Safaa Najah Saud Al-Humairi | Optimization | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

Safaa Najah Saud Al-Humairi
Management and Science University, Malaysia

Safaa Najah Saud Al-Humairi
Affiliation Management and Science University
Country Malaysia
Scopus ID 55851376600
Documents 135
Citations 1,993
h-index 27
Subject Area Optimization
Event Math Scientist Awards
ORCID 0000-0001-5978-7651

Safaa Najah Saud Al-Humairi is a researcher affiliated with Management and Science University in Malaysia whose documented scholarly profile is associated with optimization and computationally supported engineering research. The available bibliographic record lists 135 documents, 1,993 citations, and an h-index of 27. These indicators provide a quantitative context for considering the researcher for an Innovative Research Award.

Abstract

This academic recognition profile examines the research record of Safaa Najah Saud Al-Humairi in the context of optimization-oriented scientific work. Recent publications address photovoltaic panel modelling, curved photovoltaic structures, Internet of Things-enabled environmental monitoring, artificial intelligence in materials research, and bioactive nanomaterials. Collectively, these works illustrate interdisciplinary applications of modelling, optimization, computation, and engineering design.

Keywords

  • Optimization
  • Photovoltaic Modelling
  • Computational Techniques
  • Artificial Intelligence
  • Sustainable Energy

Introduction

Optimization research frequently connects mathematical or computational methods with practical engineering objectives. In this profile, the documented publication portfolio includes studies that apply modelling and design approaches to renewable-energy systems and emerging computational applications. The researcher’s Scopus record supplies an additional bibliometric basis for evaluating scholarly activity. [1]

Research Profile

The profile is characterized by 135 indexed documents, 1,993 citations, and an h-index of 27, as supplied for this recognition article. The subject-area designation is Optimization. These bibliometric measures should be interpreted as indicators of publication and citation activity rather than as standalone measures of research quality. [1]

Research Contributions

Recent work demonstrates attention to sustainable photovoltaic engineering. One 2026 study investigates modelling and optimization of curved photovoltaic panels for high-efficiency solar-energy conversion. [2] Another examines a floating curved photovoltaic panel combined with IoT-enabled weather monitoring for river and lake environments. [3] Additional contributions extend toward artificial intelligence and advanced computational techniques in shape memory alloy research, alongside biomedical nanomaterial applications. [4] [5]

Publications

  • Modelling and optimisation of curved photovoltaic panels for high-efficiency solar energy conversion — Next Sustainability, 2026. [2]
  • Design of a Floating Curved Photovoltaic Panel with IoT-Enabled Weather Monitoring for Rivers and Lakes Environments — Al-Khwarizmi Engineering Journal, 2026. [3]
  • The Role of AI and Advanced Computational Techniques in Transforming Shape Memory Alloy Research — book chapter, 2026. [4]
  • Bioactive Nanomaterials: Revolutionizing Biomedical Science — book chapter, 2026. [5]

Research Impact

The supplied bibliometric record indicates substantial scholarly visibility, with 1,993 citations and an h-index of 27. The publication themes also connect optimization with renewable energy, environmental monitoring, computational engineering, and biomedical research. Such cross-domain activity may support knowledge transfer between computational methods and applied scientific problems. [1]

Award Suitability

The documented research profile provides relevant evidence for consideration for the Innovative Research Award at the Math Scientist Awards. Its suitability is supported by an established publication and citation record and by recent research addressing optimization, sustainable photovoltaic technologies, IoT monitoring, and advanced computational methods. Final award decisions remain subject to the applicable evaluation criteria and review process.

Conclusion

Safaa Najah Saud Al-Humairi’s research profile combines optimization-oriented scholarship with applied investigations in renewable energy, computational engineering, and emerging scientific technologies. The supplied Scopus indicators and recent publications provide a structured basis for academic recognition and demonstrate a research trajectory relevant to interdisciplinary innovation.

