Prof. Hyunbum Kim | Modern Structures Awards | Best Researcher Award

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Prof. Hyunbum Kim | Modern Structures Awards | Best Researcher Award

Prof. Hyunbum Kim, Incheon National University, South Korea

Dr. Hyunbum Kim is an accomplished Associate Professor in the Department of Embedded Systems Engineering at Incheon National University, South Korea, where he has been a faculty member since August 2020. He founded the Intelligent Computing & Next Generation System Lab, focusing on cutting-edge research in embedded systems and intelligent computing. Dr. Kim previously served as an Assistant Professor and later as an Associate Professor at the University of North Carolina at Wilmington, where he co-founded the SECRETS Lab dedicated to security research.

Professional Profile:

ORCID

Suitability for the Best Researcher Award: Hyunbum Kim

Dr. Hyunbum Kim demonstrates exceptional qualifications for the Best Researcher Award due to his remarkable achievements, contributions to the field of computer science, and leadership in academic and professional organizations. Below is a summary of his credentials aligned with the award’s typical evaluation criteria.

Education 🎓

  • Ph.D. in Computer Science
    The University of Texas at Dallas, Richardson, TX, USA
    Advisor: Professor Jorge A. Cobb
    Conferred: August 2013
  • M.S. in Computer Science & Engineering
    Hanyang University, Seoul, South Korea
    Advisor: Professor Heekuck Oh
    Conferred: August 2005
  • B.S. in Computer Science
    Pyeongtaek University, Pyeongtaek, South Korea
    Conferred: February 2003

Work Experience 💼

  • Associate Professor
    Department of Embedded Systems Engineering, Incheon National University, South Korea
    Founder of Intelligent Computing & Next Generation System Lab
    Aug. 2020 – Present
  • Assistant Professor and Associate Professor (Tenured)
    Department of Computer Science, University of North Carolina at Wilmington, NC, USA
    Co-Founder and Co-Director of SECRETS Lab
    Aug. 2014 – Aug. 2020
  • Visiting Professor
    Department of Computer Science and Engineering, Bethune-Cookman University, FL, USA
    Aug. 2013 – Jul. 2014
  • Research Assistant
    Department of Computer Science, The University of Texas at Dallas, TX, USA
    Aug. 2012 – Jul. 2013
  • Teaching Assistant
    Department of Computer Science, The University of Texas at Dallas, TX, USA
    Aug. 2007 – Jul. 2012
  • Teaching Assistant
    Institute of Information & Communication, Hanyang University, Seoul, South Korea
    Mar. 2004 – Feb. 2005

Achievements, Awards, and Honors 🏆

Professional Roles 🌟

  • Vice-Chair, IEEE ComSoc Asia/Pacific Region Board – MDC (2022-2023)
  • Senate Member, Incheon National University (2022-2024)
  • Research Committee Secretary, Senate of Incheon National University (2023-2024)

Editorial Roles ✍️

  • Editor: IEEE Internet of Things Journal (2024 – Present)
  • Associate Editor:
    • Elsevier ICT Express (2021 – Present)
    • Springer Human-centric Computing and Information Sciences (2017 – Present)
    • IEEE Open Journal of Intelligent Transportation Systems (2019 – Present)
    • Journal of Information Processing Systems (2023 – Present)
    • Journal of Korean Association of Computer Education (2024 – Present)

Conference Leadership 🎤

  • General Chair: IEEE ISCC Workshop PEDISWESA 2018
  • Co-Chair: Multiple IEEE Symposiums, including GLOBECOM (2020, 2021), IWCMC (2024, 2025), and ICNC (2023)

Awards & Recognitions 🥇

  • Selection Committee Member, IEEE ComSoc Young Research Award for EMEA (2020–2023)
  • Guest Editor for top journals, including IEEE Open Journal of Communications Society (2022) and MDPI Sensors (2021)

Publication Top Notes:

