Artificial Intelligence
Predictive modelling for infrastructure risk and research decision support.
Predictive modelling for infrastructure risk and research decision support.
Learning systems for drainage, transport, and environmental monitoring data.
Sensor-driven smart infrastructure and connected urban operations.
Resilience assessment for bridges, roads, waterways, and public assets.
Evidence-based planning models for compact, inclusive, climate-ready cities.
Data platforms for publication workflows, city dashboards, and research archives.
Energy transition models for campus planning and urban infrastructure systems.
Open data, reproducible methods, and DOI-linked research analytics.
A machine learning framework for identifying flood-prone drainage segments and ranking infrastructure interventions.
A readiness index for evaluating city-scale digital twin adoption across assets, data governance, and maintenance workflows.
An evidence model for prioritizing solar deployment, storage integration, and carbon reduction investment on university campuses.
A transparent modelling workflow for predicting bridge condition states from inspection history, climate exposure, and load indicators.
A DOI-linked pipeline design for publishing reusable urban infrastructure datasets, analysis scripts, and article-level metadata.
Institut Teknologi Bandung
Smart cities researcher focusing on resilient transport networks, urban sensing, and infrastructure policy modelling.
Universitas Indonesia
Data science collaborator working on reproducible pipelines, publication metadata, and urban decision analytics.
Nanyang Technological University
AI systems specialist for predictive maintenance, interpretable machine learning, and digital twin validation.
University of Melbourne
Urban planning researcher studying compact city policy, climate adaptation, and inclusive infrastructure services.
Monash University Indonesia
Renewable energy and campus infrastructure analyst with work on carbon reduction planning and energy dashboards.