LuisMoya

Assistant Professor

Department of Engineering

Pontificia Universidad Católica del Perú (PUCP)

Av. Universitaria 1801, San Miguel 15088, Lima, Perú

Email: lmoya@pucp.edu.pe

Professional Experience

March 2022 - Present: Assistant Professor, Engineering Department, Pontifical Catholic University of Peru, Lima, Peru.
January 2020 - February 2022: Principal Investigator, Japan-Peru Center for Earthquake Engineering Research and Disaster Mitigation, National University of Engineering, Lima, Peru.
November 2016 - March 2020: Researcher, International Research Institute of Disaster Science (IRIDeS), Tohoku University, Japan.
January 2012 - March 2012: Training course, International Institute of Seismology and Earthquake Engineering. Building Research Institute, Tsukuba, Japan.
March 2012 - September 2013: Assistant Professor, Faculty of Civil Engineering, National University of Engineering, Lima, Peru.
January 2009 - September 2013: Research Assistant, Japan-Peru Center for Earthquake Engineering Research and Disaster Mitigation, National University of Engineering, Lima, Peru.

Education

2013-2016: Doctoral degree, Department of Urban Environmental Systems, Graduate School of Engineering, Chiba University, Japan.
2011-2013: Master of Science degree, Faculty of Civil Engineering, National University of Engineering, Lima, Peru.
2003-2009: Bachelor degree, Faculty of Civil Engineering, National University of Engineering, Lima, Peru.

Research Projects

Reinforcement learning-based pedestrian evacuation system

Grant number: PE501078853-2022
Funding organization: CONCYTEC (Peru)/ProCiencia
Period: September 2022 - September 2024
Role: Principal Investigator

Informal urban growth inventory using radar satellite imagery

Grant number: PE501077930-2022
Funding organization: CONCYTEC (Peru)/ ProCiencia
Period: August 2022 - February 2023
Role: Principal Investigator

ALOS-2/-4 Based flood mapping in rural areas in the Peruvian Amazon Rainforest

Grant number: ER3A2N114
Funding organization: JAXA
Period: April 2022 - March 2024
Role: Principal Investigator

Fusion of machine learning algorithms and earth observation technologies for disaster mitigation.

Grant number: 038-2019
Funding organization: CONCYTEC (Peru) - The World Bank, agreement No.8682-PE.
Period: March 2020 - December 2021.
Role: Principal Investigator

Mapping Tsunami Disaster Impact of Indonesia by Satellite Remote Sensing.

Grant number: JPMJJR1803(PI: Dr. Shunichi Koshimura).
Funding organization: The Japan Society for the Promotion of Science.
Period: April 2018 - March 2020
Role: co-investigator.

Statistical learning of satellite image for damage assessment due to large disasters.

Grant number: Kyodoboshu H-31, CJ19-07 (PI: Dr. Wen Liu).
Funding organization: CEReS Overseas Joint Research Program, Chiba University.
Period: July 2019 - February 2020
Role: co-investigator.

Fusion of sensing and simulation of tsunami damage assessment towards innovation of disaster medical system

Grant number: 17H06108 (PI: Dr. Shunichi Koshimura).
Funding organization: The Japan Society for the Promotion of Science.
Period: March 2017 - March 2021
Role: co-investigator

Assessment of damage situation due to natural disasters using remote sensing data

Grant number: Kyodoboshu H-30, CJ18-01 (PI: Dr. Fumio Yamazaki).
Funding organization: CEReS Overseas Joint Research Program, Chiba University.
Period: July 2018 - February 2019.
Role: co-investigator.

Assessment of damage situation due to natural disasters using remote sensing data

Grant number: Kyodoboshu H-29, CJ17-11 (PI: Dr. Fumio Yamazaki).
Funding organization: CEReS Overseas Joint Research Program, Chiba University.
Period: July 2017 - February 2018.
Role: co-investigator

A Dynamic Integrated Model for Disaster Management and Socio-Economic Analysis (DIM2SEA) - Increasing Urban Resilience to Large Scale Disaster

Grant number: J150002645 (PI: Dr. Erick Mas).
Funding organization: Japan Science and Technology Agency (JST).
Period: October 2016 - March 2019.
Role: co-investigator

