Paper 'A Multi-Objective Competitive Co-Evolutionary Framework with Progressive Shrinking for Wargame Scenarios' accepted at EMO conference.
Paper 'Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-Evolution' accepted at PPSN conference.
Paper 'Scalable Polynomial RegEM(a)O for Multi-/Many-objective Platform-based Design Optimization Problems' accepted at WCCI conference.
Paper 'Compromising Pareto-Optimality With Regularity in Platform-Based Multi-Objective Optimization' published in IEEE Transaction on Evolutionary Computation journal (IF: 14.3).
Paper 'Discovering Adaptable Symbolic Algorithms from Scratch' accepted at IROS 2023.
Paper 'Virtual Metrology in Long Batch Processes using Machine Learning' published in Materials and Manufacturing Processes journal.
Paper 'MOAZ: A Multi-Objective AutoML-Zero Framework' accepted at GECCO 2023.
Paper 'RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving' accepted at EMO 2023.
Paper 'Interpretable AI Agent Through Nonlinear Decision Trees for Lane Change Problem' accepted at SSCI 2021.
Education
PhD candidate at Michigan State University, under the supervision of Prof. Deb.
Background
PhD student at Michigan State University, with research interests including multi-objective optimization, machine learning, etc.