications · Technological Forecasting and Social Change · World Development Sustainability
  • IEEEIEEE Transactions on Computational Social Systems · IEEE Transactions on Fuzzy Systems · IEEE Transactions on Neural Networks and Learning Systems · IEEE Transactions on Pattern Analysis and Machine Intelligence
  • MDPIAlgorithms · Applied Sciences · Applied System Innovation · Behavioral Sciences · Big Data and Cognitive Computing · Bioengineering · Biomimetics · Computers · Information · Journal of Risk and Financial Management · Machine Learning and Knowledge Extraction · Mathematical and Computational Applications · Prosthesis · Sensors · Sustainability · Systems · Technologies
  • Springer NatureBMC Public Health · Knowledge and Information Systems · Soft Computing
  • Taylor & FrancisJournal of Experimental & Theoretical Artificial Intelligence
ContactContacto

Get in touchEscríbame

ML Education & Consulting LLC

Consulting and educationConsultoría y educación

University of MiamiUniversidad de Miami
mleon@miami.edu

Teaching, students, research, and media requestsDocencia, estudiantes, investigación y solicitudes de medios