Tulay Adali
Affiliations: | Engineering, Electrical | University of Maryland, Baltimore County, Baltimore, MD, United States |
Area:
Electronics and Electrical Engineering, Biomedical Engineering, Neuroscience BiologyWebsite:
https://www.csee.umbc.edu/people/faculty/tulay-adali/Google:
"Tulay Adali"Bio:
https://scholar.google.com/citations?user=KgjUnawAAAAJ&hl=en
https://ocr.lib.ncsu.edu/ocr/LD/LD3928-A23-1992-fall/LD3928-A23-1992-fall.pdf Tulay Adali, Electrical Engineering Ankara, Turkey Dissertation: Convergence and Fixed-point Roundoff Error Analysis of the RLS Algorithm and an Application to Mobile Communications. (Under the direction of Sasan H. Ardalan.)
Parents
Sign in to add mentor| Sasan H. Ardalan | grad student | 1992 | NCSU | |
| (Convergence and fixed-point roundoff error analysis of the RLS algorithm and an application to mobile communications) | ||||
Children
Sign in to add trainee| Yi Cai | grad student | 2001 | UMBC |
| Hongmei Ni | grad student | 2001 | UMBC |
| Hualiang Li | grad student | 2008 | UMBC |
| Yiou (Leo) Li | grad student | 2009 | UMBC |
| Michael P. Novey | grad student | 2009 | UMBC |
| Nicolle M. Correa | grad student | 2010 | UMBC |
| Sai Ma | grad student | 2013 | UMBC |
| Pedro A. Rodriguez | grad student | 2013 | UMBC |
| Wei Du | grad student | 2014 | UMBC |
| Geng-Shen Fu | grad student | 2014 | UMBC |
BETA: Related publications
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Publications
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| Khalilullah KMI, Agcaoglu O, Sui J, et al. (2023) Multimodal fusion of multiple rest fMRI networks and MRI gray matter via parallel multilink joint ICA reveals highly significant function/structure coupling in Alzheimer's disease. Human Brain Mapping. 44: 5167-5179 |
| Sun M, Gabrielson B, Akhonda MABS, et al. (2023) A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis. Sensors (Basel, Switzerland). 23 |
| Yang H, Vu T, Long Q, et al. (2023) Identification of Homogeneous Subgroups from Resting-State fMRI Data. Sensors (Basel, Switzerland). 23 |
| Belyaeva I, Gabrielson B, Wang YP, et al. (2022) Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. Neuroinformatics |
| Acar E, Roald M, Hossain KM, et al. (2022) Tracing Evolving Networks Using Tensor Factorizations vs. ICA-Based Approaches. Frontiers in Neuroscience. 16: 861402 |
| Akhonda MABS, Levin-Schwartz Y, Calhoun VD, et al. (2022) Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data. Sensors (Basel, Switzerland). 22 |
| Belyaeva I, Bhinge S, Long Q, et al. (2021) Taking the 4D Nature of fMRI Data Into Account Promises Significant Gains in Data Completion. Ieee Access : Practical Innovations, Open Solutions. 9: 145334-145362 |
| Akhonda MABS, Gabrielson B, Bhinge S, et al. (2021) Disjoint subspaces for common and distinct component analysis: Application to the fusion of multi-task FMRI data. Journal of Neuroscience Methods. 358: 109214 |
| Bhinge S, Long Q, Calhoun VD, et al. (2020) Adaptive constrained independent vector analysis: An effective solution for analysis of large-scale medical imaging data. Ieee Journal of Selected Topics in Signal Processing. 14: 1255-1264 |
| Silva RF, Plis SM, Adali T, et al. (2020) Multidataset Independent Subspace Analysis with Application to Multimodal Fusion. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |