Octavio Loyola-González
21+ years applying AI
50+ projects (AI & GenAI)
2.8k+ citations
20+ events as Organizing Committee
Reviewer for 20+ journals
14+ international awards

Hi, I'm Octavio

I received my Ph.D. in Computer Science from the National Institute for Astrophysics, Optics, and Electronics (Mexico 🇲🇽) in 2017. Over my career, I have won several awards from different institutions for my applied research.

With over 20 years of experience in advanced analytics (AI & Generative AI), I specialize in solving complex real-world problems. My expertise spans a wide range of industries, including 🔍Criminalistics, 🌾Precision Agriculture, 🏦Banking, Insurance & Financial Services, 🏪Retail & CPG, 🔋Energy & Utilities, 📺Telco & Media, 🛩️Travel & Hospitality, 🏠Real Estate, 🚗Automotive, 🦾Manufacturing, and 🏛️the Public Sector.

As an AI executive and strategic leader, I bridge the gap between deep technical execution and business growth. I have a proven track record of driving high-value deals, managing large-scale client portfolios, and leading high-performing teams of over 100 data scientists toward optimum technical and strategic outcomes. Furthermore, I remain actively involved in the academic community, publishing scientific papers and books in reputable journals to drive the future of AI.

Work Experience (21 years applying AI)

  1. AI Executive Manager

    🇪🇸 NTT DATA

    During my tenure as an AI Executive Consulting Manager at NTT Data, I was responsible for bringing in clients from 🚗automotive, 🦾manufacturing, 🏠real estate, 🏗️infrastructure, and 💼services sectors to close deals related to Advanced Analytics and Artificial Intelligence. I also assisted my colleagues in managing clients from various other sectors including 🏦banking & insurance, 🏪retail & consumer packaged goods, 🔋energy & utilities, 📺telecommunications & media, 🛩️travel & hospitality, and the 🏛️public sector to apply Machine Learning approaches. Furthermore, I was responsible for overseeing the operations and activities of my team of over 100 data scientists, guiding them on an optimum and accurate path, both technically and in terms of business strategy. In parallel, I was actively involved in publishing scientific papers and books in reputable journals to promote advancements in AI research.

  2. AI Executive Manager

    🇪🇸 Stratesys

    As an AI executive manager, I was responsible for overseeing the operations and activities of my team of data scientists and guiding them on an optimum and accurate path. A few of my primary duties as an executive manager was dealing with projects and closing deals with customers from different sectors, such as 🏦 Banking & Financial, 🏪 Retail & CPG, 🪫Energy & Utilities, 📺 Telco & Media, 🛩️ Travel & Hotels and 🏠 Real Estate, among others. I was also required for developing long-term goals for the department, implementing department wide policies, allocating department resources, ensuring that the department budget is being met, giving constructive feedback to employees, and collaborating with others departments. Also, I was reporting the department's progress to upper management. As part of my strategy for growing Stratesys, I have taught data scientists to be experts in different machine learning areas. Also, I continued publishing several scientific papers and books in well-known journals to promote Stratesys's scientific advances.

  3. Senior AI Consultant

    🇦🇪 KAYAK Analytics

    I was responsible for running Machine Learning & Artificial Intelligence practice inside KAYAK Analytics, where I was leading the AI field for applying outstanding machine learning approaches to solve important challenges as anomaly detection on wind turbines & solar inverter, power derating, and predicting global horizontal solar irradiation daily.

  4. Managing Director

    🇪🇸 ALTAIR Consulting

    I was dedicated to the day-to-day operations of Altair's projects (USA, UK, Spain, Mexico). Besides, I was responsible for bringing in clients from different sectors, such as Banking & Financial, Retail & FMCG, Energy, Oil & Gas, and Automotive, for closing deals. Also, I was overseeing and guiding other Altair managers while publishing several scientific papers and books in well-known journals to promote Altair's scientific advances.

