Hojun Lee
Hi! I'm an enthusiastic robotics and AI researcher pursuing a Ph.D. at Purdue University in the Jun Laboratory. Specializing in robotic autonomy for smart manufacturing, my academic and professional journey is driven by a passion for practical applications of robotics in solving real problems, including efficient and safe robotic algorithms and industrial AI for smart manufacturing.
Bio
Hojun is a Ph.D. student in the School of Mechanical Engineering at Purdue University, where he is advised by Prof. Martin Jun. Before coming to Purdue, he earned his B.S. in Mechanical Engineering from Purdue University, West Lafayette and M.S. in Robotics from University of Michigan, Ann Arbor. Hojun is a recipient of Winkelman Fellowship and Italian Technology Award 2025.
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Sound Data Augmentation using Frequency Response Superposition for Machine Tool Component Running State Recognition
Yuseop Sim, Eunseob Kim, Jiho Lee, Hojun Lee, Dongjun Yun, Nobin Myeong, Yunjae Hwang, Hyungwook Park, Martin B.G. Jun
Journal of Manufacturing Science and Engineering - in preparation
IMPACT: Industrial Machine Perception via Acoustic Cognitive Transformer
Changheon Han, Yuseop Sim, Hoin Jung, Jiho Lee, Hojun Lee, Yunseok Kang, Sucheol Woo, Garam Kim, Hyungwook Park, Martin B.G. Jun
Conference on Neural Information Processing Systems (NeurIPS) - under review
EASEIR: Efficient and Adaptive Safe-set Estimation via Implicit Representation for High-dimensional Motion Planning
Hojun Lee, Yuseop Sim, Changheon Han, Jiho Lee, Aniket Bera, Changju Kim, Martin B.G. Jun
IEEE/RSJ Conference on Intelligent Robots and Systems (IROS) - under review
Manufacturable Physically Unclonable Identifiers via Cold Spray: A Full-Stack Framework with Implicit Neural Representation for Scalable Product Authentication
Hojun Lee, Changheon Han, Ted Gabor, Yuseop Sim, Semih Akin, Martin B.G. Jun, Jiho Lee
Advanced Engineering Informatics - under review
Graviton: Generalized Resampling Algorithm for Visual Inference in Target Object Localization
Hojun Lee, Yuseop Sim, Changheon Han, Martin B.G. Jun, Jiho Lee
Computers in Industry - under review
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I2DTM: Immersive and Interactive Digital Twin Metaverse Platform for Smart Manufacturing
Yuseop Sim, Hojun Lee, Changheon Han, Hangyeom Lee, Martin B.G. Jun, Jiho Lee
International Design Engineering Technical Conference and Computers and Information in Engineering Conference (IDETC/CIE) 2025 - accepted
Overcoming Sparse Run-to-Failure Data Challenges in Manufacturing: A Contrastive Mixer Framework for Remaining Useful Life Prediction
Eunseob Kim, Hojun Lee, Yuseop Sim, Jiho Lee, Martin B.G. Jun
CIRP Annals - Manufacturing Technology
★ Acceptance rate: 54.0% ★
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GMGP: Generalized Model for Grasp Planning of Vacuum and Parallel Jaw Grippers
Hojun Lee, YoungWoon Choi, Evin Lugo, Jiho Lee, Sangwon Lee, Martin B.G. Jun
International Manufacturing Science and Engineering Conference (MSEC) 2025 - accepted
Pulsed Cold Spray System for Physical Unclonable Function Generation
Changheon Han, Ted Gabor, Hojun Lee, Jiho Lee, Semih Akin, Martin B.G. Jun
Procedia CIRP - accepted
ChatCNC: Conversational Machine Monitoring via Large Language Model and Real-Time Data Retrieval Augmented Generation
Jurim Jeon, Yuseop Sim, Hojun Lee, Changheon Han, Dongjun Yun, Eunseob Kim, Shreya Laxmi Nagendra, Martin B.G. Jun, Yangjin Kim, Sang Won Lee, Jiho Lee
Journal of Manufacturing Systems
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GraspMixer: Hybrid of Contact Surface Sampling and Grasp Feature Mixing for Grasp Synthesis
Hojun Lee, Tyler Toner, Dawn Tilbury, Kira Barton
IEEE Transactions on Automation Science and Engineering
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Zero-shot autonomous robot manipulation via natural language
Changheon Han, Jiho Lee, Hojun Lee, Yuseop Sim, Jurim Jeon, Martin B.G. Jun
Manufacturing Letters
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A stethoscope-guided interpretable deep learning framework for powder flow diagnosis in cold spray additive manufacturing
Jiho Lee, Semih Akin, Yuseop Sim, Hojun Lee, Eunseob Kim, Jungsoo Nam, Kyeongeun Song, Martin B.G. Jun
Manufacturing Letters
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A Study on Digital Twin for Autonomous Robotic Chip Removal Deep Learning Framework on CNC Machine
Changheon Han, Hojun Lee, Jiho Lee, Martin B.G. Jun, Huitaek Yun
International Manufacturing Science and Engineering Conference (MSEC) 2024
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MS-DPT: Multi-Sensor aided Deep Pose Tracking
Hojun Lee, Tyler Toner, Dawn Tilbury, Kira Barton
Modeling Estimation and Control Conference (MECC) 2022
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Ph.D. in Mechanical Engineering
Purdue University
August 2023 - May 2027 (expected)
GPA: 3.66
Winkelman Fellowship
M.S. in Robotics
University of Michigan
September 2020 - May 2022
GPA: 3.92
Multidisciplinary Design Program (MDP) Summer Fellowship
B.S. in Mechanical Engineering
Purdue University
August 2014 - May 2020
GPA: 3.75
Barton Research Group
Research associate | September 2022 - May 2023Ann Arbor, MI