Xize Dai | Engineering | Best Academic Researcher Award

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Dr. Xize Dai | Engineering | Best Academic Researcher Award 

Postdoctoral Research Fellow at Unversity of Queensland | Australia

Dr. Xize Dai is a distinguished Postdoctoral Research Fellow at the University of Queensland, Australia, specializing in high-voltage insulation and dielectric physics. His work has centered on advancing the reliability of polymer insulation systems, particularly within renewable energy and power electronics applications. Through extensive research into degradation mechanisms and advanced diagnostic techniques, he has built a strong international reputation in insulation science. Recognized for his academic excellence and technical expertise, he has actively contributed to both experimental studies and theoretical modeling, bridging the gap between material behavior and system-level reliability in modern energy applications.

Profile:

Google Scholar

Education:

Dr. Xize Dai earned his Ph.D. in Energy from Aalborg University, Denmark, where his doctoral research focused on dielectric dynamics and equivalent circuit modeling of polymer insulation under multifrequency stress conditions. He also pursued advanced studies as a visiting researcher at the University of Bologna in Italy, where he refined his expertise in high-field dielectric spectroscopy and partial discharge characterization. Prior to this, he obtained his Master’s degree in Electrical Engineering at Chongqing University, China, with a thesis on thermal degradation of submarine cable insulation, and a Bachelor’s degree in Smart Grid and Information Engineering at Liaoning Technical University.

Experience:

Dr. Xize Dai’s professional experience spans leading research institutions and industry collaborations. He has worked on projects addressing degradation mechanisms, condition monitoring, and modeling of insulation materials for renewable energy applications. His tenure as a visiting researcher at Khalifa University provided exposure to photovoltaic system diagnostics and advanced insulation methodologies. Collaborations with globally recognized experts at Bologna, Oxford, and Khalifa University enriched his expertise in multiphysics modeling and advanced dielectric testing. Additionally, his engagement with IEEE as an active member of the Dielectrics and Electrical Insulation Society reflects his dedication to international research exchange and technical community service.

Research Interests:

Dr. Xize Dai’s research lies at the intersection of dielectric physics, material science, and renewable energy. His interests include investigating high-performance insulation materials for power systems, with a focus on polymeric and heterogeneous composites. He explores aging mechanisms and degradation processes under combined electrical, thermal, mechanical, and environmental stresses. His expertise extends to dielectric and impedance spectroscopy, partial discharge analysis, and multiphysics simulations using finite element methods. By developing advanced equivalent circuit models and health monitoring frameworks, he aims to enhance predictive maintenance and digital twin applications, ensuring greater efficiency, safety, and sustainability in high-voltage energy infrastructure.

Awards and Honors:

Dr. Xize Dai has been recognized with numerous academic honors for his exceptional contributions to high-voltage engineering and insulation research. His work has earned prestigious national scholarships and merit-based academic awards during his Bachelor’s and Master’s studies, reflecting his consistent academic excellence. His Master’s thesis was recognized with an award for outstanding research on insulation aging behavior. He has also received international research funding to support overseas collaborations and has been invited as a session chair, technical committee member, and keynote speaker at international conferences. These honors reflect his global recognition as an emerging leader in his field.

Publications:

Title: Multi-dimensional analysis and correlation mechanism of thermal degradation characteristics of XLPE insulation for extra high voltage submarine cable
Citation: 49
Year of Publication: 2021

Title: Synergistic enhancement effect of moisture and aging on frequency dielectric response of oil-immersed cellulose insulation and its degree of polymerization evaluation using …
Citation: 43
Year of Publication: 2021

Title: Physical mechanism analysis of conductivity and relaxation polarization behavior of oil-paper insulation based on broadband frequency domain spectroscopy
Citation: 36
Year of Publication: 2021

Title: Ageing state identification and analysis of AC 500 kV XLPE submarine cable based on high-voltage frequency dielectric response
Citation: 32
Year of Publication: 2020

Title: High-voltage frequency domain spectroscopy analysis of a thermally aged XLPE submarine cable under continuous and cyclic voltage based on carrier transport and polarisation …
Citation: 18
Year of Publication: 2022

Title: Influence of thermal ageing on high-field polarisation characteristics and conductivity behaviour of submarine polymeric cables insulation
Citation: 17
Year of Publication: 2023

Title: Unraveling High Temperature-Induced Glass Transition Effect on Underlying Multitimescales Dynamic Mechanisms of Epoxy Resin Insulation in Power Electronic Applications
Citation: 3
Year of Publication: 2024

Conclusion:

Dr. Xize Dai has established himself as a highly accomplished researcher at the forefront of electrical insulation and renewable energy studies. Through innovative modeling approaches, advanced diagnostic methods, and impactful collaborations, he has significantly contributed to enhancing the reliability of high-voltage systems. His work directly supports the integration of renewable energy technologies with safer and more efficient insulation materials. Recognized by leading international scholars and organizations, Dr. Xize Dai continues to push the boundaries of dielectric physics and insulation science. His academic rigor, professional service, and global collaborations make him a strong candidate for this award.