  5. AI Executive Manager

    🇪🇸 🇲🇽 ALTAIR Consulting

    I was responsible for running Machine Learning & Artificial Intelligence practice inside Altair Management Consultants, where I was involved in the development and implementation using analytics and data mining in the Altair Compass department (USA, UK, Spain, Mexico). Currently, I was applying outstanding machine learning approaches to important sectors as Banking & Insurance, Retail, Oil&Gas, Agriculture, Cybersecurity, Biotechnology, and Criminalistics. I was publishing several books and papers in well-known journals and obtaining several patents as manager and researcher in Altair Compass.

  6. Founder & CEO

    🇲🇽 Mambolytics

    I was a co-founder of Mambolytics.com involved in solving different practical problems, where it was necessary to apply or create eXplanaible Artificial Intelligence (XAI) models and Deep Learning models for image data.

  7. Professor & Researcher

    🇲🇽 Tecnologico de Monterrey

    I was a distinguished professor and researcher at Tecnologico de Monterrey (Campus Puebla) for undergraduate and graduate programs of Computer Sciences. My research was focused on development of algorithms for: eXplainable Artificial Intelligence (XAI), Contrast and Fuzzy pattern-based classification, Generative adversarial networks (GANs), Bot detection on social media, People behavior on social networks, Data mining and knowledge discovery, Pattern-based One-class classification, Class imbalance problems, and Latent fingerprint and palmprint identification.

  8. Reserach Applied Scientist

    🇨🇺 Centro de Bioplantas

    Developing software and conducting research to address pattern recognition challenges in bioinformatics and precision agriculture involves employing techniques such as data mining, fingerprint recognition, clustering, supervised classification, decision tree induction, and handling class imbalance datasets.

  9. Senior AI Scientist

    🇨🇺 Crime Laboratoy

    Developing software and conducting research to address pattern recognition challenges in bioinformatics and precision agriculture involves employing techniques such as data mining, fingerprint recognition, clustering, supervised classification, decision tree induction, and handling class imbalance datasets.

  10. Network Administrator

    🇨🇺 Provincial Sector of Culture

    Network administrator on the primary node with approximately 30 secondary nodes and more than 500 users.

Projects

I have worked in about 50 projects for several companies, developing advanced analytics (AI & GenAI) models. These models can be classified into the following business approaches:

Automotive Analytics Supply Chain Analytics Financial Analytics People Analytics Customer Analytics Energy Analytics Healthcare Analytics Marketing Analytics Sales Analytics Real Estate Analytics

To develop all these projects I have used different advanced analytics techniques that can be classified as:

eXplainable Artificial Intelligence (XAI)NLP & GenAIComputer VisionSupervised ClassificationClusteringReinforcement LearningProcess MiningAI for IoTAI Ethics and Fairness

Skills

Strategic ConsultingVisionary LeadershipEffective CommunicationDecision-MakingProblem-SolvingMarket & Industry AnalysisStrategic Decision-MakingStakeholder EngagementClient-Focused ApproachCollaboration & TeamworkNegotiation & ConflictCritical ThinkingAdaptabilityClient Relationship
Azure MLWS SageMakerGoogle ColabWEKAKerasPyTorchTensorFlowCelonisKEELPythonSQLC#JavaScriptTypescriptJavaLaTeXTDDScrumKanban

Education

  1. •

    Postdoctoral Fellow

    🇲🇽 Tecnologico de Monterrey

    My research was focused on development of algorithms based on patterns for bot detection. For doing that, I was creating a data mining framework based on C# language. For this research, the contributions were: (i) Mining contrast patterns for bot detection and (ii) Supervised classifiers based on contrast patterns for bot detection.
  2. •

    Ph.D. in Computer Science

    🇲🇽 Instituto Nacional de Astrofíica, Óptica y Electrónica (INAOE)

    My research was focused on development of algorithms based on contrast patterns for class imabalance problems. Best Thesis Award 'José Negrete' for the Doctoral Thesis Category on Artificial Intelligence sponsored by the Mexican Society for Artificial Intelligence (SMIA). Prize winner in the XXXI National Contest of Computer Science Thesis (ANIEI). Prize winner to the best PhD Thesis in the Computer Science Coordination at Instituto Nacional de Astrfofísica, Óptica y Electrónica. This PhD research allowed obtaining 6 JCR, 4 LNCS, and 1 technical report.
  3. •

