Houtan Jebelli

ORCID: 0000-0003-4786-7616
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About
Contact & Profiles
Research Areas
  • Occupational Health and Safety Research
  • Quality and Safety in Healthcare
  • BIM and Construction Integration
  • Musculoskeletal pain and rehabilitation
  • EEG and Brain-Computer Interfaces
  • Non-Invasive Vital Sign Monitoring
  • Building Energy and Comfort Optimization
  • Prosthetics and Rehabilitation Robotics
  • Human-Automation Interaction and Safety
  • Effects of Vibration on Health
  • Balance, Gait, and Falls Prevention
  • Innovations in Concrete and Construction Materials
  • Smart Grid Energy Management
  • Digital Transformation in Industry
  • Ergonomics and Human Factors
  • Muscle activation and electromyography studies
  • Infrastructure Maintenance and Monitoring
  • Climate Change and Health Impacts
  • Thermoregulation and physiological responses
  • Elevator Systems and Control
  • Ergonomics and Musculoskeletal Disorders
  • Traffic and Road Safety
  • Risk and Safety Analysis
  • Robotics and Automated Systems
  • Safety Warnings and Signage

University of Illinois Urbana-Champaign
2023-2024

Virginia Tech
2024

Pennsylvania State University
2019-2024

Syracuse University
2024

The Ohio State University
2024

University of Washington
2022

ORCID
2021-2022

University of Michigan–Ann Arbor
2016-2019

Ewha Womans University
2017-2018

University of Nebraska–Lincoln
2014-2018

The advent of wearable sensing technologies has produced unprecedented opportunities for the near real-time collection and analysis workers' safety health data. To encourage proactive management these present, extensive research efforts have explored using various technologies—including motion sensors (e.g., inertial measurement units) physiological heart-rate sensors, electrodermal-activity skin-temperature eye trackers, brainwave monitors)—to detect potential hazards to continuously...

10.1061/(asce)co.1943-7862.0001708 article EN Journal of Construction Engineering and Management 2019-08-23

Construction workers' emotional states (e.g., pleasure, displeasure, excitement, and relaxation) are known as a critical factor that affect their performance safety, health, productivity). To prevent adverse impacts on work performance, measuring should take precedence to better understand how emotions vary while they working. Among many methods available measure states, electroencephalogram (EEG) has great potential for quantitative measurement by overcoming possible bias from the...

10.1061/(asce)co.1943-7862.0001506 article EN Journal of Construction Engineering and Management 2018-04-18

Investigating brain waves collected by an electroencephalogram (EEG) can be useful in understanding human psychosocial conditions such as stress, emotional exhaustion, burnout, and mental fatigue. Recently, off-the-shelf wearable EEG device, which is wireless, lightweight, affordable, has become available so that field construction workers' status explored without interfering with their ongoing work. However, capturing high-quality signals from a device very challenging at real sites because...

10.1061/(asce)cp.1943-5487.0000719 article EN Journal of Computing in Civil Engineering 2017-10-31

Automated worker action recognition helps to understand the state of workers' actions, enabling effective management work performance in terms productivity, safety, and health issues. A wristband equipped with an accelerometer (e.g., activity tracker) allows collect data related hand activities without interfering their ongoing work. Considering that many construction involve unique movements, use acceleration from a has great potential for activities. In this context, authors examine...

10.1061/(asce)co.1943-7862.0001579 article EN Journal of Construction Engineering and Management 2018-10-24

One of the major hazards workplace, and in life general, is occupational stress, which adversely affects workers' well-being, safety, productivity. The construction industry one most stressful occupations. Current stress-assessment tools rely either on a subject's perceived stress (e.g., questionnaires) or an individual's chemical reaction to stressors cortisol hormone). However, these methods can interrupt ongoing tasks therefore may not be suitable for continuous measurement. To address...

10.1061/(asce)co.1943-7862.0001729 article EN Journal of Construction Engineering and Management 2019-09-30

In construction worksites, slips, trips, and falls are major causes of fatal injuries. This fact demonstrates the need for a safety assessment method that provides comprehensive fall-risk analysis inclusive effects physiological characteristics workers. this context, research tests usefulness maximum Lyapunov exponents (Max LE) as metric to assess workers’ fall risk. Max LE, one gait-stability metrics established in clinical settings, estimates how stability worker reacts very small...

10.1061/(asce)cp.1943-5487.0000511 article EN Journal of Computing in Civil Engineering 2015-06-09

Recognizing the factors that cause stress is a crucial step toward early detection of stressors. In this regard, several studies make an effort to recognize individuals' using Electroencephalogram (EEG). However, current EEG-based recognition frameworks have drawbacks. First, they are mostly designed only in controlled laboratory environment. Second, do not take into account changes EEG signals different subjects under same Third, most algorithms occur offline setting. To address these...

10.1109/jbhi.2018.2870963 article EN IEEE Journal of Biomedical and Health Informatics 2018-09-18

The construction industry is one of the world's most labor-intensive industries. In it, workers are challenged almost every day by highly demanding physical tasks. Although current methods [e.g., National Institute for Occupational Safety and Health (NIOSH)] to investigate demands various tasks provide valuable information with which evaluate certain manual handling tasks, they may be limited consideration unique characteristics each individual (e.g., physiological characteristics)...

10.1061/(asce)co.1943-7862.0001710 article EN Journal of Construction Engineering and Management 2019-09-30

Poor work conditions and excessive physical demands associated with construction tasks increase the risks workers' impaired mental health. To prevent detrimental impacts that such have on project performance, measuring status should take precedence. In same vein, recent advancements in wearable technologies physiology opened a new door toward an objective, nonintrusive, continuous field measurement of using physiological signals acquired from devices. Despite this opportunity, there is...

10.1061/9780784481264.036 article EN Construction Research Congress 2022 2018-03-29

Work-related musculoskeletal disorders (WMSDs) are a leading cause of injury for workers who performing physically demanding and repetitive construction tasks. With recent advances in robotics, wearable robots introduced into the industry to mitigate risk WMSDs by correcting workers' postures reducing load exerted on their body joints. While promise reduce muscular physical demands perform tasks, there is lack understanding impact worker ergonomics. This may lead new ergonomic injuries...

10.1061/9780784485248.040 article EN Computing in Civil Engineering 2024-01-25

Construction is known as one of the most stressful occupations due to its involvement with physiologically and psychologically demanding tasks performed in a hazardous work environment. Because workers' stress critical factor that adversely affects productivity, safety, well-being, quality, understanding should take precedence management excessive stress. Various instruments for subjective measurement towards one's perceived have been used, but such methods rely on imprecise memory...

10.1061/9780784481288.005 article EN Construction Research Congress 2022 2018-03-29
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