Area of research
Industrial and Manufacturing Engineering · Computer Networks and Communications
Research interest
Research interests include Advanced Manufacturing and Logistics Optimization, Scheduling and Optimization Algorithms, Vehicle Routing Optimization Methods, and Optimization and Packing Problems.
Taming polarized fitting: BLINEX-Pcomp with asymmetric risk penalty for robust Pcomp classification.
Data Analytics and Management in Data Intensive Domains
Convex and Variational Analysis with Applications
Social Network Influence Propagation, Stability, and Systems of Nonlinear Equations
Dynamic Maximum Capacity Path Interdiction Problem with Asymmetric Information under Double-sum Distance
Dynamics of Information Systems
Utilizing Large Language Models for Finding All Roots to Nonlinear Systems of Equations: Solutions, Accuracy, and Prompt Design
Machine Learning, Optimization, and Data Science
A Computational Study of the Tool Replacement Problem
Mathematical Research for Blockchain Economy
Complementary label learning with multi-view data and a semi-supervised labeling mechanism
Machine Learning, Optimization, and Data Science
Optimization, Discrete Mathematics and Applications to Data Sciences
A New Approximation Algorithm for Minimum-Weight (1,m)–Connected Dominating Set
Machine Learning, Optimization, and Data Science
Dynamics of Information Systems
Machine Learning, Optimization, and Data Science
Mathematical Optimization Theory and Operations Research
A simplicial homology approach for assessing and rectifying coverage of sensor networks for improved crop management
Scheduling identical serial-batching machines in the engine manufacturing supply chain by an integrated variable neighborhood search algorithm
An accelerated benders decomposition algorithm for the solution of the multi-trip time-dependent vehicle routing problem with time windows
Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis
Machine Learning, Optimization, and Data Science
Collaborative Planning in a Two-Stage Supply Chain: Transparent Coordination, Distributed Response, Integrated Optimization
Instance-wise multi-view visual fusion for zero-shot learning
A branch-and-price approach for the nurse rostering problem with multiple units
Distributionally robust joint chance-constrained programming: Wasserstein metric and second-order moment constraints
Dynamics of Information Systems
Mathematical Optimization Theory and Operations Research: Recent Trends
An Introduction to the Applications of Operations Research and Data Science in Disrupting Illicit Markets