Area of research
Civil and Structural Engineering · Safety, Risk, Reliability and Quality
Research interest
Research interests include Geotechnical Engineering and Analysis, Landslides and related hazards, Geotechnical Engineering and Underground Structures, and Dam Engineering and Safety.
Probabilistic assessment of a road network subjected to rainfall-induced landslides
Probabilistic framework for resilience assessment of soil slopes against rainfall infiltration
Hybrid method for rainfall-induced regional landslide susceptibility mapping
Geotechnical Reliability Analysis
Assessing the annual probability of rainfall-induced slope failure based on intensity–duration–frequency (IDF) curves
Evaluating the exceedance probability of the runout distance of rainfall-induced landslides using a two-stage FEM-MPM approach
Bayesian Framework for Assessing Effectiveness of Geotechnical Site Investigation Programs
Numerical study on the base shear force-displacement relationship for laterally loaded monopiles in dense sand
Hierarchical response surface method for reliability analysis of a pile-slope system
System reliability and sensitivity analysis of lateral loaded pile considering soil’s spatial variability
First Order Reliability Methods
Spatial Variability of Soils
Geographic Object-Based Image Analysis (GEOBIA) for Landslide Identification using Machine Learning on Google Earth Engine (GEE)
Basics of Probability Theory
Quantitative risk assessment of landslides with direct simulation of pre-failure to post-failure behaviors
Performance-based assessment of the monopile foundation of offshore wind turbines
Iron-Based Shape Memory Alloys in Construction: Research, Applications and Opportunities.
Unsupervised learning method for events identification in φ-OTDR
On assessing the probability of rainfall-induced slope failure during a given exposure time
Performance assessment of deteriorating reinforced concrete drainage culverts: A case study
On prediction of slope failure time with the inverse velocity method
Depth-consistent models for probabilistic liquefaction potential assessment based on shear wave velocity
Assessing annual probability of rainfall-induced slope failure through a mechanics-based model
Assessing indirect economic losses of landslides along highways
Bayesian network based machine learning for design of pile foundations
Binary classification method for efficient and accurate system reliability analyses of layered soil slopes
EAGER: Collaborative Research:Blockchain Graphs as Testbeds of Power Grid Resilience and Functionality Metrics
Travel Support for Hinode-14/IRIS-11 Joint Science Meeting
EAGER: Collaborative Research: Local Topological Properties of Power Flow Networks, and Their Role in Power System Functionality
Collaborative Research: SHINE: Data-constrained Simulations of Coronal Mass Ejection Initiation and Propagation
SHINE: Study the Evolution of Coronal Mass Ejections from the Sun to the Earth
CAREER: Comprehensive Study of Initiation and Evolution of Solar Energetic Phenomena
SHINE: Understanding Characteristics of Coronal Mass Ejections (CMEs)
A Study on Origin of Coronal Mass Ejections