Yumeng Su | Engineering | Best Researcher Award

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Mr. Yumeng Su | Engineering | Best Researcher Award

Mr. Yumeng Su at Shanghai Jian Qiao University, China.

Su Yumeng 🎓, a top-ranking computer science undergraduate at Shanghai Jian Qiao University 🇨🇳, excels in AI 🤖, robotics 🚁, and embedded systems 🧠. With hands-on experience in drone development, ROS, and deep learning 💡, he has published impactful research and led award-winning teams 🏆. His technical expertise spans Python, MATLAB, LaTeX, and advanced hardware platforms like Jetson Nano and STM32 💻. Beyond academics, he’s a dynamic leader and athlete 🏀🚴‍♂️, known for his resilience and innovation in intelligent systems and smart hardware applications 🔍. Su’s work bridges theoretical AI with real-world applications 🌐.

Publication Top Notes

ORCID

Suitability for Best Researcher Award – Su Yumeng

Su Yumeng is a highly promising and exceptionally driven early-career researcher whose blend of technical excellence, innovation, and leadership places him as a top contender for the Best Researcher Award. As an undergraduate, his hands-on contributions to AI, robotics, and embedded systems are not only commendable but groundbreaking, particularly for his academic level. He demonstrates a rare ability to translate theory into impactful real-world applications, bridging research with innovation in autonomous systems, drone technology, and intelligent hardware solutions.

🔹 Education & Experience

  • 🎓 B.Sc. in Computer Science & Technology, Shanghai Jian Qiao University (2021–Present)

  • 📍 Focus: AI, Robotics, Embedded Systems, and Smart Hardware

  • 📚 Completed key courses with top grades (AI, Python, Robotics, Microcontroller Principles, etc.)

  • 🚀 ROS training at East China Normal University (Basic & Advanced UAV/Vehicle Tracking)

  • 🛠 Internship at Superdimension Technology Space: Autonomous drone development

  • 🧪 Project collaboration with FAST-Lab at Zhejiang University on UAVs

🔹 Professional Development

Su Yumeng continually advances his professional skills through academic projects 🧪, interdisciplinary competitions 🏆, and real-world UAV applications 🚁. He has mastered the integration of AI models like YOLO with edge computing platforms such as Jetson Nano and Raspberry Pi 💻. His leadership in innovation competitions reflects his capacity to guide teams and deliver impactful solutions 🎯. Su’s deep involvement in research and drone design demonstrates his ability to convert academic concepts into cutting-edge technology 💡. With practical ROS experience and sensor fusion expertise, he remains at the forefront of smart automation and robotics 🌐.

🔹 Research Focus Category

Su Yumeng’s research focuses on Artificial Intelligence in Embedded and Autonomous Systems 🤖, especially in smart robotics and deep learning applications for environmental perception and control 🌍. His work bridges physics-informed neural networks (PINNs) with real-time sensor fusion for drones and robotics 🤝. He explores practical challenges like crack detection in infrastructure using UAVs 🛠️, baby posture recognition on embedded platforms 🍼, and SLAM-based navigation for wheeled robots 🚗. His interdisciplinary approach merges hardware innovation with AI, yielding scalable, intelligent, and responsive systems suitable for civil engineering, healthcare, and autonomous mobility fields 🚀.

🔹 Awards & Honors

  • 🥇 National Second Prize, 17th National College Student Computer Design Competition (2024)

  • 🥉 National Bronze & Shanghai Gold, China Innovation Competition (2024)

  • 🥇 Shanghai Gold Award, Career Planning Competition (2024)

  • 🏅 First Prize, Shanghai College Student Computer Application Competition (2024)

  • 🥈 Shanghai Second Prize, Ti Cup Electronic Design Contest (2023)

  • 🥉 Bronze Award, “Challenge Cup” Entrepreneurship Plan Competition

  • 🥉 Shanghai Third Prize, China Robot & AI Competition (2024)

  • 🎖 National Motivational Scholarship ×3

  • 🎓 President “Qing Yun” Scholarship

  • 🎗 School Special Scholarship

Publication Top Notes

  • “The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV”
    Cited by: 13 | Year: 2020 ​

  • “Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning-Assisted Image Processing Approach”
    Cited by: 20 | Year: 2022

Conclusion

Su Yumeng’s combination of academic excellence, deep technical knowledge, hands-on innovation, and research impact clearly distinguishes him as an ideal recipient of the Best Researcher Award. His contributions as an undergraduate are extraordinary and reflect the potential of a future global leader in AI and robotics research.