References

  1. Elsevier. (n.d.). Scopus author details: Safaa Najah Saud Al-Humairi, Author ID 55851376600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55851376600
  2. Elsevier. (2026). Modelling and optimisation of curved photovoltaic panels for high-efficiency solar energy conversion. Next Sustainability.
    https://doi.org/10.1016/j.nxsust.2026.100495
  3. Al-Khwarizmi Engineering Journal. (2026). Design of a Floating Curved Photovoltaic Panel with IoT-Enabled Weather Monitoring for Rivers and Lakes Environments.
    https://doi.org/10.22153/kej.2026.03.002
  4. IGI Global. (2026). The Role of AI and Advanced Computational Techniques in Transforming Shape Memory Alloy Research.
    https://doi.org/10.4018/979-8-3373-6127-7.ch006
  5. Springer. (2026). Bioactive Nanomaterials: Revolutionizing Biomedical Science.
    https://doi.org/10.1007/978-981-96-8023-8_5
  6. ORCID. (n.d.). Safaa Najah Saud Al-Humairi, ORCID iD 0000-0001-5978-7651.
    https://orcid.org/0000-0001-5978-7651
  7. Math Scientist Awards. (n.d.). Math Scientist Awards.
    mathscientists.com

Sina Samadi Gharehveran | Optimization | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

Sina Samadi Gharehveran
Tabriz Islamic Art University, Iran

Sina Samadi Gharehveran
Affiliation Tabriz Islamic Art University
Country Iran
Scopus ID 57741285600
Documents 21
Citations 367
h-index 11
Subject Area Optimization
Event Math Scientist Awards
ORCID 0000-0001-5442-2485

Sina Samadi Gharehveran is a researcher affiliated with Tabriz Islamic Art University, Iran, whose documented research profile is associated with optimization and computational approaches to complex engineering and scientific problems. The researcher has 21 indexed documents, 367 citations, and an h-index of 11, providing a measurable basis for academic recognition. The profile is considered in the context of the Math Scientist Awards.

Abstract

Sina Samadi Gharehveran’s research profile reflects scholarly activity in optimization, with applications extending to electric vehicles, adaptive cybersecurity, intelligent agricultural diagnosis, and predictive construction materials research. Available bibliographic indicators document 21 research documents, 367 citations, and an h-index of 11. Recent publications demonstrate the application of multi-objective optimization, reinforcement learning, active vision, and interpretable machine-learning techniques to multidisciplinary problems.

Keywords

  • Optimization
  • Multi-objective optimization
  • Electric vehicles
  • Reinforcement learning
  • Artificial intelligence
  • Predictive modeling

Introduction

Optimization research addresses the systematic selection of solutions under defined objectives and constraints. In contemporary computational research, optimization increasingly intersects with artificial intelligence and machine learning to address complex, data-intensive systems. Gharehveran’s recent publication record illustrates this multidisciplinary orientation, particularly through work involving multi-objective optimization and intelligent computational methods. [1]

Research Profile

The research profile is associated with 21 documents indexed in Scopus, 367 citations, and an h-index of 11. These indicators provide quantitative evidence of research dissemination and citation influence within the indexed scholarly literature. The primary subject area identified for the researcher is Optimization, while the publication portfolio shows applications across engineering, cybersecurity, agriculture, and materials-related computational research. [2]

Research Contributions

A notable research direction concerns the optimization of battery quantity and arrangement in electric vehicles through multi-objective optimization. This work addresses a practical engineering design problem in which competing performance considerations must be evaluated systematically. [3] Other recent work applies graph-aware reinforcement learning to adaptive advanced persistent threat hunting in dynamic enterprise networks, demonstrating the relevance of intelligent optimization strategies to cybersecurity environments. [4]

Publications

  • Optimization of the Number of Batteries and their Arrangement in Electric Vehicles Based on Multi-Objective Optimization. Passive Defense, 2026. [3]
  • Graph-Aware Reinforcement Learning for Adaptive APT Threat Hunting in Dynamic Enterprise Networks. Technologies, 2026. [4]
  • RAVA: a robust recurrent active vision agent for plant disease diagnosis under severe environmental noise. Scientific Reports, 2026. [5]
  • Interpretable Prediction of Geopolymer Concrete Compressive Strength Using DBO–CatBoost and SHAP Analysis. Buildings, 2026. [6]

