Santiago Nicolas Diaz Conde

Computer Engineering Student & Research Intern

Montevideo, UY.

About

Ambitious Computer Engineering student with a strong foundation in Process Mining and Model-Driven Engineering, actively engaged in cutting-edge academic research. Published author with demonstrated analytical and problem-solving skills, eager to apply theoretical knowledge to impactful real-world challenges in systems and information engineering. Currently advancing expertise in data-driven curricular analysis and student trajectory modeling.

Work

Instituto de Computación, Grupo COAL

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Research Intern

Montevideo, Montevideo, Uruguay

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Summary

Conducts advanced research in Computer Engineering, focusing on Process Mining and Model-Driven Engineering within an academic setting.

Highlights

Co-authored and published 'Trajecta: a model-driven approach for curricular analysis with Process Mining,' presented at the ICPM Doctoral Consortium and Demo Track 2025.

Applied principles of Electrical, Electronic, and Information Engineering to analyze complex systems and communications, informing research methodologies for educational process mining.

Engaged in in-depth study and application of Model-Driven Development, enhancing understanding of system design and implementation within an academic research context.

Contributed 20 hours weekly to cutting-edge research, developing expertise in data-driven analysis of educational processes.

Universidad de la República, Facultad de Ingeniería

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Employee

Montevideo, Montevideo, Uruguay

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Summary

Supports institutional functions and academic initiatives within the Faculty of Engineering at a leading public university.

Highlights

Contributes to the operational effectiveness of the Faculty of Engineering, ensuring smooth execution of administrative and academic processes.

Collaborates with faculty members and staff to support a productive educational and research environment.

Education

Universidad de la República, Facultad de Ingeniería

Montevideo, Montevideo, Uruguay
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Bachelor Computer Engineering

Courses

Systems and Communications Engineering

Model-Driven Development

Process Mining

Electrical and Electronic Engineering Fundamentals

Information Engineering Principles

Publications

Trajecta: a model-driven approach for curricular analysis with Process Mining

CEUR Workshop Proceedings

A research paper presented at the ICPM Doctoral Consortium and Demo Track 2025, exploring a model-driven approach for curricular analysis using Process Mining techniques, with a focus on educational process mining and student trajectories. Indexed in Scopus.

Skills

Computer Science & Engineering

Electrical Engineering, Electronic Engineering, Information Engineering, Systems Engineering, Communications Engineering, Model-Driven Development, Software Development Lifecycle.

Data Analysis & Research

Process Mining, Curricular Analysis, Educational Process Mining, Student Trajectory Analysis, Data Modeling, Academic Research, Quantitative Analysis.

Methodologies & Tools

Model-Driven Engineering (MDE), Process Mining Tools, Academic Publishing.