Jiajia Cai | Environmental Engineering | Best Researcher Award

Published on by New Scientists

Dr. Jiajia Cai | Environmental Engineering | Best Researcher Award

Lecture, Anhui University of Technology, China

Dr. Jiajia Cai is a Lecturer at the School of Energy and Environmental Engineering, Anhui University of Technology, China, where she leads research on photoelectrochemical corrosion protection, renewable energy conversion, and AI-driven materials discovery. She earned her Ph.D. in Materials Science from Northeastern University in 2016, following an M.Sc. in Analytical Chemistry (2011) and a B.Sc. in Applied Chemistry (2009), all from Northeastern University, China. Her research focuses on developing advanced photoelectrochemical materials for sustainable energy applications, including photoelectrocathodic protection (PCP) for metals, green hydrogen production via water splitting, and AI-assisted design of novel semiconductor photoanodes. Professionally, Dr. Jiajia Cai has served as a Lecturer at Anhui University of Technology since 2016, a Postdoctoral Researcher at the National University of Singapore (2019–2020) focusing on optimization of photoanode materials, and a Visiting Scholar at Tsinghua University (2024–2025) emphasizing AI applications in materials science. Her key contributions include the design and fabrication of highly efficient photoanodes using morphology engineering, heterojunction construction and cocatalyst loading strategies, bridging fundamental photoelectrochemistry with practical corrosion prevention technologies and publishing over 50 SCI-indexed papers (58 documents, 877 citations, h-index 17), along with 4 patents under publication or review. She has led multiple national and provincial research projects, including funding from the National Natural Science Foundation of China and Anhui Provincial Natural Science Foundation, as well as support from the Key Lab for Anisotropy and Texture of Materials (ATM), Ministry of Education. Dr. Jiajia Cai is an active member of the Chinese Chemical Society and collaborates with leading institutions such as Tsinghua University, National University of Singapore, and Northeastern University. Her work significantly advances sustainable energy solutions, corrosion protection, and AI-driven materials discovery, contributing to environmental engineering, industrial innovation, and global scientific knowledge. Dr. Jiajia Cai’s research excellence, leadership, and vision position her to continue making transformative contributions to renewable energy and advanced material technologies worldwide.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Scilit

Featured Publications

1. Cai, J., Zhang, Z., Zu, S., Cui, A., Li, X., Xie, Q., Mao, K., & Chen, J. (2025). Built-in electric field in BiVO₄-SnO₂ heterostructure for enhanced photoelectrochemical H₂O₂ production. Fuel, 405, 136762.

2. Zhu, S., Cai, Z., Wang, Y., Wang, J., Cai, J., Xie, Q., & Huang, Z. (2025). Enhanced photoelectrochemical cathodic protection on steel in marine environment by cascade heterojunctions. Construction and Building Materials, 493, 143255.

3. Zhu, S., Xu, F., Wang, Y., Cai, J., Xie, Q., Yang, Y., & Huang, Z. (2025). Experimental study on heat transfer characteristics of a moving single-nozzle jet impingement. ISIJ International, 65(9), 1348–1358.

4. Xie, Q., Cai, Z., Wang, Y., Cai, J., Wang, J., & Sun, S. (2025). Efficient Z-scheme of 2D ZnIn₂S₄/3D TiO₂ for enhanced photoelectrochemical cathodic protection. Journal of Environmental Chemical Engineering, 13(5), 118305.

5. Chen, Q., Zhu, S., Xin, Z., Wang, D., Cai, J., Li, H., & Ding, S. (2024). Surfactant-assisted synthesis of NiCo alloy with specific nanopore architecture as a bifunctional electrocatalyst for rechargeable zinc-air batteries. Functional Materials Letters, 17(04), 451021.

 

Jun Liu | Climate Change | Best Researcher Award

Published on by New Scientists

Mrs. Jun Liu | Climate Change | Best Researcher Award

Director, Taiyuan University of Technology, China

Mrs. Jun Liu is an Associate Professor at the College of Geological and Surveying Engineering, Taiyuan University of Technology, specializing in remote sensing applications with a strong focus on climate change, carbon estimation, and drought monitoring. She earned her Ph.D. in Remote Sensing of Environment from Nanjing University, China (2012), following a Master’s degree in Remote Sensing of Geological Disaster (2006) and a Bachelor’s degree in Surveying Engineering (2003), both from Taiyuan University of Technology. Her professional experience includes serving as a lecturer at Shanxi Engineering Vocational College (2006–2013), an associate professor since 2013 and a visiting fellow at the Australian National University (2017–2018). Mrs. Jun Liu’s research interests revolve around applying advanced satellite and geospatial technologies to monitor environmental changes and develop sustainable solutions. Her research skills include geospatial data analysis, environmental monitoring, carbon accounting and interdisciplinary project collaboration. She has published extensively in leading international journals and conferences, with 124 documents, 3,189 citations and an h-index of 31, reflecting her academic influence. Recognized for her scholarly contributions, she has earned respect as a dedicated educator and researcher. In conclusion, Mrs. Jun Liu’s impactful research, global collaborations and commitment to addressing climate challenges position her as a deserving candidate for prestigious academic recognition.

Profile: Scopus

Featured Publications

1. Sun, Y., Liu, L., Jiang, L., Chen, Y., Zhang, H., Xu, X., & Liu, Y.* (2023). Unimolecular chiral stepping inversion machine. Journal of the American Chemical Society, 145(28), 16711.

2. Liu, J., Tian, Q., Huang, Y., Du, L., & Wang, L. (2011, June 24–26). Extraction of the corn planting area based on multi-temporal HJ-1 satellite data. The 19th International Conference on Geoinformatics, Shanghai, China. (Accession No. 20113614308210).

3. Liu, J., Tian, Q., Huang, Y., & Du, L. (2012). Dynamic monitoring of summer maize planting information for spatial and temporal variations in Huanghuaihai plain during 2000–2010. Spectroscopy and Spectral Analysis, 32(9), 2534–2539.

4. Liu, J., Tian, Q., Huang, Y., & Du, L. (2013). Monitoring phenology of summer maize in Huanghuaihai using remote sensing technology. Remote Sensing Information, 28(3), 85–90.

5. Liu, J., Tian, Q., Huang, Y., & Du, L. (2012, August 11–13). Extraction of summer maize using MODIS EVI time series in the Huanghuaihai plain. International Conference on Computer Science and Service System, Nanjing, China. (Accession No. 20130615981764).