eMail: [email protected]
NextGen Data, Visualization & Decisioning Research Center
As a consulting professor with a PhD in Computer Science from Japan, I have a strong interest in developing applied research projects in collaboration with industry, prestigious universities, and international research laboratories. My goal is to publish research articles in high-impact journals (Q1 and Q2) and lead projects together with international organizations and institutions. I am committed to involving top students from the University of Monterrey (UDEM) in international internships to participate in these collaborative projects.
I have participated in various projects related to software development, cloud computing, Internet of Things (IoT), machine learning, Data Science, logistics, data visualization, natural language processing (NLP), deep learning, data mining, cryptography, smart contracts, DevOps, psychology, neuroscience, agile methodologies, clinical neurology, biomedical engineering, medical imaging, genetics, data science, and health administration and management. I am the founder of the UDEM Interactive & Disruptive Big Data Visualization Lab.
Currently, I am working on big data visualization, cloud computing, , data science and machine learning software development projects, as well as IoT and logistics, particularly for supply chain management (SCM) purposes. I have experience in product and project management for mobile applications in multicultural environments.
My skills focus on applied research, enterprise analysis, data extraction and preparation, machine learning, time series forecasting, simulation, cluster analysis, predictive modeling, statistical analysis, and software development and visualization for enterprises.
I enjoy tackling new challenges and continuously acquiring new knowledge. I am adept at finding and implementing innovative solutions that help organizations improve their daily operations. Although each organization is different, my extensive experience enables me to apply and transfer best practices wherever necessary. I have experience using Big Data techniques, including machine learning algorithms, neural networks, and predictive analytics. I am a skilled programmer in languages such as C, C++, Java, Ruby, Perl, SAS, SQL, R, and Python. As part of my academic activities, I teach Hadoop, Spark, IBM Watson, Google Cloud Platform, and other cloud computing and data analysis platforms.
Professional Objectives
- Teaching: Teach at undergraduate, master's, and doctoral levels, focusing on computational models, cloud computing, AI systems, Data Science techniques, Machine Learning, Advanced Databases, Software Systems Integration, and techniques for improving e-learning and human-computer interaction. Additional teaching areas include:
- ERP Application Programming
- Seminar on Applications for Electronic Business
- Object-Oriented Database Applications
- Information Retrieval
- Cloud Computing
- Data Science
- Internet of Things
- Specialized Consulting: Develop specialized consulting in Big Data, Data Science, Cloud Computing, and disruptive solutions for large corporations. Key projects include:
- Applied research project for data analysis using IoT in a robotic arm for domestic assistance, Instituto Nacional de Rehabilitación, Luis Guillermo Ibarra Ibarra.
- Applied research project for developing a vital signs monitoring device through a smart shirt, Instituto Nacional de Rehabilitación, Luis Guillermo Ibarra Ibarra.
- Applied research project for developing an intelligent rehabilitation tool for patients with carpal tunnel syndrome, Instituto Nacional de Rehabilitación, Luis Guillermo Ibarra Ibarra.
- May 2018: Lead researcher on the technological innovation project for developing an integrated rehabilitation solution for patients using Data Science and IoT.
- Applied research project for developing proximity mobile solutions for MaxValue México and CliCash using Indoor Navigation and Beacons.
- Applied research project for developing execution platforms and visualization schemes for complex decision-making at the Decision Theater level at the Tec de Monterrey rectorate.
- Opening of the Big Data Research Chair at Tecnológico de Monterrey in collaboration with GE Mexico for the training of Data Engineers.
- Applied research project for developing a real-time tracking mobile platform for the MIT Center for Transportation & Logistics and Megacity Logistics Lab.
- Applied research project for developing a technological platform under the context of Big Data and Cloud Computing in collaboration with MIT and Tec de Monterrey Campus Santa Fe, for analyzing and making policy decisions in megacities.
- Development of enterprise solutions in Cloud Computing, Data Mining, and Big Data for MaxValue, CliCash, and PROSA.