    Master in Applied Computing

    🇨🇺 University of Ciego de Avila

    Graduated with Honors in Applied Informatics (First class honours). My academic score was 4.6 (max 5). My Thesis was about a framework for fingerprint recognition. In the framework was included several algorithms for fingerprint matching and feature extraction, as well as the evaluation protocol for several fingerprint verification competitions.
  4. •

    Computer Engineer

    🇨🇺 University of Ciego de Avila

    Graduated with Honors of Engineer in Informatics (First class honours). My academic score was 4.96 (max 5) and I got Rector's Prize for Best Graduate at University of Ciego de Ávila. My Thesis was about a new algorithm to induction decision trees based on a cluster quality measure.
  5. •

    Associate Degree in Accounting

    🇨🇺 IP: 'Pablo Elvio Pérez Cabrera'

    Graduated with Honors in Accounting, Finance, and Audit.

Certifications

azure
google
snowflake
snowflake
datarobot
datarobot

Collaborations

PhD Students

    • GraduatedCollaborationKhodadoust, Javad
      Research: A minutiae-based indexing algorithm for latent palmprints
    • GraduatedCo-AdvisorSamper Escalante, Luis Daniel
      Research: Graph-based Classification for Bot Detection on Twitter
    • In Progress (ABD)CollaboratingPérez Sánchez, Ismay
      Research: Fuzzy clustering
    • GraduatedCollaborationValdes Ramirez, Danilo
      Research: Latent Fingerprint Identification

MSc Students

    • GraduatedAdvisorPérez Landa, Gabriel Ichcanziho
      Research: An explainable artificial intelligence model for detecting xenophobic Tweets
    • GraduatedCo-AdvisorMontiel Vázquez, Edwin
      Research: Detecting Empathy on textual communication
    • GraduatedCo-AdvisorRamírez Sáyago, Ernesto
      Research: Combining measures for assessing split candidates in decision tree induction
    • In Progress (ABD)Co-AdvisorOtero Argote, Dachely
      Research: A novel autoencoder proposal based on deep regressors for anomaly detection
    • In Progress (ABD)AdvisorSoto Gómez, Guillermo
      Research: Generative adversarial networks for improving the quality of latent fingerprints
    • GraduatedAdvisorGallegos Salazar, Leslie Marjorie
      Research: Contrast Pattern-based Classification on Sentiment Features for Detecting People with Mental Disorders on Social Media
    • GraduatedCo-AdvisorAguilar Cervantes, Diana Laura
      Research: An Interpretable Autoencoder for Semi-Supervised Anomaly Detection
    • In Progress (ABD)AdvisorZenkl Galaz, Michael Alexander
      Research: An Interpretable Outlier Generation-based Outlier Detector for Categorical Databases
    • GraduatedCollaborationPérez Sánchez, Ismay
      Research: Latent Fingerprint Indexing
    • GraduatedCollaborationCañete Sifuentes, Leonardo Mauricio
      Research: Classification Based on Multivariate Contrast Patterns.

Undergraduate Students

    • GraduatedAdvisor - Research StayRamírez Sáyago, Ernesto
      Research: Developing contrast pattern-based classifiers for one-class and multi-class classification | Deep Learning model for denoising and inpainting latent fingerprints.
    • GraduatedAdvisor - Research StayRuíz Mendoza, Angel Roberto
      Research: Fuzzy decision tree-based Classification
    • GraduatedAdvisor - Research StayAmador Manilla, Carlos Augusto
      Research: Fuzzy decision tree-based Classification
    • GraduatedAdvisor - Research StayNeumann Sánchez, Ian Fernando
      Research: One-class Classification based on contrast patterns

Awards

National Council of Science and Technology
Mexican Researchers System
2022🇲🇽
Tecnologico de Monterrey
Rómulo Garza Research and Innovation Award
2022🇲🇽
Tecnologico de Monterrey
Awarded as Distinguished Professor
2020🇲🇽
CyberDI - International Conference
Best Service Award Active Chair
2019🇨🇳
National Council of Science and Technology
Mexican Researchers System
2018🇲🇽
ANIEI
Prize winner in the XXXI National Contest of Computer Science Thesis
2018🇲🇽
SMIA
Thesis Award 'José Negrete' Doctoral Thesis Category on Artificial Intelligence
2018🇲🇽
INAOE
Prize winner to the best PhD Thesis
2018🇲🇽
Cuban Academy of Sciences
Annual Award: result of most importance and scientific originality
2016🇨🇺
National Council of Science and Technology
Doctoral Fellowship
2013🇲🇽
University of 'Ciego de Avila'
First-Class Honors
2012🇨🇺
The Code Project
Prize winner in Competition
2010🇨🇺
University of 'Ciego de Avila'
Rector's Prize for the Best Graduated
2010🇨🇺
Cuban Academy of Sciences
Annual Award: result of most importance and scientific originality
2010🇨🇺

Software & Code

PBC → Patterns Based Classifiers

PBC is a software for mining and classifiying using contrast patterns. Both (Miner and Classifier) are implemented in Java and Python programing languages.
MultivariatePBC - Weka
PBC4cip - Python
PBC4cip/PBC4occ - Weka

Bagging-RandomMiner → An algorithm for one-class classification

Bagging-RandomMiner is an instance-based-learning algorithm for one-class classification
C#
Python
MapReduce

FPRFramework → Fingerprint Framework

FPRFramework is a SDK for researching in fingerprint and palmprint recognition. This version is restricted only for research purpose while the one in CodeProject is under the CPOL license.
FPRFramework - C#

DMC → Fingerprint/Palmprint Verification & Identification

DMC is a win32 console application for fingerprint and palmprint verifications as well as latent prints identification
FR.DMC - C#

Publications

I'm author of 73 publications (of which 47 JCR and 12 books), being the first author in more than 75%.

