Kangkang Sun | Engineering and Technology | Research Excellence Award

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Dr. Kangkang Sun | Engineering and Technology | Research Excellence Award

Harbin Institute of Technology | China

Kangkang Sun is an accomplished researcher and master supervisor whose work advances security control, intelligent systems, and artificial intelligence for cyber-physical and aerospace applications. With an h-index of 16, over 41 published documents, and more than 3,547 citations, he has built a strong academic record grounded in rigorous research and impactful scholarship. Dr. Sun earned his PhD in Control Science and Engineering and later gained international experience as a visiting scholar at Politecnico di Milano and a research associate at City University of Hong Kong. His academic career includes roles as Assistant Professor and Associate Researcher at the Harbin Institute of Technology and the Ministry of Science and Technology of China. His research focuses on secure control of cyber-physical systems, intelligent and adaptive control, reinforcement learning, deep learning, autonomous spacecraft/robot control, and interpretability in AI. He has published extensively in top-tier IEEE journals, with several papers recognized as ESI highly cited papers. His professional impact is further reflected through editorial board roles, associate editorships, and service in IEEE and IFAC technical committees. A recipient of multiple awards, including recognition among Stanford’s Top 2% Scientists, his work continues to contribute significantly to the fields of control engineering and artificial intelligence.

Profile : Scopus

Featured Publications

Sun, K., Zheng, Q., & Jin, R. (2025). Secure control for spacecraft relative dual quaternion systems with denial-of-service attacks. IEEE Transactions on Aerospace and Electronic Systems.

Sun, K., & Zhang, X. (2024). Security control for cyber-physical systems with optimal dynamic stealthy actuator attacks. IEEE Transactions on Automation Science and Engineering, 22, 8925–8936.

Sun, K., Liu, L., Qiu, J., & Feng, G. (2021). Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems. IEEE Transactions on Fuzzy Systems, 29(4), 786–796.

Sun, K., Mou, S., Qiu, J., Wang, T., & Gao, H. (2019). Adaptive fuzzy control for non-triangular structural stochastic switched nonlinear systems with full state constraints. IEEE Transactions on Fuzzy Systems, 27(8), 1587–1601.

Sun, K., Guo, R., & Qiu, J. (2022). Fuzzy adaptive switching control for stochastic systems with finite-time prescribed performance. IEEE Transactions on Cybernetics, 52(9), 9922–9930.

Yong-Liang Xiong | Engineering and Technology | Excellence in Innovation Award

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Mr. Yong-Liang Xiong | Engineering and Technology | Excellence in Innovation Award

Huazhong university of science and technology | China

Mr.Yongliang Xiong is a distinguished Professor at Huazhong University of Science and Technology, recognized for his impactful contributions to applied mathematics, fluid mechanics, and computational mechanics. He earned his Ph.D. in Applied Mathematics and Scientific Computing from the University of Bordeaux, France, followed by academic appointments that led to his professorship in the School of Aeronautics and Astronautics at HUST. His international experience includes a visiting scholarship at Duke University, strengthening global collaborations and interdisciplinary advancements. Xiong’s notable achievements include developing a multi-physics simulation framework for ignition transients in solid rocket motors, advancing predictive modeling capabilities in aerospace applications. His editorial service for Applied Mathematics and Mechanics and active participation in professional societies highlight his leadership in the field. His research interests encompass CFD, mechanics, high-performance computing, and multi-physics coupling. His continued innovations, scholarly influence, and commitment to advancing scientific knowledge reinforce his standing as a leading researcher driving excellence in computational and aerospace sciences.

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Featured Publications

Duan, J., Xiong, Y., & Yang, D. (2020). Study on the effect of multiple spiral fins for improved phase change process. Applied Thermal Engineering, 169, 114966.

Yang, D., Xiong, Y. L., & Guo, X. F. (2017). Drag reduction of a rapid vehicle in supercavitating flow. International Journal of Naval Architecture and Ocean Engineering, 9(1), 35–44.

