Research
Joshua started his career in research when he pursued a bachelor’s degree in civil engineering at the University of the Philippines Los Baños. In 2017, he initiated a collaboration with Prof. Madlangbayan (Civil Engineering Materials) and Prof. Tapia (Applied Spectroscopy), where he investigated the electrical signals exhibited by cement paste, an integral part of our current structural concrete technology. After passing the national licensure examination in 2018, he worked for a structural engineering firm that reviews and designs the structural integrity of high-rise buildings.
In 2019, he joined Stanford University as a Knight-Hennessy scholar studying two master’s degrees in civil engineering and public policy, where he worked with Prof. Noh (Stanford), Prof. Xu (Johns Hopkins), and Dr. Wald (USGS seismologist) to apply artificial intelligence (AI) to use NASA satellite imagery products to improve PAGER, the global earthquake loss estimation of the United States. He also worked with Prof. Baker (Stanford) to evaluate the probabilistic regional earthquake risk as a basis for equitable policies for the Greater Metro Manila Area in the Philippines.
In 2021, he served as a consulting assistant to Dr. Eng. Fouad Bendimerad, (a Stanford PhD Alumnus, 1985) and Stanford LBRE to analyze the financial and space losses of over 750 multi-million educational, real-estate, and residential buildings of Stanford University subjected to large earthquakes caused by the Hayward and San Andreas faults. He then continued working with Dr. Bendimerad as an Urban Resilience Fellow at EMI Philippines (an international scientific NGO), where he engaged on quantitative understanding of climate and disaster risks of Quezon City in the Philippines.
In 2022, he joined the UKRI EPSRC Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER), Integrated Multimodal Pattern Analysis for Climate Transformation (IMPACT), and Cambridge University Centre for Risk in the Built Environment (CURBE) at the University of Cambridge to explore how AI can provide an improved understanding of the global resilience in response to intensifying effects of climate change and other natural hazards.
Publications
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"Enhancing Assessment of Direct and Indirect Exposure of Settlement-Transportation Systems to Mass Movements by Intergraph Representation Learning"
Dimasaka, J., Selvakumaran, S., and Marinoni, A.
Environmental Research Letters, Focus on Natural Hazards, Disasters, and Extreme Events, 2024
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"Seismic Multi-hazard and Impact Estimation via Causal Inference from Satellite Imagery"
Xu, S., Dimasaka, J., Wald, D., and Noh, H.Y.
Nature Communications, 2022
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"Effect of nano-SiO2 from rice hull ash on the conductivity of cement paste"
Dimasaka, J., Peralta, E., Peralta, M., Tapia, A., and Madlangbayan, M.
Emerging Materials Research, 2018
Technical Reports
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"PRJ-3858: M7.8 Turkey-Syria Earthquake Impact Estimates from Near-real-time Crowdsourced and Remote Sensing Data"
Xu, S., Zhao, X., Li, X., Dimasaka, J., Zhang, X., Yu, X., Wang, C. Hu, X., and Noh, H.Y.
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"Risk Profile Atlas (RPA) and Hazard, Vulnerability and Risk Assessment (HVRA) of Quezon City Government, Philippines"
Earthquakes and Megacities Initiative
Conference Proceedings
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"Spatial Disaggregation of Rwandan Building Exposure and Vulnerability via Weakly Supervised Conditional Census-Constrained Clustering (C4) using Earth Observation Data"
Dimasaka, J., Geiss, C., and So, E.
AGU Annual Meeting 2024, NH23B - Advancing Building and Population Inventories to Support Equity and Inclusion Poster
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"Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning"
Dimasaka, J., Geiss, C., and So, E.
2nd Machine Learning for Remote Sensing, 12th International Conference on Learning Representations
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"Near-real-time Country-wide Estimation of Susceptibility and Settlement Exposure from Norwegian Mass Movements via Inter-graph Representation Learning"
Dimasaka, J., Selvakumaran, S., and Marinoni, A.
