• 1578 Citations
  • 23 h-Index
1987 …2019
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Fingerprint Dive into the research topics where Mohsen Jafari is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Layered manufacturing Engineering & Materials Science
Petri nets Engineering & Materials Science
Controllers Engineering & Materials Science
Planning Engineering & Materials Science
Cellular manufacturing Engineering & Materials Science
Costs Engineering & Materials Science
Specifications Engineering & Materials Science
Asset management Engineering & Materials Science

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Research Output 1987 2019

  • 1578 Citations
  • 23 h-Index
  • 62 Article
  • 31 Conference contribution
  • 16 Conference article
  • 11 Paper

A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data

Arbabzadeh, N., Jafari, M., Jalayer, M., Jiang, S. & Kharbeche, M., Mar 2019, In : Transportation Research Part C: Emerging Technologies. 100, p. 107-124 18 p.

Research output: Contribution to journalArticle

Alarm systems
Collision avoidance
accident statistics
2 Citations (Scopus)

HVAC load synchronization in smart building communities

Ghofrani, A., Nazemi, S. D. & Jafari, M., Nov 1 2019, In : Sustainable Cities and Society. 51, 101741.

Research output: Contribution to journalArticle

Intelligent buildings
Loads (forces)

Joint Optimization of Operation and Maintenance Policies for Solar-Powered Microgrids

Mahani, K., Liang, Z., Parlikad, A. K. & Jafari, M., Apr 1 2019, In : IEEE Transactions on Sustainable Energy. 10, 2, p. 833-842 10 p., 8388872.

Research output: Contribution to journalArticle

Linear programming
Markov processes
Analytical models
Aging of materials
18 Citations (Scopus)

A Data-Driven Approach for Driving Safety Risk Prediction Using Driver Behavior and Roadway Information Data

Arbabzadeh, N. & Jafari, M., Feb 2018, In : IEEE Transactions on Intelligent Transportation Systems. 19, 2, p. 446-460 15 p., 7945483.

Research output: Contribution to journalArticle

Advanced driver assistance systems
12 Citations (Scopus)

Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques

Jabbar, R., Al-Khalifa, K., Kharbeche, M., Alhajyaseen, W., Jafari, M. & Jiang, S., Jan 1 2018, In : Procedia Computer Science. 130, p. 400-407 8 p.

Research output: Contribution to journalConference article

Highway accidents
Deep neural networks