I am an assistant professor at the Mokpo National Maritime University working in the areas of data science and maritime informatics. I am with the  navigation and information systems division. 

From 2000 through 2004, I majored navigation science at the Mokpo National Maritime University. After completing the navigation officer work on the multiple LNG carriers from 2004 through 2009, I had joined a doctoral program at the College of IS&T at the University of Nebraska, Omaha in 2013. Since 2018, I am working at the Mokpo National Maritime University where I am the founder-director of the Maritime Informatics Lab. The Maritime Informatics Lab is leading multiple, governmentally-funded research projects and published multiple research papers in leading conferences and journals in the area of data science, sensors, artificial intelligence, and maritime data analysis. 

My research is focused on the followings areas: 

• Maritime Informatics Research

• Navigator's human element for safe navigation

• Maritime Autonomous Surface Ship (MASS) development

• Objective navigation proficiency evaluation 

      [Resume]

Dr. Ik-Hyun Youn

91 Haeyangdaehak-ro, Mokpo-si, Jeollanam-do, S.Korea, 58628

iyoun-at-mmu-dot-ac-dot-kr

EDUCATION

Ph.D. in Information Technology (2017),  University of Nebraska at Omaha, USA

•  Wearable sensor-based human movement analysis

•  Artificial intelligent for maritime applications

MS in Computer Science (2016), University of Nebraska at Omaha, USA

• Communication technology

• Wearable sensor-based applications

ME in Navigation Science (2011), Korea Maritime University, Busan, Republic of Korea

• Maritime Safety Technology

BE in Navigation Science (2004), Mokpo National Maritime University, Mokpo, Republic of Korea

RESEARCH PROJECTS

Development of Smart Port-Autonomous Ships Linkage Technology (2021-2025),  Ministry of Oceans and Fisheries, Republic of Korea

• Shore Remote Control Technology of MASS

• Maritime Vessel Traffic Analysis for Collision Avoidance Algorithms of MASS

Development of Autonomous Ship Technology (2021-2025),  Ministry of Oceans and Fisheries, Republic of Korea

• Reliability Analysis Model Development for Collision Avoidance Algorithms of MASS

Development of Remote Survey Technology of Maritime Vessels (2022), Ministry of Oceans and Fisheries, Republic of Korea

• Development of Remote Survey Technology 

PUBLICATION

• Hwang T. M. & Youn I., (2024) "Collision Risk Situation Awareness Evaluation Model Based on Bridge Operator Behavior Using Wearable Sensors," in IEEE Access, 12, 145428-145438

• Hwang, H. S., Hwang, T. M., & Youn, I. (2024). Efficacy evaluation of adaptive collision avoidance systems for autonomous maritime surface ships based on target ships’ maneuvering behaviors. Journal of International Maritime Safety, Environment Affairs and Shipping, 8(1-2) 

• Hwang, T. M., & Youn, I. (2023). The Development of a Steering Angle Estimation Model for Evaluation of Simulated Ship Handling Training for Remote Operators of Autonomous Ships. Applied Sciences, 13(21), 11774. 

• Hwang, T., & Youn, I. (2023). Development of a Graph-Based Collision Risk Situation Model for Validation of Autonomous Ships’ Collision Avoidance Systems. Journal of Marine Science and Engineering, 11(11), 2037. 

• Hwang, T., Hwang, H., & Youn, I. (2023). Development of a Real-time Ship Operational Efficiency Analysis Model. Journal of the Korean Society of Marine Environment and Safety. The Korean Society of Marine Environment and Safety. 

• Tyasayumranani, W., Hwang, T., Hwang, T., & Youn, I. (2022). Anomaly detection model of small-scaled ship for maritime autonomous surface ships’ operation. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 6(4), 224–235. 

• Hwang, T., & Youn, I. (2022). Collision Risk Situation Clustering to Design Collision Avoidance Algorithms for Maritime Autonomous Surface Ships. Journal of Marine Science and Engineering, 10(10), 1381. 

• Hwang, H., Hwang, T., & Youn, I. (2022). Effect of Onboard Training for Improvement of Navigation Skill under the Simulated Navigation Environment for Maritime Autonomous Surface Ship Operation Training. Applied Sciences, 12(18), 9300. 

• Hwang, T., & Youn, I. (2022). Difficulty Evaluation of Navigation Scenarios for the Development of Ship Remote Operators Training Simulator. Sustainability, 14(18), 11517. 

