Behnaz Ghoraani

Behnaz Ghoraani

Florida Atlantic University

H-index: 19

North America-United States

About Behnaz Ghoraani

Behnaz Ghoraani, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Florida Atlantic University, specializes in the field of Biomedical Data Science, Wearable Computing, Machine Learning, Remote Monitoring.

His recent articles reflect a diverse array of research interests and contributions to the field:

Curve Walking Reveals More Gait Impairments in Older Adults with Mild Cognitive Impairment than Straight Walking: A Kinect Camera-Based Study

Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data

Deep neural networks for wearable sensor-based activity recognition in Parkinson’s disease: investigating generalizability and model complexity

Use of sensors for fall prediction in older persons: a scoping review

Exploring the feasibility of tensor decomposition for analysis of fNIRS signals: a comparative study with grand averaging method

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2)[From the Guest Editors]

Incremental learning in time-series data using reinforcement learning

Alzheimer’s disease detection using comprehensive analysis of Timed Up and Go test via Kinect V. 2 camera and machine learning

Behnaz Ghoraani Information

University

Position

___

Citations(all)

1400

Citations(since 2020)

965

Cited By

917

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

32

i10Index(since 2020)

24

Email

University Profile Page

Florida Atlantic University

Google Scholar

View Google Scholar Profile

Behnaz Ghoraani Skills & Research Interests

Biomedical Data Science

Wearable Computing

Machine Learning

Remote Monitoring

Top articles of Behnaz Ghoraani

Title

Journal

Author(s)

Publication Date

Curve Walking Reveals More Gait Impairments in Older Adults with Mild Cognitive Impairment than Straight Walking: A Kinect Camera-Based Study

Journal of Alzheimer's Disease Reports

Mahmoud Seifallahi

James E Galvin

Behnaz Ghoraani

2024/1/1

Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data

IEEE Transactions on Emerging Topics in Computational Intelligence

Murtadha D Hssayeni

Behnaz Ghoraani

2024/3/19

Deep neural networks for wearable sensor-based activity recognition in Parkinson’s disease: investigating generalizability and model complexity

BioMedical Engineering OnLine

Shelly Davidashvilly

Maria Cardei

Murtadha Hssayeni

Christopher Chi

Behnaz Ghoraani

2024/2/9

Use of sensors for fall prediction in older persons: a scoping review

Rebecca Koszalinski

Ruth M Tappen

Behnaz Ghoraani

Edgar Ramos Vieira

Oge Marques

...

2023/12/1

Exploring the feasibility of tensor decomposition for analysis of fNIRS signals: a comparative study with grand averaging method

Frontiers in Neuroscience

Jasmine Y Chan

Murtadha D Hssayeni

Teresa Wilcox

Behnaz Ghoraani

2023/8/10

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2)[From the Guest Editors]

IEEE Signal Processing Magazine

Rodrigo Capobianco Guido

Tulay Adali

Emil Björnson

Laure Blanc-Féraud

Ulisses Braga-Neto

...

2023/7/20

Incremental learning in time-series data using reinforcement learning

Mustafa Shuqair

Joohi Jimenez-Shahed

Behnaz Ghoraani

2022/11/28

Alzheimer’s disease detection using comprehensive analysis of Timed Up and Go test via Kinect V. 2 camera and machine learning

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Mahmoud Seifallahi

Afsoon Hasani Mehraban

James E Galvin

Behnaz Ghoraani

2022/6/8

Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition

Jasmine Chan

Teresa Wilcox

Murtadha Hssayeni

Behnaz Ghoraani

2022/10/9

Computational methods for physiological signal processing and data analysis

Yunfeng Wu

Sridhar Krishnan

Behnaz Ghoraani

2022/8/10

Biological signal processing and analysis for healthcare monitoring

Yunfeng Wu

Behnaz Ghoraani

2022/7/18

Activity recognition in parkinson's patients from motion data using a cnn model trained by healthy subjects

Shelly Davidashvilly

Murtadha Hssayeni

Christopher Chi

Joohi Jimenez-Shahed

Behnaz Ghoraani

2022/7/11

Detection of mild cognitive impairment from quantitative analysis of timed up and go (tug)

Mahmoud Seifallahi

James E Galvin

Behnaz Ghoraani

2022/11/28

Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model

Murtadha D Hssayeni

Joohi Jimenez-Shahed

Behnaz Ghoraani

2022/7/11

Point of view: wearable systems for at-home monitoring of motor complications in Parkinson's disease should deliver clinically actionable information

Behnaz Ghoraani

James E Galvin

Joohi Jimenez-Shahed

2021/3/1

Multi-modal physiological data fusion for affect estimation using deep learning

IEEE Access

Murtadha D Hssayeni

Behnaz Ghoraani

2021/2/1

The forecast of COVID-19 spread risk at the county level

Journal of big data

Murtadha D Hssayeni

Arjuna Chala

Roger Dev

Lili Xu

Jesse Shaw

...

2021/12

Detection of mild cognitive impairment and Alzheimer’s disease using dual-task gait assessments and machine learning

Biomedical signal processing and control

Behnaz Ghoraani

Lillian N Boettcher

Murtadha D Hssayeni

Amie Rosenfeld

Magdalena I Tolea

...

2021/2/1

Ensemble deep model for continuous estimation of Unified Parkinson’s Disease Rating Scale III

Biomedical engineering online

Murtadha D Hssayeni

Joohi Jimenez-Shahed

Michelle A Burack

Behnaz Ghoraani

2021/12

Response to “Comment on:“Point of view: Wearable systems for at-home monitoring of motor complications in Parkinson's disease should deliver clinically actionable information”

Parkinsonism & related disorders

Behnaz Ghoraani

James E Galvin

Joohi Jimenez-Shahed

2021/5/1

See List of Professors in Behnaz Ghoraani University(Florida Atlantic University)