CHENGJIE DAI | design | Best Researcher Award

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Dr.CHENGJIE DAI | design | Best Researcher Award

Dr, CHENGJIE DAI,Zhejiang University, China

Dr. Chengjie Dai is a prominent researcher from Zhejiang University, China. His work focuses on computational mechanics, structural optimization, and material design. With numerous publications in top-tier journals, Dr. Dai’s contributions advance the fields of mechanical engineering and computational simulation. He is recognized for innovative research integrating computational methods with practical engineering applications.

Summary:

Dr. Chengjie Dai has a strong educational background, demonstrated research capabilities, and practical experience that collectively position him as a leading candidate for the Research for Best Researcher Award. His focus on neural networks and image processing, along with his successful projects and publications, highlights his potential to influence the field positively.

Professional Profiles:

Scopus

🎓 Education :

Zhejiang University | School of Aeronautics and Astronautics | Ph.D. in Electronic Information
September 2020 – June 2025
Pursuing a Ph.D. in Electronic Information with a focus on neural network-based image compression. My research revolves around developing cutting-edge algorithms for optimizing image processing techniques, particularly within aerospace information technology. Under the guidance of Prof. Guanghua Song at the Institute of Aerospace Information Technology, I have been recognized as an Excellent Graduate Student for my academic achievements and contributions,University of Science and Technology Beijing | School of Mathematics and Physics | Bachelor’s in Mathematics and Applied Mathematics
September 2016 – June 2020,Graduated with a Bachelor’s degree in Mathematics and Applied Mathematics from the University of Science and Technology Beijing. I was actively involved in academic and extracurricular activities, earning honors such as Excellent League Member and two-time recipient of the Third-class Scholarship at USTB. My time here helped shape a strong foundation in mathematical theories and their application in real-world problem-solving

🏢 Experience:

Hikvision Digital Technology Co., Ltd. | Image Algorithm Engineer Intern
June 2024 – August 2024,Worked as an intern in the Video Algorithm and Circuit Department, focusing on codec development. I was involved in designing an H.265 proxy network for video pre-processing, encoding, and post-processing in IoT environments. My responsibilities included simulating the non-differentiable encoding/decoding process using proxy networks for gradient backpropagation, modifying HM source code, and creating algorithms to enhance image quality after encoding. My efforts contributed to significant improvements in intra-frame encoding performance,Smart Biomimetic Flapping-Wing UAV and Hybrid Swarm Intelligence | Compression Algorithm Development
June 2022 – Present,As part of a project focused on UAV technology, I developed a masked feature compression method for backend tasks, significantly reducing file size for small object detection while maintaining accuracy. This involved compressing low-level features extracted by edge devices (drones) using ROI prediction masks,SAIC Foundation | Mobile Edge Computing-Based Vehicle Network Services
February 2021 – October 2022,Led the development of a learnable downsampler–upsampler pair for image resolution scaling, reducing file size by 75% while retaining detection accuracy in mobile edge computing systems

🛠️Skills:

Programming Languages: Proficient in Python, C++, and PyTorch
Technical Proficiencies: Strong command of neural network image compression algorithms, experienced with the CompressAI framework and H.265 video compression standard
Software and Systems: Comfortable working in Linux environments, with proficiency in Git version control
Neural Network Architectures: Familiar with advanced models like Transformers and ResNet
Research Skills: Expertise in reading and analyzing English academic literature, with a focus on image compression and video encoding technologies,Languages: High proficiency in English, demonstrated by a score of 541 on the CET-6

Research Focus :

My research interests lie at the intersection of image compression and computer vision, with a particular focus on improving compression algorithms for high-level vision tasks. This includes image super-resolution, video encoding/decoding, and the development of proxy networks for standard video codecs. Additionally, I have explored applications in areas like satellite remote sensing and mobile edge computing, with projects addressing challenges in small object detection and hierarchical transformer-based image compression

🔬Awards:

Excellent Graduate Student of Zhejiang University
Third-Class Scholarship Recipient (twice) at the University of Science and Technology Beijing,Excellent League Member at the University of Science and Technology Beijing

Conclusion:

In conclusion, Dr. Dai’s combination of academic achievements, innovative research contributions, and industry experience make him a deserving candidate for the Research for Best Researcher Award. With continued focus on outreach, collaboration, and communication, he can further amplify his impact in the field of electronic information and contribute significantly to advancements in image compression and processing technologies.

