Oral Presentations

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2024

• Byoungil Choi, Jihye Jung, Taehoon Lee, Joonyup Eun, and In-Chan Choi. A Quantum-inspired Genetic Algorithm to Enhance Search Ability. Fall Conference of Korean Operation Research and Management Science Society, Goyang, South Korea, Nov. 2024.

• Eunbi Kim (co-advising with Prof. T. Cheong), Joonyup Eun, and Taesu Cheong. Location of Drone Ambulance Stations to Improve Response Time of Cardiac Arrest Patients: Ambulance Dynamics in the Euclidean Plane. INFORMS Annual Meeting, Seattle, WA. USA, Oct. 2024.

• Junbeom Choi, Joohang Kang, and Joonyup Eun. Locating EMS Manned Aerial Vehicle Facilities to Improve Response Times for Cardiac Arrest Patients. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, July. 2024.

• Byoungil Choi, Jihye Jung, Taehoon Lee, Joonyup Eun, and In-Chan Choi. New Algorithm with Improved Search Ability Leveraging Quantum Computing Principles and Genetic Algorithm Framework. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, July. 2024.

• Eunbi Kim (co-advising with Prof. T. Cheong), Joonyup Eun, and Taesu Cheong. Drone Ambulance Stations to Rescue Cardiac Arrest Patients. Spring Conference of Korea Productivity Association, Seoul, South Korea, May. 2024.

• Byoungil Choi and Joonyup Eun. Sustainable and Effective Delivery Model Integrated with Heterogeneous EV-based Sidekicks and Battery Infrastructure Facilities. Spring Conference of Korea Productivity Association, Seoul, South Korea, May. 2024.

• Joohang Kang, Byoungil Choi, Chaehong Lim, and Joonyup Eun. A Supply Chain Optimization Model for Mature Products of Oligopoly Markets. Spring Joint Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers/Korean Society for Simulation, Yeosu, South Korea, May. 2024.

• Jinwoo Kim and Joonyup Eun. The Role of ESG and Sentiment of S-1 Filing in Predicting IPO Returns Amidst Pandemic. Spring Joint Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers/Korean Society for Simulation, Yeosu, South Korea, May. 2024.

• Junbeom Choi, Joohang Kang, and Joonyup Eun. A Manned Aerial Vehicle Facility Location Model for Reducing Response Time to Cardiac Arrest Patients. Spring Joint Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers/Korean Society for Simulation, Yeosu, South Korea, May. 2024.

• Jinwon Park and Joonyup Eun. Optimization of Cold Chain Last-mile Delivery : Quality Modeling Using Stepwise Value Concept. Spring Joint Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers/Korean Society for Simulation, Yeosu, South Korea, May. 2024.

2023

• Hoyoung Chung and Joonyup Eun. Truck-drone Parcel Delivery Considering Backhauls and En-Route Location. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2023.

• Jinwon Park and Joonyup Eun. Last Mile Delivery Optimization using Mathematical Product Quality Modeling. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2023.

• Eunbi Kim (co-advising with Prof. T. Cheong), Joonyup Eun, and Taesu Cheong. Enhancing the Emergency Rescue System: An Analysis of Incorporating Drone Ambulance. INFORMS Annual Meeting, Phoenix, AZ. USA, Oct. 2023.

• Joohang Kang, Byoungil Choi, and Joonyup Eun. Truck-Heterogeneous Sidekicks Cooperative Traveling Salesman Problem with Battery Swapping and Parcel Handover between Delivery Robot and Unmanned Aerial Vehicles. INFORMS Annual Meeting, Phoenix, AZ. USA, Oct. 2023.

• Dongsun Kim, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Corporate Environmental Controversy Prediction Model Verification and Application in Climate Change: Performance Improvement based on Stacking Method. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2023.

• Jaemin Lee, Jaehyuk Jang, Eunbi Kim(co-advising with Prof. T. Cheong), and Joonyup Eun. Machine-Learning-Based Decision Support for Venture Capital Investments in Early-Stage Healthcare Companies. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.

• Jinwoo Kim, and Joonyup Eun. Improving US IPO Underpricing Prediction with FinBERT and BERT-Based Topic Modeling. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.

• Joohang Kang, Byoungil Choi, and Joonyup Eun. Cooperative Traveling Salesman Problem with Heterogeneous Sidekicks: A Heuristic Approach. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.

• Jihye Jung, Byoungil Choi, Joonyup Eun, and In-Chan Choi. Computational Experiences in Embedding Quantum Operators in a Metaheuristic Algorithm. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.

• Byoungil Choi, Jihye Jung, Taehoon Lee, Joonyup Eun, and In-Chan Choi. Embedding Quantum Computing Principles in a Metaheuristic to Enhance the Search Ability. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.

• Eunbi Kim (co-advising with Prof. T. Cheong), Joonyup Eun, and Taesu Cheong. Improving the Emergency Rescue System using a Drone Ambulance: A Trajectory Analysis in the Euclidean Plane. Spring Conference of Korean Institute of Industrial Engineers/Korean Operations Research and Management Science Society, Jeju, South Korea, Jun. 2023.

