Nahid Majlesinasab
Nahid Majlesinasab
Data Scientist, MODE Transportation Company
Verified email at
Cited by
Cited by
Two new models for redeployment of ambulances
M Maleki, N Majlesinasab, MM Sepehri
Computers & Industrial Engineering 78, 271-284, 2014
Designing a redeployment model for located ambulances
MM Sepehri, M Maleki, N Majlesi Nasab
International Journal of Industrial Engineering & Production Management 24 …, 2013
Self-tuned mirror descent schemes for smooth and nonsmooth high-dimensional stochastic optimization
N Majlesinasab, F Yousefian, A Pourhabib
IEEE Transactions on Automatic Control, 2019
A first-order method for monotone stochastic variational inequalities on semidefinite matrix spaces
N Majlesinasab, F Yousefian, MJ Feizollahi
2019 American Control Conference (ACC), 169-174, 2019
Performance evaluation of an EMS system using queuing theory and location analysis: A case study
N Majlesinasab, M Maleki, E Nikbakhsh
The American Journal of Emergency Medicine 51, 32-45, 2022
First-order Methods with Convergence Rates for Multi-agent Systems on Semidefinite Matrix Spaces
N Majlesinasab, F Yousefian, MJ Feizollahi
arXiv preprint arXiv:1902.05900, 2019
Self-Tuned, Block-Coordinate, and Incremental Mirror Descent Methods with Applications in Machine Learning and Wireless Communications
N Majlesinasab
Oklahoma State University, 2020
طراحی مدل استقرار مجدد آمبولانسهای مکانیافته
سپهری, ملکی, مجلسی نسب, ناهیدسادات
نشریه بین المللی مهندسی صنایع و مدیریت تولید 24 (2), 171-182, 2013
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