Area of research
Computational Theory and Mathematics · Artificial Intelligence
Research interest
Research interests include Computational Drug Discovery Methods, Cardiac, Anesthesia and Surgical Outcomes, Sepsis Diagnosis and Treatment, and Machine Learning in Healthcare.
Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming
Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA–drug binding prediction
Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction
Comparison of Tree Based Ensemble Machine Learning Methods for Prediction of Rate Constant of Diels-Alder Reaction
Developing QSPR for Predicting DNA Drug Binding Affinity of 9-Anilinoacridine Derivatives Using Correlation-Based Adaptive LASSO Algorithm
Relating Reaction Rate Constant to Structures of Reactants and Solvent Using a Hybrid GA-DT Approach
Data Mining and Regression Algorithms for the Development of a QSPR Model Relating Solvent Structure and Ibuprofen Crystal Morphology
Development of QSPR Model Relating Solvent Structure to Crystal Morphology