Hi, I'm Octavio

Work Experience (20 years applying AI)

1. •

   apr. 2024 - currently

   AI Executive Consulting Manager

   🇪🇸 NTT DATA

   Currently, I'm an AI Executive Consulting Manager at NTT Data. Additionally, I'm responsible for bringing in clients from 🚗automotive, 🦾manufacturing, 🏠real estate, 🏗️infrastructure, and 💼services sectors for closing deals related to Advanced Analytics and Artificial Intelligence. I also assist 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 for applying Machine Learning approaches. I'm responsible for overseeing the operations and activities of my team of data scientists (about 100), guiding them on an optimum and accurate path, both technically and in terms of business strategy. Furthermore, I am actively involved in publishing scientific papers and books in reputable journals to promote advancements in AI research.
2. •

   sep. 2022 - mar. 2024

   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. •

   jun. 2022 - jun. 2023

   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. •

   feb. 2022 - sep. 2022

   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. •

   jun. 2020 - sep. 2022

   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. •

   mar. 2019 - mar. 2021

   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. •

   may. 2017 - feb. 2021

   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. •

   jan. 2005 - jan. 2017

   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. •

   sep. 2007 - aug. 2010

   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. •

    nov. 2000 - dec. 2004

    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 45 projects for several companies, developing advanced analytics (AI & GenAI) models. These models can be classified into the following business approaches:

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

Skills

Education

1. •

   feb. - aug. 2018

   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. •

   aug. 2013 - oct. 2017

   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. •

   sep. 2010 - nov. 2012

   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. •

   sep. 2004 - jul. 2010

   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. •

   sep. 2000 - jul. 2002

   Associate Degree in Accounting

   🇨🇺 IP: 'Pablo Elvio Pérez Cabrera'

   Graduated with Honors in Accounting, Finance, and Audit.

Certifications

Student Collaborations

PhD Students

1. 2021 - 2024
   • Graduated Collaboration Khodadoust, Javad
     Research: A minutiae-based indexing algorithm for latent palmprints

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2. 2019 - 2023
   • Graduated Co-Advisor Samper Escalante, Luis Daniel
     Research: Graph-based Classification for Bot Detection on Twitter

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   • In Progress Collaborating Pérez Sánchez, Ismay
     Research: Fuzzy clustering

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3. 2017 - 2021
   • Graduated Collaboration Valdes Ramirez, Danilo
     Research: Latent Fingerprint Identification

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MSc Students

1. 2020 - 2022
   • Graduated Advisor Pérez Landa, Gabriel Ichcanziho
     Research: An explainable artificial intelligence model for detecting xenophobic Tweets

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   • Graduated Co-Advisor Montiel Vázquez, Edwin
     Research: Detecting Empathy on textual communication

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   • Graduated Co-Advisor Ramírez Sáyago, Ernesto
     Research: Combining measures for assessing split candidates in decision tree induction

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   • In Progress Co-Advisor Otero Argote, Dachely
     Research: A novel autoencoder proposal based on deep regressors for anomaly detection

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   • In Progress Advisor Soto Gómez, Guillermo
     Research: Generative adversarial networks for improving the quality of latent fingerprints

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2. 2019 - 2021
   • Graduated Advisor Gallegos Salazar, Leslie Marjorie
     Research: Contrast Pattern-based Classification on Sentiment Features for Detecting People with Mental Disorders on Social Media

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   • Graduated Co-Advisor Aguilar Cervantes, Diana Laura
     Research: An Interpretable Autoencoder for Semi-Supervised Anomaly Detection

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   • In Progress Advisor Zenkl Galaz, Michael Alexander
     Research: An Interpretable Outlier Generation-based Outlier Detector for Categorical Databases

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3. 2017 - 2019
   • Graduated Collaboration Pérez Sánchez, Ismay
     Research: Latent Fingerprint Indexing

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   • Graduated Collaboration Cañete Sifuentes, Leonardo Mauricio
     Research: Classification Based on Multivariate Contrast Patterns.

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Undergraduate Students

1. 2019 - 2020
   • Graduated Advisor - Research Stay Ramírez Sáyago, Ernesto
     Research: Developing contrast pattern-based classifiers for one-class and multi-class classification | Deep Learning model for denoising and inpainting latent fingerprints.

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2. 2019
   • Graduated Advisor - Research Stay Ruíz Mendoza, Angel Roberto
     Research: Fuzzy decision tree-based Classification

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   • Graduated Advisor - Research Stay Amador Manilla, Carlos Augusto
     Research: Fuzzy decision tree-based Classification

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3. 2018
   • Graduated Advisor - Research Stay Neumann Sánchez, Ian Fernando
     Research: One-class Classification based on contrast patterns

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Awards

Publications

I'm author of 68 publications (of which 42 JCR and 9 books), being the first author in more than 75%.