• Dongwon Jang, Joonbeom Choi, and Joonyup Eun. Optimization of Cooperative Truck-Metro Delivery Services. Spring Conference of Korea Productivity Association, Seoul, South Korea, May 2023.

• Joonbeom Choi, Joohang Kang, and Joonyup Eun. Emergency Rescue System for Cardiac Arrest Patients using Manned Aerial Vehicles. Spring Conference of Korea Productivity Association, Seoul, South Korea, May 2023.

• Byoungil Choi, Jihye Jung, Taehoon Lee, Joonyup Eun, and In-Chan Choi. Incorporating the Principal Concepts of Quantum Computing into a Heuristic Framework: A Quantum-inspired Genetic Algorithm. Korea's Allied Economic Associations Annual Meeting, Seoul, South Korea, Feb. 2023.

2022

• Byoungil Choi, Taehoon Lee, Jihye Jung, Joonyup Eun, and In-Chan Choi. A Quantum-inspired Evolutionary Algorithm for Knapsack Problems. Fall Conference of Korean Institute of Industrial Engineers, Incheon, South Korea, Nov. 2022.

• Junbeom Choi, and Joonyup Eun. Emergency EVTOL Facility Location Problem to Improve Response Time for Cardiac Arrest Patients. Fall Conference of Korean Institute of Industrial Engineers, Incheon, South Korea, Nov. 2022.

• Hyohoon Yang, and Joonyup Eun. Optimization of Kano-QFD Integrated Model Using Weighted Criteria Goal Programming . Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2022.

• Jamin Lee, Jaehyuk Jang, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Machine Learning-Based Approach for Venture Capital Investments: Focus on Healthcare Startups. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2022.

• Eunbi Kim (co-advising with Prof. T. Cheong), Kap Su Han, Taesu Cheong, Sung Woo Lee, Joonyup Eun, and Su Jin Kim. Benefits and Costs of Machine Learning-Based Hospitalization Predictions for Emergency Department Patients. Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.

• Kangwook Kim, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Machine Learning-Based Aircraft Climb Speed Modeling to Improve Fuel Efficiency. Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.

• Joohang Kang, Byoungil Choi, and Joonyup Eun. Last-Mile Delivery with Heterogeneous Sidekicks: Modeling and Implications. Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.

• Byoungil Choi, Joohang Kang, Joonyup Eun, and Taesu Cheong. Last-Mile Delivery Station with Heterogeneous Vehicles: Modeling, Solution Approaches, and Implications.  Spring Conference of Korean Operations Research and Management Science Society/Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2022.

• Minyoung Lee, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun.  Machine Learning-Based ICU Readmission Prediction and its Operational Consequences: Study on the MIMIC-IV Database.  Spring Conference of Korea Productivity Association, Seoul, South Korea, May 2022.

2021

• Kangwook Kim, Eunbi Kim (co-advising with Prof. T. Cheong), and Joonyup Eun. Machine Learning-based Model for Aircraft Climb Speed to Minimize Fuel Consumption. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2021.

• Joo Young Chun, Hyung Joo Cha, Joonyup Eun, and In-Chan Choi. Quantum-Inspired Genetic Algorithm for 0-1 Knapsack Problems. Fall Conference of Korean Institute of Industrial Engineers, Seoul, South Korea, Nov. 2021.

• Hyung Joo Cha, DongKyun Kim, Joonyup Eun, and Taesu Cheong. Ground Vehicle And Unmanned Aerial Vehicle Cooperative Delivery With Mothership Charging. INFORMS Annual Meeting, Anaheim, CA, USA, Oct. 2021.

• Eunbi Kim (co-advising with Prof. T. Cheong), Kap Su Han, Taesu Cheong, Sung Woo Lee, Su Jin Kim, and Joonyup Eun. Analysis on Costs and Benefits of Machine Learning-based Early Hospitalization Prediction. INFORMS Annual Meeting , Anaheim, CA, USA, Oct. 2021.

• Hyung Joo Cha, Taesu Cheong, and Joonyup Eun. A Sequence-Dependent Traveling Salesman Problem in Outbound Logistics. IFORS 2021 Virtual, Seoul, South Korea, Aug. 2021.

• Eunbi Kim (co-advising with Prof. T. Cheong), Taesu Cheong, and Joonyup Eun. Prediction and Early Hospitalization to Reduce Emergency Department Length of Stay. IFORS 2021 Virtual, Seoul, South Korea, Aug. 2021.

• Joohang Kang, Nakyung Kim, Byungil Choi, Ahram Jeon, and Joonyup Eun. The Adjacent Distance Based  Assignment Heuristic for Cooperative Traveling Salesman Problems. Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2021.

• Byungil Choi, Joohang Kang, and Joonyup Eun. A Smart Logistics Station that Simultaneously Operates Heterogeneous Unmanned Delivery Vehicles.  Summer Conference of Korean Society for Innovation Management and Economics, Jeju, South Korea, Jul. 2021.

