Peer-reviewed Journal Publications (†: Corresponding Author, #: Equal Contribution)

  1. Hwang, Seong Wook, and Sunghoon Lim†. “The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM.” European Journal of Industrial Engineering 16, no. 1 (2022): 1.
  2. Kim, Gyeongho#, Jae Gyeong Choi#Minjoo Ku, Hyewon Cho, and Sunghoon Lim†. "A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process." IEEE Access 9 (2021): 132455-132467.
  3. Tuarob, Suppawong, Poom Wettayakorn, Ponpat Phetchai, Siripong Traivijitkhun, Sunghoon Lim, Thanapon Noraset, and Tipajin Thaipisutikul†. "DAViS: A Unified Solution for Data Collection, Analyzation, and Visualization in Real-time Stock Market Prediction." Financial Innovation 7 (2021): 56.
  4. Lim, Sunghoon†Sun Jun Kim, YoungJae Park, and Nahyun Kwon. "A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic." Expert Systems with Applications 184 (2021): 115532.
  5. Choi, Jae Gyeong, Chan Woo Kong, Gyeongho Kim, and Sunghoon Lim†. "Car crash detection using ensemble deep learning and multimodal data from dashboard cameras." Expert Systems with Applications 183 (2021): 115400.
  6. Tama, Bayu Adhi, and Sunghoon Lim†. "Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation." Computer Science Review 39 (2021): 100357.
  7. Nkenyereye, Lewis, Bayu Adhi Tama, and Sunghoon Lim†. "A Stacking-based Deep Neural Network Approach for Effective Network Anomaly Detection." Computers, Materials & Continua 66, no. 2 (2021): 2217-2227.
  8. Tama, Bayu Adhi, and Sunghoon Lim†. "A Comparative Performance Evaluation of Classification Algorithms for Clinical Decision Support Systems." Mathematics 8, no. 10 (2020): 1814.
  9. Chatterjee, Sujoy, and Sunghoon Lim†. "A Multi-objective Differential Evolutionary Method for Constrained Crowd Judgment Analysis.IEEE Access 8 (2020): 87647-87664.
  10. Lim, Sunghoon, and Conrad S. Tucker†. "Mining Twitter data for causal links between tweets and real-world outcomes." Expert Systems with Applications: X 3 (2019): 100007.
  11. Lim, Sunghoon, Conrad S. Tucker†, Kathryn Jablokow, and Bart Pursel. "A semantic network model for measuring engagement and performance in online learning platforms." Computer Applications in Engineering Education 26, no. 5 (2018): 1481-1492.
  12. Tuarob, Suppawong, Sunghoon Lim, and Conrad S. Tucker†. "Automated Discovery of Product Feature Inferences within Large Scale Implicit Social Media Data."  Journal of Computing and Information Science in Engineering 18, no. 2 (2018): 021017.
  13. Lim, Sunghoon, and Conrad S. Tucker†. "Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers." Journal of Mechanical Design 139, no. 11 (2017): 111409.
  14. Lim, Sunghoon, Conrad S. Tucker†, and Soundar Kumara. "An unsupervised machine learning model for discovering latent infectious diseases using social media data." Journal of Biomedical Informatics 66 (2017): 82-94.  (PubMed)
  15. Lim, Sunghoon, and Conrad S. Tucker†. "A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data." Journal of Mechanical Design 138, no. 6 (2016): 061403.


Peer-reviewed Journal Publications: Under Review (†: Corresponding Author, #: Equal Contribution)

  1. Kim, Gyeongho, and Sunghoon Lim†. "Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques." IEEE Access (Under Review)
  2. Tama, Bayu Adhi#, Malinda Vania#, Iljung Kim, and Sunghoon Lim†. "An EfficientNet-based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals." IEEE Access (Under Review)
  3. Chatterjee, Sujoy, and Sunghoon Lim†. "A TOPSIS-inspired ranking method using constrained crowd opinions for urban planning." Entropy (Under Review)
  4. Tama, Bayu Adhi, Seungchul Lee†, and Sunghoon Lim†. "Recent Advances in the Application of Deep Learning Techniques for Fault Detection Using Vibration Signals: A Systematic Review." Artificial Intelligence Review (Under Review)
  5. Kim, Kyudong, Heena No, Kijung Park, Hyun Woo Jeon, and Sunghoon Lim. "Characterization of Power Demand and Energy Consumption for Fused Filament Fabrication Using CFR-PEEK." Rapid Prototyping Journal (Under Review)


Peer-reviewed Conference Proceedings (†: Corresponding Author)

  1. Chatterjee, Sujoy, and Sunghoon Lim†. “A TOPSIS-based Multi-objective Model for Constrained Crowd Judgment Analysis”, In Eighth AAAI Human Computation and Crowdsourcing (HCOMP-2020), 2020. [Presentation/Poster]
  2. Lim, Sunghoon, Conrad S. Tucker, Kathryn Jablokow, and Bart Pursel. "Quantifying the Mismatch between Course Content and Students’ Dialogue in Online Learning Environments." In ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, American Society of Mechanical Engineers, 2017. [DEC Technical Committee Best Paper Award]


International Conference Presentations (*: Presenter, †: Corresponding Author)

  1. Hwang, Seong Wook*, and Sunghoon Lim†. "The Charging Infrastructure Design Problem with Electric Taxi Demand Prediction Using Convolutional LSTM." INFORMS Annual Meeting, Seattle, Washington, 2019.


Domestic Conference Presentations (*: Presenter, †: Corresponding Author)

  1. Kim, Gyeongho, Jae Gyeong Choi, Minjoo Ku, Hyewon Cho, and Sunghoon Lim*,†. “Developing a deep learning-based fault detection model for plastic injection molding for car parts companies.” KSQM Spring Conference, Seoul, Republic of Korea, 2021
  2. Kim, Sun Jun*, and Sunghoon Lim†. "A deep learning-based hybrid recommender system with fake review filtering for e-commerce customers.” KIIE Fall Conference, Seoul, Republic of Korea, 2020.
  3. Choi, Jae Gyeong*, Chan Woo Kong, and Sunghoon Lim†. "Developing machine-learning-based car crash detection systems
 using video and audio data.” KIIE Fall Conference, Seoul, Republic of Korea, 2019.
  4. Baek, DaeSeon, and Sunghoon Lim*†. "Smart farming: Developing growth programs and reforming environmental conditions for hog raising using machine vision and deep learning." KIIE/KORMS/KSS Joint Spring Conference, Gwangju, Republic of Korea, 2019.



  1. Lim, Sunghoon, Jae Gyeong Choi, Sun Jun Kim, Minjoo Ku. "SYSTEM AND METHOD FOR ESTIMATING THREE-DIMENSIONAL POSE USING VISIBILITY SCORE (가시성 지표를 활용한 3차원 포즈 추정 시스템 및 방법)." Pending, 2022.
  2. Kweon, Sang Jin, Yong Ung Kwon, and Sunghoon Lim. "근로자의 반복적인 근무 활동 동안 근육 부상을 예측하는 방법 및 장치." Pending, 2020.
  3. Kweon, Sang Jin, Yong Ung Kwon, and Sunghoon Lim. "반복 회전동작으로 인한 부상 방지 재활 방법 및 부상 방지 재활 장치." Pending, 2020.



  1. Lim, Sunghoon. "인공지능과 제조도시의 재도약, 피츠버그와 울산." UNIST Magazine 2021 Autumn, 2021.