Ehsan Rashedi

Associate Professor, Industrial and Systems Engineering

Department of Industrial and Systems Engineering

Kate Gleason College of Engineering

Ergonomics/Human Factors

exreie@rit.edu

585-475-7260

Office Hours

Mondays/Wednesdays 4:15 - 5 pm.

Office Location

GLE-1598

Ehsan Rashedi

Associate Professor, Industrial and Systems Engineering

Department of Industrial and Systems Engineering

Kate Gleason College of Engineering

Ergonomics/Human Factors

Education

BS, MS, Sharif University of Technology (Iran); MS, Ph.D., Virginia Polytechnic Institute and State University

Bio

Dr. Ehsan Rashedi is an Associate Professor in the Department of Industrial and Systems Engineering at the Rochester Institute of Technology (RIT) and Director of the Biomechanics and Ergonomics Laboratory. His research lies at the intersection of biomechanics, ergonomics and human factors, sensing technologies, human-centered artificial intelligence, and rehabilitation engineering. His work seeks to understand human movement and performance and to develop data-driven technologies that improve safety, mobility, health, and interaction with intelligent systems across occupational, clinical, and community settings.

Dr. Rashedi’s research integrates experimental human movement analysis with wearable sensing, computer vision, machine learning, and emerging interactive technologies. His research spans wearable and vision-based assessment of human movement, ergonomic risk assessment, human–robot interaction and collaboration, assistive technologies, digital health, and rehabilitation. Across these areas, his group is particularly interested in translating biomechanical and behavioral data into meaningful measures of human function and into technologies that can support safer movement, better decision-making, and more effective human–technology interaction.

A growing emphasis of Dr. Rashedi’s research is AI-enabled rehabilitation, mobility assessment, and fall prevention. His current NIH-funded research focuses on developing and evaluating smartphone-based digital coaching approaches to support fall prevention and safer mobility among stroke survivors. This work builds on his broader research in human movement assessment and combines engineering, rehabilitation, sensing, and human-centered design to develop technologies that can ultimately support people in their homes and communities. In parallel, his laboratory continues to investigate occupational biomechanics, musculoskeletal injury risk, wearable sensing, human–robot collaboration, and intelligent methods for understanding human activities and physical demands.

Dr. Rashedi received his B.S. and first M.S. degrees in Mechanical Engineering from Sharif University of Technology. He subsequently earned a second M.S. degree and his Ph.D. in Industrial and Systems Engineering from Virginia Tech. Prior to joining RIT, he was a postdoctoral researcher at Virginia Tech, where his research included exoskeletons, human gait and muscle fatigue, textile-based sensing technologies, and head-worn display systems.

Dr. Rashedi’s work has been published in journals spanning biomechanics, ergonomics, human factors, and safety science, including Ergonomics, Journal of Biomechanics, Journal of Electromyography and Kinesiology, PLOS ONE, and Safety Science. Through the Biomechanics and Ergonomics Laboratory, he collaborates across engineering, computing, healthcare, rehabilitation, and industry to advance human-centered technologies that connect rigorous measurement of human performance with practical solutions for safety, mobility, rehabilitation, and quality of life.

exreie@rit.edu

585-475-7260

Personal Links

Personal Website

ORCID

Google Scholar

Areas of Expertise

Human-Robot Interaction

Ergonomics and Biomechanics

Rehabilitation Engineering and Digital Health

Workplace Safety and Injury Prevention

Wearable Sensing and Human Motion Analysis

AI-Enabled Movement Analysis

Occupational Biomechanics

Human-Centered System Design

Select Scholarship

Published Conference Proceedings

Karvekar, Swapnali, Masoud Abdollahi, and Ehsan Rashedi. "A Data-Driven Model to Identify Fatigue Level Based on the Motion Data from a Smartphone." Proceedings of the 2019 IEEE Western New York Image and Signal Processing. Ed. IEEE. Rochester, NY: n.p., Web.

Rashedi, Ehsan, et al. "Classification of LBP Patients Using an IMU Signal and Machine Learning Approaches." Proceedings of the American Society of Biomechanics Annual Meeting. Ed. ASB. Calgary, Canada: n.p., Web.

Katawala, Kavish, et al. "Effects of Slip and Trip on Low Back and the Resulting Lumbar Muscle Activity, Low Back Loads." Proceedings of the Institute of Industrial Engineering Annual Conference and Expo. Ed. IISE. Orlando, FL: n.p., Web.

Luster, Maya, Rahul Soangra, and Ehsan Rashedi. "Effect of Back Fatigue on Gait and Propensity of Slip." Proceedings of the Institute of Industrial Engineering Annual Conference and Expo. Ed. IISE. Orlando, FL: n.p., Web.

Shaik, Abdul and Ehsan Rashedi. "Effects of Exertion Variability on the FDI Muscle Fatigue during Intermittent Contractions." Proceedings of the Institute of Industrial Engineering Annual Conference and Expo. Ed. IISE. Orlando, FL: n.p., Web.

Jadeja, Sid and Ehsan Rashedi. "Influence of Cognitive Loads on Fatigue Development and Recovery." Proceedings of the Institute of Industrial Engineering Annual Conference and Expo. Ed. IISE. Orlando, FL: n.p., Web.

Alemi, Mehdi, et al. "Assessing Slip and Trip Risk when Wearing Upper-Extremity Exoskeleton." Proceedings of the Proceedings of the American Society of Biomechanics Annual Meeting. Ed. ASB. Boulder, CO: ASB, 2017. Web.

Esfahani, Mohammad Mokhlespour, et al. "Effects of an Occupational Wearable Assistive Device on Low Back Loads." Proceedings of the Proceedings of the American Society of Biomechanics Annual Meeting. Ed. ASB. Boulder, CO: ASB, 2017. Web.

