Alex Barrales-Araneda
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PhD Student • University of Bologna
Biomedical, Electrical, and Systems Engineering
Biomedical, Electrical, and Systems Engineering
Hi, my name is Alex Barrales Araneda. I am currently a PhD Student in the Biomedical, Electrical, and Systems Engineering program at the University of Bologna. Previously, I obtained the title of M.E. in Industrial Engineering, Industrial Engineer, and Bachelor of Engineering Sciences from the University of Bío-Bío.
"Hello friend. That's lame. Maybe I should give you a name, but that's a slippery slope. You're only in my head. We have to remember that."
My research lies at the intersection of operations research, optimization, and data-driven decision-making, with a dual focus on public transportation systems and security applications through social network analysis. I have developed mathematical models and algorithms to support electric public transport planning, last-mile logistics, and fraud/homicide investigation using machine learning and graph optimization. I aim to design innovative, efficient, and socially impactful solutions to complex real-world problems.
My academic journey and qualifications
University of Bologna • Italy
University of Bío-Bío • Chile
University of Bío-Bío • Chile
University of Bío-Bío • Chile
Research contributions and academic presentations
R. Weber, C. Vairetti, F. Troncoso, S. Maldonado, A. Barrales-Araneda, V. Reyes, P. Pincheira
R. Weber, A. Barrales-Araneda, F. Troncoso
R. Riffo-Sandoval, C. Obreque, G. Latorre-Nuñez, P. Álvarez, A. Barrales-Araneda, C. Bizama
N. Villanueva, C. Obreque, G. Latorre-Nuñez, P. Álvarez, A. Barrales-Araneda, C. Bizama
M. Villagra-Aguayo, C. Obreque, G. Latorre-Nuñez, P. Álvarez, A. Barrales-Araneda, C. Bizama
C. Obreque, G. Latorre-Nuñez, P. Álvarez, A. Barrales-Araneda, C. Bizama, M. Villagra-Aguayo
F. Troncoso, R. Weber, A. Barrales-Araneda
A. Barrales-Araneda, C. Obreque
A. Barrales-Araneda, C. Obreque
A. Barrales-Araneda, C. Obreque
Current and ongoing research initiatives
Scaling and validation of an integrated system for crime prosecution using advanced data analytics.
Developed a specialized tool for processing large volumes of text to enhance the effectiveness of crime investigation. Created an AI-based system that translates natural language queries into SQL queries. Developed an MVP integrating natural language querying and data visualization.
Developed optimization and ML algorithms for detecting patterns in fraud and homicide cases. Enhanced Fiscal Heredia with new data sources. Led training and coordination sessions with institutional stakeholders.
Implemented OCoDeDANet for dynamic graph community detection. Ran benchmarks and contributed to scientific publication on overlapping communities.
Collaborated with AMDEL on waste collection logistics. Co-authored papers in Operations Research. Participated in university-industry transport/logistics project development.
Created models to identify criminal groups through social network analysis. Delivered Fiscal Heredia prototype to Prosecutor's Office. Presented at CLAIO, EURO, and IFORS conferences.
Analyzed public transport GPS data for congestion studies. Evaluated school transport policies in Chillán.
Developed algorithms for dynamic social networks. Submitted results to WoS-indexed journal.
Worked on MIP model for School Bus Routing Problem. Developed mobile app for school transport communication.
Formulated and implemented model for GMTP with latency. Presented findings at ICCL and OPTIMA 2019.
Analyzed sociodemographic and survey data for Concepción's mobility plan. Processed logistics data for National Congress study.