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Soroush Korivand

Soroush Korivand

Assistant Professor

Office: 207 Carpenter Hall
Email: skorivand@me.msstate.edu
Phone: 662.325.9154

Link to Google Scholar

Education

  • Ph.D., Mechanical Engineering, University of Alabama, 2023
  • M.S., Computer Science, University of Alabama, 2022
  • M.S., Mechanical Engineering, Tarbiat Modares University, Iran, 2017
  • B.S., Mechanical Engineering, Arak University, Iran, 2015

 

Experience Record

  • Assistant Professor, Michael W. Hall School of Mechanical Engineering, Mississippi State University, 2024-present 
  • Postdoctoral Fellow, Department of Mechanical Engineering, Southern Methodist University, 2023-2024

 

Subject Areas Taught

  • Mechanics of Machinery
  • Robotics

Research Overview

  • Human-Machine Interaction: Focuses on enhancing the interaction between humans and machines in different sectors including manufacturing, healthcare, education, and police work.
  • Human-Robot Interaction: Investigates how robots can work collaboratively with humans, improving efficiency and safety in various applications, from industrial automation to assistive technologies.
  • Brain-Computer Interface: Develops and utilizes brain-computer interfaces to enable direct communication between the human brain and machines, enhancing control and adaptability in rehabilitation and other areas.
  • AI and Machine Learning: Employs machine learning and reinforcement learning algorithms to optimize the performance and decision-making capabilities of different agents such as robots.
  • Integration of Sensors and Actuators: Leverages advanced sensors, actuators, and robotic systems to create responsive and intelligent agents and environments.

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Selected Publications

Journal Articles

  • Korivand, S., Galvani, J., Ajoudani, A., Gong, J., Jalili, N., (2024) Predicting and Maximizing the Human-Robot Teaming Performance: A Reinforcement Learning Approach with Physiological Data. Journal of MDPI Sensors.
  • Gong, J., Cao, S., Korivand, S., and Jalili, N., (2024). Reconstructing Human Gaze Behavior from EEG Using Inverse Reinforcement Learning. Smart Health.
  • Galvani, G., Korivand, S., Ajoudani, A., Gong, J., Jalili, N., (2023) A Framework for Human-Robot Teaming Performance Prediction: Reinforcement Learning and Eye Movement Analysis. ASME International Mechanical Engineering Congress and Exposition.
  • Korivand, S., Zhu, X., Jalili, N., Koh, K., Zhang, L., and Gong, J., (2023). Towards Personalized Rehabilitation Employing Classification, Localization, and Visualization of Brain-Arm Movement Relationships. Smart Health.
  • Korivand, S., Jalili, N., Gong, J., (2023) Inertial-Constrained Reinforcement Learning to Enhance Human Motor Control Modeling. Journal of MDPI Sensors.

Awards and Honors

  • Outstanding Teaching Award 2022 in the Mechanical Engineering Department at The University of Alabama.
  • The best student of the year 2022 in the Mechanical Engineering Department at The University of Alabama.
  • The Best Graduate Research Exposition of The University of Alabama in the Mechanical Engineering Department (2019 & 2022).
  • Best Student Paper Award at the IEEE/ACM CHASE Conference 2022.