AGU Annual Meeting 2023, NH32B - Earth Observations for Monitoring and Assessment of Risk and Resilience of Communities and Infrastructure
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"Classifying Sea Ice in High-Resolution SAR Imagery Using Deep Learning"
McDonald, A., Dimasaka, J., Plumridge, M., Torry, J., Zúñiga Gonzales, A.C, van Zeeland, L., Rogers, M., and Hosking, S.
EGU General Assembly 2023, Session CR2.4 – Advances in machine learning, data science and big data analytics for the cryosphere
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"Integrated Strategies for Enhanced Rapid Earthquake Shaking, Ground Failure, and Impact Estimation Employing Remotely Sensed and Ground Truth Constraints"
Wald, D., Xu, S., Noh, H., Dimasaka, J., Jaiswal, K., Allstadt, K., and Engler, D.
12th National Conference on Earthquake Engineering, Topic Session on Novel Post-Earthquake Assessment Analysis and Modeling Techniques, 2022
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"Causality-Informed Bayesian Inference for Rapid Seismic Ground Failure and Building Damage Estimation"
Xu, S., Wald, D., Dimasaka, J., and Noh, H.,
12th National Conference on Earthquake Engineering, Technical Topic Session on Risk and Loss Assessment, 2022
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"Enhanced Rapid Earthquake Ground Failure and Impact Estimates with Remotely Sensed and Ground Truth Constraints"
Wald, D., Xu, S., Noh, H., Dimasaka, J., Jaiswal, K., and Engler, D.
Seismological Society of America Annual Meeting, 2022
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"Bayesian Updating of Seismic Ground Failure Estimations via Causal Graphical Models with Satellite Imagery"
Xu, S., Dimasaka, J., Wald, D., and Noh, H.
17th World Conference on Earthquake Engineering, 2022
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"Fusing Damage Proxy Maps with Geospatial Models for Bayesian Updating of Seismic Ground Failure Estimations: A Case Study in Central Italy"
Xu, S., Dimasaka, J., Wald, D., and Noh, H.
European Geosciences Union General Assembly Conference, 2021
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"Causal Graph-based Joint Estimation of Ground Failure and Building Damage from Geospatial Prior Models and Satellite Imagery"
Xu, S., Dimasaka, J., Wald, D., and Noh, H.
Southern California Earthquake Center Annual Meeting, 2021
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"Improving Post-earthquake Disaster Response using Bayesian-Updated Ground Failure Models with Satellite Imagery"
Dimasaka, J., Xu, S., Wald, D., and Noh, H.
20th Association of Structural Engineers of the Philippines (ASEP) International Convention, 2021
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"Fusing Damage Proxy Maps with Geospatial Models for Bayesian Updating of Seismic Ground Failure Estimations: A Case Study in Central Italy"
Xu, S., Dimasaka, J., Wald, D., and Noh, H.
EGU General Assembly 2021, Session NH6.2 – SAR remote sensing for anthropogenic and natural hazards
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"Effect of Amorphous Nanosilica Synthesized from Rice Hull Ash on the AC Conductivity of Simulated Cement Paste Matrix using Impedance Spectroscopy"
Dimasaka, J., Tapia, A., and Madlangbayan, M.
ASEAN Conference on Advanced Functional Materials and Nanotechnology, 2017
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"Impedance Spectroscopy of Cement Paste Matrix Admixed with Amorphous Nanosilica Synthesized from Rice Hull Ash"
Dimasaka, J., Tapia, A., and Madlangbayan, M.
5th Seminar Workshop on the Utilization of Waste Materials & The 2nd International Symposium on Concrete Structure for the Next Generation, 2017
Theses and Dissertations
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Towards an Equitable Development of the Regional Earthquake Resilience of the Greater Metro Manila Area, Philippines
Stanford University, June 2022
Advisor: Jack W. Baker, Ph.D.
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Low-Frequency Impedance Spectroscopy of Cement Paste Matrix Admixed with Amorphous Nanosilica Synthesized from Rice Hull Ash
University of the Philippines Los Baños, December 2017
Advisors: Marish S. Madlangbayan, Eng.D and Alvin Karlo G. Tapia, Sc.D.