Fatemeh Elhambakhsh

Research Interests:

Additive Manufacturing, Digitization, Machine Learning, and Statistical Learning

Education:

Education:

M.Sc., Industrial Engineering (May. 2020)

• Iran University of Science and Technology (IUST), Tehran, Iran

• Minor in Systems Optimization

B.Sc., Industrial Engineering (Feb. 2015)

• Urmia University of Technology, Urmia, Iran

Professional Experience:

• Graduate Research Associate, School of Manufacturing Systems and Networks, ASU, USA, Dec. 2022-Present
• Teaching Assistant, Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran, Sep. 2020- Feb. 2021

Publications:

• Elhambakhsh, F. and Sabri-Laghaie, K., 2022. The SCAN method to monitor cryptocurrency transactions. International Journal of Industrial Engineering & Production Research, 33(1), pp.1-14.
• Elhambakhsh, F., Sabri-Laghaie, K. and Noorossana, R., 2022. A latent space model and Hotelling’s T2 control chart to monitor the networks of Covid-19 symptoms. Journal of Applied Statistics, pp.1-23.
• Elhambakhsh, F. and Saidi-Mehrabad, M., 2021. Developing a method for modeling and monitoring of dynamic networks using latent variables. International Journal of Industrial Engineering & Production Research, 32(1), pp.29-36.
• Sabri-Laghaie, K., Jafarzadeh Ghoushchi, S., Elhambakhsh, F. and Mardani, A., 2020. Monitoring blockchain cryptocurrency transactions to improve the trustworthiness of the fourth industrial revolution (Industry 4.0). Algorithms, 13(12), p.312.

Honors & Awards:

• Ranked as top four percent in the Nationwide University Entrance Exam, Iran, 2017

Service & Skills:

Skills:

• Programming: R (2017-Present), Python (2017-Present), Matlab (2013-2014 & 2017-Present)
• Language: Turkish: Native; Persian: Native; English: Advanced; French: Intermediate