Tianyuan ZHANG

Operations Management-Supply Chain-Information Systems Download CV

Tianyuan ZHANG is an assistant professor of data science and business analytics at KEDGE Business School since 2023. He received his Ph.D. in Cartology & Geographic Information System from Peking University (CHINA) and his bachelor's degree in Information Engineering from Beihang University (CHINA). He teaches courses related to machine learning and industrial engineering at KEDGE BS and IMT Mines Albi. His primary research interest is data-driven knowledge-based artificial intelligence in applied research. Tianyuan also investigates related topics such as supply chain management, crisis/risk management, and logistics.

    Recent publications
    Publication Year of publication Type of publication
    ZHANG, T., M. LAURAS, G. ZACHAREWICZ, S. RABAH, F. BENABEN, "Coupling simulation and machine learning for predictive analytics in supply chain management", International Journal of Production Research, 2024, vol. 62, no. 23, pp. 8397–8414 2024 Journal article
    ZHANG, Y., J. HUI, Q. QIN, Y. SUN, T. ZHANG, H. SUN, M. LI, "Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data", Remote Sensing of Environment, December 2021, vol. 267, pp. 112724 2021 Journal article
    QIN, Q., Z. WU, T. ZHANG, V. SAGAN, Z. ZHANG, Y. ZHANG, C. ZHANG, H. REN, Y. SUN, W. XU, C. ZHAO, "Optical and Thermal Remote Sensing for Monitoring Agricultural Drought", Remote Sensing, December 2021, vol. 13, no. 24, pp. 5092 2021 Journal article
    LONG, Z., Q. QIN, T. ZHANG, W. XU, "Prediction of Continuous Time Series Leaf Area Index Based on Long Short-Term Memory Network: a Case Study of Winter Wheat", Spectroscopy and Spectral Analysis, 2020, vol. 40, no. 3, pp. 898-904 2020 Journal article
    SUN, Y., Q. QIN, H. REN, T. ZHANG, S. CHEN, "Red-Edge Band Vegetation Indices for Leaf Area Index Estimation From Sentinel-2/MSI Imagery", IEEE Transactions on Geoscience and Remote Sensing, 2019, vol. 58, no. 2, pp. 826-840 2019 Journal article
    Teaching domains

    Operations Management/Supply Chain

    • Supply Chain Management
    • Data Analytics

    Management of Information Systems

    • Machine Learning
    • Artificial Intelligence
    Research domains

    Supply Chain & Logistics

    Decision Support/Data Analysis

    Knowledge Management