Peer-reviewed Publications

Mas, E., Moya, L., Gonzales, E., & Koshimura, S. (2024). Reinforcement Learning-Based Tsunami Evacuation Guidance System. International Journal of Disaster Risk Reduction, 105023 (In-Press). Link
Moya, L., Vilela, M., Jaimes, J., Espinoza, B., Pajuelo, J., Tarque, N., ... & Yamazaki, F. (2024). Vulnerabilities and exposure of recent informal urban areas in Lima, Peru. Progress in Disaster Science, 23, 100345. Link
Vázquez-Rowe, I., Biberos-Bendezú, K., Moya, L., Deville, A., Ita-Nagy, D., & Kahhat, R. (2024). Analyzing the behavior of beachgoers in the city of Lima and their relationship with potential plastic emissions. Marine Policy, 170, 106403. Link
Vázquez-Rowe, I., Cucchi, C., Moya, L., Parodi, E., & Kahhat, R. (2024). Applying the multi-dimensional damage assessment (MDDA) methodology to the Cumbre Vieja volcanic eruption in La Palma (Spain). Natural Hazards, 1-32.
Ceferino, L., Merino, Y., Pizarro, S., Moya, L., & Ozturk, B. (2024). Placing engineering in the earthquake response and the survival chain. Nature Communications 15, 4298. Link
Portillo, A., & Moya, L. (2023). Seismic Risk Regularization for Urban Changes Due to Earthquakes: A Case of Study of the 2023 Turkey Earthquake Sequence. Remote Sensing, 15(11), 2754. Link
Moya, L., Mas, E., and Koshimura, S. (2022) Sparse Representation-Based Inundation Depth Estimation Using SAR Data and Digital Elevation Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 9062-9072. Link
Garay, R., Moya, L., Gonzales, C., Lazares, L., Diaz, M., Zavala, C., Yamazaki, F., Calderon, D., & Huerta, K. (2022). Development of an Interpolation Scheme for Seismic Indexes in Lima Metropolitan, Peru. TECNIA, 32(2), 1-7. Link
Ccahua, A., Gonzales, C., Moya, L., Lazares, L., & Yamazaki, F. (2022). Site dominant frequencies in Lima, Peru, by h/v spectral ratio of seismic records. TECNIA, 32(2), 171-184. Link
Moya, L., Garcia, F., Gonzales, C., Diaz, M., Zavala, C., Estrada, M., Yamazaki, F., Koshimura, S., Mas, E., and Adriano, B. (2022) Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru. Natural Hazards and Earth System Sciences, 22, 65–70. Link
Garcia-Fry, M., Murao, O., Bachri S., Moya, L. (2022) Land-Use microsimulation model for livelihood diversification after the 2010 Merapi volcano eruptions. Transportation Research Part D: Transport and Environment, Volume 104, 2022, 103189. Link
Nagasawa, R.; Mas, E.; Moya, L.; Koshimura, S. (2021) Model-based analysis of multi-UAV path planning for surveying postdisaster building damage. Scientific Reports 11, 18588 (2021). Link
Okada, G.; Moya, L.; Mas, E.; Koshimura, S. (2021) The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework. Remote Sensing 13, 1401. Link
L. Moya, C. Geiß, M. Hashimoto, E. Mas, S. Koshimura and G. Strunz, "Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 10, pp. 8288-8304, Oct. 2021. Link
Moya, L.; Mas, E.; Koshimura, S. Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis Typhoon. Remote Sensing 2020, 12, 2244. Link
Mas, E., Paulik, R., Pakoksung, K., Adriano, B., Moya, L., Suppasri, A., Muhari, A., Khomarudin R., Yokoya, N, Matsuoka, M., and Koshimura, S. (2020) Characteristics of Tsunami Fragility Functions Developed Using Different Sources of Damage Data from the 2018 Sulawesi Earthquake and Tsunami. Pure and Applied Geophysics 177, 2437–2455. Link
Koshimura, S., Moya, L., Mas, E., Bai, Y. (2020) Tsunami Damage Detection with Remote Sensing: A Review. Geosciences 10, 177. Link
Moya, L., Muhari, A., Adriano, B., Koshimura, S., Mas, E., Marval-Perez, L. R., Yokoya, N. (2020) Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami. Remote Sensing of Environment, Vol 242, 111743. Link
Moya, L., Mas, E., Yamazaki, F., Liu, W., and Koshimura, S. (2020) Statistical analysis of earthquake debris extent from wood-frame buildings and its use in road networks in Japan. Earthquake Spectra, Vol. 36(1), 209-231. Link
Moya, L.; Endo, Y.; Okada, G.; Koshimura, S.; Mas, E. (2019) Drawback in the Change Detection Approach: False Detection during the 2018 Western Japan Floods. Remote Sensing, 11, 2320. Link
Moya, L., Zakeri, H., Yamazaki, F., Liu, W., Mas, E., Koshimura, S. (2019) 3D gray level co-occurrence matrix and its application to identifying collapsed buildings, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 149, 14-28. Link
E. Mas, D. Felsenstein, L. Moya, A. Grinberger, R. Das, and S. Koshimura (2018) Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA), J. Disaster Res., Vol.13, No.7, pp. 1257-1271. Link
Moya, L.; Mas, E.; Koshimura, S.; Yamazaki, F. (2018) Synthetic building damage scenarios using empirical fragility functions: A case study of the 2016 Kumamoto earthquake. Int. J. Disaster Risk Reduct., 31, 76-84. Link
Moya, L.; Mas, E.; Adriano, B.; Koshimura, S.; Yamazaki, F.; Liu, W. (2018) An Integrated Method to Extract Collapsed Buildings from Satellite Imagery, Hazard Distribution and Fragility Curves. Int. J. Disaster Risk Reduct. 31, 1374-1384. Link
Moya, L.; Marval Perez, L.R.; Mas, E.; Adriano, B.; Koshimura, S.; Yamazaki, F. Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions. Remote Sens. 2018, 10, 296. Link
Moya, L., Yamazaki, F., Liu, W., and Yamada, M. (2018) Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan, Nat. Hazards Earth Syst. Sci., 18, 65-78. Link
Moya, L., Yamazaki, F., Liu, W., and Chiba, T. (2017) Calculation of coseismic displacement from Lidar data in the 2016 Kumamoto, Japan, Earthquake. Natural Hazards and Earth System Sciences, Vol. 17, No. 1, 143-157. Link
Moya, L., Yamazaki, F., and Liu, W. (2016) Comparison of coseismic displacement obtained from GEONET and seismic networks. Journal of Earthquake and Tsunami. Vol 10, No. 2, 18 pages. Link
Saito, T., Moya, L., Fajardo, C., and Morita, K. (2013) Experimental study on dynamic behavior of unreinforced masonry walls. Journal of Disaster Research, Vol. 8, No. 2, 305-311. Link