    • Q2 : IF 3.6New Evaluation Method for Fuzzy Cluster Validity Indices, IEEE Access, 2025.
    • BookEmbedded Artificial Intelligence: Real-Life Applications and Case Studies, CRC Press | Taylor and Francis Books, 2025.
    • BookThe 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 1, Lecture Notes on Data Engineering and Communications Technologies, 2025.
    • BookThe 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 2, Lecture Notes on Data Engineering and Communications Technologies, 2025.
    • Q2 : IF 4.5Editorial on cyber security intelligence and analytics 2023, Neural Computing and Applications, 2024.
    • Q2 : IF 4.3Enhancing latent palmprints using frequency domain analysis, Intelligent Systems with Applications, 2024.
    • Q2 : IF 4.3A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field, Intelligent Systems with Applications, 2024.
    • Q2 : IF 3.6Botnet Identification on Twitter: A Novel Clustering Approach based on Similarity, IEEE Access, 2024.
    • Q1 : IF 7.6Towards improving decision tree induction by combining split evaluation measures, Knowledge-Based Systems, 2023.
    • BookThe 5th International Conference on Cyber Security Intelligence and Analytics (CSIA 2023), Volume 1, Lecture Notes on Data Engineering and Communications Technologies, 2023.
    • BookThe 5th International Conference on Cyber Security Intelligence and Analytics (CSIA 2023), Volume 2, Lecture Notes on Data Engineering and Communications Technologies, 2023.
    • Q2 : IF 4.5Special issue on artificial intelligence-based techniques and applications for intelligent IoT systems, Neural Computing and Applications, 2022.
    • Q2 : IF 2.5An Explainable Artificial Intelligence Approach for Detecting Empathy in Textual Communication, Applied Sciences, 2022.
    • Q1 : IF 7.5A secure and robust indexing algorithm for distorted fingerprints and latent palmprints, Expert Systems with Applications, 2022.
    • Q1 : IF 7Towards an interpretable autoencoder: A decision-tree-based autoencoder and its application in anomaly detection, Transactions on Dependable and Secure Computing, 2022.
    • Q1 : IF 7.5IOGOD: An Interpretable Outlier Generation-based Outlier Detector for Categorical Databases, Expert Systems with Applications, 2022.
    • Q2 : IF 2.8Process mining: software comparison, trends, and challenges, International Journal of Data Science and Analytics, 2022.
    • ConferenceA Novel Survival Analysis-Based Approach for Predicting Behavioral Probability of Default, Lecture Notes in Computer Science, 2022.
    • ScopusSingle and Multiple Imputation Techniques to Treat Missing Numerical Variables (MNV) in Perspectives of Data Science Project - A Case Study, International Journal of Engineering Trends and Technology, 2022.
    • BookThe 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), Volume 1, Lecture Notes on Data Engineering and Communications Technologies, 2022.
    • BookThe 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), Volume 2, Lecture Notes on Data Engineering and Communications Technologies, 2022.
    • Q1 : IF 5.4Blockchain-based online education content ranking, Education and Information Technologies, 2021.
    • Q2 : IF 2.5An Explainable Approach Based on Emotion and Sentiment Features for Detecting People with Mental Disorders on Social Networks, Applied Sciences, 2021.
    • Q2 : IF 2.5An Explainable Artificial Intelligence Model for Detecting Xenophobic Tweets, Applied Sciences, 2021.
    • ⭐
      Q1 : IF 6.1PBC4occ: A novel contrast pattern-based classifier for one-class classification, Future Generation Computer Systems, 2021.
    • Q2 : IF 3.6An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification, IEEE Access, 2021.
    • Q2 : IF 2.5Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction, Applied Sciences, 2021.
    • Q2 : IF 2.5A Review of Fuzzy and Pattern-Based Approaches for Class Imbalance Problems, Applied Sciences, 2021.
    • Q2 : IF 2.5Bot Datasets on Twitter: Analysis and Challenges, Applied Sciences, 2021.
    • Q1 : IF 7.6Semi-supervised anomaly detection algorithms: A comparative summary and future research directions, Knowledge-Based Systems, 2021.
    • ⭐
      Q1 : IF 28A practical tutorial for decision tree induction: evaluation measures for candidate splits and opportunities, ACM Computing Surveys, 2021.
    • Q : IF 2.5A One-Class-Classification Approach to Creating a Stress-level Curve Plotter through Wearable Measurements and Behavioral Patterns, International Journal on Iteractive Design and Manufacturing, 2021.
    • BookInternational Conference on Cyber Security Intelligence and Analytics (CSIA2021), Volume 1, Advances in Intelligent Systems and Computing, 2021.
    • BookInternational Conference on Cyber Security Intelligence and Analytics (CSIA2021), Volume 2, Advances in Intelligent Systems and Computing, 2021.
    • Q2 : IF 3.6A contrast pattern-based scientometric study of the QS world university ranking, IEEE Access, 2020.
    • ⭐
