Yalda Shahriari

Research

  • Neural Engineering
  • Biomedical Signal Processing
  • Brain-Computer Interface for Assistive Technology
  • Statistical Analysis and Modeling
  • Machine Learning Algorithm
  • Healthcare Units and Biomedical Data Analysis

Education

  • Postdoctoral Research Associate, University of California, San Francisco, 2016
  • Ph.D., Biomedical Engineering, Old Dominion University of Virginia, 2015
  • M.Sc., Biomedical Engineering, Iran University of Science and Technology, 2011
  • B.Sc., Electrical Engineering. Ferdowsi University of Mashad, 2008

Selected Publications

McLinden J, Borgheai SB, Kumar C, et al. Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study. 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 2023. Doi: 10.1109/NER52421.2023.10123888 
Mcintyre J. McLinden J, Borghaei SB, Shariari Y. Exploratory tNIRS Assessment of Cortical Activation during a Novel Virtual Reality Object Orientation Memory Task. 2023 11th International IEEE/EMBS Conference on Neutral Engineering (NER), 2023. Doi: 10/1109/NER52421.10123834
Zhu S, Hosni SI, Huang X, et al. A dynamical Graph-based feature extraction approach to enhance mental task classification in brain-computer interfaces. Computers in Biology and Medicine, 2022; 153(3-4), 106498. doi: 10.1016/j.compbiomed.2022.106498
Mclinden J, Borgheai SB, Hosni SI, et al. Individual-Specific Characterization of Event-Related Hemodynamic Responses during an Auditory Yask: An Exploratory Study. Behavioral Brain Research, 2022. doi: 10.1016/j.bbr.2022.114074
Hosni SI, Borgheai SB, McLinden J, et al. A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI. Neuroinformatics, 2022. Doi: 10.1007/s12021-022-09595-2
Cay G, Ravichandran V, Saikia MJ, et al. An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation. Journal of Signal Processing Systems, 2022; 94(6), 543-557. doi: 10.1007/s11265-021-01669-9
Zhu S, Hosni SI, Huang X, et al. A Dynamical Graph-Based Feature Extraction Approach to Enhance Mental Task Classification in Brain-Computer Interfaces. SSRN Electronic Journal, 2022. Doi: 10.2139/ssrn.4170113
Zisk A, Borgheai SB, McLinden J, Deligani R, Shahriari Y. Improving longitudinal P300-BCI performance for people with ALS using a data augmentation and jitter correction approach. Brain-Computer Interfaces, 2021. doi: 10.1080/2326263X.2021.2014678
Zhu S, Ismail Hosni S, Huang X, Borgheai SB, et al. A Graph-Based Feature Extraction Algorithm Towards a Robust Data Fusion Framework for Brain-Computer Interfaces. Conference: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. doi: 10.1109/EMBC46164.2021.9630804
Ismail Hosni SM, Borgheai SB, Mclinden J, et al. Graph-based Recurrence Quantification Analysis of EEG Spectral Dynamics of Motor Imagery-based BCIs. Conference: 2021 43rd Annual international Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. doi: 10.1109/EMBC46164.2021.9630068
Hosni SI, Borgheai SB, McLinden J, et al. A Graph-Based Dynamical Characterization and Inference in Hybrid BCIs. 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2022. doi: 10.1109/IEEECONF53345.2021.973258
Deligani R, Borgheai SB, McLinden J, Shahriari Y. Multimodal fusion of EEG-fNIRS: A mutual information-based hybrid classification framework. Biomedical Optics Express, 2021; 12(3), 1635-1650. doi: 10.1364/BOE.413666
McLinden J., Deligani RJ., Abtahi MR., Akbar U., Mankodiya K., Shahriari Y. Disruptions of Cortico-Kinematic Interactions in Parkinson’s Disease. Behavioural Brain Research, 2021; 404, 113153. doi: 10.1016/j.bbr.2021.113153
Borgheai SB., McLinden J., Mankodiya K., Shahriari Y. Frontal Functional Network Disruption Associated with Amyotrophic Lateral Sclerosis: An fNIRS-Based Minimum Spanning Tree Analysis. Frontiers in Neuroscience, 2020; 14, 1376. doi: 10.3389/fnins.2020.613990