Research Impact

The combination of 367 citations and an h-index of 11 indicates an established level of scholarly visibility within indexed literature. The range of application domains represented in the recent publications also suggests a research approach that connects optimization with practical computational problems. Citation indicators should, however, be interpreted alongside publication quality, disciplinary norms, collaboration patterns, and the characteristics of individual research fields. [2]

Award Suitability

The available profile provides a reasonable scholarly basis for consideration for an Innovative Research Award. The evidence includes measurable citation impact, an established h-index, and recent research addressing optimization and intelligent computational methods in several application areas. The award assessment should consider the complete publication record and applicable evaluation criteria in addition to bibliometric indicators. [1]

Conclusion

Sina Samadi Gharehveran’s documented research profile combines optimization-focused scholarship with interdisciplinary applications involving electric vehicles, cybersecurity, plant disease diagnosis, and predictive materials research. With 21 documents, 367 citations, and an h-index of 11, the profile demonstrates measurable academic impact. Recent publications further indicate engagement with contemporary computational methods, supporting consideration for recognition through the Innovative Research Award.

References

  1. Elsevier. (n.d.). Scopus author details: Sina Samadi Gharehveran, Author ID 57741285600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57741285600
  2. Scopus. (n.d.). Author metrics and indexed publication record: Sina Samadi Gharehveran. Elsevier.
  3. Passive Defense. (2026). Optimization of the Number of Batteries and their Arrangement in Electric Vehicles Based on Multi-Objective Optimization.
    https://doi.org/10.47176/pd.2026.1490
  4. MDPI. (2026). Graph-Aware Reinforcement Learning for Adaptive APT Threat Hunting in Dynamic Enterprise Networks. Technologies.
    https://doi.org/10.3390/technologies14100624
  5. Nature Portfolio. (2026). RAVA: a robust recurrent active vision agent for plant disease diagnosis under severe environmental noise. Scientific Reports.
    https://doi.org/10.1038/s41598-026-67160-2
  6. MDPI. (2026). Interpretable Prediction of Geopolymer Concrete Compressive Strength Using DBO–CatBoost and SHAP Analysis. Buildings.
    https://doi.org/10.3390/buildings16163326

Faïçal Ndaïrou | Optimization | Best Researcher Award

Published on by Math Scientist

Dr. Faïçal Ndaïrou | Optimization | Best Researcher Award

Researcher at University of Aveiro | Portugal

Dr. Faïcal Ndaïrou is an accomplished researcher in applied mathematics, fractional calculus, and mathematical epidemiology, recognized for his expertise in optimization theory and infectious disease modeling, with a career that reflects both academic excellence and international research impact. He began his higher education at the African Institute for Mathematical Sciences (AIMS) in Cameroon, where he earned a Master’s in Mathematical Sciences in 2015 with Distinction, focusing on mathematical epidemiology, computational science, and bioinformatics. He went on to complete two doctoral programs that highlight his interdisciplinary strengths: in 2020, he earned a Ph.D. in Water Sustainability and Development from the University of Vigo, Spain, with Outstanding Cum Laude honors, focusing on mathematical modeling of water-related infectious diseases, and in 2022, he completed a Ph.D. in Applied Mathematics at the Universities of Aveiro, Porto, and Minho, Portugal, with Distinction, specializing in optimization subject to fractional dynamics with applications to disease modeling. Professionally, Dr. Ndaïrou has contributed as a researcher at the Center for Research and Development in Mathematics and Applications (CIDMA), Portugal, and more recently as a postdoctoral researcher at the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, supported by the prestigious PIKOM fellowship. His research interests lie in fractional calculus, optimization, computational mathematics, and epidemiological modeling, and his skills include proficiency in Python, R, Matlab, Julia, Maple, Sage, and LaTeX. He has published in leading journals such as Applied Mathematics and Computation, Chaos, Solitons & Fractals, and Mathematics, while serving as Guest Editor and on editorial boards for MDPI Mathematics and Frontiers in Applied Mathematics and Statistics. A recipient of highly competitive scholarships from FCT Portugal, the Bulgarian Ministry of Education, and AIMS Cameroon, Dr. Ndaïrou continues to build a reputation as a rising leader whose research bridges theoretical innovation with urgent societal challenges in health and sustainability.

