Area of research
Ocean Engineering · Artificial Intelligence
Research interest
Research focused on Mathematical optimization and Artificial intelligence, with related work in Convergence (economics), Convolution (computer science), Proton exchange membrane fuel cell. Notable publications include 'Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization', 'Design and development of coating for metallic bipolar plates in proton exchange membrane fuel cell (PEMFC): A review', and 'A real-time and efficient surface defect detection method based on YOLOv4'.
Expensive constrained multi-objective optimization via adaptive surrogate-assisted dense weight multi-objective evolutionary algorithm
Design and development of coating for metallic bipolar plates in proton exchange membrane fuel cell (PEMFC): A review
Revolutionizing flame detection: Novelization in flame detection through transferring distillation for knowledge to pruned model
Fire Detection and Flame-Centre Localisation Algorithm Based on Combination of Attention-Enhanced Ghost Mode and Mixed Convolution
A deep learning-based dynamic deformable adaptive framework for locating the root region of the dynamic flames
Self-driven transport and heat transfer characteristics of a droplet on a wettability-gradient surface by front-tracking method
Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization
A real-time and efficient surface defect detection method based on YOLOv4
Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization
A Kriging-assisted Double Population Differential Evolution for Mixed-Integer Expensive Constrained Optimization Problems with Mixed Constraints
The vehicle loading problem with a heterogeneous transport fleet