Prof Dr. Guixin Cao -Quantum Materials – Best Researcher Award

Shanghai University – China

Author Profile

🎓 Educational Background

Dr. Guixin Cao obtained his Ph.D. in Physics from Shanghai University, China, in 2006, where he laid the groundwork for his expertise in condensed matter physics. Prior to this, he earned his M.S. in Physics from Henan Normal University, China, in 2002, further strengthening his academic and research skills in materials science and quantum physics. His educational journey played a crucial role in shaping his future contributions to the field.

👨‍🏫 Academic and Professional Experience

Prof. Guixin Cao has had an extensive and distinguished career in academia and research institutions across the globe. Since 2019, he has been serving as a Professor at the Materials Genome Institute, Shanghai University, where he is engaged in cutting-edge research in materials science. Prior to this, from 2018 to 2019, he worked as a Research Associate 2 at the Department of Physics, The Ohio State University, contributing significantly to advancements in quantum materials. From 2015 to 2018, he served as a Senior Postdoctoral Researcher in the Department of Physics & Astronomy at Louisiana State University, focusing on experimental condensed matter physics. Between 2011 and 2015, Prof. Cao was a Postdoctoral Researcher at the University of Tennessee & Oak Ridge National Laboratory, where he specialized in materials science and nanophase materials. His earlier postdoctoral research from 2008 to 2010 at the Max-Planck-Institute for Solid State Research allowed him to gain expertise in single crystal growth in strongly correlated materials. In the initial phase of his academic career, he worked as a Lecturer and Associate Professor at Shanghai University (2006-2008), where he played a pivotal role in teaching and guiding research in physics.

🏅 Honors and Awards

Guixin Cao has received multiple awards recognizing his academic excellence and research contributions. Notable accolades include the Max-Planck-Institute Scholarship (2008-2010), the Shanghai Science & Technology Progress Award (2006), and the Shanghai Excellent Graduate Award (2006). These honors highlight his outstanding work in experimental physics and materials science.

🔬 Research Interests

Guixin Cao’s research is centered on Condensed Matter Physics – Experiments, with a particular focus on topological quantum materials, strongly correlated electron systems, and topological superconductivity. His expertise includes single crystal growth using advanced techniques such as the optical floating zone method and the flux method. His work contributes significantly to the understanding of quantum materials, superconductors, and electron interactions in novel materials.

🤝 Professional and Synergistic Activities

As an active member of the scientific community, Guixin Cao serves as a reviewer for top-tier journals and participates in leading scientific organizations. Since 2012, he has been an active reviewer for Physical Review Letters and Physical Review B, and since 2008, he has reviewed papers for Solid State Communications. He is also a member of the American Physical Society (APS) and the Materials Research Society (MRS) since 2011, contributing to the advancement of materials research and condensed matter physics.

Notable Publications📄

📄 Distinct skyrmion phases at room temperature in two-dimensional ferromagnet Fe₃GaTe₂

Authors: X. Lv, H. Lv, Y. Huang, Y. Lai, R. Che, et al.
Journal: Nature Communications
Year: 2024

📄 Current-Controllable and Reversible Multi-Resistance-State Based on Domain Wall Number Transition in 2D Ferromagnet Fe₃GeTe₂

Authors: C. Yang, Y. Huang, K. Pei, G. Cao, R. Che, et al.
Journal: Advanced Materials
Year: 2024

📄 Manipulating the Magnetic Bubbles and Topological Hall Effect in 2D Magnet Fe₅GeTe₂

Authors: X. Lv, Y. Huang, K. Pei, Y. Lai, R. Che, et al.
Journal: Advanced Functional Materials
Year: 2024

📄 Giant coercivity induced by perpendicular anisotropy in Mn₂.₄₂Fe₀.₅₈Sn single crystals

Authors: W. Shen, Y. Huang, X. Yao, F. Qi, G. Cao
Journal: Journal of Alloys and Compounds
Year: 2024

📄 Vertical nanoscale strain-induced electronic localization in epitaxial La₂/₃Sr₁/₃MnO₃ films with ZrO₂ nanopillar inclusions

Authors: Y. Gao, M.A. Roldán, L. Qiao, D.J. Singh, G. Cao, et al.
Journal: Nano Convergence
Year: 2023

Dr. Weidong Ji | Quantum Information Science | Best Researcher Award

Doctorate at Harbin Normal University | China

Professional Profile

Scopus

🎓 Educational Background

Weidong Ji, born in May 1978, is a member of the Han ethnic group and a committed member of the Communist Party. He pursued his education with remarkable dedication, beginning with a Bachelor of Science in Industrial Automation at Harbin Institute of Technology (1997-2001). He then obtained a Master’s degree in Control Theory and Control Engineering from the same institute (2001-2004) under the guidance of Gao Zhongwen. His academic journey culminated in a Ph.D. in Mechanical Design and Theory from Northeast Forestry University (2008-2013), supervised by Keqi Wang, and a Postdoctoral fellowship in Forestry Engineering Automation at Northeast Forestry University (2015-2017), mentored by Liping Sun.

🧑‍🏫 Professional Roles and Faculty Positions

Weidong Ji has had a progressive academic career at Harbin Normal University, where he currently serves as a Professor in the College of Computer Science and Information Engineering. He has also held the roles of Associate Professor (2012-2017), Lecturer (2007-2012), and Assistant Professor (2004-2007). Additionally, he is the Associate Dean of Faculty Research and leads the Data Science and Big Data Technology program, showcasing his leadership and expertise in the field of computer science.

💻 Research Interests and Contributions

Weidong Ji’s research spans Artificial Intelligence, knowledge tracing, and complex systems modeling. His contributions to these fields are highly recognized, and he has been a proactive member of various academic committees, including the Intelligent Reasoning and Decision-Making Committee and the Heilongjiang Artificial Intelligence Society.

🌐 Academic Leadership and Memberships

In addition to his faculty roles, he serves as a Director of the Heilongjiang Computer Society and the Heilongjiang Software Society. His active membership in professional societies highlights his commitment to advancing the fields of computer science and artificial intelligence.

Publications Top Noted📚

Quantum Computing Enhanced Knowledge Tracing: Personalized KT Research for Mitigating Data Sparsity

Authors: Bao, C., Wu, Q., Ji, W., Wang, M., Wang, H.

Journal: Journal of King Saud University – Computer and Information Sciences

Year: 2024

BISAP: A Student Academic Performance Prediction Model Based on the Fusion of Classroom Behavior Images and Educational Information

Authors: Feng, C., Liu, J., Wang, J., Ding, Y., Ji, W.

Journal: Education and Information Technologies

Year: 2024

A Study of Progressive Data Flow Knowledge Tracing Based on Reconstructed Attention Mechanism

Authors: Wu, Q., Wang, M., Zhou, G., Ji, W.

Journal: Neural Computing and Applications

Year: 2024

FGSI: Distant Supervision for Relation Extraction Method Based on Fine-Grained Semantic Information

Authors: Sun, C., Ji, W., Zhou, G., Yin, Z., Yue, Y.

Journal: Scientific Reports

Year: 2023

Cross-Domain Few-Shot Learning Based on Pseudo-Siamese Neural Network

Authors: Gong, Y., Yue, Y., Ji, W., Zhou, G.

Journal: Scientific Reports

Year: 2023