Maryam Raiyat Aliabadi

University of British Columbia

Papers

1

Total Citations

2

H-Index

1

About

Dr. Maryam Raiyat Aliabadi is a leading researcher at the intersection of cybersecurity and Industry 4.0, with a primary focus on securing cyber-physical systems and robotic manufacturing environments. Her most cited work, "Arming IDS Researchers with a Robotic Arm Dataset" (2022), addresses a critical gap in intrusion detection research by providing a specialized dataset for robotic arm systems—a cornerstone of smart manufacturing. This contribution has been instrumental in enabling the development of more robust anomaly detection methods tailored to industrial networks, earning her recognition as a key innovator in the field. With her research cited by peers advancing industrial cybersecurity, Dr. Aliabadi’s work directly supports the safe automation of research and development processes in smart factories. Her efforts help bridge the divide between traditional manufacturing and the complex, networked realities of Industry 4.0, making her a vital voice in the ongoing effort to protect critical infrastructure from emerging cyber threats.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Arming IDS Researchers with a Robotic Arm Dataset
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of British Columbia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago