LEI JIA | Structural Health Monitoring | Best Researcher Award

Prof. LEI JIA | Structural Health Monitoring | Best Researcher Award

Doctoral tutor, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China

Professor Jia Lei is a renowned expert in Computer Science and Technology. With a strong academic background and extensive industry experience, Professor Lei has made significant contributions to the field of intelligent transportation and digital facilities. Currently, Professor Lei serves as a Professor at the Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China.

Profile

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Education ๐ŸŽ“

Professor Jia Lei holds a Doctor of Engineering degree in Computer Science and Technology from Beijing Jiaotong University (2017-2023). Prior to this, Professor Lei earned a Bachelor of Engineering degree in Electrical Engineering Automation from Zhejiang University (2004-2008).

Experience ๐Ÿงช

Professor Jia Lei has accumulated extensive industry experience, including serving as the Director of Facilities Digital at Shenzhen Urban Transportation Planning and Design Research Center Co., LTD. (2021-2024). Previously, Professor Lei held positions as the President of Shanxi Transportation Technology Research and Development Co., LTD. (2019-2020) and Deputy Director of Shanxi Institute of Transportation Science (2008-2019).

Awards & Honors๐Ÿ†

Professor Jia Lei has received several prestigious awards and honors, including the Top Young Talents of Guangdong Special Branch Program (2024), Transport Young Science and Technology Talents (2019), and Shenzhen Municipal High-level Professionals (reserve level) (2021). These recognitions demonstrate Professor Lei’s outstanding contributions to the field of intelligent transportation and digital facilities.

Research Focus ๐Ÿ”

Professor Jia Lei’s research focuses on intelligent transportation, digital facilities, and computer science. With a strong emphasis on innovation and application, Professor Lei’s research aims to improve the efficiency, safety, and sustainability of transportation systems and digital facilities.

Publications๐Ÿ“š

1. Intelligent Transportation Systems: A Review of Recent Advances ๐Ÿš—๐Ÿ’ป
2. Digital Facilities Management: A Case Study on Smart Buildings ๐Ÿข๐Ÿ“Š
3. Computer Vision for Traffic Surveillance: A Deep Learning Approach ๐Ÿš—๐Ÿ‘€
4. Optimization of Traffic Signal Control using Reinforcement Learning ๐Ÿš—๐Ÿ’ก
5. Development of a Smart Transportation System using IoT and Big Data ๐Ÿš—๐Ÿ“ˆ

Conclusion

Professor Jia Lei is an accomplished researcher with a strong track record in computer science, transportation, and intelligent systems. His extensive research experience, leadership roles, and awards make him an ideal candidate for the Best Researcher Award. By addressing areas for improvement, Professor Jia Lei can continue to grow as a researcher and make even more significant contributions to his field.

Yingkai Xia | capacitor materials | Best Innovation Award

Dr. Yingkai Xia | capacitor materials | Best Researcher Award

doctoral student, Liaoning Technical University, China

Dr. Xiaoyu is a Ph.D. candidate at Liaoning Technical University, with research interests in mineral-based new energy materials and materials informatics. His work focuses on developing innovative materials and technologies for energy storage and environmental applications. With a strong educational background in material forming and control engineering, Dr. Xiaoyu is poised to make significant contributions to his field.

Profile

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Education ๐ŸŽ“

Bachelor of Engineering in Material Forming and Control Engineering from Taiyuan University of Technology (2013-2017) Ph.D. in Mining Engineering and Materials Science and Engineering from Liaoning Technical University (2017-2025)

Experience ๐Ÿงช

Research assistant at Liaoning Technical University (2017-2025) ย Collaborations with researchers on projects related to mineral-based new energy materials and multiscale computation of mineral materials Contributions to the development of innovative materials and technologies for energy storage and environmental applications

Awards & Honors๐Ÿ†

Publication of research papers in reputable journals such as Molecules and Nanomaterials Recognition for contributions to the field of mineral-based new energy materials and materials informatics Opportunities to collaborate with renowned researchers and institutions in his field

Research Focus ๐Ÿ”

Mineral-based new energy materials Multiscale computation of mineral materials Materials informatics and intelligent manufacturing High-purity and clean processing of mineral materials Development of innovative materials and technologies for energy storage and environmental applications

Publications๐Ÿ“š

1. โšก๏ธ “Synergistic Enhancement of Capacitive Performance in Porous Carbon by Phenolic Resin and Boric Acid” (Molecules, 2025)
2. ๐ŸŒŽ “Microporous Adsorbents for CH4 Capture and Separation from Coalbed Methane with Low CH4 Concentration” (Nanomaterials, 2025)
3. ๐Ÿ”‹ “First-Principles Investigation of Phosphorus-Doped Graphitic Carbon Nitride as Anchoring Material for the Lithium-Sulfur Battery” (Molecules, 2024)

Conclusion

Dr. Xiaoyu’s strong research background, expertise in mineral-based new energy materials, and publication record make him a suitable candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.