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Reza Sadeghi

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Reza Sadeghi

Reza Sadeghi

Reza Sadeghi

Reza Sadeghi

Computer Science Supervisor

Computer Science Supervisor

Computer Science Supervisor

School of Computer Science and Mathematics, Marist College, Poughkeepsie, NY, USA

USA

Biography

Dr. Reza Sadeghi is an Assistant Professor of Computer Science at Marist College. Before Marist College, he experienced lecturing various Applied Data Science and Computer Science courses at four higher education institute of Sacred Heart UniversityUniversity of New HavenBay Path University and Providence College.
Dr. Sadeghi received his PhD in Computer Science from Wright State University. His main specialty is machine learning, and he loves to research in the fields of health care, Web, and learning analytics. Throughout his PhD, he was a graduate research assistant in the Data Science for Healthcare Lab.
He was also research trainee at the division of Sleep and Circadian Disorders at Brigham and Women's Hospital, Harvard Medical School.
He contributes to the Institute of Electrical and Electronics Engineers (IEEE), IEEE Engineering in Medicine and Biology Society (EMBS), and the American Thoracic Society (ATS).

Publications

Title

Year

Statistic deviation mode balancer (SDMB): A novel sampling algorithm for imbalanced data

M Alimoradi, R Sadeghi, A Daliri, M Zabihimayvan

Neurocomputing 624, 129484

2025

Security, information, and structure characterization of Tor: a survey

M Zabihimayvan, R Sadeghi, D Doran

Telecommunication Systems 87 (1), 239-255

2024

World Hyper-Heuristic: A novel reinforcement learning approach for dynamic exploration and exploitation

A Daliri, M Alimoradi, M Zabihimayvan, R Sadeghi

Expert systems with applications 244, 122931

2024

Equilateral Active Learning (EAL): A novel framework for predicting autism spectrum disorder based on active fuzzy federated learning

A Daliri, M Khoshbakhti, MK Samadi, M Rahiminia, M Zabihimayvan, ...

Artificial Intelligence and Social Computing

2024

How do high school students' genetics progression networks change due to genetics instruction and how do they stabilize years after instruction?

A Todd, W Romine, R Sadeghi, K Cook Whitt, T Banerjee

Journal of Research in Science Teaching 59 (5), 779-807

2022

Deep neural classification of darknet traffic

M Alimoradi, M Zabihimayvan, A Daliri, R Sledzik, R Sadeghi

Artificial intelligence research and development, 105-114

2022

Interaction of structure and information on tor

M Zabihimayvan, R Sadeghi, D Kadariya, D Doran

International Conference on Complex Networks and Their Applications, 296-307

2020

Using machine learning to train a wearable device for measuring students’ cognitive load during problem-solving activities based on electrodermal activity, body temperature …

WL Romine, NL Schroeder, J Graft, F Yang, R Sadeghi, M Zabihimayvan, ...

Sensors 20 (17), 4833

2020

Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability

R Sadeghi, T Banerjee, J Hughes

2020

Sleep propensity and sleep apnea-specific hypoxia are associated with excessive daytime sleepiness

R Sadeghi, MK Younes, SA Sands, LT Taranto-Montemurro, S Bertisch, ...

A109. SRN: WHEN BRAIN MEETS BRAWN: THE INTERSECTION OF NEUROCOGNITIVE AND …

2020

Post-Event Tachycardia Combined with Sleep Apnea-Specific Hypoxic Burden Is a Strong Predictor of Cardiovascular Morbidity and Mortality

A Azarbarzin, SA Sands, MK Younes, L Taranto Montemurro, D Vena, ...

A97. SRN: NEW INSIGHTS INTO THE CARDIOMETABOLIC CONSEQUENCES OF INSUFFICIENT …

2020

William L. Romine*, Noah L. Schroeder 2, Josephine Graft, Fan Yang 3, Reza Sadeghi 4

M Zabihimayvan, D Kadariya, T Banerjee

Sensors 20, 4833

2020

Predicting Subjective Sleep Quality Using Objective Measurements in Older Adults

R Sadeghi

2020

Predicting alcohol withdrawal in intensive care units

R Sadeghi, T Banerjee, WL Romine

Symposium of Student Research, Scholarship, and Creative Activities Materials

2020

Sleep quality prediction in caregivers using physiological signals

R Sadeghi, T Banerjee, JC Hughes, LW Lawhorne

Computers in biology and medicine 110, 276-288

2019

A broad evaluation of the tor english content ecosystem

M Zabihimayvan, R Sadeghi, D Doran, M Allahyari

Proceedings of the 10th ACM Conference on Web Science, 333-342

2019

Early hospital mortality prediction using vital signals

R Sadeghi, T Banerjee, W Romine

Smart Health

2018

Detection of Web site visitors based on fuzzy rough sets

J Hamidzadeh, M Zabihimayvan, R Sadeghi

Soft Computing 22 (7), 2175-2188

2018

Automatic support vector data description

R Sadeghi, J Hamidzadeh

Soft Computing 22 (1), 147-158

2018

A soft computing approach for benign and malicious web robot detection

M Zabihimayvan, R Sadeghi, HN Rude, D Doran

Expert Systems with Applications 87, 129-140

2017

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Machine Learning in Healthcare © 2025.
All Rights Received

Designed by Nima Zaeimzadeh

Join The Future

Have a question? Get in touch with us now!

Machine Learning in Healthcare © 2025. All Rights Received

Designed by Nima Zaeimzadeh

Join The Future

Have a question?
Get in touch with us now!

Machine Learning in Healthcare © 2025

All Rights Received

Designed by Nima Zaeimzadeh

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