Curriculum Vitae

Education

• Ph.D. in Applied Mathematics, Seoul, Korea University (高麗大學/韓國), 2021, Advisor: Prof. Junseok Kim (Prof. Junseok Kim’s Website is https://mathematicians.korea.ac.kr/cfdkim).

Work experience

• 2023.09-present: Assistant Professor
  • Macau University of Science and Technology (澳門科技大學)
  • Faculty of Innovation Engineering
  • School of Computer Science and Engineering
• 2021.12-2023.06: Postdoctoral Researcher
  • Sun Yat-sen University (中山大學)

Funding

• The Science and Technology Development Fund of Macao SAR No. FDCT-24-080-SCSE / 澳門特別行政區科學技術發展基金-科技創新提升計劃 (2024.12-2026.12);
• National Natural Science Foundation of China No. 12201657 / 國家自然科學基金青年科學基金項目 (2023.01-2025.12);
• Macau University of Science and Technology Faculty Research Grant No. FRG-24-026-FIE / 澳門科技大學研究基金項目 (2024.01-2025.01);
• China Postdoctoral Science Foundation No. 2022M713639 / 中國博士後科學基金面上項目 (2022.09-2023.06);
• 2022 International Postdoctoral Exchange Fellowship Program (Talent-Introduction Program) No. YJ20220221 / 2022年度博士後國際交流計劃引進項目 (2022.09-2023.06).

Selected Publications (10 representative works)

• Junxiang Yang, Junseok Kim*, A phase-field model and its efficient numerical method for two-phase flows on arbitrarily curved surfaces in 3D space, Computer Methods in Applied Mechanics and Engineering, Vol. 372, 113382, 2020. IF: 6.588 Q1 (中科院一區top)
• Junxiang Yang, Yibao Li, Junseok Kim*, Totally decoupled implicit-explicit linear scheme with corrected energy dissipation law for the phase-field fluid vesicle model, Computer Methods in Applied Mechanics and Engineering, Vol. 399, 115330, 2022. IF: 6.588 Q1 (中科院一區top)
• Junxiang Yang*, Phase field modeling and computation of multi-component droplet evaporation, Computer Methods in Applied Mechanics and Engineering, Vol. 401, 115675, 2022. IF: 6.588 Q1 (中科院一區top)
• Junxiang Yang, Jingwen Wu, Zhijun Tan*, Phase-field modeling and consistent energy-stable simulation of binary creeping flows in contact with solid, Computer Methods in Applied Mechanics and Engineering, Vol. 414, 116180, 2023. IF: 6.588 Q1 (中科院一區top)
• Junxiang Yang, Junseok Kim*, Phase-field simulation of multiple fluid vesicles with a consistently energy- stable implicit-explicit method, Computer Methods in Applied Mechanics and Engineering, Vol. 417, 116403, 2023. IF: 6.588 Q1 (中科院一區top)
• Junxiang Yang, Yibao Li, Junseok Kim*, A practical finite difference scheme for the Navier-Stokes equation on curved surfaces in R3, Journal of Computational Physics, Vol. 411, 109403, 2020. IF: 4.645 Q1 (中科院一區)
• Junxiang Yang, Zhijun Tan, Junseok Kim*, Linear and fully decoupled scheme for a hydrodynamics coupled phase-field surfactant system based on a multiple auxiliary variables approach, Journal of Computational Physics, Vol. 452, 110909, 2022. IF: 4.645 Q1 (中科院一區)
• Junxiang Yang, Junseok Kim*, Numerical approximation of the square phase-field crystal dynamics on the three-dimensional objects, Journal of Computational Physics, Vol. 471, 111652, 2022. IF: 4.645 Q1 (中科院一區)
• Junxiang Yang, Zhijun Tan, Jian Wang, Junseok Kim*, Modified diffuse interface fluid model and its consistent energy-stable computation in arbitrary domains, Journal of Computational Physics, Vol. 488，112216， 2023. IF: 4.645 Q1 (中科院一區)
• Junxiang Yang, Yibao Li, Junseok Kim*, Modified multi-phase diffuse-interface model for compound droplets in contact with solid, Journal of Computational Physics, Vol. 491, 112345, 2023. IF: 4.645 Q1 (中科院一區)

Teaching at MUST

• Physics
• Professional Ethics and Communication Skills
• Professional Introduction for Computer Science
• Probability and Statistics

Academic Service

Peer Reviewer of SCI journals: Journal of Computational Physics, Communications in Nonlinear Science and Numerical Simulation, Computers and Mathematics with Applications, Applied Numerical Mathematics, Engineering Analysis with Boundary Elements

Research Interests

• Computational fluid algorithms
• Phase-field models and applications
• Simulations of multi-phase fluid flows
• Numerical methods for partial differential equations
• Computational methods in science and engineering
• Image processing and 3D reconstruction