Prof. Dr. Juqing Liu | Hiding Awards | Best Researcher Award

Prof. Dr. Juqing Liu, Nanjing tech university, China

Liu Juqing is a Professor at the School of Flexible Electronics (Future Technology) and the Institute of Advanced Materials at Nanjing University of Technology. He holds a Ph.D. in Information Materials from Nanjing University of Posts and Telecommunications and has extensive experience in material physics and chemistry, with postdoctoral training at Nanyang Technological University, Singapore. Liu’s research focuses on advanced materials and flexible electronics, particularly in the development of memory devices and neuromorphic systems. He has published extensively in high-impact journals like Nature Communications and Advanced Science, with his work contributing to the development of innovative materials for electronic and memory devices. In addition to his research, Liu has been granted several patents in China for his work on polymer memory devices and electrostorage technologies. He has received multiple academic awards, including the Provincial First Prize from the Ministry of Education, and leads national projects funded by the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award and conclusion

Liu Juqing is highly suitable for the Best Researcher Award due to his extensive academic background, notable research achievements, and significant contributions to the field of flexible electronics and advanced materials. His qualifications include a PhD in Information Materials from Nanjing University of Posts and Telecommunications, along with postdoctoral research experience at Nanyang Technological University, Singapore. He has been a Professor at the School of Flexible Electronics at Nanjing University of Technology since 2014.

🎓 Education

PhD in Information Materials, Nanjing University of Posts and Telecommunications (2007-2011)
Master’s in Material Physics and Chemistry, Shantou University (2004-2007)
Bachelor’s in Physics, Anhui Normal University (2000-2004)

💼 Postdoctoral Experience

Nanyang Technological University, Singapore (2011-2013)

📚 Academic & Research Experience

Professor at Nanjing University of Technology (2014-present)
Associate Professor at Nanjing University of Technology (2013-2014)

🔬 Research Focus & Achievements

Liu Juqing’s expertise lies in flexible electronics and advanced materials, focusing on electroconductive wire tracking, photoconductive-assisted resistive switching memory, and neuromorphic systems. He has co-authored influential papers in journals like Nature Communications and Advanced Science. His research has led to several patents in the field of polymer-based memory devices, contributing significantly to material science innovations.

🏅 Awards & Honors

Liu’s work has earned recognition in the form of prestigious awards, including first prizes for “Organic Information Storage and Security” from the Ministry of Education of China in 2017.

🔧 Recent Patents

“Polymer Gate Devices and Their Manufacturing Method” (2024)
“Non-volatile Resistive Switching Memory” (2023)
“Two-Dimensional Molecular Crystal-Graphene Oxide Heterojunction” (2023)

🚀 Liu Juqing continues to push the boundaries of technology and materials science with a focus on integrating innovative solutions into future technologies.

Publication top Notes:

Stabilizing Carbon Dot Phosphorescence in Aqueous Solutions by Hydrogen-Bonded Networks for Dual-Wavelength-Driven Information Encryption

Robust Organic–Inorganic Heterosynapses with High PPF and Broad Photoperception

Bio-Inspired Ion-Conducting Foam Elastomer for Human Motion Monitoring

A multicolor tunable fiber with core–multishell structure by electroluminescence-thermochromic mixing

Simultaneous light and thermal emission of waterproof core-multishell fibers for woven textile electronics

Ms. MIRACLE UDURUME, Ulsan University, South Korea

Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.

Summary of Suitability for Best Researcher Award

Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.

🎓 Education

MSc in Microbiology
Kumoh National Institute of Technology, South Korea
📅 February 2023

Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
Advisor: Professor Wansu Lim

BSc in Mathematics
Delta State University, Abraka, Nigeria
📅 October 2019

Second Class Upper Division
Thesis: Counting Techniques in Discrete Mathematics
Advisor: Dr. J.S. Apanapudor

🔬 Research Experience

Kumoh National Institute of Technology, South Korea
📅 June 2021 – November 2022

Worked on lab projects under the supervision of Professor Wansu Lim

Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches 📊

Conducted voice emotion recognition using machine learning models such as LSTM and CNNs 🎙️

Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 📸

Developed real-time multimodal emotion recognition using multithreaded weighted average fusion 🔄

Researched hybrid lithium-ion and ultra-capacitors for electric vehicles 🚗

Applied data fusion techniques for face and speech emotion recognition 🤖

Generated artificial data for ultra-capacitor projects 🔋