Non peer-reviewed Publications

Adriano, B., Moya, L., Mas, E., Miura, H., Matsuoka, M., & Koshimura, S. (2024). Urban Vulnerability Analysis in The Tributary Basin of The Rimac River, Peru Using High-Resolution Remote Sensing Imagery. International Geoscience and Remote Sensing Symposium, Athens, Greece. PDF
Espinoza-Sifuente, B., Moya, L., & Ceferino, L. (2024). Vertical Growth of Masonry Buildings in Peru and Its Role in the Increase of Seismic Vulnerability. 18th World Conference of Earthquake Engineering, Milan, Italy, 8 pages. PDF
Jaimes, J., & Moya, L. (2024). Informal Urban Growth Monitoring in Earthquake Prone Areas Using SAR Satellite Images. 18th World Conference of Earthquake Engineering, Milan, Italy, 10 pages. PDF
Moya, L., Mesias, M., Tostado, A., Kramer, A., Ceferino, L., Wiguna, S., & Adriano, B. (2024). Open Dataset of Road Obstructions Due to Collapsed Buildings From The 2023 Turkey Earthquakes. 18th World Conference of Earthquake Engineering, Milan, Italy, 6 pages. PDF
Portillo, A., & Moya, L. (2023) Semi-supervised classification of collapsed building using remote sensing, in-placed sensors, and fragility functions. International Geoscience and Remote Sensing Symposium, Pasadena, California, USA. Link
Moya, L., Mas, E., & Koshimura, S. (2023) Flood inundation depth estimation from SAR-based flood extent and DEM. International Geoscience and Remote Sensing Symposium, Pasadena, California, USA. Link
Ccahua, A., Gonzales, C., Moya, L., Lazares, & F., Yamazaki, F. (2021) Site Dominant Frequencies in Lima, Peru, by H/V Spectral Ratio of Seismic Records. AGU Fall Meeting, New Orleans, LA. Link
Garay, R., Moya, L., Gonzales, C., Díaz, M., Lazares, F., Calderon, D., Huerta, K. (2021) Implementation of seismic signal processing and interpolation of seismic indexes in Lima Metropolitan, Peru. XI Geotechnical Congress, Chile, 9 pages. PDF
Okada, G., Moya, L., Mas, E., Koshimura, S. (2021) 過去水害のSAR画像を組み込んだ機械学習による未知な浸水建物の把握. 令和2年度土木学会東北支部技術研究発表会 . PDF
Moya, L., Mas, E., Koshimura, S., Yamazaki, F., Liu, W., and Geiß, C. (2020) Fusion of modeling and remote sensing for damage estimation. 17th World Conference of Earthquake Engineering, Japan, 9 pages. PDF
Moya, L., Mas, E., and Koshimura, S. (2020) Phase correlation and sparse modeling for damage detection due to the 2018 Sulawesi earthquake-tsunami. 17th World Conference of Earthquake Engineering, Japan, 8 pages. PDF
Mas, E., Moya, L., and Koshimura, S. (2020) Tsunami evacuation guidance using reinforcement learning algorithm. 17th World Conference of Earthquake Engineering, Japan, 11 pages. PDF
岡田元希, モヤルイス, マスエリック, 越村俊一 (2020) 機械学習を導入した洪水浸水建物把握手法の開発と特徴量抽出. PDF
Moya, L., Liu, W., Yamazaki, F., Koshimura, S., and Mas, E. (2020) Automatic landslide mapping using peak ground velocity and Sentinel-1 imagery: The case of the 2018 Hokkaido Eastern Iburi Earthquake. The 22th CEReS Symposium on Environmental Remote Sensing, Chiba, Japon. PDF
Koshimura, S., Muhari, A., Adriano, B., Moya, L., Ayunda, D., Afriyanto, B., Mas, E. (2019) Field survey of the 28 September earthquake tsunami of Sulawesi, Indonesia. EGU General Assembly - Geophysical Research Abstracts, Vienna, Austria, April 7-12. PDF
Moya, L., Muhari, A., Adriano, B., Koshimura, S., Mas, E. (2019) Collapsed buildings due to the 2018 Sulawesi earthquake-tsunami from remote sensing data. CEH International workshop and expio on sustainable tsunami disaster recovery, Sendai, Japan, November 7-8. PDF
Mas, E., Moya, L., Koshimura, S. (2019) Analysis of tsunami evacuation simulation with minimum congestion and higher survivability using reinforced learning algorithm. ACEH International workshop and expio on sustainable tsunami disaster recovery, Sendai, Japan, November 7-8. PDF
F. Yamazaki, L. Moya, W. Liu (2018) Extraction of building damage in the Kumamoto earthquake from multi-temporal Lidar and PALSAR-2 data. Proc. of the International Symposium on Remote Sensing, PyeongChang, Korea, 4p, 2018.5. PDF
Sagawa, Y., Yamazaki, F., Wen, L., and Moya, L. (2018) Detection of landslides in the 2016 Kumamoto earthquake using airborne LiDAR data. The 39th Asian Conference on Remote Sensing, Kuala Lumpur, Malaysia, 168-175 PDF