Rashedi, Ehsan, et al. "Effects of Plantarflexor Muscle Fatigue on Gait Characteristics." Proceedings of the Proceedings of the American Society of Biomechanics Annual Meeting. Ed. NA. Raleigh, NC: n.p., Print.

Rashedi, Ehsan and Maury A. Nussbaum. "History Dependency of Muscle Strength Recovery from a Fatiguing Intermittent Task." Proceedings of the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Washington DC, Washington DC: SAGE Publications, Web.

Alabdulkarim, Saad, et al. "Impact of Task Design on Productivity and Quality." Proceedings of the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Washington DC, Washington DC: SAGE Publications, Web.

Peer Reviewed/Juried Poster Presentation or Conference Paper

Karvekar, Swapnali, Masoud Abdollahi, and Ehsan Rashedi. "Smartphone-based Human Fatigue Detection for Daily Activities Using Gait Analysis." Proceedings of the Applied Human Factors and Ergonomics. Ed. AHFE. Washington, DC: n.p..

Journal Paper

Esfahani, Mohammad Iman Mokhlespour, et al. "Sharif-Human movement instrumentation system (SHARIF-HMIS): Development and validation." Medical Engineering & Physics 61. (2018): 87-94. Print.

Kim, Sunwook, et al. "Assessing the influence of a passive, upper extremity exoskeletal vest for tasks requiring arm elevation: Part I – “Expected” effects on discomfort, shoulder muscle activity, and work task performance." Applied Ergonomics 70. (2018): 315-322. Print.

Kim, Sunwook, et al. "Assessing the influence of a passive, upper extremity exoskeletal vest for tasks requiring arm elevation: Part II – “Unexpected” effects on shoulder motion, balance, and spine loading." Applied Ergonomics 70. (2018): 323-330. Print.

Soangra, Rahul, Hema Bhatt, and Ehsan Rashedi. "Effects of load carriage and surface inclination on linear and non-linear postural variability." Safety Science 110. (2018): 427-437. Print.

Ehsani, Hossein, et al. "The influence of mechanical vibration on local and central balance control." Journal of Biomechanics 71. (2018): 59-66. Print.

Rashedi, Ehsan and Maury A. Nussbaum. "Quantifying the History Dependency of Muscle Recovery From A Fatiguing Intermittent Task." Journal of Biomechanics 51. (2017): 26-31. Print.

Esfahani, Mohammad Mokhlespour, et al. "Trunk Motion System (TMS) Using Printed Body Worn Sensor (BWS) via Data Fusion Approach." Sensors 17. 1 (2017): 1-16. Print.

Alabdulkarim, Saad, et al. "Impact of Task Design on Task Performance and Injury Risk: Case Study of A Simulated Drilling Task." Ergonomics 60. 6 (2017): 851-866. Print.

Rashedi, Ehsan and Maury A. Nussbaum. "Cycle Time Influences the Development of Muscle Fatigue at Low to Moderate Levels of Intermittent Muscle Contraction." Journal of Electromyography and Kinesiology 28. (2016): 37-45. Web.

Eskandari, Amirhossein, et al. "The Effect of Parameters of Equilibrium-based 3-D Biomechanical Models on Extracted Muscle Synergies During Isometric Lumbar Exertion." Journal of Biomechanics 49. 6 (2016): 967-973. Web.

Alabdulkarim, Saad, et al. "Impact of Task Design on Task Performance and Injury Risk: Case Study of a Simulated Drilling Task." Ergonomics. (2016): 1-16. Web.

Currently Teaching

ISEE-330

Ergonomics and Human Factors

4 Credits

This course covers the physical and cognitive aspects of human performance to enable students to design work places, procedures, products and processes that are consistent with human capabilities and limitations. Principles of physical work and human anthropometry are studied to enable the student to systematically design work places, processes, and systems that are consistent with human capabilities and limitations. In addition, the human information processing capabilities are studied, which includes the human sensory, memory, attention and cognitive processes; display and control design principles; as well as human computer interface design.

ISEE-732

Systems Safety Engineering

3 Credits

Acquaints students with practical aspects of safety engineering. Students acquire a working knowledge of legal and technical aspects of safety. Focuses on a systems approach to safety engineering. Topics include Workers Compensation, OSHA, Consumer Product Safety Commission, NIOSH Guidelines and various hazard analysis and utilization techniques. Students also are exposed to various theories of accident causation, research methodology and ways of evaluating safety programs and related research.

ISEE-760

Design of Experiments

3 Credits

This course presents an in-depth study of the primary concepts of experimental design. Its applied approach uses theoretical tools acquired in other mathematics and statistics courses. Emphasis is placed on the role of replication and randomization in experimentation. Numerous designs and design strategies are reviewed and implications on data analysis are discussed. Topics include: consideration of type 1 and type 2 errors in experimentation, sample size determination, completely randomized designs, randomized complete block designs, blocking and confounding in experiments, Latin square and Graeco Latin square designs, general factorial designs, the 2k factorial design system, the 3k factorial design system, fractional factorial designs, Taguchi experimentation.

ISEE-799

Independent Study

1-3 Credits

This course is used by students who plan to study a topic on an independent study basis. The student must obtain the permission of the appropriate faculty member before registering for the course. Students registering for more than four credit hours must obtain the approval of both the department head and the adviser.

In the News

June 11, 2021

RIT wins award to develop game design training platform as part of NASA’s Moon-to-Mars Mission

RIT faculty-researchers will develop a game-design training system that could help astronauts maintain balance, motor skills, and other cognitive functions while in space. NASA, in partnership with the National Space Grant Foundation, has selected six university teams, including RIT, to develop innovative design ideas that will help NASA advance and execute its Moon to Mars exploration objectives.

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