      Q1 : IF 2.9A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges, Journal of Grid Computing, 2020.
    • Q2 : IF 3.6An Explainable Artificial Intelligence Model for Clustering Numerical Databases, IEEE Access, 2020.
    • Q1 : IF 5.4A one-class classification approach for bot detection on Twitter, Computers & Security, 2020.
    • ConferenceTowards inpainting and denoising latent fingerprints: a study on the impact in latent fingerprint identification, Lecture Notes in Computer Science, 2020.
    • BookProceedings of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), Volume 1, Advances in Intelligent Systems and Computing, 2020.
    • BookProceedings of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), Volume 2, Advances in Intelligent Systems and Computing, 2020.
    • Q2 : IF 3Cluster validation in clustering-based one-class classification, Expert Systems, 2019.
    • ⭐
      Q2 : IF 3.6Black-box vs. white-box: understanding their advantages and weaknesses from a practical point of view, IEEE Access, 2019.
    • Q2 : IF 2.5Pattern-Based and Visual Analytics for Visitor Analysis on Websites, Applied Sciences, 2019.
    • Q2 : IF 2.5Bagging-RandomMiner: A One-class classifier for file accesses-based masquerade detection, Machine Vision and Application, 2019.
    • Q2 : IF 3.6Cost-sensitive pattern-based classification for class imbalance problems, IEEE Access, 2019.
    • Q2 : IF 3.6Classification based on multivariate contrast patterns, IEEE Access, 2019.
    • Q1 : IF 7.5A survey on minutiae-based palmprint feature representations, and a full analysis of palmprint feature representation role in latent identification performance, Expert Systems with Applications, 2019.
    • Q2 : IF 3.6A review of fingerprint feature representations and their applications for latent fingerprint identification: Trends, and evaluation, IEEE Access, 2019.
    • Q2 : IF 3.6Contrast Pattern-based Classification for Bot Detection on Twitter, IEEE Access, 2019.
    • Q2 : IF 3.5A pattern-based approach for detecting pneumatic failures on temporary immersion bioreactors, Sensors, 2019.
    • ⭐
      Q1 : IF 15.5Fusing Approaches of Pattern Discovery and Visual Analytics on Tweet Propagation, Information Fusion, 2019.
    • ScopusImage Annotation as Text-Image Matching: Challenge Design and Results, Computación y Sistema, 2019.
    • ConferenceUnderstanding the criminal behavior in Mexico city through an explainable artificial intelligence model, Lecture Notes in Computer Science, 2019.
    • ConferenceThe Mexican Conference on Pattern Recognition after ten editions: A scientometric study, Lecture Notes in Computer Science, 2019.
    • ConferenceAn approach based on contrast patterns for bot detection on web log files, Lecture Notes in Computer Science, 2018.
    • Q1 : IF 7.5Evaluation of quality measures for contrast patterns by using unseen objects, Expert Systems with Applications, 2017.
    • ⭐
      Q1 : IF 7.6PBC4cip: A New Contrast Pattern-based Classifier for Class Imbalance Problems, Knowledge-Based Systems, 2017.
    • Tec. ReportSupervised classifiers based on emerging patterns for class imbalance problems, Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017.
    • ConferenceA Novel Contrast Pattern Selection Method for Class Imbalance Problems, Lecture Notes in Computer Science, 2017.
    • Q1 : IF 15.5Effect of Class Imbalance on Quality Measures for Contrast Patterns: An Empirical Study, Information Fusion, 2016.
    • Q1 : IF 6.5Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases, Neurocomputing, 2016.
    • Q1 : IF 6.5Latent fingerprint identification using deformable minutiae clustering, Neurocomputing, 2016.
    • ConferenceDetecting Pneumatic Failures on Temporary Immersion Bioreactors, Lecture Notes in Computer Science, 2016.
    • Q4 : IF 1.2Identification of Discriminant Factors after Exposure of Maize and Common Bean Plantlets to Abiotic Stresses, Not Bot Horti Agrobo, 2015.
    • Q3 : IF 1.3Inducing Decision Trees based on a Cluster Quality Index, IEEE Latin America Transactions, 2015.
    • ConferenceCorrelation of Resampling Methods for Contrast Pattern Based Classifiers, Lecture Notes in Computer Science, 2015.
    • Q4 : IF 0.8An Empirical Comparison among Quality Measures for Pattern Based Classifiers, Intelligent Data Analysis, 2014.
    • ConferenceIntroducing an Experimental Framework in C# for Fingerprint Recognition, Lecture Notes in Computer Science, 2014.
    • Q2 : IF 2.2Integrated criteria to identify the best treatment in plant biotechnology experiments, Acta Physiologia Plantarum, 2013.
    • ConferenceComparing Quality Measures for Contrast Pattern Classifiers, Lecture Notes in Computer Science, 2013.
    • ConferenceAn Empirical Study of Oversampling and Undersampling Methods for LCMine an Emerging Pattern Based Classifier, Lecture Notes in Computer Science, 2013.
    • BookInduction of Decision Trees: Inducing Decision Trees based on a Cluster Quality (Spanish Version), Editorial Académica Española. Academic Publishing GmbH & Co. KG., 2012.