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J.K. Tugnait

Auburn University · US
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.
h-index
44
citations
6,910
works
431
NIH funding
primary concept
email

Recent publications

Delay Embedding for Differential Graph Learning from Dependent Data
2026cited by 0position: firstdoi
Learning Multi-Attribute Differential Graphs With Non-Convex Penalties
IEEE Access 2025cited by 2position: firstdoi
On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series
IEEE Open Journal of Signal Processing 2025cited by 2position: firstdoi
Log-Sum Penalized Differential Graph Estimation From Time-Dependent Data
2025cited by 1position: firstdoi
Estimation of Multi-Attribute Differential Graphs with Non-Convex Penalties
2025cited by 0position: firstdoi
Multi-Attribute Graph Estimation With Sparse-Group Non-Convex Penalties
IEEE Access 2025cited by 0position: firstdoi
On Learning Multi-Attribute Graphs With Non-Convex Penalties
2025cited by 0position: firstdoi
Learning Conditional Independence Differential Graphs From Time-Dependent Data
IEEE Access 2025cited by 0position: firstdoi
Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data
IEEE Transactions on Signal Processing 2024cited by 2position: firstdoi
Conditional Independence Graph Estimation from Multi-Attribute Dependent Time Series
2024cited by 2position: firstdoi
On Sparse High-Dimensional Graph Estimation from Multi-Attribute Data
2024cited by 2position: firstdoi
Delay Embedding for Matrix Graphical Model Learning from Dependent Data
2024cited by 0position: firstdoi
Learning High-Dimensional Differential Graphs From Multiattribute Data
IEEE Transactions on Signal Processing 2023cited by 6position: firstdoi
Estimation of High-Dimensional Differential Graphs from Multi-Attribute Data
2023cited by 4position: firstdoi
Sparse High-Dimensional Matrix-Valued Graphical Model Learning from Dependent Data
2023cited by 3position: firstdoi
Estimation of Differential Graphs via Log-Sum Penalized D-Trace Loss
2023cited by 2position: firstdoi
Estimation of Differential Graphs from Time-Dependent Data
2023cited by 1position: firstdoi
Learning High-Dimensional Differential Graphs From Multi-Attribute Data
arXiv (Cornell University) 2023cited by 0position: firstdoi
On sparse high-dimensional graphical model learning for dependent time series
Signal Processing 2022cited by 16position: firstdoi
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022cited by 7position: firstdoi
Graph Learning From Multivariate Dependent Time Series Via A Multi-Attribute Formulation
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022cited by 4position: firstdoi
On Graphical Modeling of High-Dimensional Long-Range Dependent Time Series
2022cited by 1position: firstdoi
Sparse-Group Lasso for Graph Learning From Multi-Attribute Data
IEEE Transactions on Signal Processing 2021cited by 37position: firstdoi
Sparse-Group Non-convex Penalized Multi-Attribute Graphical Model Selection
2021 29th European Signal Processing Conference (EUSIPCO) 2021cited by 4position: firstdoi
On High-Dimensional Graph Learning Under Total Positivity
2021 55th Asilomar Conference on Signals, Systems, and Computers 2021cited by 3position: firstdoi
New Results on Graphical Modeling of High-Dimensional Dependent Time Series
2021 55th Asilomar Conference on Signals, Systems, and Computers 2021cited by 2position: firstdoi
Sparse Graph Learning Under Laplacian-Related Constraints
IEEE Access 2021cited by 1position: firstdoi
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
arXiv (Cornell University) 2021cited by 1position: firstdoi
Corrections to “Sparse-Group Lasso for Graph Learning From Multi-Attribute Data”
IEEE Transactions on Signal Processing 2021cited by 0position: firstdoi
Introducing Software Defined Radio into Undergraduate Wireless Engineering Curriculum through a Hands-on Approach
2020cited by 12position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Hua Mu · Harbin Electric Corporation (China)12 papers (2012–2016)Shiwen Mao · Auburn University5 papers (2016–2020)Guangjie Huang · Zhejiang Police College5 papers (2012–2013)Kefan Xiao · Google (United States)4 papers (2016–2019) · 2 papers (2016–2017)Michael C. Hamilton · Google (United States)2 papers (2012–2014)Tianlong Song · Michigan State University2 papers (2014–2016)Aubrey N. Beal · University of Alabama in Huntsville2 papers (2012–2014)Robert N. Dean · Auburn University2 papers (2012–2014)Tongtong Li · Capital Medical University2 papers (2014–2016)J. Phillip Bailey · Auburn University2 papers (2012–2014) · 2 papers (2015–2016)Ned J. Corron · University of Alabama in Huntsville1 papers (2012–2012) · 1 papers (2012–2012)Sidni Hale · Auburn University1 papers (2012–2012)W.E. Stark · University of Michigan–Ann Arbor1 papers (2016–2016)Yihan Li · Shandong University of Technology1 papers (2020–2020)Yingsong Huang · Hangzhou Institute of Applied Acoustics1 papers (2020–2020)Prathima Agrawal · Auburn University1 papers (2020–2020) · 1 papers (2012–2012)