You can see and access my articles on Google Scholar: https://scholar.google.com.au/citations?user=PBXCXlcAAAAJ&hl=en
If you can't get them for free, email me at "mahdi.abolghasemi@qut.edu.au" for a copy.
"The intersection of Machine Learning with forecasting and optimization: theory and applications." Forecasting with AI: Theory and Applications, Palgrave US, Springer, pp. 313–339. Mahdi Abolghasemi.
"Understanding the Asymmetric Impact of Forecast Accuracy on Decision Quality", Australasian Conference in Data Science and Machine Learning, 2025. M Abolghasemi, R. Bean.
"The power of information sharing: evaluating POS and order data for hierarchical forecasting in multi-echelon supply chains", International Journal of Production Research, 2025. M Abolghasemi.
"Improving cross-temporal forecasts reconciliation accuracy and utility in energy market" Applied Energy, 2025. M Abolghasemi, D Girolimetto, T Di Fonzo.
"How to forecast power generation in wind farms? Insights from leveraging hierarchical structure." Sustainable Energy, Grid, and Networks, 2024. Lucas English, Mahdi Abolghasemi.
"Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI." International Journal of Forecasting, 2024. Mahdi Abolghasemi, Odko Ganbold, Kris Rotaruo.
"Machine learning for satisficing operational decisions: case study in blood supply chain." International Journal of Forecasting, 2023. Mahdi Abolghasemi, Babak Abbasi, Zahra Hoseini-Fard.
"Predictive analytics: The power to predict who will click, buy, lie, or die, Eric Siegel, John Wiley & Sons, Revised edition of the author’s Predictive analytics." International Journal of Forecasting, 2023. Mahdi Abolghasemi.
"Machine learning applications in time series hierarchical forecasting: Investigating the promotion impact." International Journal of Forecasting (Q1), 2023. DOI. Mahdi Abolghasemi, Garth Tarr, Christoph Bergmeir.
"The value of sharing point of sales information in supply chain forecasting." International Journal of Production Research (Q1), 2023. DOI. Mahdi Abolghasemi, Aris Syntetos, Bahman Rostami Tabar.
"Model selection in reconciling hierarchical time series." Machine Learning (Q1), 2022. DOI. Mahdi Abolghasemi, Rob J Hyndman, Evangelos Spiliotis, Christoph Bergmeir.
"Hierarchical forecast reconciliation with machine learning." Journal of Applied Soft Computing (Q1), 2021, 112, 107756. Evangelos Spiliotis, Mahdi Abolghasemi, Rob J Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos.
"Demand Forecasting in the Presence of Systematic Events: Cases in Capturing Sales Promotions." International Journal of Production Economics (Q1), August 2020. Mahdi Abolghasemi, Ali Eshragh, Jason Hurley, Behnam Fahimnia.
"Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion." Computer & Industrial Engineering (Q1), April 2020, Vol. 142. Mahdi Abolghasemi, Richard Gerlach, Garth Tarr, Eric Beh.
"An integrated scenario-based robust planning approach for foresight and strategic management with application to energy industry." Technological Forecasting and Social Change (Q1), 2016, Vol 104. Reza Alizadeh, Peter Lund, Ali Beinaghi, Mahdi Abolghasemi, Reza Maknoon.
"Considering pricing and uncertainty in design of a reverse logistics network." International Journal of Industrial and System Engineering (Q2), May 2020, Vol 35, Issue 2. Mohsen Zamani, Mahdi Abolghasemi, Seyed Mohammad Seyed Hosseini, Mir Saman Pishvaee.
"A new approach for supply chain risk management: Mapping SCOR into Bayesian Networks." Journal of Industrial Engineering and Management, Vol 8(1), 2014 (Q2). Mahdi Abolghasemi, Vahid Khodakarami, Hamid Tehranifard.
"A Bayesian framework for strategic management in energy industry." International Journal of Science, Engineering and Technology, November 2014, Vol 3(11) (Q2). Mahdi Abolghasemi, Reza Alizadeh.
"Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework." Australasian Joint Conference in Artificial Intelligence (AJCAI), 28 Nov-2 Dec 2023, Brisbane. Mitchell Keegan, Mahdi Abolghasemi.
"Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions." Modeling and Simulation Conference (MODSIM), 5-10th December 2021, Sydney. Muhammad Hamza, Mahdi Abolghasemi, Abraham Oshni Alvandi.
"State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge." IEEE Symposium Series on Computational Intelligence, December 5th – 7th 2021, Orlando, Florida, USA. Mahdi Abolghasemi, Rasul Esmaeilbeigi.
"Measuring Down Stream Supply Chain performance Using Bayesian Network." 44th International Conference of Computer and Industrial Engineering, 14-16 Oct 2014, Istanbul, Turkey. Mahdi Abolghasemi, Vahid Khodakarami.
"The IIF Forecasting Impact Podcast." Foresight: The International Journal of Applied Forecasting, 2022, 67, p 41-47, Q4. Shari De Baets, Mahdi Abolghasemi, Sarah Van Der Auweraer, Anna Sroginis, Michale Chojnowski.
"Information Sharing in Supply Chain: The value of POS data in order forecasting." 17th ANZAM Operations, Supply Chain and Services Management Symposium, 10-12th June, 2019, University of Melbourne, Melbourne. Mahdi Abolghasemi, Richard Gerlach, Garth Tarr.
"Demand Forecasting in Supply Chain: Machine learning vs Statistical judgemental forecasting." 16th ANZAM Operations, Supply Chain and Services Management Symposium, 3-5 June 2018, Central University of Queensland, Brisbane. Mahdi Abolghasemi, Richard Gerlach, Garth Tarr.
"How to predict and optimize with asymmetric error metrics." arXiv link. Mahdi Abolghasemi, Richard Bean.
"Detecting anomalous inside-LAN behaviour using hierarchical forecasting.". Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Roa.