- Landslides and related hazards
- Geotechnical Engineering and Analysis
- Geotechnical Engineering and Underground Structures
- Geotechnical Engineering and Soil Mechanics
- Fire effects on ecosystems
- Soil and Unsaturated Flow
- Geochemistry and Geologic Mapping
- Dam Engineering and Safety
- Soil Geostatistics and Mapping
- Drilling and Well Engineering
- Mining Techniques and Economics
- Geology and Paleoclimatology Research
- Seismic Imaging and Inversion Techniques
- earthquake and tectonic studies
- Technology and Security Systems
- Seismic Performance and Analysis
- Electrostatics and Colloid Interactions
- Teleoperation and Haptic Systems
- Geological Modeling and Analysis
- Smart Grid and Power Systems
- Groundwater flow and contamination studies
- Soil erosion and sediment transport
- Tree Root and Stability Studies
- Augmented Reality Applications
- Aerospace Engineering and Energy Systems
Temple University
2022-2025
University of Kentucky
2021-2025
Temple College
2025
San Jose State University
2025
University of Dayton
2025
Harbin Engineering University
2024
Anhui University of Finance and Economics
2022
United States Geological Survey
2021
Texas A&M University
2017
China University of Geosciences
2017
Landslide susceptibility mapping (LSM) characterizes landslide potential, which is essential for assessing risk and developing mitigation strategies. Despite the significant progress in LSM research over past two decades, several long-standing issues, such as uncertainties related to training samples model selection, remain inadequately addressed literature. In this study, we employed a physically based model, PISA-m, generate four different non-landslide data scenarios combine them with...
High-resolution LiDAR-derived datasets from a 1.5 m digital elevation model and detailed landslide inventory ( n ≥ 1000) for Magoffin County, Kentucky, USA were used to develop combined machine-learning statistical approach improve geomorphic-based landslide-susceptibility mapping. An initial dataset of 36 variables was compiled investigate the connection between slope morphology occurrence. Bagged trees, random-forest classifier, evaluate geomorphic variables, 12 identified as important:...
Rapidly changing remote sensing technologies (lidar, aerial photography, satellites) provide opportunities to improve regional-scale landslide risk mapping. However, data limitations regarding hazard and exposure influence how is calculated. To develop assessments for a landslide-prone region of eastern Kentucky, USA, we assessed modeling applicability using variable quality data. First, used equation that incorporated the as logistic regression susceptibility model geomorphic variables...
ABSTRACT V S 30 is currently used as a key proxy to parameterize site response in engineering design and other applications. However, it has been found that VS30 not an appropriate proxy, because does reliably correlate with response. Therefore, the VS30-based National Earthquake Hazards Reduction Program maps may capture regional responses. In earthquake engineering, resonance, which can be characterized by fundamental mode period (Tf) its associated peak amplification (A0), primary...
A comprehensive experimental database containing results of a series dry vacuum-consolidated triaxial compression tests was populated. The were performed on sand specimens and conducted under similar conditions, in which specimens' boundary deformation captured using three-dimensional digital image correlation analysis (3D-DIC). use standard device along with the 3D-DIC technology allowed global local displacement fields to be computed from start end phase. By repeating each test same...
This paper follows up on a reference that inspired MDPI's Topic "Stochastic Geomechanics: From Experimentation to Forward Modeling", where global and local deformation effects sand specimens are fully described from high resolution boundary displacement fields, supported by its experimental database, which is open the scientific community for further study. introduces use of spatio-temporal statistics subset such an database characterize specimens' populated repeating set triaxial...
Landslide susceptibility mapping (LSM) can provide valuable information for landslide characterization and mitigation. However, there are long-standing problems with LSM that have remained unaddressed or inadequately resolved, such as a lack of an effective framework to integrate the physical statistical knowledge about occurrence. To address gap, this paper proposed combine model machine learning techniques produce robust hazard assessment. The hypothesis is modeling result itself be input...
With the rise of distance learning, remote design education is now being considered as a viable alternative to traditional physical setting.Digital tools used for communication facilitate different types interaction between students and instructors, thus affect ways in which we teach learn.Therefore, their development major importance ensuring high-quality education.Owing recent technological advancement several fronts, can recast setting form, commonly referred "real-time virtual...
The study of rheological behavior rocks is fundamental to the interpretation long-term time-dependent deformations and fracturing processes. This work introduces probabilistic calibration method account for uncertainty resulting from sources evidence used conduct a model (i.e., experimental observations, prediction expert’s judgment). Conditioned on series triaxial compression creep experiments conducted sandstone, this research systematic methodology through assessment modified Van der Poel...
This paper follows up on a reference that inspired MDPI’s topic “Stochastic Geomechanics: From Experimentation to Forward Modeling”, in which global and local deformation effects sand specimens were fully described from high-resolution boundary displacement fields. is supported by study’s experimental database, open the scientific community for further study. focuses analysis of this study investigate strain localization subset tests included database. Strain defined here as associated with...
This paper follows up on a reference that inspired MDPI’s topic “Stochastic Geomechanics: From Experimentation to Forward Modeling”, in which the authors populated spatio–temporal database of boundary displacement fields from series triaxial sand specimens using three-dimensional (3D) digital image correlation analysis. The was curated and is currently available scientific community for further study. uses subset this database, experimental conditions were similar, statistically investigate...
Field-based geologic maps, which are among the most valuable tools of communication geoscientists, can be expensive and time-consuming to produce or manually revise. We have found that some maps faithful topographic available at time were made discrepancies with modern digital elevation models produced using airborne lidar. For example, a resistant sandstone shown align prominent set cliffs on original base map may noticeably distant from same model. describe workflow for registration legacy...
For the reentry gliding process of high-speed aircraft, aircraft can fly by adjusting angle bank and attack. However, in addition to considering constraints, avoidance no-fly zone should also be considered during flight. undiscovered before launch, needs plan its trajectory online, which puts forward high requirements for rapidity real-time planning speed. This paper proposes a maneuver strategy with variable tentacle detection range, tests actual flight through detection, selects optimal...
The separation of reducing monosaccharides derived from glycosidoproteins and glycolipids by capillary zone electrophoresis (CZE) is dependent on the pH concentration borate buffer. Five saccharides were completely separated in a fused silica tube (50 microns i.d., 65 cm) containing 50 mM buffer (pH 10.5) as carrier, with high resolution, at an applied potential 20 kV after derivatized 1-naphthylamine. On-column UV (254 nm) monitoring allowed quantitation these least range 10-100 reaction...
In order to help banks formulate Credit Strategies for small, medium-sized and micro enterprises, this paper analyzes enterprises from two aspects. On the one hand, starting enterprise's data relevant data, including qualitative indicators such as reputation level, invoice information, credit record operating income, a model is established quantitatively analyze operation status of enterprise. other through analysis "maximum lending rate" bank, we can "how much bank. Combining above...