Algorithm Development

Improving Shape Awareness and Interpretability in Deep Networks

Cyber Risk Loss Distribution Model of Client-Server Networks

Functional Power Flow: A Matrix-free Non-iterative Method for Radial Networks with ZIP loads

Independent Audit and Assessment Framework for AI Systems

Maximum Power Point Tracking through Load Management

Improved Mapping of Computational Loops on Reconfigurable Architectures

Optimizing Solar Power using Array Topology Reconfiguration and Deep Neural Network

Algorithm for Maximum Power Point Tracking through Load Management

Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating

Dynamic and Efficient Hardware/Software Codesigns of Deep Learning Accelerators