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Puno, Peru
FINESI

Research

Four lines of work, two laboratories and the faculty members listed in Concytec's RENACYT register.

FINESI students at the I Congress of Statistics and Data Science at UNALM

Lines

What we work on

The four lines published by the faculty's Research Directorate, with the faculty attached to each.

  • 32 faculty

    Multivariate analysis, big data and data mining

    Multivariate analysis techniques, large-scale data processing, data mining and their application to market research.

  • 29 faculty

    Software engineering and artificial intelligence

    Software engineering methodologies, system architectures and artificial intelligence applications for regional problems.

  • 29 faculty

    Univariate and multivariate predictive models

    Predictive statistical models applied to social, economic, environmental and health phenomena.

  • 28 faculty

    Databases and information systems

    Design, implementation and optimisation of databases and information systems for institutional management and decision support.

Concytec

RENACYT register

Faculty members listed in Peru's National Register of Science, Technology and Technological Innovation.

12listed

Levels as published in the faculty bulletin (April 2026). Each person's CTI Vitae profile holds the current figure.

Platforms

Tools and repositories

Systems for managing and disseminating the school scientific output.

IIICCD InstituteResearch Institute in Computational Intelligence and Data ScienceLaCima LaboratoryResearch in computing, data analytics and artificial intelligenceSherpaManagement of scientific output, theses and research projectsCITAESearch, cite and work with scientific papersFINESI Research CoordinationFaculty research coordination siteFaculty scientific outputGAUSS directory with each professor profile and verified outputResearch Vice-RectorateGoverning body for research at UNAPPGI · Management platformProject registration and trackingCTI VitaeNational researcher directoryInstitutional repositoryOpen access theses and scientific outputODIN Laboratory recognitionLaboratory listing at the Secretariat of Digital Government and TransformationTurnitinSimilarity checking for degree work

Documents

Official plans, schedules and listings in PDF.

  • Download5 pp. · 4.3 MB

    R.R. N° 0591-2026-R-UNA

    RENACYT researchers

    Rectoral resolution on researchers listed in the RENACYT register.

    · Rector's Office — UNA Puno

  • Download4 pp. · 3.6 MB

    R.R. N° 3493-2025-R-UNA

    Research seedbeds

    Current regulations for the university's research seedbeds.

    · Rector's Office — UNA Puno

  • Download24 pp. · 10.3 MB

    R.R. N° 1511-2025-R-UNA

    Seedbed regulation

    Full regulation on setting up and running research seedbeds.

    · Rector's Office — UNA Puno

  • Download6 pp. · 3.0 MB

    R.R. N° 1843-2024-R-UNA

    Research seedbeds

    Earlier resolution on seedbeds, in force where not amended.

    · Rector's Office — UNA Puno

  • Download1 pp. · 171 KB

    R.R. N° 1797-2023-R-UNA

    Recognition of RENACYT students

    Institutional recognition of the school's first students certified by Concytec.

    Rector's Office — UNA Puno

  • Download2 pp. · 970 KB

    R.R. N° 1919-2023-R-UNA

    Recognition for a scientific poster

    Institutional recognition of Hugo Ticona Salluca.

    · Rector's Office — UNA Puno

  • Download2 pp. · 1.5 MB

    R.R. N° 1242-2024-R-UNA

    Recognition for a scientific poster

    Institutional recognition of Cajia Calcina and Humpiri Vargas.

    · Rector's Office — UNA Puno

  • Download2 pp. · 1.5 MB

    R.R. N° 1243-2024-R-UNA

    Recognition for a scientific poster

    Institutional recognition of Yefer Andersson Mamani Chambi.

    · Rector's Office — UNA Puno

  • Download1 pp. · 971 KB

    R.R. N° 1457-2025-R-UNA

    Recognition for a scientific poster

    Institutional recognition of Emanol Jesús Tito Melo.

    · Rector's Office — UNA Puno

More about the school

Institutional documents and texts of the study programme.

IIICCD Research InstituteThe Research Institute in Computational Intelligence and Data Science (IIICCD) is the faculty's research institute. Its mission is to generate scientific, technological and innovation research in computer science and data science that proposes solutions to society's problems, contributes to technological progress, and trains highly qualified research personnel. It aims to become the reference for research in computational intelligence and data science in southern Peru, with indexed output, open data, and effective transfer of knowledge to the altiplano region. It began with the founding act of 22 July 2022, signed by thirteen lecturers and seven students. Dean's Resolution N° 165-2022-FINESI-UNA, of 10 August 2022, approved it within the faculty; Rectoral Resolution N° 0526-2023-R-UNA, of 15 March 2023, approved the creation project; and University Assembly Resolution N° 003-2023-AU-UNA, of 28 March 2023, formally created it. It brings together eleven research lines across three areas. In computer science: artificial intelligence, high-performance computing, complex algorithm development, and image processing. In data science: machine learning, data engineering and analytics, advanced stochastic models, and Bayesian statistics. In research: statistics applied to research, technological research and innovation, and research methodologies. It is directed by Mg. Leonid Alemán Gonzales.LaCima LaboratoryLaCima —Laboratorio de Computación en Investigación, Metodología y Analítica— is the faculty's research laboratory in computing, data analytics and artificial intelligence. It works out of room 204 at FINESI, in Puno, 3,812 metres above sea level. Its work is organised into four lines: natural language processing, with attention to Spanish and to indigenous languages; high-performance computing, with parallel and distributed algorithms; causal inference models applied to health, education and public policy; and data analytics and science for sustainability, with machine learning on environmental and social problems. It is coordinated by Ing. Vladimiro Ibáñez Quispe, with Ing. Fred Torres Cruz as co-coordinator.ODIN LaboratoryA space dedicated to research, software design and development, and the implementation of artificial intelligence models, focused on creating innovative technological solutions and on data analysis. It also trains students through courses and mentoring, advancing science and technology in southern Peru. Recognised by the Secretariat of Digital Government and Transformation of the Presidency of the Council of Ministers.RENACYT StudentsA RENACYT student is one who has been assessed and admitted to Peru's National Register of Science, Technology and Technological Innovation, under CONCYTEC regulations. Earning this distinction calls for merits that go well beyond grade averages: 1. Verifiable scientific output 2. Management of their digital identity (CTI Vitae) 3. Categorisation by level 4. Participation in research circles and groups 5. Ethical rigour and training in research methodology Benefits Priority access to grants and scholarships, such as those from PRONABEC or PROCIENCIA. Easier access to international placements. A profile highly valued for university teaching and for the technology job market.

Welcome

School of Statistical and Computer Engineering