Maryam Ahang

University of Victoria

Papers

2

Total Citations

45

H-Index

2

About

No biography available yet.

Research Focus

Artificial intelligence2 · 45 citations
Computer science2 · 45 citations
Engineering2 · 45 citations
Operations research2 · 45 citations
Reinforcement learning2 · 45 citations
Scheduling (production processes)2 · 45 citations
Machine learning2 · 45 citations
Operations management2 · 45 citations
Industrial engineering1 · 30 citations
Structural engineering1 · 30 citations
Reinforcement1 · 30 citations

Key Achievements

2
H-Index
2
Papers
45
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
30 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Victoria

Top Papers

  1. 1
    Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
    30 citations · 2025
  2. 2
    Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions
    15 citations · 2023

Key Collaborators

TCTodd Charter2 shared papersMJMasoud Jalayer2 shared papersMKMaziyar Khadivi2 shared papersMYMarjan Yaghoubi2 shared papersHNHomayoun Najjaran2 shared papersASArdeshir Shojaeinasab2 shared papers
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