# Marjan Yaghoubi

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/marjan-yaghoubi/

## Facts

| Field | Value |
| --- | --- |
| Citations | 315 |
| Field | Scheduling and Optimization Algorithms |
| h-index | 5 |
| i10-index | 5 |
| Last Known Institution | University of Victoria |
| OpenAlex ID | https://openalex.org/A5050681789 |
| ORCID iD | 0000-0002-8585-5854 |
| Works | 7 |

## Researcher papers

- [Intelligent manufacturing execution systems: A systematic review](https://scholariq.org/papers/intelligent-manufacturing-execution-systems-a-systematic-review/)
- [A review of recent trend in motion planning of industrial robots](https://scholariq.org/papers/a-review-of-recent-trend-in-motion-planning-of-industrial-robots/)
- [Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions](https://scholariq.org/papers/deep-reinforcement-learning-for-machine-scheduling-methodology-the-state-of-the-3/)
- [A High-Fidelity Simulation Platform for Industrial Manufacturing by Incorporating Robotic Dynamics Into an Industrial Simulation Tool](https://scholariq.org/papers/a-high-fidelity-simulation-platform-for-industrial-manufacturing-by/)
- [Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions](https://scholariq.org/papers/deep-reinforcement-learning-for-machine-scheduling-methodology-the-state-of-the/)
- [Subgroup-specific regression models](https://scholariq.org/papers/subgroup-specific-regression-models/)
- [Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions](https://scholariq.org/papers/deep-reinforcement-learning-for-machine-scheduling-methodology-the-state-of-the-2/)

## Researcher topics

- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Flexible and Reconfigurable Manufacturing Systems](https://scholariq.org/topics/flexible-and-reconfigurable-manufacturing-systems/)
- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)

## Researcher university

- [University of Victoria](https://scholariq.org/institutions/university-of-victoria/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.