Ji Hun Kim | Manufacturing Applications | Best Researcher Award

Mr . Ji Hun Kim | Manufacturing Applications | Best Researcher Award

Ph.D.Candidate at Seoul National University of Science and Technology, South Korea

Ji Hun Kim is a dynamic and highly accomplished Ph.D. candidate at Seoul National University of Science and Technology (SeoulTech), South Korea, specializing in laser-based manufacturing and optical engineering. With a robust academic background and hands-on industry experience, he has made significant contributions to the fields of precision engineering, laser processing, and optical aberration analysis. His research has been widely published in reputable journals, focusing on advanced materials processing, laser-matter interaction, and heat transfer effects in optical systems. Ji Hun has led and participated in multiple government-funded research projects, demonstrating both leadership and collaborative capabilities. Recognized by prestigious engineering societies with several academic excellence awards, he has emerged as a promising young researcher in advanced manufacturing technologies. Ji Hun’s work is grounded in practical relevance and innovation, making him a strong candidate for academic honors and research-based awards in engineering and applied science.

Professional Profile 

Education🎓

Ji Hun Kim has built a strong academic foundation at Seoul National University of Science and Technology, where he completed his entire higher education journey. He earned his Bachelor of Science (B.S.) degree in 2017, majoring in a field aligned with manufacturing or mechanical engineering. He then pursued and completed a Master of Science (M.S.) degree from the same university in 2019, where he began exploring research topics in laser processing and material behavior. Currently, Ji Hun is a Ph.D. candidate at SeoulTech, working on cutting-edge research involving laser-based micromachining, thermal optics, and smart materials. His academic training has included not just theoretical knowledge but also significant laboratory experience and computational modeling. His progression through successive degrees at a single, research-intensive institution has allowed him to develop in-depth expertise, continuity in his research focus, and strong academic mentorship—making his education both comprehensive and highly specialized in advanced manufacturing technologies.

Professional Experience📝

Alongside his academic pursuits, Ji Hun Kim has accumulated valuable professional experience in South Korea’s defense and industrial sectors. He worked as a Junior Research Engineer at MTG Inc. (2020–2022), where he contributed to the design and development of anechoic chambers used in defense applications, showcasing his understanding of electromagnetic and acoustic insulation technologies. Prior to that, from 2019 to 2020, he served as a Research Associate at Sensor Tech Inc., focusing on chemical detection devices—an experience that merged sensor technology with system integration. These roles have enriched his engineering insight, sharpened his problem-solving skills, and enabled him to apply research knowledge in real-world scenarios. In both positions, Ji Hun was involved in multidisciplinary projects, requiring him to collaborate with teams and translate technical concepts into functional systems. His industrial experience complements his academic research, offering a balanced profile of theoretical depth and applied engineering expertise.

Research Interest🔎

Ji Hun Kim’s research interests lie at the intersection of laser material processing, optical aberrations, and thermal-fluid dynamics in precision manufacturing environments. His work focuses on understanding how laser-induced heat affects the structural and optical properties of advanced materials, particularly carbon fiber reinforced plastics and aluminum alloys. He is passionate about developing high-power, ultrashort pulse laser systems for micromachining, with applications in next-generation display technologies and semiconductor equipment. Ji Hun also investigates the effects of buoyant jet dynamics on optical distortions in laser systems, contributing to better laser beam delivery and processing accuracy. He is keenly interested in the optimization of laser surface treatment processes to improve bonding strength between dissimilar materials, particularly for eco-friendly automotive and aerospace applications. His research is deeply applied, often tied to real-world engineering challenges, and strives to advance both scientific understanding and industrial utility in high-precision laser technologies.

Award and Honor🏆

Ji Hun Kim has received numerous awards that highlight his academic excellence and applied research achievements. In 2025, he was honored with the Best Award for Academic Excellence by the Korean Society of Manufacturing Process Engineers (KSMPE), a distinction he also earned in 2023. His consistent excellence was previously recognized in 2019 by the Korean Society of Manufacturing Technology Engineers (KSMTE). In addition to academic recognition, Ji Hun received the Encouragement Award in 2024 for his outstanding contributions to an industry-university collaborative project at Seoul National University of Science and Technology. His technical credibility was further validated with the Engineer General Machinery Certificate issued by the Ministry of Trade, Industry, and Energy in 2019. These honors reflect his strong standing in Korea’s manufacturing research community and underscore his ability to conduct impactful, innovative, and collaborative research that aligns with national industrial and scientific goals.