Xiong, Y. L., Bruneau, C. H., & Kellay, H. (2013). A numerical study of two-dimensional flows past a bluff body for dilute polymer solutions. Journal of Non-Newtonian Fluid Mechanics, 196, 8–26.

Meuel, T., Xiong, Y. L., Fischer, P., Bruneau, C. H., Bessafi, M., & Kellay, H. (2013). Intensity of vortices: From soap bubbles to hurricanes. Scientific Reports, 3(1), 3455.

Xiong, Y. L., Bruneau, C. H., & Kellay, H. (2010). Drag enhancement and drag reduction in viscoelastic fluid flow around a cylinder. Europhysics Letters, 91(6), 64001.

Lufei Sun | Mathematics | Best Researcher Award

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Mr. Lufei Sun | Mathematics | Best Researcher Award

Guo Hua Life Insurance Co., Ltd | China

Lufei Sun is an emerging professional in actuarial science and insurance analytics, recognized for a growing academic. With solid training from East China Normal University, where she completed both her Bachelor’s and Master’s degrees in Insurance with strong GPAs and multiple merit-based awards, her background blends statistical rigor with practical actuarial expertise. Her experience spans actuarial modeling, product pricing, and risk analysis across major insurance organizations, including Guo Hua Life Insurance, ZhongAn Online P&C Insurance, HSBC Life Insurance, and China Continent Insurance. She has contributed to model management, reserve assessments, IFRS17 testing, reinsurance reporting, product iteration, and asset-liability indicator analysis. Her research interests center on actuarial modeling, insurance product innovation, risk management, and financial statistics. She has demonstrated strong analytical capabilities through pricing UAT case testing, cash-flow monitoring, and product optimization tasks. Recognized with consecutive Outstanding Student Scholarships and multiple honors during her studies, she continues to advance her expertise in insurance analytics and actuarial science. Overall, she represents a new generation of actuarial professionals dedicated to data-driven decision-making and innovative risk solutions.

Profile : Orcid

Featured Publications

Xu, Z., Sun, L., & Yuan, X. (2025). Optimal decision-making for annuity insurance under the perspective of disability risk. Mathematics, 13(20), Article 3290.

Minwoo Park | Superconductivity | Best Researcher Award

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Dr. Minwoo Park | Superconductivity | Best Researcher Award

Post-Doc, University of Seoul, South Korea.

Minwoo Park is a Post-Doctoral Researcher at the University of Seoul, specializing in computational materials science and condensed matter physics. He received his Ph.D. in Physics from Konkuk University, where he studied the Raman effects of few-layer two-dimensional materials using first-principles calculations. His research focuses on energy materials, superconductivity, and quantum materials. He has contributed significantly to the study of 2D materials, quantum spin Hall properties, and lithium-ion battery anode materials. His work has been published in leading journals, such as npj Computational Materials and JACS, with over 950 citations. Minwoo holds a patent for high-capacity anode materials for batteries and has collaborated with experimental teams on various projects, including graphene analysis and superconductivity. He is a member of the Korean Physical Society.

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Education :

Minwoo Park completed his undergraduate and graduate studies in Physics, earning a Ph.D. from Konkuk University, South Korea. His doctoral research focused on the Raman effects of few-layer two-dimensional (2D) materials, where he utilized first-principles calculations to explore their unique properties. This research set the foundation for his career in computational materials science. Currently, as a Post-Doctoral Researcher at the University of Seoul, Minwoo investigates superconductivity in doped SrTiO3 and continues to contribute to the understanding of energy materials and quantum materials. Throughout his education, Minwoo engaged in advanced studies in condensed matter physics, materials science, and quantum physics, combining theoretical models with computational simulations. His rigorous academic training and innovative approach have positioned him as a leader in his field. Additionally, his ongoing post-doctoral work allows him to collaborate with both experimental and theoretical research teams globally, advancing the boundaries of materials science.

