45 citations · 48 across the 8 of their papers we have counts for
5 papers · 1 filter
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
Stefan Faulkner, Reza Zandehshahvar, Vahid Eghbal Akhlaghi +3
Accurate delivery delay prediction is critical for maintaining operational efficiency and customer satisfaction across modern supply chains. Yet the increasing complexity of logist…
CoCopula: Conformal Calibration and Copula Aggregation for Reliable Renewable Energy Forecasting
Alireza Moradi, Mathieu Tanneau, Reza Zandehshahvar +1
The rapid growth of renewable energy penetration has intensified the need for reliable probabilistic forecasts to support grid operations at aggregated (fleet or system) levels. In…
CSI-4CAST: A Hybrid Deep Learning Model for CSI Prediction with Comprehensive Robustness and Generalization Testing
Sikai Cheng, Reza Zandehshahvar, Haoruo Zhao +4
Channel state information (CSI) prediction is a promising strategy for ensuring reliable and efficient operation of massive multiple-input multiple-output (mMIMO) systems by provid…
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
Vahid Eghbal Akhlaghi, Reza Zandehshahvar, Pascal Van Hentenryck
This paper considers how to fuse Machine Learning (ML) and optimization to solve large-scale Supply Chain Planning (SCP) optimization problems. These problems can be formulated as…
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry
Thomas Bruys, Reza Zandehshahvar, Amira Hijazi +1
This study develops a deep learning-based approach to automate inbound load plan adjustments for a large transportation and logistics company. It addresses a critical challenge for…