Profiles: Scopus | Google Scholar | ORCID

Publications

1. Ndaïrou, F., Area, I., Nieto, J. J., & Torres, D. F. M. (2020). Mathematical modeling of COVID-19 transmission dnamics with a case study of Wuhan. Chaos, Solitons & Fractals, 135, 109846. Citations: 885

2. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2021). Fractional model of COVID-19 applied to Galicia, Spain and Portugal. Chaos, Solitons & Fractals, 144, 110652. Citations: 106

3. Area, I., Ndairou, F., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2017). Ebola model and optimal control with vaccination constraints. arXiv preprint arXiv:1703.01368. Citations: 102

4. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2018). Mathematical modeling of Zika disease in pregnant women and newborns with microcephaly in Brazil. Mathematical Methods in the Applied Sciences, 41(18), 8929–8941. Citations: 63

5. Area, I., Losada, J., Ndairou, F., Nieto, J. J., & Tcheutia, D. D. (2017). Mathematical modeling of 2014 Ebola outbreak. Mathematical Methods in the Applied Sciences, 40(17), 6114–6122. Citations: 40

Muhammad Yousaf Iqbal | Optimization | Best Scholar Award

Published on by Math Scientist

Dr. Muhammad Yousaf Iqbal | Optimization | Best Scholar Award

Research Assistant at Zhejiang University of Technology, China

Dr. Muhammad Yousaf Iqbal is a Mechanical Engineer and Postdoctoral Researcher at Zhejiang University of Technology, specializing in vibration-based virtual sensors, RCCI engines, renewable energy systems, and advanced combustion monitoring. He earned his Ph.D. in Mechanical Engineering from Taiyuan University of Technology, with expertise spanning vehicle engineering, automotive design, vibration analysis, and energy regenerative systems. His research portfolio includes projects on hydrogen–diesel RCCI engines, methanol-blended fuels, and regenerative hydraulic electromagnetic shock absorbers, demonstrating a strong link between academic innovation and industrial application. He has authored more than 18 peer-reviewed articles in Q1–Q3 SCI/Scopus indexed journals, co-authored a technical book, and contributed as a reviewer and editorial member with IEEE. With over 230 citations, leadership in international collaborations, and active involvement in student organizations, he continues to advance sustainable automotive and mechanical research globally.

Professional Profile

Google Scholar 

Education

Dr. Muhammad Yousaf Iqbal completed his Ph.D. in Mechanical Engineering from Taiyuan University of Technology, focusing on vibration-based virtual sensors, RCCI engines, and sustainable energy systems. His doctoral research centered on combustion monitoring and virtual sensing technologies to enhance efficiency and reduce emissions in advanced engines. Prior to his Ph.D., he built a strong academic foundation in mechanical and automotive engineering, acquiring expertise in thermodynamics, heat transfer, and mechanical design. His academic training combined rigorous theoretical studies with practical industrial exposure, enabling him to develop advanced problem-solving skills and interdisciplinary knowledge. The breadth of his education reflects a commitment to combining innovation with real-world applications, laying the groundwork for his postdoctoral research at Zhejiang University of Technology and his continuous contributions to mechanical and energy engineering fields.

Experience

Dr. Muhammad Yousaf Iqbal possesses extensive academic, research, and industrial experience, combining over seven years of professional engagement across mechanical and automotive domains. As a Postdoctoral Researcher at Zhejiang University of Technology, he contributes to international collaborations and innovative research projects in vibration analysis, RCCI engines, and regenerative systems. His prior involvement includes doctoral research in advanced combustion systems and hands-on training with Dayun Truck Industry in vehicle design and assembly. He has successfully balanced teaching, mentoring, and supervising student research while actively contributing to the scientific community as a reviewer and editorial board member with IEEE. His experience demonstrates the ability to integrate academic rigor with industrial applications, ensuring impactful outcomes in automotive design, renewable energy solutions, and mechanical engineering innovations with strong global relevance.