Experience :

Minwoo Park’s professional experience spans both academic research and scientific collaborations. After completing his Ph.D., he joined the University of Seoul as a Post-Doctoral Researcher, focusing on the superconductivity of doped SrTiO3. His work integrates computational materials science, condensed matter physics, and quantum physics, producing high-impact research in energy materials and quantum materials. Minwoo’s most notable achievements include publishing in prestigious journals such as npj Computational Materials, JACS, and Advanced Functional Materials, contributing significantly to battery technology and quantum spin Hall systems. His experience also includes working on molecular dynamics simulations, where he analyzed the effects of mechanical stress on graphene ripples. He has provided critical theoretical insights to experimental teams, helping shape the direction of 2D material research. Minwoo holds one patent related to lithium-ion battery anode materials, showcasing his ability to translate scientific innovation into real-world applications. He is actively involved in collaborations, further expanding his research impact.

Research Focus :

Minwoo Park’s research focuses on computational materials science, with an emphasis on condensed matter physics and two-dimensional (2D) materials. His work explores the electronic and structural properties of 2D materials, such as graphene, graphdiyne, and transition metal dichalcogenides. He has made significant contributions to the study of novel anode materials for lithium-ion batteries and the design of quantum materials with spintronic properties, such as quantum spin Hall insulators. Minwoo’s research has advanced the understanding of electron-phonon coupling in superconducting materials, particularly doped SrTiO3. By using first-principles calculations and molecular dynamics simulations, he investigates how different material properties can be tailored for energy storage, quantum devices, and nanotechnology applications. His contributions to the field of computational materials science aim to bridge the gap between theory and practical applications, making his research crucial for the development of future energy technologies and advanced quantum materials.

Publications Titles :

  1. Multilayer graphynes for lithium ion battery anode ⚡🔋
  2. 2D transition metal dichalcogenide heterostructures for p‐and n‐type photovoltaic self‐powered gas sensor ☀️🔬
  3. Graphdiyne as a high-capacity lithium ion battery anode material ⚡🔋
  4. Molecular-level understanding of continuous growth from iron-oxo clusters to iron oxide nanoparticles 🧪🔬
  5. Widely tunable band gaps of graphdiyne: an ab initio study 🧑‍🔬📊
  6. Raman spectra shift of few-layer IV-VI 2D materials 📈🎶
  7. Exotic geometrical and electronic properties in hydrogenated graphyne 💡⚛️
  8. High-throughput screening of metal-porphyrin-like graphenes for selective capture of carbon dioxide 🌍🔬
  9. Doping effect in graphene-graphene oxide interlayer ⚙️💨
  10. Design of 2D massless Dirac fermion systems and quantum spin Hall insulators based on sp–sp2 carbon sheets 🧑‍🔬✨
  11. Configuration of ripple domains and their topological defects formed under local mechanical stress on hexagonal monolayer graphene 🌀🌍
  12. Fe–Porphyrin-like nanostructures for selective ammonia capture under humid conditions 💨⚗️
  13. Gated MoSi2N4 monolayer as a highly efficient nanosensor towards selected common pollutants 🌿🧪
  14. sp–sp2 Carbon Sheets as Promising Anode Materials for Na-Ion Batteries ⚡🔋
  15. Carbyne bundles for a lithium-ion-battery anode ⚡🔋
  16. Improved Transport of Adenosine Incorporated in Lipid Nanoparticles across Reconstructed Human Epidermis 💉👨‍🔬
  17. Efficient detection of specific volatile organic compounds associated with COVID-19 using CrX2 (X= Se, Te) monolayers 🦠💨
  18. Wedge energy bands of monolayer black phosphorus: a first-principles study 🧑‍🔬⚛️
  19. Corrigendum: High-throughput screening of metal-porphyrin-like graphenes for selective capture of carbon dioxide 🌍🔬
  20. Vertical Dielectric of Conducting Functionalized Few-Layer MoS2 🔬💡