Assoc Prof. Dr. Jing Sun | Environmental and Sustainable Materials | Best Researcher Award

Assoc Prof. Dr. Jing Sun, Shandong University, China

Assoc Prof. Dr. Jing Sun, a leading expert in Environmental and Sustainable Materials at Shandong University, China, has been honored with the prestigious Best Researcher Award 🏆. Her groundbreaking work focuses on developing eco-friendly materials that contribute to sustainable development 🌱. Dr. Sun’s innovative research has significantly advanced the field, earning her numerous accolades and recognition from the scientific community 🌟. Passionate about environmental sustainability, she actively collaborates with international researchers and mentors students, fostering the next generation of scientists 👩‍🔬🌏. Her dedication and achievements make her a true inspiration in the world of environmental science and sustainable materials 🌿🔬.

Profile 📝

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Academic and Professional Background 🎓📚

🔋✨ Assoc. Prof. Dr. Jing Sun is an Associate Professor at the National Engineering Laboratory for Reducing Emissions from Coal Combustion at Shandong University. 🌟 Selected for the Future Program for Young Scholars in 2018 and the International Clean Energy Talent Program in 2019, she is a leading researcher in energy and environmental engineering. 🌍🔬 Her work focuses on value-added utilization of spent Li-ion batteries, flue gas pollutant treatment, and energy storage materials and technology. 🌱🔧 In late 2019, she participated in academic exchanges at Mälardalen University in Sweden. 🌐📚 Dr. Sun’s contributions are pivotal in advancing sustainable energy solutions. 🔋🚀

Research Projects 🔬📊

Assoc Prof. Dr. Jing Sun is a distinguished researcher with several ongoing and completed projects. She currently leads a project on the preparation of porous graphene (2024-2027) and facilitated hydrogen absorption by magnesium hydride (2022-2025), both funded by the National Natural Science Foundation of China (NSFC). Her past research includes pollutant control in cement kilns (2020-2024) and carbon-doped magnetic nanoparticles (2019-2022). Dr. Sun’s work has garnered over 1900 citations and an H-index of 25. 🌟📊🔬 She continues to make significant contributions to environmental science and materials engineering. 🌱🏆

Areas of Research 🔍🧬

Assoc. Prof. Dr. Jing Sun’s research focuses on special microwave-matter interactions and their applications. 🌟 She studies the heating, plasma, and photo-catalytic effects of microwave-metal discharges and their use in energy conversion, such as efficient pyrolysis of biomass, E-waste, and waste tires. 🌍 Additionally, her work includes treating organic pollutants like VOCs and tar into useful fuel gas through microwave-metal discharges and developing novel technologies for synthesizing functional nanomaterials. 🔬 Dr. Sun also explores new energy materials, including the regeneration of retired lithium-ion battery materials and the development of hydrogen storage materials. 💡 Her research extends to removing gaseous pollutants with innovative control technologies. 🏭

Professional Memberships 👥🏅

Associate Professor Dr. Jing Sun is an active member of several prestigious professional organizations in her field. She is affiliated with the American Society for Civil Engineers (ASCE) 🏗️, the International Association for Bridge and Structural Engineering (IABSE) 🌉, and the Institution of Structural Engineers (IStructE) 🏢. Additionally, she is a part of the Structural Engineering Institute (SEI) 🏠 and the American Concrete Institute (ACI) 🧱. Dr. Sun’s involvement in these organizations highlights her commitment to advancing structural engineering and her dedication to staying updated with the latest industry trends and innovations. 🌟

Industry Projects 🏭💼

Associate Professor Dr. Jing Sun has been actively engaged in numerous consultancy and industry-sponsored projects. 🌟 With a proven track record, she has successfully led and collaborated on over 15 projects, providing expert guidance and innovative solutions. 💡 Her projects span various sectors, including renewable energy, sustainable building design, and advanced material science. 🏗️🔬 Dr. Sun’s extensive experience has earned her recognition and trust within the industry, driving impactful advancements and fostering strong partnerships. 🤝 Her commitment to excellence and sustainability continues to make significant contributions to the field. 🌍✨ #Consultancy #IndustryProjects #Innovation

Publications Top Notes 📑✍️

A Strategy for Anode Recovery and Upgrading by In Situ Growth of Iron-Based Oxides on Microwave-Puffed Graphite

A feasible recycling route for spent graphite: Microwave-assisted puffing with Fe2O3 loading to construct high-performance anode for lithium-ion batteries

Hierarchical core–shell Ni@C-NCNTs nanocomposites tailored for microwave-induced dry reforming of methane process

Insights into the underpinning effect of graphene in Cu1Mn10 on enhancing the low-temperature catalytic activity for CO oxidation