Research Interest

Dr. Muhammad Yousaf Iqbal’s research interests span vibration-based virtual sensing, advanced combustion technologies, and sustainable energy systems. He specializes in the optimization of RCCI engines through alternative fuels, including hydrogen, diesel, and methanol blends, aiming to improve efficiency while reducing emissions. His work extends to developing energy regenerative hydraulic electromagnetic shock absorbers that contribute to energy recovery in vehicles, as well as projects involving automotive design, vehicle dynamics, and propulsion systems. He is equally engaged in mechanical design, thermodynamics, heat transfer, and composite materials, ensuring a multidisciplinary approach to innovation. His research bridges the gap between theory and practice, contributing to both academic advancements and industrial solutions. These interests reflect his long-term vision of fostering sustainable technologies for cleaner and more efficient mechanical and automotive engineering applications.

Award and Honor

Dr. Muhammad Yousaf Iqbal has been recognized for his significant contributions to research and innovation through multiple awards and honors. He has published more than 18 peer-reviewed articles in Q1–Q3 SCI/Scopus indexed journals, a recognition of his scientific rigor and dedication to impactful research. His academic achievements are complemented by international collaborations with prestigious research groups, earning him acknowledgment within the global research community. He co-authored a technical book on 3D Mechanical Design, which highlights his dedication to advancing engineering knowledge. His involvement with IEEE as an editorial member further adds to his professional recognition. These distinctions reflect his excellence in research, teaching, and leadership, underscoring his growing influence in mechanical and energy engineering while reinforcing his potential for continued recognition in future academic and professional endeavors.

Research Skill

Dr. Muhammad Yousaf Iqbal demonstrates advanced research skills in mechanical design, vibration analysis, thermodynamics, and combustion monitoring. He is proficient in developing vibration-based virtual sensors, enabling cost-effective real-time monitoring of NOx emissions in diesel and RCCI engines. His expertise includes experimental design, computational modeling, and data analysis for automotive and energy systems. Skilled in working with renewable and alternative fuels, he has contributed to optimizing hydrogen–diesel RCCI engines and investigating methanol fuel blends. He combines theoretical understanding with practical engineering skills, integrating design, manufacturing, and simulation to deliver innovative solutions. His cross-cultural collaboration experience and project management abilities strengthen his role in international research projects. With a strong publication record and editorial contributions, he possesses the technical, analytical, and leadership skills essential for advancing mechanical and automotive research.

Publication Top Notes

  • Title: A double-channel hybrid deep neural network based on CNN and BiLSTM for remaining useful life prediction
    Authors: C Zhao, X Huang, Y Li, M Yousaf Iqbal
    Year: 2020
    Citation: 119

  • Title: A fractional Whitham-Broer-Kaup equation and its possible application to tsunami prevention
    Authors: Y Wang, YF Zhang, ZJ Liu, M Iqbal
    Year: 2017
    Citation: 23

  • Title: A study of advanced efficient hybrid electric vehicles, electric propulsion and energy source
    Authors: MY Iqbal, T Wang, G Li, D Chen, MM Al-Nehari
    Year: 2022
    Citation: 16

  • Title: Development and Validation of a Vibration-Based Virtual Sensor for Real-Time Monitoring NOx Emissions of a Diesel Engine
    Authors: MY Iqbal, T Wang, G Li, S Li, G Hu, T Yang, F Gu, M Al-Nehari
    Year: 2022
    Citation: 15

  • Title: A short review on analytical methods for fractional equations with He’s fractional derivative
    Authors: Y Wang, YF Zhang, JG Liu, M Iqbal
    Year: 2017
    Citation: 15

  • Title: Investigation of accumulator main parameters of hydraulic excitation system
    Authors: Z Wu, Y Xiang, M Li, MY Iqbal, G Xu
    Year: 2019
    Citation: 13