- Universal expert system under the context of Big Data and Cloud Computing for Radio Móvil DIPSA (TELCEL), a project valued at over $25,000,000 pesos in one year.
- Development of enterprise solutions using smart TVs for Chevrolet, Ford, Toyota, Comercial Mexicana, WWF, Fundación Carlos Slim, TELCEL, COMEX, Destino Musical, Coca Cola FEMSA – KOF, Instituto Mexicano de Ejecutivos de Finanzas (IMEF), VANS México, and Unilever.
- Innovation and Analysis: Serve as a business consultant in areas such as Big Data, cloud computing, analytics, machine learning, data preparation, data visualization, mobile technology, e-learning, distance learning, educational multimedia, methodologies, and architectures for educational technology.
- International Collaborations: Establish collaboration agreements with international companies and prestigious universities to develop joint projects and offer top students the opportunity to participate in international internships.
I have the ability and experience in writing research and technical papers for well-known international journals and conferences. I have demonstrated a high level of administrative skill and experience through my responsibilities and achievements.
As a consulting professor with a PhD in Computer Science from Japan, my research interests are broad and diverse, encompassing a range of cutting-edge technologies and methodologies. I am particularly focused on the following areas:
- Big Data
- Analytics
- Cloud Computing
- Machine Learning
- IoT
- Mobile Technology
- Technology in Education
- Artificial Intelligence
- Biometrics
- Complex Systems
- Computational Science
- Conformance Testing
- Cyberphysical Systems
- Cybersecurity
- Data & Informatics
- Federal Information Processing Standards (FIPS)
- Health IT
- Internet of Things (IoT)
- Interoperability Testing
- Privacy
- Software Research
- Usability & Human Factors
- Video Analytics
- Virtual / Augmented Reality
- Visualization
- Logistics IT
These areas reflect my commitment to advancing the field of computer science through innovative research and collaboration with industry, academia, and international research laboratories.
Throughout my professional career, I have taught a wide variety of courses at the undergraduate, master's, and doctoral levels, covering various aspects of computer science and information technology.
Undergraduate Courses:
- Automata Theory
- Cloud Computing
- Database Applications
- Software Systems Integration
- Advanced Databases
- Professional Practices
- Final Evaluation Project
- Cloud Computing Strategies
- System Analysis and Design Methodologies II
- Database Analysis and Development Methodology
- Operating Systems I
- Mobile Application Development
- Introduction to Internet Interfaces and Applications
- Information Systems Auditing
- E-commerce
- Strategic IT Planning for Electronic Business
- Advanced Internet Application Development
- Electronic Business
- Distributed Application Development
- Computing
- Introduction to Information Systems
- IT Management
- Integrative Project in Computational Technologies
- Information Systems for Marketing
- Business Process Management
- Distributed Internet Application Development
- Operating Systems Use and Management
- Information Technology
- Software Systems Analysis and Modeling
- Mobile Computing Applications
- Wireless and Mobile Networks
- IT Management
- Information Technology
- Information Systems
- Server Administration
- Business Process Management
- IT and Electronics Project Management
- Integrative Project in Computational Technologies
- Databases
- Information Management
- Web Application Development
- Introduction to Computing
- Knowledge Systems in Organizations
- Software Engineering Project Management
- Programming and Algorithms
- Intermediate Programming
- Thesis Seminar
Master's Courses:
- Distributed Systems
- Mobile Computing Applications
- Wireless and Mobile Networks
- Cloud Databases
- Data Extraction, Transformation, and Loading
- Website Design and Management
- Introduction to Machine Learning
- Machine Learning in Industry
- Advanced Programming for Multimedia
- ERP Application Programming
- Business Application Development with Android and iOS
- Seminar on Applications for Electronic Business
- Object-Oriented Database Applications
- Information Retrieval
- Cloud Computing
- Data Science I and II
- Internet of Things
Doctoral Courses:
- Thesis I
- Thesis II
- Thesis Seminar 1 and 2
- Analytical Marketing
- Cloud Computing
- Data Visualization Techniques
- Business Strategies Based on Data Science