Area of research
Artificial Intelligence · Computational Theory and Mathematics
Research interest
Research interests include Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications, and Blockchain Technology Applications and Security.
CAREER: Active Representation Learning for Real-World Adaptive Experimental Design
Collaborative Research: RI: Small: Active Curriculum and Environment Design for Reinforcement Learning
Collaborative Research: RI: Small: Foundations of Few-Round Active Learning
RI: Small: Uncertainty Quantification for Nonconvex Low-Complexity Models
Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Efficient Reinforcement Learning
RI: Medium: Collaborative Research:Algorithmic High-Dimensional Statistics: Optimality, Computtional Barriers, and High-Dimensional Corrections
RI: Small: Uncertainty Quantification for Nonconvex Low-Complexity Models
Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Efficient Reinforcement Learning
Collaborative Research: Fine-Grained Statistical Inference in High Dimension: Actionable Information, Bias Reduction, and Optimality
CIF: Small: Taming Nonconvexity in High-Dimensional Statistical Estimation
RI: Medium: Collaborative Research:Algorithmic High-Dimensional Statistics: Optimality, Computtional Barriers, and High-Dimensional Corrections