Dr. Michal Koren

Dr. Koren completed her PhD at the Faculty of Administration at Bar Ilan University. As part of her doctoral thesis she is developing a mathematical model for forecasting fashion trends, while placing an emphasis on minimal costs in the supply chain and customer sensitivity to product substitutability. Prior to that, she completed her master's degree at Bar Ilan University with honors and her bachelor's degree in Industrial Engineering and Management at Shenkar. She specializes in fashion forecasting, management of supply chains and forecasting models. Her research interests include Operations Research, Supply Chain, Machine Learning, Artificial Intelligence and Quantum Computing. Michal is deputy dean at the School of Industrial Engineering and Management in Shenkar.

Methods Engineering

Koren, M., Koren, O., & Peretz, O. Weighted distance classification method based on data intelligence. Expert Systems, e13486.‏ https://doi.org/10.1111/exsy.13486

Koren, M. & Zerahia, R. (2023) Academic learning hours post-COVID-19 according to online teaching–learning in higher education. Discover Education, 2, 38. https://doi.org/10.1007/s44217-023-00065-8

Koren, M., Koren, O., & Peretz, O. (2023). A quantum “black box” for entropy calculation. Quantum Machine Intelligence, 5(2), 37.‏

Koren, M., Perlman, Y., & Shnaiderman, M. (2023). Inventory management for stockout-based substitutable products under centralised and competitive settings. International Journal of Production Research, 1-17.

Koren, M., & Shnaiderman, M. (2023). Forecasting in the fashion industry: a model for minimising supply-chain costs. International Journal of Fashion Design, Technology and Education, 1-11.‏

Koren, O., Koren, M., & Peretz, O. (2023). A procedure for anomaly detection and analysis. Engineering Applications of Artificial Intelligence, 117, 105503. Impact factor (2022): 7.802

Koren, M., Peretz, O., & Koren, O. (2023). Automated Threshold Learning for Feature Selection Optimization. Available at SSRN 4350765.‏

Koren, M., Perlman, Y., & Shnaiderman, M. (2022). Inventory Management Model for Stockout Based Substitutable Products. IFAC-PapersOnLine, 55(10), 613-618.

Koren, O., Hallin, C. A., Koren, M., & Issa, A. A. (2022). AutoML classifier clustering procedure. International Journal of Intelligent Systems, 37(7), 4214-4232.

Koren, O., Perel, N., Koren, M., 2019. The Impact of Merged Data in Big Data Platform: A Case Study. In International Joint conference on Industrial Engineering and Operations Management (pp. 194-204). July. Springer, Cham.‏

Harison, E., Koren, M. (2019). Identifying Future Demand in Fashion Goods: Towards Data Driven Trend Forecasting, Journal of Textile Science and Fashion Technology, 3(3), 1- 3.

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