Xichang Wang | Mathematical Engineering | Research Excellence Award

Published on by Math Scientist

Prof. Xichang Wang | Mathematical Engineering | Research Excellence Award

Director | China Aeronautical Manufacturing Technology Institute | China

Prof. Xichang Wang specializes in welding engineering, metal material standards, and aerospace manufacturing processes. His research focuses on structural modeling of welding process specifications, thermal bonding behavior of titanium alloys, and the development of metal material standards within China’s evolving military–civilian integration framework. He has contributed to key studies on electron beam welding (EBW), thermal self-compressing bonding mechanisms, and material property characterization for aviation and submersible applications. His work integrates materials science, welding technology, and standards engineering, supporting the advancement of high-performance manufacturing in aerospace and defense industries.

Profiles: Scopus | Orcid

Featured Publications

  • Wang, X., Li, G., Zeng, Y., Wang, X., Lyu, X., & Cao, Y. (2025). Research on the structural model of welding process specifications for aviation products based on trade-off design standards. Standards, 5(4), Article 0031. https://doi.org/10.3390/standards5040031
    Year: 2025

  • Wang, X.-C., Wu, Q.-Y., Xu, M., Qi, D.-X., Lu, J., & Teng, C.-Y. (2019). A brief analysis on the development of metal material standards in China under the background of military-civilian integration. Metallurgical Analysis, (Yejin Fenxi), Article 010558. https://doi.org/10.13228/j.boyuan.issn1000-7571.010558
    Year: 2019

  • Deng, Y., Guan, Q., Tao, J., Wu, B., & Wang, X. (2017). Effect of heating time on rigid restraint thermal self-compressing bonding of TC4 alloy. Rare Metal Materials and Engineering.
    Year: 2017

  • Fu, P., Mao, Z., Tang, Z., Li, K., Wang, X., & Zuo, C. (2017). Microstructures and properties of TC4 ELI alloy with horizontal electron beam welding for submersible manned cabin. Applied Ocean Research. https://doi.org/10.1016/j.apor.2017.09.004
    Year: 2017

Vesna Knights | Mathematics in Enginering | Mathematical Engineering Excellence Award

Published on by Math Scientist

Prof. Vesna Knights | Mathematics in Enginering | Mathematical Engineering Excellence Award

Professor | St. Clement of Ohrid University of Bitola | Macedonia

Prof. Vesna Antoska Knights is a Full Professor at the Faculty of Technology and Technical Sciences – Veles, University “St. Kliment Ohridski” – Bitola, Republic of North Macedonia, specializing in applied mathematics, mathematical modelling, statistics, artificial intelligence, and optimization. She holds a Ph.D. in Technical Sciences from the Faculty of Electrical Engineering and Information Technologies, “Ss. Cyril and Methodius University” – Skopje, where her doctoral research focused on robotic system modelling and control. Her academic background includes a Master of Science in Technical Sciences with specialization in numerical simulation of flow and a Bachelor’s degree in Mechanical Engineering. With over two decades of university teaching and research experience, she has served in multiple leadership roles, including Vice Dean for Science and International Cooperation and Head of the Doctoral Studies Council. Dr. Knights has led and participated in numerous international and EU-funded projects, including FP7 ECCEROBOT, COST Action DE-PASS, and national research initiatives on smart agriculture and machine learning applications. Her interdisciplinary research bridges engineering, data science, nutrition, and IoT-based intelligent systems, resulting in 19 indexed publications and significant citations in international journals such as Applied Sciences, Nutrients, and Future Internet. She serves as an Editorial Board Member of Chemistry in Industry (KUI) and is actively engaged in European academic networks. Her recent contributions include advances in AI-based modeling for nutrition, robotic control, and optimization in smart systems. Professor Knights continues to contribute to the scientific community through mentorship, editorial work, and collaborative international research. 62 Citations, 19 Documents, h-index 5.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Knights, V., & Prchkovska, M. (2024). From equations to predictions: Understanding the mathematics and machine learning of multiple linear regression. Journal of Mathematical & Computer Applications, 3(2), 1–8. Citations: 11.

2. Knights, V., & Petrovska, O. (2024). Dynamic modeling and simulation of mobile robot under disturbances and obstacles in an environment. Journal of Applied Mathematics & Computation, 8(1), 59–67. Citations: 7.

3. Knights, V., Petrovska, O., & Gajdoš Kljusurić, J. (2024). Nonlinear dynamics and machine learning for robotic control systems in IoT applications. Future Internet, 16(12), 435. Citations: 7.

4. Knights, V., Kolak, M., Markovikj, G., & Gajdoš Kljusurić, J. (2023). Modeling and optimization with artificial intelligence in nutrition. Applied Sciences, 13(13), 7835. Citations: 27.

5. Antoska-Knights, V., Gacovski, Z., & Deskovski, S. (2017). Obstacles avoidance algorithm for mobile robots using the potential fields method. Universal Journal of Electrical and Electronic Engineering, 5, 75–84. Citations: 11.