Research Skill🔬

Ji Hun Kim possesses a well-rounded and technically robust skill set crucial for advanced manufacturing research. He is proficient in COMSOL Multiphysics, which he uses to simulate thermal and fluid behavior in laser-material interaction scenarios, as well as MATLAB for data analysis, modeling, and algorithm development. His expertise in LabVIEW allows for experimental system automation and real-time data acquisition in laser experiments. Ji Hun has hands-on skills in laser micromachining, laser spectroscopy (LIPS), and surface treatment processes. He is adept at analyzing heat-affected zones, bonding strength, and surface morphology in composite and metallic materials. His ability to integrate experimental setups with computational simulations provides comprehensive insight into process optimization. Furthermore, his experience leading and collaborating on national R&D projects has honed his project planning, data interpretation, and cross-functional teamwork capabilities. Altogether, Ji Hun’s research skills position him as a capable and forward-thinking researcher in high-precision, laser-based manufacturing technologies.

Conclusion💡

Ji Hun Kim is an exceptionally promising early-career researcher whose deep specialization in laser processing and optics, combined with an impressive array of high-quality publications, leadership in national research projects, and recognized academic excellence, make him highly suitable for the Best Researcher Award. With some expansion into international collaborations, interdisciplinary domains, and innovation commercialization, he can become a leading figure in advanced manufacturing research.

Publications Top Noted✍

  • Title: High-Performance Solution Processable Red TADF-OLED with External Quantum Efficiency Exceeding 28% Using a Multi-Resonance Emitter Host
    Authors: (Not fully visible in your message; please provide full names if needed)Journal: Advanced Materials
    Year: 2025
    Citations: 2
  • Title: Enhancing Bond Strength Between Carbon Fiber Reinforced Thermoplastic and Aluminum Alloys Through Laser Surface Treatment
    Authors: (Not fully visible in your message; please provide full names if needed)Journal: International Journal of Precision Engineering and Manufacturing – Green Technology
    Year: 2025

Prof. Xiaoyan Sun | Manufacturing Applications | Best Researcher Award

Prof. Xiaoyan Sun | Manufacturing Applications | Best Researcher Award

Professor at Jiangnan University, China

👨‍🎓 Profiles

Orcid

Publications

Multisource and Hidden Source-Based Knowledge Transfer for Solving Dynamic Multiobjective Optimization Problems

  • Author: Wei Song, Zhi Liu, Jian Yu, Xiaoyan Sun, Yaochu Jin, Khin Wee Lai
  • Journal: IEEE Transactions on Evolutionary Computation
  • Year: 2025

Predefined-Time Consensus of Multiagent System: Nonchattering Scheme

  • Author: Jie Wu, Jie Chen, Yongzheng Sun, Xiaoyan Sun, Xiaoli Luan, Junjie Fu, Guanghui Wen
  • Journal: IEEE Transactions on Cybernetics
  • Year: 2025

Rescheduling Costs and Adaptive Asymmetric Errors Guided Closed-Loop Prediction of Power Loads in Mine Integrated Energy Systems

  • Author: Qi Miao, Xiaoyan Sun, Chen Ma, Yong Zhang, Dunwei Gong
  • Journal: Energy and AI
  • Year: 2025

A Multitask Multiobjective Operation Optimization Method for Coal Mine Integrated Energy System

  • Author: Jun Ma, Yong Zhang, Yan Wang, Dunwei Gong, Xiaoyan Sun, Bo Zeng
  • Journal: IEEE Transactions on Industrial Informatics
  • Year: 2024

An Interval Multi-Objective Evolutionary Generation Algorithm for Product Design Change Plans in Uncertain Environments

