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UNAPFINESI Puno, Perú

LaCimaFINESI · UNAP

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Richar Andre Vilca Solorzano

Researcher · Founding member

Richar Andre Vilca Solorzano

Undergraduate student · FINESI

RENACYTNivel VII · entry level

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Level I is the highest and Level VII the entry level; Distinguished researcher ranks above all.

About

Statistical and Computer Engineering student, founding member of LaCima and RENACYT Level VII researcher as an undergraduate. Remote-sensing machine learning for environmental hazards and astrophysics; he builds and maintains FINESI's institutional web platforms.

Research lines

Publications 5

Physics-informed ensemble learning for exoplanet transit detection: Combining box least squares, attention-based CNNs, and gradient boosting

SJR Q2 Featured

2026·SpringerL2

Physics-informed ensemble learning for exoplanet transit detection: Combining box least squares, attention-based CNNs, and gradient boosting

Richar Andre Vilca-Solorzano, Dina Maribel Yana-Yucra, Vladimiro Ibañez-Quispe, Fred Torres-Cruz

Journal of Astrophysics and Astronomy

CITAE: A Passage-Verifiable Retrieval-Augmented Generation Platform for Researchers and Thesis Writers

2026·Slovenian Society InformatikaL1

CITAE: A Passage-Verifiable Retrieval-Augmented Generation Platform for Researchers and Thesis Writers

Richar Andre Vilca-Solorzano, Dina Maribel Yana-Yucra, Fred Torres-Cruz, Milton Vladimir Mamani-Calisaya, Alain Paul Herrera-Urtiaga, Vladimiro Ibañez-Quispe

AgroYachay: An open-source IoT and large-language-model platform supporting agronomic and economic decision-making for Andean smallholders

2026·ElsevierL1L4

AgroYachay: An open-source IoT and large-language-model platform supporting agronomic and economic decision-making for Andean smallholders

Fred Torres-Cruz, Richar Andre Vilca-Solorzano, Dina Maribel Yana-Yucra, Vladimiro Ibañez-Quispe, Eduardo Leuman Fuentes-Navarro

Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer Dataset

2026·Slovenian Society InformatikaL2

Machine Learning-Based Runtime Prediction and Energy Optimization for HPC Job Scheduling Using the NREL Eagle Supercomputer Dataset

Renato Quispe-Vargas, Dina Maribel Yana-Yucra, Richar Andre Vilca-Solorzano, Vladimiro Ibañez-Quispe, Fred Torres-Cruz

Comparative Analysis of Statistical, Machine Learning, and Deep Learning Approaches for Frost Prediction in the Peruvian Altiplano

2025·The Science and Information OrganizationL4

Comparative Analysis of Statistical, Machine Learning, and Deep Learning Approaches for Frost Prediction in the Peruvian Altiplano

Fred Torres-Cruz, Dina Maribel Yana-Yucra, Richar Andre Vilca-Solorzano

International Journal of Advanced Computer Science and Applications (IJACSA)

Projects 7

Predicción de heladas en el altiplano

Deep learning models to anticipate frost in the Peruvian Altiplano and support early warning systems for agriculture in Puno.

Pan-Andean GLOF susceptibility

Glacial lake outburst flood susceptibility across the Andes with explainable machine learning and a collaborative validation web app.

Streamflow & drought — Altiplano

Streamflow and hydrological drought forecasting in the Altiplano with open data and a multi-station benchmark.

Spatial CV meta-analysis

Systematic review and multilevel meta-analysis of 266 studies: random versus spatial cross-validation in machine-learning environmental mapping.

AgroYachay

IoT and language models for farming decisions in the Altiplano. Published in SoftwareX (Elsevier).

CITAE

Bilingual platform for verifiable AI across the scientific-literature workflow. Published in Informatica.

Monthly temperature forecasting

Verification of monthly temperature forecasts with regression, random forest and a multilayer perceptron across eleven independent series.