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AI & Scientific Machine Learning for Engineering Systems
Trustworthy, efficient, and scientifically meaningful AI that integrates physical knowledge, simulation, and data.
Explore theme →A-SMART Lab
Applied Systems Modeling, Analytics, Research & Technology (A-SMART) Lab
AI-Enabled Modeling, Optimization & Decision Intelligence for resilient energy and infrastructure systems.
We develop trustworthy computational methods to support robust, risk-informed decisions across energy transition, CCUS, subsurface systems, and infrastructure. Our work integrates AI, machine learning, and optimization with domain expertise in energy systems, carbon capture and storage, and subsurface geoenergy — enabling decision-makers to navigate complexity, uncertainty, and risk with confidence. We collaborate with industry, government, and international partners to translate research into practical tools and frameworks that support a secure, resilient, and sustainable energy future across the Asia-Pacific and beyond.
Our Research
Methods that connect to critical applications
Advanced computational methods support infrastructure and geoenergy decisions.
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Optimization, Uncertainty & Decision Intelligence
Risk-informed computational frameworks for systems with competing objectives and complex technical and economic trade-offs.
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CCUS & Low-Carbon Infrastructure
Models and decision-support tools for CO₂ capture, transport, storage, infrastructure reuse, and low-carbon networks.
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Subsurface & Geoenergy Systems
Computational methods for geological storage, geothermal energy, hydrogen storage, and subsurface risk.
Explore theme →Current Work
Featured Projects
CCUS & LOW-CARBON
Cross-Border CO₂ Maritime Transport
Risk-adjusted techno-economic modeling for Singapore-linked transport corridors under technical, economic, and operational uncertainty.
AI & INDUSTRY
AI-Assisted Rebar Verification
Data-driven technologies for tracing, verification, and visibility across rebar delivery and construction value chains.
COLLABORATIVE RESEARCH
Southwest CCUS Partnership
Training and research supporting carbon capture, transport, storage, and regional deployment.
Selected Work
Featured Publications
Phase-based design of CO₂ capture, transport, and storage infrastructure via SimCCS3.0
Ma, Z., Chen, B., and Pawar, R. Scientific Reports, 2023.
View publicationOptimization of subsurface flow operations using a dynamic proxy strategy
Ma, Z., Kim, Y. D., Volkov, O., and Durlofsky, L. J. Mathematical Geosciences, 2022.
View publicationEfficient approximations of effective permeability of fractured porous media using machine learning: A computational geometry approach
Ma, Z., Pachalieva, A. A., Sweeney, M. R., Chen, B., Viswanathan, H., and Hyman, J. D. Mathematical Geosciences, 2025.
View publicationLeveraging existing CO₂ pipelines and pipeline rights-of-way for large-scale CCS deployment
Ma, Z., Chen, B., and Pawar, R. Geoenergy Science and Engineering, 2025.
View publicationA knowledge-based heterogeneity characterization framework for 3D steam-assisted gravity drainage reservoirs
Ma, Z., and Leung, J. Y. Knowledge-Based Systems, 2020.
View publicationServices & Collaboration
Work with A-SMART Lab
We work with industry, government agencies, research institutions, and academic partners on AI-enabled modeling, optimization, uncertainty analysis, and decision-support challenges.
Explore Services
AI & Data-Driven Engineering
Optimization & Decision Support
CCUS & Low-Carbon Infrastructure
Subsurface & Geoenergy Analysis
Research Software & Computational Tools
Training & Knowledge Exchange