Obstacle-Aware Crowd Surveillance with Mobile Robots in Transportation Stations

Augmented Fluid Surveillance Using Grid Sensing for Intelligent Transportation Service

Blockchain-Enabled Maximum Evacuation System Using Hybrid Voting in Zero Trust Hiking Trail and Mountainous Terrain

Fold on Fold Surveillance and Detection Against Non-Biased Penetrations in Layered Complex Infrastructures

Harmonized All-Ways Security Surveillance and Disaster Prevention in Smart Eco-Cities

Prof. Dr. Byeongkeun Choi | Rotating Machinery Awards | Best Researcher Award

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Prof. Dr. Byeongkeun Choi | Rotating Machinery Awards | Best Researcher Award

Prof. Dr. Byeongkeun Choi, Gyeong sang national university, South Korea

Dr. Byeong-Keun Choi is a seasoned professor in the Department of Energy and Mechanical Engineering at Gyeongsang National University, Korea. He earned his Ph.D. (1999), M.S. (1993), and B.S. (1991) in Mechanical Engineering from Pukyong National University, Korea, establishing a robust foundation in vibration analysis and machine dynamics. Since 2002, Dr. Choi has contributed significantly to academia and industry, conducting research in mechanical engineering and collaborating on numerous industry-focused projects. His research spans vibration analysis, rotor dynamics, and machine fault diagnosis, working alongside prominent organizations such as LG Electronics, NASA Langley Research Center, and Korea Aerospace Industries. Dr. Choi also served as a Visiting Professor at Arizona State University from 2009 to 2012 and held previous academic roles as a Post-Doctoral Research Associate and Lecturer at the same institution. His contributions to the field include developing advanced diagnostic systems and optimizing rotating machinery, with an emphasis on sustainable, high-efficiency designs for the energy and aerospace industries.

Professional Profile:

SCOPUS

Summary of Suitability

Dr. Choi’s longstanding commitment to high-impact research, international collaboration, and integration of emerging technologies like machine learning in mechanical engineering make him a strong candidate for the Best Researcher Award. His career exemplifies the qualities the award seeks to recognize: innovation, industry impact, and scholarly contribution. His research has demonstrated both depth and versatility, marking him as a distinguished figure in energy and mechanical engineering.

🎓 Education

  • Ph.D. in Mechanical Engineering, Pukyong National University, Korea (1999)
  • M.S. in Mechanical Engineering, Pukyong National University, Korea (1993)
  • B.S. in Mechanical Engineering, Pukyong National University, Korea (1991)

💼 Work Experience

  • Professor (2002 – Present)
    Gyeongsang National University, Korea
  • Visiting Professor (2009 – 2012)
    Arizona State University, USA
  • Post-Doc Research Associate & Academic Professional (1999 – 2002)
    Arizona State University, USA

🛠️ Research Projects & Expertise

Dr. Choi has collaborated on numerous innovative projects with industry giants like LG Electronics, Korea Heavy Industry, Hyundai, NASA, and the Korean Ministry of Science and Technology. His work spans vibration diagnostics, fault detection, energy efficiency in pumps, and advanced diagnostic systems. His most impactful projects include:

  • Vibration Reduction and Diagnosis Systems 🌀
  • Advanced Rotor Dynamics & Fault Detection Algorithms ⚙️
  • High-Pressure LNG Pump Design 🔋
  • Intelligent Digital Governor & Actuator Development 🔧
  • Hydrogen Compressor Technology 🌱

Publication top Notes:

A Study on Machine Learning-Based Feature Classification for the Early Diagnosis of Blade Rubbing

CNN-based fault classification using combination image of feature vectors in rotor systems

Development of features for blade rubbing defect classification in machine learning

CNN-based fault classification considered fault location of vibration signals

Novelty class detection in machine learning-based condition diagnosis

Functionalized carbon nanotube–cellulose nanocrystal (CNT–CNC) composite buckypaper via various methods for improved hydrophilicity performance and behavior

Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

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Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

