Area of research
Control and Systems Engineering · Signal Processing
Research interest
Research interests include Blind Source Separation Techniques, Control Systems and Identification, Fault Detection and Control Systems, and Advanced Adaptive Filtering Techniques.
Delay Embedding for Differential Graph Learning from Dependent Data
Learning Multi-Attribute Differential Graphs With Non-Convex Penalties
On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series
Log-Sum Penalized Differential Graph Estimation From Time-Dependent Data
Estimation of Multi-Attribute Differential Graphs with Non-Convex Penalties
Multi-Attribute Graph Estimation With Sparse-Group Non-Convex Penalties
On Learning Multi-Attribute Graphs With Non-Convex Penalties
Learning Conditional Independence Differential Graphs From Time-Dependent Data
Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data
Conditional Independence Graph Estimation from Multi-Attribute Dependent Time Series
On Sparse High-Dimensional Graph Estimation from Multi-Attribute Data
Delay Embedding for Matrix Graphical Model Learning from Dependent Data
Learning High-Dimensional Differential Graphs From Multiattribute Data
Estimation of High-Dimensional Differential Graphs from Multi-Attribute Data
Sparse High-Dimensional Matrix-Valued Graphical Model Learning from Dependent Data
Estimation of Differential Graphs via Log-Sum Penalized D-Trace Loss
Estimation of Differential Graphs from Time-Dependent Data
Learning High-Dimensional Differential Graphs From Multi-Attribute Data
On sparse high-dimensional graphical model learning for dependent time series
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
Graph Learning From Multivariate Dependent Time Series Via A Multi-Attribute Formulation
On Graphical Modeling of High-Dimensional Long-Range Dependent Time Series
Sparse-Group Lasso for Graph Learning From Multi-Attribute Data
Sparse-Group Non-convex Penalized Multi-Attribute Graphical Model Selection
On High-Dimensional Graph Learning Under Total Positivity
New Results on Graphical Modeling of High-Dimensional Dependent Time Series
Sparse Graph Learning Under Laplacian-Related Constraints
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
Corrections to “Sparse-Group Lasso for Graph Learning From Multi-Attribute Data”
Introducing Software Defined Radio into Undergraduate Wireless Engineering Curriculum through a Hands-on Approach