Area of research
Nuclear and High Energy Physics · Cognitive Neuroscience
Research interest
Research interests include Particle physics theoretical and experimental studies, Quantum Chromodynamics and Particle Interactions, High-Energy Particle Collisions Research, and Neural dynamics and brain function.
Investigating the effect of animal manure on colloidal-facilitated phosphorus transport
Age differences in spatial navigation stem from a preference for familiar routes rather than impaired landmark-dependent strategies.
Forecasting growth dynamics of hydroponic kale in controlled environment agriculture through vision-based phenotyping and time-series modeling
Cost-effectiveness of cemiplimab plus chemotherapy vs pembrolizumab plus chemotherapy as first-line treatment for advanced non–small cell lung cancer
Racial Disparities and Comorbidities: Network Analysis of Maternal Outcomes in Alabama
Persistent Shift in Laminar Planes Contribute to Post-Surgical Decline in LVEF in Patients with Primary Mitral Regurgitation
Comparative real-world survival of first-line atezolizumab, nivolumab, and pembrolizumab in older patients with metastatic non–small cell lung cancer.
Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance
Exploring Factors Contributing to Retroreflectivity Degradation of Longitudinal Pavement Markings: A Systematic Approach Beyond Regression Modeling
Comparative real-world survival of first-line atezolizumab, nivolumab, and pembrolizumab in older patients with metastatic non–small cell lung cancer
Naturalistic movements enrich episodic memories but not their spatiotemporal structure
Persistent Shift in Principal Strain Angles and Postsurgical Decline in Left Ventricular Ejection Fraction in Patients With Primary Mitral Regurgitation
Divergence unveils further distinct phenotypic traits of human brain connectomics fingerprint
Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer
CW_ICA: an efficient dimensionality determination method for independent component analysis
Preferential flow of phosphorus and nitrogen under steady‐state saturated conditions
Discrimination of Common <i>E. coli</i> Strains in Urine by Liquid Chromatography–Ion Mobility–Tandem Mass Spectrometry and Machine Learning
Effectiveness and Safety of Direct Oral Anticoagulants Versus Warfarin in Patients with Atrial Fibrillation and Cancer: A Target Trial Emulation from SEER-Medicare Database
A machine learning approach to quantify effects of geometric design features and traffic control devices on wrong-way driving incidents at partial cloverleaf interchange terminals
A graph convolutional network approach for hyperspectral image analysis of blueberries physiological traits under drought stress
Towards Analysis of Multivariate Time Series Using Topological Data Analysis
Imminent risk of LVEF decline in asymptomatic patients with primary mitral regurgitation
Benefit and risk of oral anticoagulant initiation strategies in patients with atrial fibrillation and cancer: a target trial emulation using the SEER-Medicare database
Machine Learning Approach for Cardiovascular Death Prediction among Nonalcoholic Steatohepatitis (NASH) Liver Transplant Recipients
Topological Data Analysis for Scalp Eeg with Application in Brain-Computer Interfaces
Towards Classification of Covariance Matrices via Bures-Wasserstein-Based Machine Learning
Recent advances in the extraction, composition analysis and bioactivity of Camellia (Camellia oleifera Abel.) oil
Phenotyping of architecture traits of loblolly pine trees using stereo machine vision and deep learning: Stem diameter, branch angle, and branch diameter
Detection of walnut oil adulterated with high-linoleic acid vegetable oils using triacylglycerol pseudotargeted method based on SFC-QTOF-MS
Strain-Level Discrimination of Bacteria by Liquid Chromatography and Paper Spray Ion Mobility Mass Spectrometry