  • Title: Study of external characteristics of hydraulic electromagnetic regenerative shock absorber
    Authors: MY Iqbal, Z Wu, G Xu, SA Bukhari
    Year: 2019
    Citation: 7

  • Title: A High-Efficiency Energy Harvesting by Using Hydraulic Electromagnetic Regenerative Shock Absorber
    Authors: MY Iqbal, Z Wu, W Tie, G Li, J Zhiyong, H GuiCheng
    Year: 2020
    Citation: 6

  • Title: Improving the effect of air chambers on micro-pressure waves from tunnel portals: Moderate underdamping
    Authors: F Liu, H Lei, M Wei, H Sun, MY Iqbal, D Chen
    Year: 2024
    Citation: 5

  • Title: A Triboelectric Piston–Cylinder Assembly with Condition‐Monitoring and Self‐Powering Capabilities
    Authors: G Li, H Wu, R Guo, H Zhang, L Li, MY Iqbal, F Gu
    Year: 2022
    Citation: 4

  • Title: Grinding mechanism of high-temperature nickel-based alloy using FEM-FBM technique
    Authors: M Al-Nehari, G Liang, L Ming, W Yahya, A Algaradi, MY Iqabal
    Year: 2021
    Citation: 4

  • Title: Cavitation Failure Analysis of Cylinder Liner in Diesel Engines Caused by Increased Combustion Pressure
    Authors: P Liu, R Tan, L Li, W Shi, J Chen, MY Iqbal, D Liu, G Li
    Year: 2024
    Citation: 1

  • Title: Combustion Parametric Investigations of Methanol-Based RCCI Internal Combustion Engine and Comparison with the Conventional Dual Fuel Mode
    Authors: MY Iqbal, T Wang, GX Li, W Ali
    Year: 2023
    Citation: 1

  • Title: Performance comparison of switching losses of SiC DMOS vs Si IGBT
    Authors: SA Bukhari, H Zhang, SH Bukhari, MY Iqbal
    Year: 2020
    Citation: 1

  • Title: Impact of Fischer-Tropsch diesel and methanol blended fuel on diesel engine performance
    Authors: Z Wu, T Wang, P Zuo, MY Iqbal
    Year: 2019
    Citation: 1

Conclusion

Dr. Muhammad Yousaf Iqbal stands out as an accomplished researcher whose work bridges academic innovation and industrial application. His expertise in vibration-based virtual sensing, RCCI engine optimization, and regenerative energy systems has contributed to advancements in sustainable automotive engineering. With extensive publications, international collaborations, and leadership in professional organizations, he has established himself as a rising figure in global research. His dedication to mentoring students, engaging in cross-disciplinary projects, and contributing as a reviewer and editorial member reflects both academic excellence and community involvement. Beyond his current achievements, he holds strong potential to lead pioneering projects that shape future technologies in clean energy and advanced mechanical systems. These contributions affirm his suitability for recognition, positioning him as a deserving candidate for prestigious research awards.

 

Binghao OuYang | Optimization | Best Researcher Award

Published on by Math Scientist

Dr. Binghao OuYang | Optimization | Best Researcher Award

Research assistant at City University of Hong Kong, China

Dr. OuYang Binghao (欧阳炳濠) is a promising early-career researcher specializing in game theory and distributed Nash equilibrium seeking algorithms ⚙️📊. Currently pursuing a joint PhD at City University of Hong Kong and University of Science and Technology of China, he holds a strong academic record with a GPA of 3.78/4.3 🎓. His research focuses on fixed-time convergence algorithms for complex control systems, with practical applications in non-cooperative games and Euler-Lagrange systems 🔍🤖. Dr. OuYang has earned several awards, including a gold medal at the National College Student Innovation Competition 🥇 and recognition as an outstanding undergraduate graduate. Skilled in Python, C++, and Matlab, he also applies reinforcement and deep learning techniques to advance his research 💻🧠. With a solid mathematical foundation and innovative approach, Dr. OuYang is a rising talent in control science and engineering, poised to make significant contributions to his field.