  • Author: Rui-zhao Zheng, Yong Zhang, Xiao-yan Sun, Dun-wei Gong, Xiao-zhi Gao
  • Journal: IEEE Transactions on Evolutionary Computation
  • Year: 2024

Assoc Prof Dr. Zhifen Zhang | Intelligent Manufacturing | Best Researcher Award

Assoc Prof Dr. Zhifen Zhang, Intelligent Manufacturing, Best Researcher Award

Zhifen Zhang at Xi’an Jiao Tong University, China

Professional Profile

Summary:

Assoc. Prof. Dr. Zhifen Zhang is a leading figure in intelligent manufacturing, specializing in the integration of advanced monitoring technologies for metal processing. Currently a tenure-track associate professor at Xi’an Jiao Tong University, her research spans laser welding, laser shock peening, and additive manufacturing. With over 15 major projects and funding of up to 7 million RMB, Dr. Zhang has made significant strides in multisensory data fusion and explainable deep learning applications. Her innovative approach addresses online detection of porosity defects, crucial for the aerospace industry, and ensures quality and stability in manufacturing processes. Dr. Zhang’s contributions have solidified her reputation as a pioneer in her field.

👩‍🎓Education:

  • Ph.D. in Mechanical Engineering
    • Xi’an Jiao Tong University, China
  • Postdoctoral Research in Mechanical Engineering
    • Xi’an Jiao Tong University, China (2015.10 – 2018.10)

🧬 Professional Experience:

  • Associate Professor (Tenure)
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2022.09 – Present
  • Associate Professor
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2019.11 – 2022.09
  • Lecturer
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2015.10 – 2019.11
  • Postdoctoral Researcher
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2015.10 – 2018.10

 

Research Interests:

Assoc. Prof. Dr. Zhifen Zhang’s research interests lie at the intersection of advanced monitoring technologies and intelligent manufacturing processes. With a focus on metal processing, her work spans laser welding, laser shock peening, machining, and additive manufacturing. Dr. Zhang specializes in the integration of acoustic, optical, and thermal infrared sensing techniques to develop innovative monitoring systems. She is particularly interested in the fusion of heterogeneous information sources and the application of explainable deep learning methods in manufacturing. Her research addresses critical challenges in defect detection, residual stress characterization, and stability evaluation, with implications for aerospace components and the broader manufacturing industry. Dr. Zhang’s interdisciplinary approach and commitment to innovation contribute to advancements in quality control and process optimization, ensuring the reliability and efficiency of manufacturing operations.

 

Publications Top Noted:

Paper Title: An adaptive cepstrum feature representation method with variable frame length and variable filter banks for acoustic emission signals
  • Authors: Qin, R., Huang, J., Zhang, Z., He, W., Chen, X.
  • Journal: Mechanical Systems and Signal Processing
  • Volume: 208
  • Pages: 111031
  • Year: 2024
  • Citations: 2
Paper Title: A novel physically interpretable end-to-end network for stress monitoring in laser shock peening
  • Authors: Qin, R., Zhang, Z., Huang, J., Wen, G., He, W.
  • Journal: Computers in Industry
  • Volume: 155
  • Pages: 104060
  • Year: 2024
  • Citations: 1
Paper Title: Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network
  • Authors: Huang, J., Zhang, Z., Qin, R., Cheng, W., Chen, X.
  • Journal: Journal of Manufacturing Systems
  • Volume: 72
  • Pages: 93–103
  • Year: 2024
  • Citations: 1
Paper Title: Disturbance-Compensation-Based Predictive Sliding Mode Control for Aero-Engine Networked Systems With Multiple Uncertainties
  • Authors: Song, P., Yang, Q., Li, D., Zhang, Z., Peng, J.
  • Journal: IEEE Transactions on Automation Science and Engineering
  • Year: 2024
  • Citations: 1
Paper Title: On-line defect recognition of MIG lap welding for stainless steel sheet based on weld image and CMT voltage: Feature fusion and attention weights visualization
  • Authors: Wang, J., Zhang, Z., Bai, Z., Huang, J., Wen, G.
  • Journal: Journal of Manufacturing Processes
  • Volume: 108
  • Pages: 430–444
  • Year: 2023
  • Citations: 1