Mr. Zhongzhi Li, Fudan University, China

Zhongzhi Li, is a male graduate student specializing in Aeronautics and Astronautics at Fudan University, where he maintains a GPA of 3.41/4.0, ranking 1st among 45 students. His academic journey began at Shenyang Aerospace University, where he earned a Bachelor’s degree in Computer Science and Technology, achieving an impressive GPA of 93/100 and ranking 1st out of 155. Zhongzhi has published three first-author papers in SCI-indexed journals and has applied for a patent, reflecting his research focus on time series analysis. He has received several scholarships, including the National Scholarship and the Zhang Mingwei Inspirational Scholarship. His practical experience includes internships as an AI Engineer Intern at Huawei Technologies, where he developed predictive models for cloud services, and as an Algorithm Intern at Gotion High-tech, where he created algorithms for battery fault prediction with high accuracy. Zhongzhi also served as a student assistant at Fudan University’s Party Building Service Center and currently leads the Graduate Student Union’s Practice Department. In addition to his academic pursuits, he is an avid sports enthusiast, enjoying basketball, volleyball, and running, and has participated in several marathons, including the 2022 Shanghai Half Marathon.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Zhongzhi Li

Academic Excellence and Research Experience: Zhongzhi Li demonstrates a strong academic foundation and expertise in both time series analysis and fault detection in various engineering applications. His achievements at Fudan University, where he ranks 1st out of 45 peers with a GPA of 3.41/4.0, along with his numerous scholarships (National Scholarship, Zhang Mingwei Inspirational Scholarship, etc.), reflect his academic dedication and capabilities. His undergraduate performance was equally impressive, ranking 1st out of 155 students at Shenyang Aerospace University.

Education

Fudan University
Master of Science in Aeronautics and Astronautics
Duration: September 2022 – June 2025

  • GPA: 3.41/4.0
  • Rank: 1/45
  • Scholarships: National Scholarship, Freshman Scholarship, Zhang Mingwei Inspirational Scholarship, Zhang Yongming Scholarship

Shenyang Aerospace University
Bachelor of Science in Computer Science and Technology
Duration: September 2018 – June 2022

  • GPA: 93/100
  • Rank: 1/155
  • Scholarships: National Scholarship, “Top Ten Figures of the Year” at SAU, Six Academic Excellence Scholarships, Enterprise Scholarships

Work Experience

Huawei Technologies Co., Ltd.
AI Engineer Intern, Huawei Cloud Algorithm Innovation Lab
Duration: July 2023 – August 2023

  • Analyzed current usage data on Huawei Cloud, visualizing trends in VM core counts and types using stacked area charts.
  • Developed a multimodal XAI predictive model for VM request sequence forecasting, integrating large-scale semantic information. Utilized an improved Transformer-based algorithm, achieving less than 10% prediction error on monthly and yearly scales.

Gotion High-tech Co., Ltd.
Algorithm Intern, Big Data Engineering Department
Duration: September 2022 – March 2023

  • Developed supervised and unsupervised algorithms for predicting thermal runaway faults in lithium and ternary lithium batteries, achieving detection accuracy above 95%.
  • Proposed an improved thermal runaway detection algorithm using Stacking, achieving nearly 100% accuracy, which was successfully deployed on Alibaba Cloud PAI.

Dongguan Securities Co., Ltd.
Research Intern, Quantitative Investment Department
Duration: May 2022 – August 2022

  • Managed FTP data downloads (30GB) using verification scripts to tackle large data volume and speed limits.
  • Conducted stock data preprocessing and historical data analysis with Python and C++. Practiced basic quantitative investment strategies, including dual moving average, multi-factor stock selection, Bollinger Bands, and PEG strategies.

Fudan University Party Building Service Center
Student Assistant
Duration: September 2022 – July 2023

Fudan University Department of Aeronautics and Astronautics
Head of Graduate Student Union Practice Department / Office Assistant
Duration: September 2023 – September 2024

Publication top Notes:

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