Yalda Shahriari, Ph.D.

Dr. Yalda Shahriari is an Associate Professor of Biomedical Engineering and the director of NeuralPC Lab at the University of Rhode Island. Her research interests are biomedical signal processing, brain-computer interface (BCI), machine learning algorithms, healthcare units, and biomedical statistical data analysis.

Dr. Shahriari joined URI in 2016 after completing her postdoctoral studies at University of California, San Francisco (UCSF), following the achievement of her PhD at the Old Dominion University in 2015. Dr. Shahriari is the recipient of multiple National Science Foundation awards, including NSF/DARE, NSF/NCS, NSF/HCC, and Rhode Island IDeA Network of Biomedical Research Excellence. She is a professional member of Brain-Computer Interface (BCI) Society, Society for Neuroscience (SfN), IEEE Engineering in Medicine and Biology, and IEEE Signal Processing Society.

Curriculum Vitae: https://web.uri.edu/neuralpclab/wp-content/uploads/sites/2198/Yalda-Shahriari-CV-2024_General.pdf

Juan Manuel Mayor-Torres, Ph.D.

Juan is a postdoctoral fellow in NeuraPClab. He has a PhD in Computer Science, University of Trento, Italy. His work has been mainly focused on characterizing behavioral and clinical outcome measures from multiple biosignal and neural representations (e.g EEG, ECG, PPG) from clinical populations, such as Autism Spectrum Disorder (ASD) and Stroke using Deep Learning and Foundational models. Juan has been working as research assistant in Boston Children’s Hospital (BCH) and Stony Brook University, and as a postdoc in University College Dublin (UCD).

Juan is currently working in NeuralPClab to evaluate performance generalizability and trustworthy-interpretability measures from multiple Deep Learning models to predict stimuli and diagnosis-based labels from EEG+fNIRs features.

John McLinden, Ph.D.

John is a post-doctoral researcher working in the NeuralPC Lab

Fall 2020 –

John is currently working in the NeuralPC Lab. His research interests include noninvasive neuroimaging techniques, physiological processing, and the exploration of auditory processing. 

Behtom Adeli, Ph.D. Student

Dissertation: TBD

Fall 2023 –

Behtom is a Ph.D. student in Neural Engineering at the NeuralPC Lab, with research interests at the intersection of neural engineering, neuroscience, and deep learning. He is now working on developing a VR framework to elucidate visual hallucination from patients with Parkinson’s disease using multimodal neuroimaging and finding neural signatures of VH using explainable deep fusion models.

Alexander Cerullo, Ph.D. Student

Project: Multimodal EEG-fNIRS Analysis of Motor Imagery of Rhythmic Action Observation

Spring 2023 – Spring 2025 Master’s student
Spring 2025 –

His studies focus on neural engineering, statistical analysis, non-linear non-stationary data analysis, machine learning, and experimental design. He is currently working on multiple projects related to the interactions between action observation, motor imagery, mirror neurons, mental rotation, auditory processing, intended motion, and motion prediction systems. After earning a M.S. degree he continues his work as a Ph.D. student.