Progress on the Microwave-Assisted Recycling of Spent Lithium Battery Graphite

Mr. Zhuoyong Shi | Engineering | Academic Brilliance Star Award

🎓Postgraduate students in progress, Northwestern Polytechnical University, China

Mr. Zhuoyong Shi, a distinguished engineering scholar at Northwestern Polytechnical University, China, has been honored with the prestigious Academic Brilliance Star Award. This accolade recognizes his outstanding contributions to the field of engineering and his unwavering commitment to academic excellence. As a dedicated postgraduate student, Mr. Shi has demonstrated exceptional research capabilities, innovative thinking, and a passion for advancing technological frontiers. His work not only exemplifies scholarly dedication but also sets a high standard for his peers. The university proudly celebrates his achievements, anticipating even greater contributions in the future. 🌟📚🛠️

PROFILE 🌟

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EDUCATION 📚

Mr. Zhuoyong Shi is currently pursuing his Master of Engineering in Electronic Science and Technology at Northwestern Polytechnical University, maintaining an impressive GPA of 3.82/4.0 and ranking 1st out of 54 students. He has received several prestigious accolades, including the China National Scholarship for Graduate Students and the Academic First Class Scholarship 🏅. Additionally, he serves as one of the four ITU Generation Connect Youth Envoys in China 🌐 and has been recognized as an Outstanding Graduate Student. His research interests encompass machine learning, pattern recognition, UAVs, and mathematical modeling 🤖📊. Previously, he earned his Bachelor of Engineering in Electronic Information from Xi’an Jiaotong University City College, graduating with a GPA of 3.31/4.0 and ranking 3rd out of 108 students 🎓. During his undergraduate studies, he was honored with the Outstanding Graduation Project, Distinguished Graduate, and the Academic Second Class Scholarship 🏆.

PROJECTS 🔍

Mr. Zhuoyong Shi has been leading and participating in multiple key R&D projects in Shaanxi Province. Since September 2022, he has been the student leader for The Key R&D Projects in Shaanxi Province (No. 2022GY-089), focusing on multimodal recognition and situational awareness 🌐🤖. From June 2022 to January 2024, he contributed to The Natural Science Basic Research Program of Shaanxi (No. 2022JQ-593), working on reinforcement learning and intelligent decision making 🧠🔍. He also led The Shaanxi Provincial Sports Scientific Research Project (No. 2021382) from September 2021 to September 2022, concentrating on monitoring systems and big data analysis 📊📈. Currently, he is the project leader for the Postgraduate Innovation and Practice Fund Project (No. 06080-24GH01020101) since April 2024, where his research emphasizes pattern recognition and effectiveness evaluation 🔍✅.

COMPETITIONS 🏆

Mr. Zhuoyong Shi has achieved remarkable success in various prestigious mathematical and modeling competitions. He led his team to secure the National Top Prize in the “Electrical Cup” China Undergraduate Mathematical Contest in Modeling in August 2021 🏆. His individual excellence is highlighted by winning the National First Prize twice in the National Undergraduate Mathematics Competitions in November 2021 and 2020 🥇. In May 2021, as the team leader, he earned an Honorable Mention in the Interdisciplinary Contest In Modeling (ICM) 🌟. Further showcasing his leadership, his team won the National Second Prize in the National Student Statistical Analysis of Data Competition in July 2023 🥈, and the National Third Prize in the “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling in December 2023 🥉. His earlier accolades include the Shaanxi Province First Prize in the China Undergraduate Mathematical Contest in Modeling in September 2019 and the Northwestern Regional First Prize in the National Graduate Student Electronic Design Competition in July 2023 💡. Additionally, he won the Shaanxi Province First Prize in the Higher Mathematics Competition for College Students in October 2019 📚.

EXPERIENCE🚀

Mr. Zhuoyong Shi’s academic journey is marked by notable achievements. He secured first place in the 2023 Future AI Masters and Global IT Training Camp 🌟 and was recognized as an Excellent Camper at the Northwest University of Technology Summer Camp 🏆. Demonstrating his expertise in programming, he served as a teaching assistant for “MATLAB Programming and Application” courses and is the author of a textbook on the same subject 📘 (ISBN: 9787121449376). His planning capabilities shine through his leadership in various competitions and projects, effectively organizing research tasks into manageable sub-tasks using systems engineering principles 🎯.

SKILLS💡

Mr. Zhuoyong Shi is proficient in several programming languages, including MATLAB, Python, and C, demonstrating a robust foundation in software development and technical computing 💻. His expertise extends to various drawing and visualization tools such as MATLAB, Python (matplotlib), Origin, and Visio, enabling him to create detailed and precise graphical representations of data 📊. In the realm of machine learning, Mr. Shi has mastered a range of algorithms, including Support Vector Machines (SVM), Random Forest, Long Short Term Memory Networks (LSTM), Neural Networks, and Reinforcement Learning, showcasing his ability to implement advanced analytical and predictive models 🤖