• Hwang, T., & Youn, I. (2022). Navigation Scenario Permutation Model for Training of Maritime Autonomous Surface Ship Remote Operators. Applied Sciences, 12(3), 1651. 

• Hwang, T., Youn, I., Lee, S., & Kim, I. (2022). Efficiency Comparison between Audible and Buzzle Alarms of Electronic Chart Display and Information System Alarm under the Simulated Environment. Journal of Marine Science and Engineering, 10(2), 154. 

• Hwang, T. and Youn, I. (2022). Latent-cause extraction model in maritime collision accidents using text analytics on Korean maritime accident verdicts. Applied Sciences, 12(2), 914. 

• Hwang, T. and Youn, I. (2022). Navigation scenario permutation model for training of maritime autonomous surface ship remote operators. Applied Sciences, 12(3), 1651. 

• Hwang, T., Youn, I., Lee, S., & Kim, I. (2022). Efficiency comparison between audible and buzzle alarms of electronic chart display and information system alarm under the simulated environment. Journal of Marine Science and Engineering, 10(2), 154.

• Hwang, T. and Youn, I. (2021). Navigation situation clustering model of human-operated ships for maritime autonomous surface ship collision avoidance tests. Journal of Marine Science and Engineering, 9(12), 1458. 

• Kim, I., Lee, S., Youn, I. (2021) Adopting the audible alert system for the electronic chart display and information system for improvement of early navigational situation awareness. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 4(4), 177-186

• Youn, I. and Lee, J. (2020) Seafarers' Physical Activity and Sleep Patterns: Results from Asia-Pacific Sea Routes. International Journal of Environmental Research and Public Health, 17(19), 7266.

• Youn, I., Leutzinger T.,  Youn, J., Zeni, J., & Knarr, B. (2020) Self-Reported and Performance-based Outcome Measures Estimation Using Wearables after Unilateral Total Knee Arthroplasty. Frontiers in Sports and Active Living, 2(1), 108.

• Yim, J. B., Park, D. J., & Youn, I. (2019). Development of Navigator Behavior Models for the Evaluation of Collision Avoidance Behavior in the Collision-Prone Navigation Environment. Applied Sciences, 9(15), 3114.

• Youn, I., & Kim, S. C. (2019). Preventive Maintenance Topic Models for LNG Containment Systems of LNG Marine Carriers Using Dock Specifications. Applied Sciences, 9(6), 1202.

• Youn, I., Park, D. J., & Yim, J. B. (2019). Analysis of Lookout Activity in a Simulated Environment to Investigate Maritime Accidents Caused by Human Error. Applied Sciences, 9(1), 4.

• Youn, I., Youn, J., Zeni, J. A., & Knarr, B.A. (2018). Biomechanical Gait Variable Estimation Using Wearable Sensors after Unilateral Total Knee Arthroplasty. Sensors, 18(5), 1577.

• Youn, I., Choi, J., & Youn, J. (2017). Seafarer’s Walking on Unstable Platform: Comparisons of Time and Frequency Domain Analyses for Gait Event Detection. Journal of Information and Communication Convergence Engineering.

• Youn, I., Patolla, A. and Ali, H. H. (2017). Robust Network Models for Human Mobility: Validation from a Maritime Setting. Sensors and Transducers.

• Youn, I., Youn, J., Lee, J., & Song, T. (2017). Mariner's Physical Activity Classification at Sea using a Wrist-worn Wearable Sensor. Biomedical Research, 28(21), S689-S693.

• Youn, I. and Youn, J. (2017). Navigator Lookout Activity Classification Using Wearable Accelerometers. Journal of Information and Communication Convergence Engineering, 15(3), 182-186.

• Youn, I., Youn, J., Lee, J., & Kim, C. (2017). Anomaly Event Detection for sit-to-stand Transition Recognition to Improve Mariner Physical Activity Classification during a Sea Voyage. Biomedical Research, 28(15), S588-S591.

• Lee, W., Youn, I., Song, T., Kim, N., & Youn, J., (2016). Prime Block Design for Asynchronous Wake-Up Schedules in Wireless Sensor Networks, IEEE Communications Letters, 20(7), 1437-1440.

• Youn, I., Won, K., Youn, J., & Scheffler, J. (2016). Wearable Sensor-Based Biometric Gait Classification Algorithm Using WEKA. J. Information and Communication Convergence Engineering, 14(1), 45-50.

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