1. 2024
   • Scopus Enhancing latent palmprints using frequency domain analysis, Intelligent Systems with Applications, 2024.
   • Scopus A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field, Intelligent Systems with Applications, 2024.
   • Q2 : IF 3.476 Botnet Identification on Twitter: A Novel Clustering Approach based on Similarity, IEEE Access, 2024.
2. 2023
   • Q1 : IF 8.139 Towards improving decision tree induction by combining split evaluation measures, Knowledge-Based Systems, 2023.
   • Book The 5th International Conference on Cyber Security Intelligence and Analytics (CSIA 2023), Volume 1, Lecture Notes on Data Engineering and Communications Technologies, 2023.
   • Book The 5th International Conference on Cyber Security Intelligence and Analytics (CSIA 2023), Volume 2, Lecture Notes on Data Engineering and Communications Technologies, 2023.
3. 2022
   • Q2 : IF 4.8 Special issue on artificial intelligence-based techniques and applications for intelligent IoT systems, Neural Computing and Applications, 2022.
   • Q2 : IF 2.838 An Explainable Artificial Intelligence Approach for Detecting Empathy in Textual Communication, Applied Sciences, 2022.
   • Q1 : IF 8.665 A secure and robust indexing algorithm for distorted fingerprints and latent palmprints, Expert Systems with Applications, 2022.
   • Q1 : IF 6.791 Towards an interpretable autoencoder: A decision-tree-based autoencoder and its application in anomaly detection, Transactions on Dependable and Secure Computing, 2022.
   • Q1 : IF 8.665 IOGOD: An Interpretable Outlier Generation-based Outlier Detector for Categorical Databases, Expert Systems with Applications, 2022.
   • Q2 : IF 3.4 Process mining: software comparison, trends, and challenges, International Journal of Data Science and Analytics, 2022.
   • Conference A Novel Survival Analysis-Based Approach for Predicting Behavioral Probability of Default, Lecture Notes in Computer Science, 2022.
   • Scopus Single 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.
   • Book The 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), Volume 1, Lecture Notes on Data Engineering and Communications Technologies, 2022.
   • Book The 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), Volume 2, Lecture Notes on Data Engineering and Communications Technologies, 2022.
4. 2021
   • Q1 : IF 3.666 Blockchain-based online education content ranking, Education and Information Technologies, 2021.
   • Q2 : IF 2.838 An Explainable Approach Based on Emotion and Sentiment Features for Detecting People with Mental Disorders on Social Networks, Applied Sciences, 2021.
   • Q2 : IF 2.838 An Explainable Artificial Intelligence Model for Detecting Xenophobic Tweets, Applied Sciences, 2021.
   • ⭐

     Q1 : IF 7.307 PBC4occ: A novel contrast pattern-based classifier for one-class classification, Future Generation Computer Systems, 2021.
   • Q2 : IF 3.476 An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification, IEEE Access, 2021.
   • Q2 : IF 2.838 Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction, Applied Sciences, 2021.
   • Q2 : IF 2.838 A Review of Fuzzy and Pattern-Based Approaches for Class Imbalance Problems, Applied Sciences, 2021.
   • Q2 : IF 2.838 Bot Datasets on Twitter: Analysis and Challenges, Applied Sciences, 2021.
   • Q1 : IF 8.139 Semi-supervised anomaly detection algorithms: A comparative summary and future research directions, Knowledge-Based Systems, 2021.
   • ⭐

     Q1 : IF 14.324 A practical tutorial for decision tree induction: evaluation measures for candidate splits and opportunities, ACM Computing Surveys, 2021.
   • Scopus A 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.
   • Book International Conference on Cyber Security Intelligence and Analytics (CSIA2021), Volume 1, Advances in Intelligent Systems and Computing, 2021.
   • Book International Conference on Cyber Security Intelligence and Analytics (CSIA2021), Volume 2, Advances in Intelligent Systems and Computing, 2021.
5. 2020
   • Q2 : IF 3.476 A contrast pattern-based scientometric study of the QS world university ranking, IEEE Access, 2020.
   • ⭐

     Q1 : IF 4.674 A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges, Journal of Grid Computing, 2020.
   • Q2 : IF 3.476 An Explainable Artificial Intelligence Model for Clustering Numerical Databases, IEEE Access, 2020.
   • Q1 : IF 5.105 A one-class classification approach for bot detection on Twitter, Computers & Security, 2020.
   • Conference Towards inpainting and denoising latent fingerprints: a study on the impact in latent fingerprint identification, Lecture Notes in Computer Science, 2020.
   • Book Proceedings of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), Volume 1, Advances in Intelligent Systems and Computing, 2020.
   • Book Proceedings of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), Volume 2, Advances in Intelligent Systems and Computing, 2020.
6. 2019
   • Q2 : IF 2.812 Cluster validation in clustering-based one-class classification, Expert Systems, 2019.
   • ⭐

