Area of research
Modeling and Simulation · Artificial Intelligence
Research interest
Research interests include COVID-19 epidemiological studies, Reinforcement Learning in Robotics, Electrochemical Analysis and Applications, and Data-Driven Disease Surveillance.
Inquiry into the Appropriate Data Preprocessing of Electrochemical Impedance Spectroscopy for Machine Learning
Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation
Challenges of COVID-19 Case Forecasting in the US, 2020–2021
Multiple models for outbreak decision support in the face of uncertainty
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Electrochemical Mechanistic Analysis from Cyclic Voltammograms Based on Deep Learning