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Mahdi Abolghasemi
Mahdi Abolghasemi
Senior Lecturer in Data Science, Queensland University of Technology
Adresă de e-mail confirmată pe qut.edu.au
Titlu
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Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
M Abolghasemi, E Beh, G Tarr, R Gerlach
Computers & Industrial Engineering 142, 106380, 2020
2012020
An integrated scenario-based robust planning approach for foresight and strategic management with application to energy industry
R Alizadeh, PD Lund, A Beynaghi, M Abolghasemi, R Maknoon
Technological Forecasting and Social Change 104, 162-171, 2016
1372016
A new approach for supply chain risk management: Mapping SCOR into Bayesian network
M Abolghasemi, V Khodakarami, H Tehranifard
Journal of Industrial Engineering and Management (JIEM) 8 (1), 280-302, 2015
812015
Demand forecasting in the presence of systematic events: Cases in capturing sales promotions
M Abolghasemi, J Hurley, A Eshragh, B Fahimnia
International Journal of Production Economics 230, 107892, 2020
722020
Hierarchical forecast reconciliation with machine learning
E Spiliotis, M Abolghasemi, RJ Hyndman, F Petropoulos, ...
Applied Soft Computing 112, 107756, 2021
682021
Machine learning applications in time series hierarchical forecasting
M Abolghasemi, RJ Hyndman, G Tarr, C Bergmeir
arXiv preprint arXiv:1912.00370, 2019
352019
Model selection in reconciling hierarchical time series
M Abolghasemi, RJ Hyndman, E Spiliotis, C Bergmeir
Machine Learning, 1-51, 2022
262022
Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions
M Abolghasemi, G Tarr, C Bergmeir
International Journal of Forecasting 40 (2), 597-615, 2024
212024
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd technical challenge
M Abolghasemi, R Esmaeilbeigi
arXiv preprint arXiv:2112.03595, 2021
132021
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
M Abolghasemi, B Abbasi, T Babaei, Z HosseiniFard
arXiv preprint arXiv:2105.06618, 2021
132021
Humans vs. large language models: Judgmental forecasting in an era of advanced AI
M Abolghasemi, O Ganbold, K Rotaru
International Journal of Forecasting, 2024
112024
Machine learning for satisficing operational decision making: A case study in blood supply chain
M Abolghasemi, B Abbasi, Z HosseiniFard
International Journal of Forecasting 41 (1), 3-19, 2025
82025
The value of point of sales information in upstream supply chain forecasting: an empirical investigation
M Abolghasemi, B Rostami-Tabar, A Syntetos
International Journal of Production Research 61 (7), 2162-2177, 2023
82023
Comparison and evaluation of methods for a predict+ optimize problem in renewable energy
C Bergmeir, F de Nijs, A Sriramulu, M Abolghasemi, R Bean, J Betts, ...
arXiv preprint arXiv:2212.10723, 2022
72022
The intersection of machine learning with forecasting and optimisation: theory and applications
M Abolghasemi
Forecasting with Artificial Intelligence: Theory and Applications, 313-339, 2023
62023
Considering pricing and uncertainty in designing a reverse logistics network
M Zamani, M Abolghasemi, SMS Hosseini, MS Pishvaee
International Journal of Industrial and Systems Engineering 35 (2), 158-182, 2020
62020
A Bayesian framework for strategic management in the energy industry
M Abolghasemi, R Alizadeh
International Journal of Science, Engineering and Technology 3 (11), 1360-1366, 2014
62014
How to predict and optimise with asymmetric error metrics
M Abolghasemi, R Bean
arXiv preprint arXiv:2211.13586, 2022
52022
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
L English, M Abolghasemi
Sustainable Energy, Grids and Networks 40, 101517, 2024
32024
Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions
M Hamza, M Abolghasemi, AO Alvandi
24th International Congress on Modelling and Simulation (MODSIM), 974-980, 2021
22021
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