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Ali Eshragh
Observed names:
A. Eshragh,
ALI ESHRAGH,
Eshragh, Ali
Institutions:
International Computer Science Institute,
Johns Hopkins University,
University of California, Berkeley
Observed institutions:
International Computer Science Institute,
Johns Hopkins University,
The University of Queensland,
University of South Australia,
University of Newcastle Australia,
University of California, Berkeley
show all 6
ORCID:
0000-0002-0874-1626
Observed ORCID:
0000-0002-0874-1626
OpenAlex ID:
A5074205731
A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis
2015
·
Behnam Fahimnia
, Joseph Sarkis
, et al.
·
Omega
·
229
Tactical supply chain planning under a carbon tax policy scheme: A case study
2014
·
Behnam Fahimnia
, Joseph Sarkis
, et al.
·
International Journal of Production Economics
·
175
Demand forecasting in the presence of systematic events: Cases in capturing sales promotions
2020
·
Mahdi Abolghasemi
, Jason Hurley
, et al.
·
International Journal of Production Economics
·
80
PDF
Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms
2015
·
Behnam Fahimnia
, Hoda Davarzani
, et al.
·
Computers & Operations Research
·
67
Average-reward model-free reinforcement learning: a systematic review and literature mapping
2020
·
Dewanto, Vektor
, Dunn, George
, et al.
·
arXiv (Cornell University)
·
40
PDF
Deep reinforcement learning for dynamic order picking in warehouse operations
2025
·
Sasan Mahmoudinazlou
, Abhay Sobhanan
, et al.
·
Computers & Operations Research
·
32
PDF
Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis
2020
·
Ali Eshragh
, Saed Alizamir
, et al.
·
PLoS ONE
·
24
A Projection-Adapted Cross Entropy (PACE) method for transmission network planning
2011
·
Ali Eshragh
, Jerzy Filar
, et al.
·
Energy Systems
·
22
A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem
2009
·
Ali Eshragh
, Jerzy A. Filar
, et al.
·
Annals of Operations Research
·
21
The Importance of Environmental Factors in Forecasting Australian Power Demand
2021
·
Ali Eshragh
, Benjamin Ganim
, et al.
·
Environmental Modeling & Assessment
·
19
PDF
On transition matrices of Markov chains corresponding to Hamiltonian cycles
2014
·
Konstantin Avrachenkov
, Ali Eshragh
, et al.
·
Annals of Operations Research
·
14
A New Approach to Distribution Fitting: Decision on Beliefs
2009
·
Ali Eshragh
, Modares Mohammad
·
Journal of industrial and systems engineering.
·
12
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
2019
·
Eshragh, Ali
, Roosta, Fred
, et al.
·
arXiv (Cornell University)
·
11
PDF
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study
2022
·
Alizamir, Saed
, Bandara, Kasun
, et al.
·
arXiv (Cornell University)
·
10
PDF
An analytical bound on the fleet size in vehicle routing problems: A dynamic programming approach
2020
·
Ali Eshragh
, Rasul Esmaeilbeigi
, et al.
·
Operations Research Letters
·
9
PDF
Hamiltonian Cycles, Random Walks, and Discounted Occupational Measures
2011
·
Ali Eshragh
, Jerzy Filar
·
Mathematics of Operations Research
·
9
A New Approach to Select the Best Subset of Predictors in Linear Regression Modelling: Bi-objective Mixed Integer Linear Programming
2019
·
HADI CHARKHGARD
, ALI ESHRAGH
·
ANZIAM Journal
·
8
PDF
Rollage: Efficient Rolling Average Algorithm to Estimate ARMA Models for Big Time Series Data
2021
·
Eshragh, Ali
, Livingston, Glen
, et al.
·
arXiv (Cornell University)
·
5
PDF
Deep Reinforcement Learning for Picker Routing Problem in Warehousing
2024
·
Dunn, George
, Charkhgard, Hadi
, et al.
·
arXiv (Cornell University)
·
4
PDF
Fisher Information for a partially observable simple birth process
2016
·
Nigel G. Bean
, Ali Eshragh
, et al.
·
Communication in Statistics- Theory and Methods
·
4
On Binomial Observations of Continuous-Time Markovian Population Models
2015
·
N. G. Bean
, R. Elliott
, et al.
·
Journal of Applied Probability
·
4
PDF
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
2025
·
Alsentzer, Emily
, Charpignon, Marie-Laure
, et al.
·
arXiv (Cornell University)
·
3
PDF
Toeplitz Least Squares Problems, Fast Algorithms and Big Data
2021
·
Eshragh, Ali
, Di Pietro, Oliver
, et al.
·
arXiv (Cornell University)
·
3
PDF
Solving hard bi-objective knapsack problems using deep reinforcement learning
2025
·
Hadi Charkhgard
, Hanieh Rastegar Moghaddam
, et al.
·
Discrete Optimization
·
2
A Modified Algorithm for Optimal Picker Routing in a Single Block Warehouse
2024
·
Dunn, George
, Charkhgard, Hadi
, et al.
·
arXiv (Cornell University)
·
2
PDF
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Works count:
41
Citation count:
818
H-index:
12
I10-index:
14
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