Moya, L., Mas, E., Yamazaki, F., Liu, W., and Koshimura, S. (2017) Debris Extent Assessment from Lidar data. 16th International Symposium on New Technologies for Urban Safety of Mega Cities in Asia (USMCA), Sendai, Japan, 2017.11. PDF
F. Yamazaki, L. Moya, W. Liu (2017) Use of multi-temporal Lidar data to extract changes due to the 2016 Kumamoto earthquake. Proc. of SPIE, Vol. 10431, 104310B-1-8, doi: 10.1117/12.2278061, 2017.9 PDF
Yamazaki, F., Liu, W., and Moya, L. (2017) Extraction of building damage due to 2016 Kumamoto earthquake rom PALSAR-2 data. 12th International Conference on Structural Safety and Reliability, Vienna, Austria, 6-10 August 2017, pp 1471-1479. PDF
Moya, L., Mas, E., and Koshimura, S. (2017) Evaluation of tsunami fragility curves for building damage level allocation. Research Report of Tsunami Engineering, Vol. 34, 33-41. PDF
Moya, L., Mas, E., Adriano, B., Koshimura, S., and Yamazaki, F. (2017) Building damage mapping using change detection of ALOS-2 PALSAR-2 SAR images and strong motion data. International Symposium on Remote Sensing, Nagoya, Japan, May 17-19, 4 pages. PDF
Moya, L., Yamazaki, F., and Liu, W. (2017) Baseline effect on the estimation of crustal displacement using GPS kinematic differential correction. 16th World Conference of Earthquake Engineering, Chile, 11 pages . PDF
佐川由季，Luis Moya，山崎文雄，劉ウェン，航空レーザーデータを用いた2016年熊本地震における斜面崩壊の抽出，土木学会第72回年次学術講演会講演概要集，III-172, pp. 343-344, 2017.9 PDF
Moya, L., Yamazaki, F., Liu, W., Chiba, T., and Mas, E. (2016) Detection of collapsed buildings and landslides due to the 2016 Kumamoto earthquake from Lidar data. World Engineering Conference on Disaster Risk Reduction, Lima, Peru, 8 pages . PDF
佐川由季，Luis Moya，劉ウェン，山崎文雄，2016年熊本地震における2時期の航空レーザーデータの比較による地殻変動と地盤変状の抽出，第7回インフラ・ライフライン減災対策シンポジウム，土木学会地震工学委員会, pp. 19-24, 2016.12 PDF
Moya, L., Yamazaki, F., Liu, W., and Chiba, T. (2016) Estimation of coseismic displacement in the 2016 Kumamoto earthquake from Lidar data, L. Moya, F. Yamazaki, W. Liu, T. Chiba, 6th Asia Conference on Earthquake Engineering, Cebu City, Philippines, 8p, 2016.9. PDF
Liu, W., Moya, L., and Yamazaki, F. (2015) Extraction of coseismic displacement in the November 22, 2014 Nagano, Japan earthquake from ALOS-2 images. The 5th Asia-Pacific Conference on Synthetic Aperture Radar, Singapore, pp. 845-848 . PDF Award
Yamazaki, F., Moya, L., Anekoji, K., and Liu, W. (2014) Comparison of coseismic displacements obtained from strong motion accelerograms and GPS data in Japan. Second European Conference on Earthquake Engineering and Seismology, Istanbul, Turkey, 8p, 2014.8. PDF
Moya, L., Yamazaki, F., and Liu, W. (2014) Estimation of geodetic displacement in the 2011 Tohoku Earthquake from accelerograms and GPS data. The 5th Asia conference on earthquake engineering, Taipei, Taiwan, 8p, 2014.10. PDF
Moya, L., Yamazaki, F., and Liu, W. (2014) Comparison of coseismic displacement obtained from GEONET and seismic networks. The 14th Japan Earthquake Engineering Symposium, 624-632 . PDF

Awards and Scholarships

Early Career Award, 17th World Conference on Earthquake Engineering, Sendai, Japan, 2020-21. PDF
Selected by the Alexander von Humboldt Stiftung Foundation in 2019 for the Humboldt Fellowship Programme for Postdocs. Link
Excellent Young Researcher Award, The 16th International Symposium on New Technologies for Urban Safety at Mega Cities in Asia As part of World Bosai Forum 2017. PDF
Excellent Paper Award, The 5th Asia-Pacific Conference on Synthetic Aperture Radar, Marina Bay Sanda, Singapore, 2015. PDF
Japanese Government (Mombukagakusho) Scholarship for a Chiba University, Japan doctoral program.

Editorial Activity

March 2022 - Present: Editorial Board Member, Journal of Disaster Research.
September 2022 - Present: Guest Editor of Special Issue Technological Advancements in Disaster Damage Assessment Using Earth Observation, Machine Learning, and Numerical Simulation, Remote Sensing.
March 2021 - October 2022: Guest Editor of Special Issue Improving Disaster Damage and Loss Assessments by Modeling and Remote Sensing Techniques, Remote Sensing.

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