Eduardo Ceh-Varela

The objectives of the Emerging Machine-learning, Modeling and Analysis (EMMA) Lab are:

• Develop new machine learning algorithms for various applications such as computer vision, natural language processing, and time-series analysis.
• Design and implement large-scale machine learning systems for big data processing and analysis.
• Research on new deep learning architectures and techniques for improving the performance of machine learning models.
• Study on the interpretability and explainability of machine learning models and develop methods to make them more transparent.
• Investigate the application of machine learning in various domains such as healthcare, finance, and transportation.
• Research on the robustness and security of machine learning models and develop methods to prevent adversarial attacks.
• Study on the ethical and social implications of machine learning and artificial intelligence.
• Develop new models for causal inference and causality analysis in machine learning.
• Investigate the application of reinforcement learning in various domains such as robotics and control systems.
• Study on the integration of machine learning with other techniques such as optimization, control, signal processing, Internet of Things (IoT), cloud computing, and edge computing.

• Undergraduate students can be involved in research projects under the guidance of mentors.
• The laboratory offers research opportunities for students interested in machine learning and artificial intelligence.
• Undergraduate students could be involved in the data pre-processing, cleaning, modeling, and visualization tasks.

• North American Development Bank (NADB) grant award (2024).
  Project: “Microplastics monitoring of water in the Texas-New Mexico-Chihuahua region.”
  Role: Co-PI.
  Task: Developing model for forecasting microplastics pollution.
  Grant amount: $74,910.00
• ENMU Faculty Research and Instructional Development (FRID) grant award (2024).
  Eastern New Mexico University.
  Project: “Taking Advantage of Large Languange Models for Automated Testing and Feedback of Java Programming Assignments.”
  Award for the 2024-2025 academic year.
  Grant amount: $5,000.00
• ENMU Faculty Research and Instructional Development (FRID) grant award (2023).
  Eastern New Mexico University.
  Project: “Analysis of Java Code Formatting Errors for Improving Student Learning.”
  Award for the 2023-2024 academic year.
  Grant amount: $4,272.00
• SMART Grid research award (2023).
  New Mexico EPSCoR.
  Award for the 2023 Fall semester to continue research with my student Jacqueline Chavez.
• SMART Grid research award (2022).
  New Mexico EPSCoR.
  Award for the 2022 Fall semester to continue research with my student Larry Maes.
• NMSU Outstanding Graduate Assistantship award (2020).
  New Mexico State University.
  Award for the 2020-2021 academic year.
• Scholarship for studies abroad (2017 - 2021)
  Mexico National Council of Science and Technology (CONACYT).
  54 months scholarship for Ph.D studies.
• Desirable profile for full-time professors at public universities (2014 - 2017)
  Public Education Secretary of Mexico (SEP-PRODEP).