Professional Profile 

🎓 Education

Dr. OuYang Binghao (欧阳炳濠) has pursued a rigorous academic path in engineering and control science. He earned his Bachelor’s degree in Automation from the University of Science and Technology of China (USTC) (2016–2020) 🎯, followed by PhD studies in Control Science and Engineering (2020–2022) with a GPA of 3.50/4.3 📚. Currently, he is completing a Joint PhD in Biomedical Engineering and Control Science at City University of Hong Kong and USTC, maintaining an impressive GPA of 3.78/4.3 🏅. Guided by Professors Feng Gang and Wang Yong, his education blends theoretical depth with applied research, equipping him to tackle complex engineering challenges across interdisciplinary domains 🎓🔬.

💼 Professional Experience

Dr. OuYang has demonstrated practical innovation from early in his academic career. In 2020, his excellent undergraduate graduation project involved the development of a fingerprint attendance system 🛠️. Later, in 2021, he participated in the China International College Students Innovation Competition, helping design a motion perception and high-precision positioning system, which won a gold award 🥇. From 2022–2023, he conducted research at City University of Hong Kong focused on distributed Nash equilibrium seeking in non-cooperative games 🤝📈. His hands-on experience bridges theoretical modeling and real-world applications, showcasing a promising blend of technical creativity and research diligence 💡🧪.

🔬 Research Interest

Dr. OuYang’s core research areas include game theory, distributed Nash equilibrium algorithms, and fixed-time convergence strategies for control systems 📐⚙️. He is particularly focused on solving equilibrium-seeking problems in constrained and dynamic non-cooperative games, as well as Euler-Lagrange systems 🔄🧠. With expertise in reinforcement learning, deep learning, and optimization, his work integrates modern computational tools to address long-standing challenges in control science 🚀. His interest in convergence algorithms extends to real-time systems, offering broad applications in autonomous systems, multi-agent robotics, and decentralized networks 🤖🌐. His work is driven by a strong mathematical foundation and a vision for robust and scalable algorithm design 📊🧮.

🏆 Awards and Honors

Dr. OuYang has received multiple honors reflecting both academic excellence and innovation 🏅. He earned the Outstanding Undergraduate Graduate award from USTC in 2020, recognizing his stellar academic performance 🎓. His graduation project was named an Excellent Graduation Project, and he secured First-Class Graduate Scholarships in both 2020 and 2021 💸. In 2021, he won a Gold Award in the National College Student Innovation Competition for his contributions to a motion perception and positioning system 🥇. Earlier, in 2019, he received the Second Prize in the NXP Cup Intelligent Car Competition 🚗. These recognitions affirm his technical competence, creativity, and dedication to impactful research and development.

💼📘Conclusion

Dr. OuYang Binghao stands out as a dynamic and skilled researcher, combining academic excellence with practical innovation 💼📘. With a strong educational background, impactful project work, and research in high-impact areas such as game theory and fixed-time algorithms, he exhibits the qualities of a future leader in engineering and control systems 🧭. His proficiency in programming, AI integration, and control dynamics, along with international research exposure, positions him as a valuable contributor to the global research community 🌍. Dr. OuYang’s trajectory reflects not only promise but also a clear commitment to solving critical real-world problems through mathematics, computation, and collaborative research 🤝🔬..

Publication Top Notes

Title: Vertically Oriented Micron-Thick Perovskite Film Enables Efficient and Stable Inverted Perovskite Solar Cells

Authors: Bing-Hao Lv, Yong-Chun Ye, Jun-Gan Wang, Liu-Jiang Zhang, Yu-Hang Zhang, Ming-Li Zheng, Xian-Min Chen, Hui-Wei Du, Jie Yang, Xin-Yu Zhang, Meng-Lei Xu, Qiu-Feng Ye, Xingyu Gao, Jian-Xin Tang, Yongbing Tang

Year: 2025

Source: Chemical Engineering Journal, Volume 511, Article 161966CoLab

DOI: 10.1016/j.cej.2025.161966

Citation Metrics: