Follow
Soroush Korivand
Soroush Korivand
Postdoctoral Fellow at Southern Methodist University
Verified email at smu.edu
Title
Cited by
Cited by
Year
Design and fabrication of a novel vibration-assisted drilling tool using a torsional magnetostrictive transducer
MR Karafi, S Korivand
The International Journal of Advanced Manufacturing Technology 102, 2095-2106, 2019
132019
A comprehensive decoding of cognitive load
X Zhu, S Korivand, K Hamill, N Jalili, J Gong
Smart Health 26, 100336, 2022
82022
Experiment protocols for brain-body imaging of locomotion: A systematic review
S Korivand, N Jalili, J Gong
Frontiers in Neuroscience 17, 1051500, 2023
62023
Inertia-constrained reinforcement learning to enhance human motor control modeling
S Korivand, N Jalili, J Gong
Sensors 23 (5), 2698, 2023
42023
Band gap and stiffness tuning of a sandwich plate by magnetostrictive materials
S Korivand, A Mehrvarz, N Candelino, MJ Khodaei, N Jalili
ASME Letters in Dynamic Systems and Control 1 (4), 041007, 2021
32021
A Framework for Human-Robot Teaming Performance Prediction: Reinforcement Learning and Eye Movement Analysis
GM Galvani, S Korivand, A Ajoudani, J Gong, N Jalili
ASME International Mechanical Engineering Congress and Exposition 87608 …, 2023
12023
Toward personalized rehabilitation employing classification, localization, and visualization of brain–arm movement relationships
S Korivand, X Zhu, N Jalili, K Koh, LQ Zhang, J Gong
Smart Health 28, 100397, 2023
12023
Reconstructing human gaze behavior from EEG using inverse reinforcement learning
J Gong, S Cao, S Korivand, N Jalili
Smart Health 32, 100480, 2024
2024
Optimizing Human–Robot Teaming Performance through Q-Learning-Based Task Load Adjustment and Physiological Data Analysis
S Korivand, G Galvani, A Ajoudani, J Gong, N Jalili
Sensors 24 (9), 2817, 2024
2024
Multimodal Neurophysiological Data and Reinforcement Learning: Enhancing Rehabilitation and Optimizing Human-Robot Teaming
S Korivand
University of Alabama Libraries, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–10