Area of research
Computational Mechanics · Artificial Intelligence
Research interest
Research interests include Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Numerical methods in inverse problems, and Image and Signal Denoising Methods.
Response and acclimation of cyanobacteria to acidification: A comprehensive review
Decentralized Federated Averaging
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
Stability and Generalization of Decentralized Stochastic Gradient Descent
Alternating direction method of multipliers with difference of convex functions
Scaled sparse linear regression