HYEONG SUK NA

RECENT NEWS

• 04/2026: Michael's proposal for the Quantum Innovation Center Summer Internship Program has been selected for funding.🎉 Congratulations to Michael on this exciting achievement!👍 I look forward to working with Michael this summer on his project, "Toward Hybrid Quantum-Classical Optimization for Stochastic Hydrothermal Unit Commitment."

• 04/2026: Our paper "A mixed integer quadratically constrained programming model for optimal deployment of capacitated fast-charging stations for electric vehicles: A Bayesian optimization approach" has been accepted by Optimization and Engineering. 🌐

• 03/2026: Our paper "Multi-period large-scale electric vehicle charging station deployment under latent charging demand: A Bayesian optimization-based large neighborhood search approach" has been accepted by Expert Systems with Applications. 🌐

• 02/2026: Our paper "An integrated framework for solving the green supplier selection and order allocation problem in steam procurement" has been accepted by Expert Systems with Applications. 🌐

• 02/2026: Our paper "A parcel consolidation policy for vehicle routing plans in last-mile delivery: A deep Q-learning approach" has been accepted by European Journal of Industrial Engineering. 🌐

• 01/2026: George DeSpain has joined our research group as an undergraduate researcher. Welcome!

• 01/2026: Dr. Na has been appointed as a core faculty member of the MU Institute for Data Science and Informatics (MUIDSI), which is an interdisciplinary research and graduate education program offering a PhD in Informatics and an MS in Data Science & Analytics.

• 12/2025: Dr. Na has received funding from Amazon Web Services (AWS) for a research grant focusing on Decision-Support Models for Resilient Food Supply Chains under Uncertain Disruptions.

• 11/2025: Riley Powell has joined our research group as an undergraduate researcher. Welcome!

• 10/2025: Michael presented his research, "Optimal hurricane evacuation routing with private and public vehicles: A joint chance-constrained stochastic programming model," at the 2025 INFORMS Annual Meeting in Atlanta, GA. Great job, Michael!👍

• 10/2025: Shivam presented his research projects, (1) "Keypoint-aware human body part segmentation via a dual-discriminator generative adversarial network" and (2) "Post-disaster damage assessment from high-resolution satellite imagery using D-LinkNet hierarchical transformer with radon-transformed fixed positional encoding," at the 2025 INFORMS Annual Meeting in Atlanta, GA. Great job, Shivam!👍

• 09/2025: Dr. Na has received funding from the Jungseok Logistics Foundation (JLF) for a research grant focusing on Integrated Deep Reinforcement Learning and Large-Scale Optimization for Enhancing Last-Mile Logistics with Future Mobility Technologies.

• 08/2025: Our paper "A strategic plan to provide management services for urban green spaces during heat waves using a collaborative truck-and-robot system" has been accepted by Expert Systems with Applications. 🌐

• 07/2025: Our paper "Optimal routing strategies for last-mile delivery with a fleet of a truck and heterogeneous robots" has been accepted by Transportation Research Record: Journal of the Transportation Research Board. 🌐

• 07/2025: Michael's research presentation, "Optimal hurricane evacuation routing with private and public vehicles: A joint chance-constrained stochastic programming model," has been accepted by the 2025 INFORMS Annual Meeting. Congratulations!👍

• 06/2025: Congratulations to RJ for winning 1st place in the IISE DAIS (Data Analytics and Information Systems) Mobile/Web App Competition! Well deserved! Proud of your hard work and achievement! 🎉

• 05/2025: Our paper "Clustering Electricity Consumption Patterns using Functional Data Analysis" has been accepted by Sustainable Energy, Grids and Networks. 🌐