activity
20232026
most citedData-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2026

Optimal Spectral Design with Prior Information

Anton J. Kleywegt, Johannes Milz, Mohit Singh +1

We study a class of spectral design problems in which a prior positive semidefinite information matrix is updated by a sum of rank-one matrices constructed from chosen design vecto…

math.OC2025★ 2 cited

Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach

Heraldo Rozas, Weijun Xie, Nagi Gebraeel +1

This paper investigates the joint optimization of condition-based maintenance and spare provisioning, incorporating insights obtained from sensor data. Prognostic models estimate c…

cs.LG2024

FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel +1

We study a federated classification problem over a network of multiple clients and a central server, in which each client's local data remains private and is subject to uncertainty…

math.OC2024★ 1 cited

Regularized MIP Model for Integrating Energy Storage Systems and its Application for Solving a Trilevel Interdiction Problem

Dahye Han, Nan Jiang, Santanu S. Dey +1

Incorporating energy storage systems (ESS) into power systems has been studied in many recent works, where binary variables are often introduced to model the complementary nature o…

math.OC2023★ 1 cited

On Sparse Canonical Correlation Analysis

Yongchun Li, Santanu S. Dey, Weijun Xie

The classical Canonical Correlation Analysis (CCA) identifies the correlations between two sets of multivariate variables based on their covariance, which has been widely applied i…