Hosni SM., Borgheai SB., McLinden J., Shahriari Y. An fNIRS-Based Motor Imagery BCI for ALS: A Subject-Specific Data-Driven Approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020; 28(12), 3063-3073. doi: 10.1109/TNSRE.2020.3038717
Zisk A., Borgheai SB., McLinden J., et al. P300 latency jitter and its correlates in people with amyotrophic lateral sclerosis. Clinical Neurophysiology, 2020; 132(2), 632-642. doi: 10.1016/j.clinph2020.10.022
Deligani RJ., Hosni SI., Borgheai SB., et al. Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020; 28(12), 3129-3139. doi: 10.1109/TNSRE.2020.3031495
Abtahi M, Borgheai SB, Jafari R, et al. Merging fNIRS-EEG Brain Monitoring and Body Motion Capture to Distinguish Parkinsons Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020; 28(6), 9067065, 1246-1253. doi: 10.1109/TNSRE.2020.2987888
Borgheai SB, Mclinden J, Zisk AH, et al. Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020; 28(5), 9035644, 1198-1207. doi: 10.1109/TNSRE.2020.2980772
Hosni SI, Deligani R, Zisk AH, McLinden J, Borgheai SB, Shahriari Y. An Exploration of Neural Dynamics of Motor Imagery for People with Amyotrophic Lateral Sclerosis. Journal of Neural Engineering, 2019; 17(1). doi: 10.1088/1741-2552/ab4c75
Borgheai SB, Deligani R, McLinden J, et al. Multimodal Exploration of Non-Motor Neural Functions in ALS Patients Using Simultaneous EEG-fNIRS Recording. Journal of Neural Engineering, 2019; 16(6), 066036. doi: 10.1088/1741-2552/ab456c
Shahriari Y, Vaughan TM, McCane L, Allison BZ, Wolpaw J, Krusienski DJ. An Exploration of BCI Performance Variations in People With Amyotrophic Lateral Sclerosis Using Longitudinal EEG Data. Journal of Neural Engineering, 2019; 16(5). doi: 10.1088/1741-2552/ab22ea
Deligani R, Vaughan TM, McCane L, et al. Neural Alterations During Use of a P300-Based BCI by Individuals with Amyotrophic Lateral Sclerosis. 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019; 8717044, 899-902. doi: 10.1109/NER.2019.8717044
Borgheai SB, Abtahi M, Mankodiya K, Mclinden J, Shahriari Y. Towards a Single Trial fNIRS-Based Brain-Computer Interface for Communication. 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019; 8717030, 1030-1033. doi: 10.1109/NER.2019.8717030
Borgheai SB, Deligani R, McLinden J, et al. Multimodal Evaluation of Mental Workload Using a Hybrid EEG-fNIRS Brain-Computer Interface System. 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019; 8717118, 973-976. doi: 10.1109/NER.2019.8717118
Malekmohammadi M, Shahriari Y, AuYong N. et al. Pallidal Stimulation in Parkinson’sDisease Differentially Modulates Local and Network B Activity. Journal of Neural Engineering, 2018; 15(5). doi: 10.1088/1741-2552/aad0fb
Shahriari Y, Fidler R, Pelter M, Bai Y, Villaroman A, Hu X. Electrocardiogram Signal Quality Assessment Based on Structural Image Similarity Metric. IEEE Transactions on Biomedical Engineering, 2018; 65(4), 748-753. doi:10.1109/TBME.2017.2717876

Recent Grants

 9/7/2022. PI. National Science Foundation. “Internship and the Graduate Student is John McLinden.”
8/31/2021. Co-PI. National Science Foundation. “EAGER: Towards a multimodal smart textile medical monitoring system for Neonatal ICUs.”
9/10/2020. PI. National Science Foundation. “NCS-FO: Sound Understanding the functional Neural Dynamics Underpinning Auditory Processing Dysfunction”
9/10/2020. PI. National Science Foundation. “Collaborative Research CHS:Small: A Graph-based Data Fusion Framework Towards Guiding a Hybrid Brain-Computer Interface.”
8/12/2020. PI. National Science Foundation. “A Hybrid Brain-computer Interface for Long-Term Use by Persons with Severe Motor Deficit: Towards Development of Personalized Algorithms (supplement Intern support).”

Additional Links

LinkedIn
DigitalCommons@URI