Publications :

  • Masked Feature Compression for Object Detection
    • Citation: Dai, C., Song, T., Jin, Y., Yang, B., & Song, G.
    • Year: 2024
    • Journal: Mathematics, 12(12), 1848

 

  • ChatLsc: Agents for Live Streaming Commerce
    • Citation: Dai, C., Fang, K., Hua, P., & Chan, W.K.
    • Year: 2024
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics), 14735 LNAI, pp. 360–372

 

  • Optimizing Tutorial Design for Video Card Games Based on Cognitive Load Theory: Measuring Game Complexity
    • Citation: Li, C., Dai, C., & Chan, W.K.
    • Year: 2024
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics), 14730 LNCS, pp. 55–67

 

  • Build Belonging and Trust Proactively: A Humanized Intelligent Streamer Assistant with Personality, Emotion and Memory
    • Citation: Gao, F., Dai, C., Fang, K., Li, J., & Chan, W.K.V.
    • Year: 2024
    • Journal: Communications in Computer and Information Science, 1958 CCIS, pp. 140–147

 

  • Image Resizing for Object Detection: A Learnable Downsampler-Upsampler Pair with Differentiable Image Entropy Estimation
    • Citation: Dai, C., Chen, Q., Xu, J., Song, G., & Yang, B.
    • Year: 2023
    • Journal: International Journal of Pattern Recognition and Computer Aided Design In Mechanical Engineering, 37(8), 2354011

 

  • Intelligent Detection of Disinformation Based on Chronological and Spatial Topologies
    • Citation: Hsu, R.-H., Chen, B.-J., & Dai, C.-J.
    • Year: 2023
    • Journal: 2023 9th International Conference on Applied System Innovation, ICASI 2023, pp. 258–260

 

Mr. Bilal Iqbal Ayubi |design|Best Researcher Award

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Mr. Bilal Iqbal Ayubi |design|Best Researcher Award

Mr. Bilal Iqbal Ayubi,Shandong university, China

Bilal Iqbal Ayubi is a scholar at Shandong University in China, where he is engaged in advanced research. His work is contributing to the field, and he is recognized for his dedication and academic achievements within the university.

Summary:

Mr. Bilal Iqbal Ayubi is a strong candidate for the Best Researcher Award, given his significant contributions to the field of Electrical Engineering, particularly in High-Frequency Insulation and Discharge Mechanisms. His research is well-regarded in the academic community, as evidenced by his publications and the recognition he has received. His expertise in a critical area of study, combined with his collaborative abilities and professional recognition, make him a valuable asset to the field.

Professional Profiles:

🎓 Education :

Bilal Iqbal Ayubi is currently a Doctor of Philosophy candidate in Electrical Engineering at Shandong University, where he is awaiting his dissertation defense. His academic journey also includes a Level 7 Postgraduate Diploma in Electrical Engineering from City & Guilds London. His education has provided a robust foundation in advanced electrical engineering concepts, which he continues to expand through his research endeavors.

🏢 Experience:

Ayubi has an extensive research portfolio, with several publications in prestigious journals. His research includes exploring partial discharge transformation characteristics in polyimide insulations under high-frequency stress, and the mechanisms of atomic oxygen erosion protection for Kapton-type polyimide. He has also contributed to the development of a four-factor lifetime estimation model for polyimide insulations and investigated the suppression of particle movement and discharge using nanocomposite film coatings on DC GIL electrode surfaces. His work has been recognized and published in journals like Polymers, IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, and IET Generation, Transmission & Distribution.

🛠️Skills:

Ayubi’s skill set includes advanced knowledge in high-frequency electrical insulation, partial discharge mechanisms, molecular dynamics simulations, and the application of design of experiment methods. His technical expertise is complemented by his ability to conduct complex research, analyze data, and contribute to the development of innovative solutions in the field of electrical engineering.

🔬Awards and Achievements:

Ayubi’s contributions to the field have earned him recognition, including the Wiley Outstanding Author of the Year award. This distinction highlights his commitment to advancing knowledge in electrical engineering through rigorous research and publication.

Research Focus:

Ayubi’s research primarily centers on High-Frequency Insulation, with a specific focus on Polyimide (PI) materials and Discharge Mechanisms. His work delves into the intricate behavior of polyimide insulations under high-frequency electric stress, contributing valuable insights into the materials’ properties and performance. His studies aim to enhance the reliability and efficiency of electrical insulation systems, particularly in high-frequency applications.

Conclusion:

Mr. Ayubi’s candidacy for the Best Researcher Award is compelling due to his focused research contributions, strong publication record, and professional achievements. While there are areas for potential growth, particularly in expanding his research focus and increasing his leadership roles, his current accomplishments make him a deserving candidate for the award. Recognizing Mr. Ayubi with this award would not only honor his past achievements but also encourage further advancements in his promising career.

Publications :

  • Mechanism Analysis and Potential Applications of Atomic Oxygen Erosion Protection for Kapton-Type Polyimide Based on Molecular Dynamics Simulations
    • Authors: Zhou, S.; Zhang, L.; Zou, L.; Ayubi, B.I.; Wang, Y.
    • Source: Polymers, 2024, 16(12), 1687.

 

  • A Four Factor Lifetime Estimation Model of Polyimide (PI) Insulations Using Full Factorial Design of Experiment Method (DOE)
    • Authors: Ayubi, B.I.; Li, Z.; Shengrui, Z.; Yiwei, W.; Liang, Z.
    • Source: IEEE Transactions on Dielectrics and Electrical Insulation, 2024, 31(2), pp. 844–851.

 

  • Reactive Molecular Dynamics of Atomic Oxygen Bombardment on Polyimide under Electric Field
    • Authors: Zhou, S.; Zhang, L.; Zou, L.; Wang, Y.; Ayubi, B.I.
    • Source: Proceedings of 2024 IEEE 7th International Electrical and Energy Conference (CIEEC), 2024, pp. 1562–1565.

 

  • Fuzzy Logic Approach for Lifetime Estimation of Polyimide (PI) Insulations Used at High-Frequency
    • Authors: Ayubi, B.I.; Li, Z.; Yiwei, W.; Shengrui, Z.; Liang, Z.
    • Source: Lecture Notes in Electrical Engineering, 2024, 1101, pp. 483–492.

 

  • Evolution Characteristics of Surface Discharge along Polyimide under High-Frequency Electric Stress
    • Authors: Ayubi, B.I.; Li, Z.; Huangkuan, X.; Chenlu, F.; Liang, Z.
    • Source: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2023, 38(5), pp. 1177–1189.

 

  • Study on Temperature-Frequency Partial Discharge Characteristics of Polyimide under High Frequency Electrical Stress Based on Improved Variational Modal Decomposition Denoising
    • Authors: Xu, H.; Zhang, L.; Ayubi, B.I.; Zou, L.; Wang, G.
    • Source: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2023, 38(3), pp. 565–576.

 

  • Surface Discharge Characteristics and Influencing Factors of Polyimide Insulations under High-Frequency Sinusoidal Voltages
    • Authors: Ayubi, B.I.; Zhang, L.; Xu, H.; Yan, Q.
    • Source: IET Generation, Transmission and Distribution, 2022, 16(5), pp. 1000–1012.

 

  • Equilibrium Optimizer-Based Variational Mode Decomposition Method for Partial Discharge Denoising
    • Authors: Huangkuan, X.; Xiaohui, Z.; Xu, J.; Ayubi, B.I.; Li, Z.
    • Source: 2022 4th International Conference on Smart Power and Internet Energy Systems (SPIES), 2022, pp. 1289–1294.

 

  • A Multi-physical Field Coupling Model and Analysis of Partial Discharge on PI Insulations under High-frequency Voltages
    • Authors: Iqbal Ayubi, B.; Li, Z.; Huangkuan, X.; Chenlu, F.
    • Source: 2022 4th International Conference on Smart Power and Internet Energy Systems (SPIES), 2022, pp. 69–75.

 

  • Study on the Electrodynamic Behavior of Linear Metal Particles in DC Gas Insulated Transmission Line
    • Authors: Cheng, H.; Wei, W.; Ayubi, B.L.; Sun, Y.; Zhang, L.
    • Source: Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36(24), pp. 5283–5293.