Area of research
Biomedical Engineering · Health, Toxicology and Mutagenesis
Research interest
Research interests include Advanced Chemical Sensor Technologies, Environmental remediation with nanomaterials, Biosensors and Analytical Detection, and Air Quality and Health Impacts.
Comparative analysis of adding cotton straw and corn stover to improve the combustion performance of municipal sludge
A comparative study of volatile compounds in breast milk and infant formula from different brands, countries of origin, and stages
Aqueous-phase reactive species formed by fine particulate matter from remote forests and polluted urban air
Global Survey of Antibiotic Resistance Genes in Air
CAREER: Computationally Illuminating the Molecular Interplay between N-glycosylation and Ion Channel Gating
CAREER: Towards Safety-Critical Real-Time Systems with Learning Components
Collaborative Research: SAI: Planning for Electric Vehicle Charging Infrastructure
NSF-BSF: Collaborative Research: Market Conduct in Technology Adoption in the Automobile Industry
Collaborative Research: RUI: Structured Population Dynamics Subject to Stoichiometric Constraints
PIPP Phase I: Comprehensive, Integrated, Intelligent System for Early and Accurate Pandemic Prediction, Prevention, and Preparation at Personal and Population Levels
NSF-BSF: Collaborative Research: Market Conduct in Technology Adoption in the Automobile Industry
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
FET: CCF: Small: Computational Drug Prediction through Joint Learning
CRII: CSR: Enabling Efficient Real-Time Systems upon Multiple Parallel Resources
RAPID:Genomic Variation Analysis of Coronavirus to Better Understand the Spread of COVID-19
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
AF: Small: Homogeneous and Heterogeneous Network Learning with Applications in Computational Biology
Developing Highly Luminescent Materials for Low-Cost and Energy-Efficient Lighting Applications
EARS: Enhancing Spectrum Efficiency of Autonomous and Agile Hybrid FSO/RF Systems
Crystalline Hybrid Semiconductors: A systematic Approach to Develop Nanostructured Materials with Enhanced Properties and New Functionality
CAREER: Transfer Learning Based Quality Improvement in Spatially-Temporally Complex Systems
A Conference on New Frontiers in Numerical Analysis and Scientific Computing