     Q2 : IF 3.476 Black-box vs. white-box: understanding their advantages and weaknesses from a practical point of view, IEEE Access, 2019.
   • Q2 : IF 2.838 Pattern-Based and Visual Analytics for Visitor Analysis on Websites, Applied Sciences, 2019.
   • Q2 : IF 2.983 Bagging-RandomMiner: A One-class classifier for file accesses-based masquerade detection, Machine Vision and Application, 2019.
   • Q2 : IF 3.476 Cost-sensitive pattern-based classification for class imbalance problems, IEEE Access, 2019.
   • Q2 : IF 3.476 Classification based on multivariate contrast patterns, IEEE Access, 2019.
   • Q1 : IF 8.665 A 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 3.476 A review of fingerprint feature representations and their applications for latent fingerprint identification: Trends, and evaluation, IEEE Access, 2019.
   • Q2 : IF 3.476 Contrast Pattern-based Classification for Bot Detection on Twitter, IEEE Access, 2019.
   • Q2 : IF 3.847 A pattern-based approach for detecting pneumatic failures on temporary immersion bioreactors, Sensors, 2019.
   • ⭐

     Q1 : IF 17.564 Fusing Approaches of Pattern Discovery and Visual Analytics on Tweet Propagation, Information Fusion, 2019.
   • Scopus Image Annotation as Text-Image Matching: Challenge Design and Results, Computación y Sistema, 2019.
   • Conference Understanding the criminal behavior in Mexico city through an explainable artificial intelligence model, Lecture Notes in Computer Science, 2019.
   • Conference The Mexican Conference on Pattern Recognition after ten editions: A scientometric study, Lecture Notes in Computer Science, 2019.
7. 2018
   • Conference An approach based on contrast patterns for bot detection on web log files, Lecture Notes in Computer Science, 2018.
8. 2017
   • Q1 : IF 8.665 Evaluation of quality measures for contrast patterns by using unseen objects, Expert Systems with Applications, 2017.
   • ⭐

     Q1 : IF 8.139 PBC4cip: A New Contrast Pattern-based Classifier for Class Imbalance Problems, Knowledge-Based Systems, 2017.
   • Tec. Report Supervised classifiers based on emerging patterns for class imbalance problems, Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017.
   • Conference A Novel Contrast Pattern Selection Method for Class Imbalance Problems, Lecture Notes in Computer Science, 2017.
9. 2016
   • Q1 : IF 17.564 Effect of Class Imbalance on Quality Measures for Contrast Patterns: An Empirical Study, Information Fusion, 2016.
   • Q1 : IF 5.719 Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases, Neurocomputing, 2016.
   • Q1 : IF 5.719 Latent fingerprint identification using deformable minutiae clustering, Neurocomputing, 2016.
   • Conference Detecting Pneumatic Failures on Temporary Immersion Bioreactors, Lecture Notes in Computer Science, 2016.
10. 2015
    • Q4 : IF 1.249 Identification of Discriminant Factors after Exposure of Maize and Common Bean Plantlets to Abiotic Stresses, Not Bot Horti Agrobo, 2015.
    • Q4 : IF 0.967 Inducing Decision Trees based on a Cluster Quality Index, IEEE Latin America Transactions, 2015.
    • Conference Correlation of Resampling Methods for Contrast Pattern Based Classifiers, Lecture Notes in Computer Science, 2015.
11. 2014
    • Q4 : IF 1.321 An Empirical Comparison among Quality Measures for Pattern Based Classifiers, Intelligent Data Analysis, 2014.
    • Conference Introducing an Experimental Framework in C# for Fingerprint Recognition, Lecture Notes in Computer Science, 2014.
12. 2013
    • Q2 : IF 2.736 Integrated criteria to identify the best treatment in plant biotechnology experiments, Acta Physiologia Plantarum, 2013.
    • Conference Comparing Quality Measures for Contrast Pattern Classifiers, Lecture Notes in Computer Science, 2013.
    • Conference An Empirical Study of Oversampling and Undersampling Methods for LCMine an Emerging Pattern Based Classifier, Lecture Notes in Computer Science, 2013.
13. 2012
    • Book Induction of Decision Trees: Inducing Decision Trees based on a Cluster Quality (Spanish Version), Editorial Académica Española. Academic Publishing GmbH & Co. KG., 2012.