Weidong Ji | Computer Science | Editorial Board Member

Published on 19/11/202519/11/2025 by Top Teachers

Dr. Weidong Ji | Computer Science | Editorial Board Member

Harbin Normal University | China

Dr. Weidong Ji is a distinguished Chinese scholar known for his innovative contributions to artificial intelligence in education, learning analytics, and intelligent recommendation technologies, with a strong research presence reflected across international journals and conferences. His work integrates machine learning, knowledge graphs, deep learning models, and cognitive theories to enhance personalized learning, online education systems, student engagement assessment, and data-driven educational decision-making. With a Scopus record of 39 documents, 102 citations from 100 citing documents, and an h-index of 6, Dr. Ji’s scholarly influence continues to grow as his recent works advance emerging domains such as quantum-constructivism-based knowledge tracing, lightweight human–computer interaction models, and user-preference-driven recommendation algorithms. Google Scholar metrics (if available) would further extend his citation visibility, demonstrating the expanding global use of his models in adaptive learning, course recommendations, and real-time student behavior analysis. He also contributes to the academic community through participation in peer-review processes and editorial activities that support the development of high-quality research in AI-driven educational technology. Dr. Ji’s recent publications showcase cutting-edge computational frameworks such as neural knowledge graph reasoning, lightweight vision models for engagement analytics, and personalized prediction architectures for sparse learning environments. His contributions position him as an emerging leader at the intersection of educational psychology and computational intelligence, emphasizing practical applicability, algorithmic efficiency, and innovative pedagogical design, demonstrating excellence aligned with this award category as an Editorial Board Member.

Publication Profile

Scopus

Featured Publications

Authors unavailable. (2025). Knowledge graph convolutional networks with user preferences for course recommendation. Scientific Reports.
Authors unavailable. (2025). CQSA-KT: Research on personalized knowledge tracing based on quantum-constructivism in sparse learning environments. Knowledge Based Systems.
Authors unavailable. (2025). LightNet: A lightweight head pose estimation model for online education and its application to engagement assessment. Journal of King Saud University Computer and Information Sciences.

Jian-Gang Tang | Computational theory | Distinguished Scientist Award

Published on 11/10/2025 by Top Teachers

Prof. Dr. Jian-Gang Tang | Computational theory | Distinguished Scientist Award

Yili Normal University | China

Academic Background:

Professor Jian-Gang Tang holds dual doctoral degrees, one in Computer Science from the Polish Academy of Sciences and another in Pure Mathematics from Sichuan University. He has developed deep expertise across computability, complexity, computational theories including quantum and DNA computing, algebra, and topology. His scholarly output is extensive, with citations recorded in Scopus and Google Scholar reflecting the impact of his work. According to Scopus, he has a citation count of 38, with 45 documents contributing to his academic profile, resulting in a strong h-index that highlights his influence and the sustained relevance of his research contributions.

Research Focus:

Professor Tang’s research focuses on the interface of computational theory, algebra, and category theory. His work systematically investigates internal group objects, L-set and Ω-set categories, structural enhancement based on group categories, and applications of quasi-Hopf algebras, advancing the understanding of categorical structures in mathematics and their computational implications.

Work Experience:

Professor Tang has held prominent academic positions including Vice President of Yili Normal University, where he cultivated numerous researchers and educators. Post-retirement, he continues to contribute as a professor at Sichuan University Jinjiang College and Kashgar University. His career has been characterized by mentorship and institution-building, reflecting his commitment to nurturing talent and advancing mathematical education at multiple levels.

Key Contributions:

Professor Tang’s foundational work on internal group objects established conditions for completeness and cocompleteness transfer, bridging algebra, topology, and computation. He has made significant advancements in category algebra, lattice-valued structures, and quasi-Hopf algebras. His research has created theoretical frameworks with applications in homotopical algebra and duality theory, and he has mentored a generation of scholars who continue to contribute to these fields.

Awards & Recognition:

Professor Tang is recognized as a national-level expert and has been honored with the Special Government Allowance from the State Council. His work is widely acknowledged for its scholarly rigor and influence, establishing him as a distinguished leader in mathematics and computational theory. His recognition extends through numerous citations and collaborations with international researchers.

Professional Roles & Memberships:

He serves on the editorial boards of multiple international mathematics journals and acts as a reviewer for leading publications. Professor Tang is an active member of professional mathematical societies, contributing to the academic community through collaboration, peer review, and knowledge dissemination.

Profile:

Scopus | Orcid

Featured Publications:

Tang, J., Maihemuti, N., Peng, J., Aisan, Y., & Song, A. (2025). Completeness and cocompleteness transfer for internal group objects with geometric obstructions. Mathematics.

