Prof. Chae-Ryong Cho | Secondary batteries | Best Researcher Award

Prof. Chae-Ryong Cho | Secondary batteries | Best Researcher Award

Department of Nanoenergy Engineering/Pusan National University, South Korea.

Prof. Chae-Ryong Cho is a distinguished physicist specializing in nanoenergy engineering. Currently serving as a professor at Pusan National University (PNU) in Busan, Korea, he has made significant contributions to the fields of lithium-ion batteries, photocatalysts, and nanostructured materials. His research has been widely recognized, with numerous publications and patents to his name.

Profile

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Education πŸŽ“

Prof. Chae-Ryong Cho earned his Bachelor of Science (B.S.) in Physics from Pusan National University, Busan, Korea (1982-1986). He then pursued a Master of Science (M.S.) in Surface Physics at Gyeongsang National University, Jinju, Korea (1986-1988). Later, he completed his Doctor of Philosophy (Ph.D.) in Solid-State Physics at Pusan National University, Busan, Korea (1991-1995), specializing in the advanced study of solid-state materials and their physical properties.​

Experience 🏒

Prof. Chae-Ryong Cho is a Professor of Nanoenergy Engineering at Pusan National University (PNU) since 2006, specializing in secondary batteries and surface physics. He currently serves as Director of the Secondary Battery Convergence and Open Sharing System (COSS) and Secondary Battery Convergence Major at PNU (2023-Present), as well as Director of the Secondary Batteries Industry Technical Human Resource Development Center (SBitHRD) (2021-Present).

Previously, he was Dean of the College of Nanoscience & Nanotechnology at PNU (2018-2020) and a Visiting Scholar at the University of Illinois at Urbana-Champaign (2013-2014). His research experience includes roles at Korea Basic Science Institute (KBSI), Electronics and Telecommunications Research Institute (ETRI), University of Minnesota, and UIUC. His work focuses on solid-state physics, surface analysis, and secondary battery technology.

Research Interests πŸ”¬

Lithium-ion Batteries: Focus on developing advanced anode and cathode materials.​

Sodium (Na) and Potassium (K) Ion Batteries: Exploration of alternative energy storage solutions.​

All-Solid-State Batteries: Researching safer and more efficient battery technologies.​

In Situ Structural Analysis: Studying real-time structural changes in materials.​

Electrochemical Analysis of Active Materials: Investigating the electrochemical properties of battery components.​

Awards πŸ†

2005: President's Award (ROK)​

2018: Busan Science and Technology Award​

2018: Busan Mayor Award​

2021: Congratulatory Plaque from BISTEP Director​

2024: Deputy Prime Minister Award, Ministry of Education​

Selected Publications πŸ“š

Realization of a 2H-Si microneedle with an ultrafast growth rate of 6.7 Γ— 10⁴ Γ…Β·s⁻¹

Authors: S. Mun, K. Kim, S. Park, Y. Kang, H. Ahn

Journal: Semiconductor Science and Technology, 2025

Enhanced Li storage of pure crystalline-C60 and TiNbβ‚‚O₇-nanostructure composite for Li-ion battery anodes

Authors: I. Jeon, L. Yin, D. Yang, H. Ahn, C. Cho

Journal: Journal of Energy Chemistry, 2024

Citations: 3

Enhancing Li-Ion Battery Anodes: Synthesis, Characterization, and Electrochemical Performance of Crystalline C60 Nanorods with Controlled Morphology and Phase Transition

Authors: L. Yin, D. Yang, I. Jeon, M. Park, C. Cho

Journal: ACS Applied Materials and Interfaces, 2024

Citations: 3

Enhanced electrochemical performance and interdiffusion behavior of sodium ions in onion-derived freeze-dried and KOH-activated carbon for sodium-ion battery anodes

Authors: I. Jeon, T. Kim, J. Seo, D. Yang, C. Cho

Journal: Applied Surface Science, 2024

Citations: 5

Electrochemical behavior of Ag nanoparticle-incorporated Liβ‚„Tiβ‚…O₁₂ nanofibers as Li-ion battery anodes under visible light exposure

Authors: H. Yang, D. Yang, I. Jeon, J. Seo, C. Cho

Journal: Applied Surface Science, 2024

 

 

Prof. Dan Meng | Engineering | Best Researcher Award

Prof. Dan Meng | Engineering | Best Researcher Award

Qingdao Agricultural University, China.

Dan Meng is a Professor at Qingdao Agricultural University, specializing in cement-based composite materials. As a Master's supervisor and a council member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, his research focuses on the multi-scale performance of cement and geopolymer-based materials and their functionalized applications. With over 60 academic publications, 30+ patents, and several awards, he has made significant contributions to civil engineering and material science.

Profile

Scopus

πŸŽ“ Education

Prof. Dan Meng is currently a Visiting Scholar at Western Sydney University. With a strong academic and professional background in civil engineering, he has made significant contributions to the field, particularly in structural engineering and construction materials. As a dedicated member of the Chinese Society for Civil Engineering, Prof. Meng actively participates in research collaborations, technical discussions, and knowledge exchange initiatives aimed at advancing the discipline. His expertise and commitment to innovation continue to influence both academia and industry, fostering sustainable and resilient infrastructure development.

