Area of research
Computational Theory and Mathematics · Materials Chemistry
Research interest
Research interests include Computational Drug Discovery Methods, Animal testing and alternatives, Machine Learning in Materials Science, and Metabolomics and Mass Spectrometry Studies.
Linking AhR and Nrf2 activation to neurotoxicity through adverse outcome pathway-based machine learning
Estimating Near-Surface Concentrations of Major Air Pollutants From Space: A Universal Estimation Framework LAPSO
Comprehensive Interrogation on Acetylcholinesterase Inhibition by Ionic Liquids Using Machine Learning and Molecular Modeling
Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations
Big Data and Artificial Intelligence Modeling for Drug Discovery
Regulation of Cell Uptake and Cytotoxicity by Nanoparticle Core under the Controlled Shape, Size, and Surface Chemistries
<i>In silico</i>profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
Predicting Nano–Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling
Alternative approaches for identifying acute systemic toxicity: Moving from research to regulatory testing
Tuning Cell Autophagy by Diversifying Carbon Nanotube Surface Chemistry
Collaborative Research: III: Medium: New Machine Learning Empowered Nanoinformatics System for Advancing Nanomaterial Design
Collaborative Research: III: Medium: New Machine Learning Empowered Nanoinformatics System for Advancing Nanomaterial Design
Collaborative Research: III: Medium: New Machine Learning Empowered Nanoinformatics System for Advancing Nanomaterial Design
Collaborative Research: Power Systems Dynamics from Real-Time Data: Modeling, Inference, and Stability-Aware Optimization
Learning-Enabled Modeling, Monitoring, and Decision Making for Distribution Grids
SCC-PG: ECET: Empowering Community-centric Electrified Transportation
CAREER: Cyber-Physical Situational Awareness for the Power Grid Infrastructures
CAREER: Cyber-Physical Situational Awareness for the Power Grid Infrastructures
Collaborative Research: Towards Communication-Cognizant Voltage Regulation and Energy Management for Power Distribution Systems
Collaborative Research: Towards Communication-Cognizant Voltage Regulation and Energy Management for Power Distribution Systems
SBIR Phase I: Electromagnetic Pulse Sensors Based on Magnetic Nanowire Arrays