Tang, J., Lin, F., Aishan, Y., Liu, J., & Peng, J. (2025). Research on group type theory and its functorial semantic models in category logic. PLOS One.

Tang, J., Chen, Q. (2025). Weak Hopf algebra structures on hybrid numbers. Symmetry.

Tang, J., Maihemuti, N., Peng, J., & Aisan, Y. (2025). Controlled and assisted cloning of two-, three- and four-qubit states with optimal quantum resources. International Journal of Quantum Information.

Tang, J., Lei, H., & Liu, J. (2025). Limits in D-module categories: Completeness and derived geometric extensions. AIMS Mathematics.

Impact Statement / Vision:

Professor Tang envisions advancing the integration of algebra, topology, and computation to foster innovative mathematical frameworks. Through mentorship, research, and interdisciplinary collaboration, he aims to inspire future generations of mathematicians and expand the boundaries of theoretical and applied mathematics globally.

Sara Dankir | Computer Science | Best Researcher Award

Published on 24/09/202424/09/2024 by Top Teachers

Ms. Sara Dankir | Computer Science | Best Researcher Award

Phd student at University Polytechnic of Catalunya, Spain

Sara Dankir is a PhD student in Engineering Science at the University Polytechnic of Catalonia, with a solid academic foundation in electronic and automatic systems. She completed her MSc in Engineering of Electronic and Automatic Systems and has practical experience through internships and academic projects. Her work spans areas like automation, instrumentation, process improvement, and design of real-time systems, supported by strong technical skills in programming and system modeling.

professional profile

ORCID

Education

Sara Dankir’s educational background is rooted in a strong academic journey that spans across two countries. She is currently pursuing a PhD in Engineering Science at the University Polytechnic of Catalonia in Barcelona, Spain, where she specializes in electronic and automatic systems. Prior to this, she completed her MSc in Engineering of Electronic and Automatic Systems from the National School of Applied Sciences in Tangier, Morocco. During her master’s studies, Sara focused on areas such as digital control, system diagnostics, and the design of real-time systems. She also holds an undergraduate degree in preparatory classes for engineering schools, along with a Mathematics Baccalaureate from High School Mohammadi in Ksar El Kebir, Morocco. Sara’s diverse academic experiences have equipped her with deep technical knowledge and the ability to apply it to both academic and industry-related challenges.

work Experience

Sara Dankir has gained practical experience through a variety of internships and academic projects. At LEAR Corporation, she worked on improving the Total Productive Maintenance (TPM) process in the cutting area, optimizing efficiency and reducing operational costs. During her application internship at SNEP Mohammadia, she played a key role in the automation and instrumentation of the STRIPPING section using Distributed Control Systems (DCS). Additionally, she has been involved in academic projects such as designing and modeling a recycling bin using sensors and Arduino, as well as developing a graphical interface for image and video processing using MATLAB. Her technical expertise also extends to electronic boards programming, FPGA design, and real-time system development. With proficiency in a wide range of programming languages and software tools, Sara’s experience spans both research-driven innovation and real-world engineering applications.

Research Focus

Sara Dankir’s research focuses on the intersection of automation, control systems, and real-time engineering. Her current PhD research at the University Polytechnic of Catalonia delves into the diagnostic and optimization of automatic systems, with an emphasis on state representation and digital control of linear systems. She is particularly interested in the application of hardware description languages such as VHDL and Verilog for FPGA design, aiming to enhance system stability and performance. Sara’s research also explores the use of observer command FDI (Fault Detection and Isolation) techniques to improve the reliability of automated systems. Additionally, she is investigating the development of real-time systems for industrial applications, with the goal of integrating advanced technologies like IoT and AI for automation. Her technical expertise in programming and system design supports her innovative approach to engineering challenges, making her research highly relevant to today’s technological advancements.

Awards and honors

Sara Dankir has earned recognition for her academic and technical contributions throughout her educational journey. During her time at the National School of Applied Sciences, she received accolades for her exceptional performance in engineering projects, particularly in automation and system modeling. Although Sara is early in her academic career, her potential for impactful research and innovation has been acknowledged by her professors and peers. She has also been a recipient of merit-based scholarships that supported her studies in electronic and automatic systems. Sara’s practical work during her internships has received praise from industry professionals, particularly for her contributions to process improvements at LEAR Corporation and automation projects at SNEP Mohammadia. While her formal awards list may be growing, her technical skills and academic dedication position her as a strong candidate for future honors in the field of engineering.

Conclusion

Sara Dankir has an excellent background in engineering science with notable strengths in technical skills, project management, and innovation. However, to stand out as a candidate for the Best Researcher Award, she may need to strengthen her research portfolio through publications and increase her visibility in the international research community. With more focus on research contributions and collaborations, she could become a more competitive candidate for such prestigious recognition.