πŸ’Ό Experience

Professor Dan Meng is a distinguished faculty member at Qingdao Agricultural University, where he plays a pivotal role in advancing civil engineering education and research. As a Council Member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, he actively contributes to the development of engineering standards and best practices. With a strong research portfolio, he has successfully led 17 completed and ongoing research projects, addressing critical challenges in civil engineering. Additionally, his expertise extends to industry and consultancy, where he has been involved in 12 impactful projects, bridging the gap between academia and practical engineering solutions.

πŸ”¬ Research Interests

Cement-Based Composite Materials πŸ—οΈ

Geopolymer-Based Materials πŸ”¬

Multi-Scale Performance of Construction Materials πŸ“

Functionalized Applications of Cementitious Materials

πŸ† Awards & Achievements

πŸ… Second Prize – Science & Technology Progress (Department & Bureau Level)

πŸ… Second Prize – Humanities & Social Sciences (Shandong Provincial University Level)

πŸ… Second Prize – Social Sciences (Qingdao Level)

πŸ“š Publications

Experimental and Molecular Dynamics Simulation Study on Sulfate Corrosion Resistance of Cellulose-Nanocrystal-Modified ECC

Authors: L. Yu, X. Xu, S. Ni, X. Meng, B. Xu

Journal: Applied Sciences (Switzerland), 2025

Focus: Investigates sulfate corrosion resistance in engineered cementitious composites (ECC) modified with cellulose nanocrystals using experimental and molecular dynamics simulations.

Citations: 0

Study on Improving the Performance of Engineered Cement-Based Composites by Modifying Binder System and Polyethylene Fiber/Matrix Interface

Authors: Q. Fan, Y. Zheng, D. Meng, Y. Liu, H. Wu

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2025

Focus: Enhances ECC performance through binder system modification and fiber/matrix interface improvements.

Citations: 1

 

 

Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

National Ilan University, Taiwan.

Chih-Hsien Hsia is a distinguished professor and researcher in computer science, specializing in DSP IC Design, Computer Vision, Image Processing, and Cognitive Engineering. He holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University and Electrical & Computer Engineering from Tamkang University, Taiwan. Currently, he serves as a Distinguished Professor at National Ilan University and holds key positions in AI research, industry collaborations, and professional organizations. His contributions to AI, image processing, and intelligent systems have earned him prestigious awards and widespread recognition.

Profile

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πŸŽ“ Education

Prof. Dr. Chih-Hsien Hsia holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University, Taiwan, and Electrical & Computer Engineering from Tamkang University, Taiwan. His expertise spans multiple engineering disciplines, with a strong focus on cutting-edge technological advancements and interdisciplinary research.

πŸ’Ό Experience

Prof. Dr. Chih-Hsien Hsia is a Distinguished Professor at National Ilan University (2024 – Present) and serves as the Executive Director of the AI Promotion Office at the same institution. He is also the Director of the AIoX Research Center at National Ilan University (2024 – Present).

Beyond his role at NIU, he has been an Honorary Distinguished Professor at Chaoyang University of Technology since 2022 and a Board Member of the Chinese Society of Consumer Electronics since 2018. Additionally, he holds the position of Vice Chair of the IEEE Taipei Chapter Signal Processing Society (2024 – Present).

Previously, he served as a Professor at National Ilan University (2020 – 2024) and was the Chairperson of the Department of Computer Science at NIU from 2021 to 2024. His leadership and research contributions have significantly advanced AI, signal processing, and computer science education.

πŸ”¬ Research Interests

πŸ–₯ DSP IC Design

πŸ“· Computer Vision & Image Processing

🧠 Cognitive Engineering

πŸ† Awards & Honors

πŸ₯‡ Taiwan International Science Fair (2025) – First Prize in Computer Science & Engineering

πŸ… Best Paper Awards at IEEE Eurasia Conference on IoT, IET International Conference, National Defense Technology Academic Conference (2024)

🌟 World's Top 2% Scientists (2022)

πŸŽ– Outstanding Young Scholar Award – Computer Society of the Republic of China (2018, 2020)

πŸ“š Notable Publications

Finger Vein Recognition Based on Vision Transformer with Feature Decoupling for Online Payment Applications
IEEE Access, 2025 | DOI: 10.1109/ACCESS.2025.3552075
Contributors: Liang-Ying Ke, Yi-Chen Lin, Chih-Hsien Hsia

Artificial Intelligence and Machine Learning in Sensing and Image Processing
Sensors, 2025-03-18 | DOI: 10.3390/s25061870
Contributors: Jing Chen, Miaohui Wang, Chih-Hsien Hsia

An Edge-Cloud Collaborative Scalp Inspection System Based on Robust Representation Learning
IEEE Transactions on Consumer Electronics, 2024 | DOI: 10.1109/TCE.2024.3474911
Contributors: Sin-Ye Jhong, Guan-Ting Li, Chih-Hsien Hsia

Tucker Decomposition and Log-Gabor Feature-Based Quality Assessment for the Screen Content Videos
IEEE Transactions on Instrumentation and Measurement, 2024 | DOI: 10.1109/TIM.2024.3381267
Contributors: Hailiang Huang, Huanqiang Zeng, Jing Chen, Junhui Hou, Chih-Hsien Hsia, Kai-Kuang Ma

Width-Adaptive CNN: Fast CU Partition Prediction for VVC Screen Content Coding
IEEE Transactions on Multimedia, 2024 | DOI: 10.1109/TMM.2024.3410116
Contributors: Chao Jiao, Huanqiang Zeng, Jing Chen, Chih-Hsien Hsia, Tianlei Wang, Kai-Kuang Ma