• Joohang Kang, Ahram Jeon, Byungil Choi, Nakyung Kim, Joonyup Eun, and Taesu Cheong. Drone-Truck Hybrid Delivery Model Considering Returns. Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2021.

• Hyung Joo Cha , Taesu Cheong, and Joonyup Eun.  Load-Reliant Traveling Salesman Problem for HAZMAT Delivery. Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2021.

• Byungil Choi, Joohang Kang, and Joonyup Eun. Drone and Delivery Robot Station Model for Last-Mile Delivery. Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, Jun. 2021.

2020

• Ahram Jeon, Joohang Kang, and Joonyup Eun. Path Optimization for Logistic Services Using Unmanned Aerial Vehicle. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2020.

• Chaehong Lim, and Joonyup Eun. Supply Chain Optimization Strategy for a Mature Product: a Case Study of Cationic Reagent, Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2020.

• Hyung Joo Lee, Yun Hwangbo, and Joonyup Eun. Angel Educational Program Design Using Kano-QFD. Fall Conference of Korea Productivity Association, Seoul, South Korea, Nov. 2020. 

• Ahram Jeon, Joohang Kang, and Joonyup Eun. Drone Last-Mile Delivery Considering Backhauls. The 22nd Korean Academic Society of Business Administration Convergence Conference, Incheon, South Korea, Aug. 2020.

2019

• Joonyup Eun, Vikram Tiwari, Mitchell H. Tsai, Max W. Breidenstein, and Warren S. Sandberg. Anesthesiologist Staffing for Non-Operating Room Procedural Services: A Stochastic Approach. Spring Conference of Korean Operations Research and Management Society, Gwangju, South Korea, Apr. 2019.

2018

• Joonyup Eun, Vikram Tiwari, Mitchell H. Tsai, Max W. Breidenstein, and Warren S. Sandberg. Integrated Routing and Scheduling of Anesthesiologists to Off-Locations. INFORMS Annual meeting, Phoenix, AZ, USA, Nov. 2018.

• Joonyup Eun, Vikram Tiwari, Max W. Breidenstein, Warren S. Sandberg, and Mitchell H. Tsai. Assignment of Anesthesiologists to Non-Operating Room Sites. POMS Annual Conference, Houston, TX, USA, May 2018.

2017

• Joonyup Eun, Vikram Tiwari, and Warren S. Sandberg. Is More Information Always Better in Predicting Daily Surgical Case Volume?. INFORMS Annual Meeting, Houston, TX, USA, Oct. 2017.

• Joonyup Eun, Vikram Tiwari, and Warren S. Sandberg. Evaluating Usefulness of Information Quality in Predicting Daily Surgical Volume. INFORMS Healthcare Conference, Rotterdam, Netherlands, July 2017.

• Joonyup Eun, Vikram Tiwari, and Warren S. Sandberg. A Method to Predict Day-of-Surgery Case Volume Months in Advance. POMS Annual Conference, Seattle, WA, USA, May 2017.

2016

• Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Elective Surgery Scheduling Considering Patient Health Condition. INFORMS Annual Meeting, Nashville, TN, USA, Nov. 2016.

• Joonyup Eun, and Eun-Seok Kim. Scheduling of Maximizing Total Job Value with Job Selection. European Conference on Operational Research, Poznan, Poland, Jul. 2016.

• Chul Hun Choi, Joonyup Eun, Seokcheon Lee, and Fu Zhao. By-project Metal (Indium) Refinery Facility Expansion Planning Using a MILP. IIE Annual Conference & Expo, Anaheim, CA, USA, May 2016.

2015

• Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Elective Surgery Scheduling for Multiple Operating Rooms Considering Patient Health Condition. INFORMS Annual Meeting, Philadelphia, PA, USA, Nov. 2015.

• Joonyup Eun, and Eun-Seok Kim. Scheduling of Maximizing Total Job Value with Machine Availability Constraint. INFORMS Annual Meeting, Philadelphia, PA, USA, Nov. 2015.

• Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Scheduling for Elective Surgery under Uncertainty Considering Patient Health Condition. INFORMS Healthcare Conference, Nashville, TN, USA, July 2015.

2014

• Joonyup Eun, Sang-Phil Kim, and Yuehwern Yih. Elective Surgery Scheduling to Improve Patient Safety. INFORMS Annual Meeting, San Francisco, CA, USA, Nov. 2014.

Poster Presentations

• Joonyup Eun, Vikram Tiwari, Max W. Breidenstein, Warren S. Sandberg, and Mitchell H. Tsai. Optimal Algorithm for Assignment of Anesthesiologists to Non-Operating Room Sites. International Anesthesia Research Society Annual Meeting, Washington, D.C., USA, May 2017.

Proceedings

• Joonyup Eun, Chang Sup Sung, and Eun-Seok Kim. Single Machine Scheduling to Maximize Total Job Value Subject to Machine Availability Constraint. In: Proceedings of the Korean Institute of Industrial Engineers Annual Conference, Seoul, South Korea, Nov. 2008.