Xize Dai | Engineering | Best Academic Researcher Award

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.

Jinzhu Shen | Engineering | Best Researcher Award

Dr. Jinzhu ShenEngineering | Best Researcher Award 

Doctor at Donghua University | China

Dr. Jinzhu Shen is a dedicated researcher and innovator in fashion design and intelligent manufacturing, focusing on integrating soft robotics and machine vision into textile automation. As a Ph.D. candidate at Donghua University and a visiting researcher at Universidad Politécnica de Madrid, she has established herself as a leading young scholar bridging technology with traditional apparel industries. Her professional experience as an R&D engineer at Rouchu Robotics reflects her applied expertise in developing robotic grippers and autonomous sewing systems. With patents, international conference presentations, and impactful journal publications, she contributes significantly to advancing automation in the fashion and textile field.

Profile:

Orcid

Education:

Dr. Jinzhu Shen’s academic journey is distinguished by progressive specialization in fashion design and technology. She began with a strong foundation at Jiangnan University, completing her bachelor’s and master’s degrees in fashion design, where she engaged in research on robotic applications in garment manufacturing. Currently pursuing her doctoral studies in fashion design at Donghua University, her academic path emphasizes intelligent textile production. She further expanded her global academic engagement as a visiting researcher at Universidad Politécnica de Madrid. This comprehensive educational trajectory demonstrates her commitment to interdisciplinary learning and applying scientific principles to transform fashion and textile industries.

Experience:

Dr. Jinzhu Shen’s professional experience combines academic research with industrial innovation. At Rouchu Robotics, she contributed to developing robotic arms and intelligent sewing systems, pioneering the use of soft robotic fingers for fabric handling. Her work included simulations of gripping forces, experimental validation, and vision-based automation for garment assembly. She has also engaged in significant funded research projects, collaborating with universities and industry partners to design intelligent quilting systems, autonomous sewing solutions, and advanced textile automation methods. Through her roles, she blends theory with practice, producing tangible results in industrial applications and enriching her doctoral research with practical expertise.

Research Interest:

Dr. Jinzhu Shen’s research interests center on digitizing and automating garment production using cutting-edge technologies. Specifically, she explores the integration of soft robotics, artificial intelligence, and machine vision to optimize fabric manipulation, alignment, and sewing. Her studies address challenges in fabric variability, grasping precision, and real-time control within textile processes. By applying intelligent algorithms and robotic systems, Shen seeks to eliminate manual limitations and enhance automation efficiency. Her work not only advances garment manufacturing but also contributes broadly to the fields of intelligent robotics and industrial engineering, offering sustainable and innovative solutions for next-generation smart manufacturing systems.

Awards and Honors:

Dr. Jinzhu Shen’s academic and professional journey, Shen has been recognized with multiple scholarships, merit awards, and research prizes. She received honors for academic excellence during her undergraduate and master’s studies, reflecting her consistent dedication to learning. Her doctoral research has been supported by prestigious scholarships, highlighting her innovation in textile automation. Additionally, she earned recognition for presenting outstanding research at national apparel science and technology conferences, where her work on soft robotics and garment automation was distinguished. These accolades underline her strong scholarly potential, research excellence, and contributions to advancing both theory and industrial practice.

Publications:

Title: Research progress of automatic grasping methods for garment fabrics
Citation: 6
Year of Publications: 2023

Title: Automatic grasping technology and arrangement method for garment cutting pieces
Citation: 2
Year of Publications: 2023

Title: Arrangement of soft fingers for automatic grasping of fabric pieces of garment
Citation: 7
Year of Publications: 2022

Title: Grasping model of fabric cut pieces for robotic soft fingers
Citation: 17
Year of Publications: 2021

Title: Design and ergonomic evaluation of flexible rehabilitation gloves
Citation: 18
Year of Publications: 2020

Conclusion:

Dr. Jinzhu Shen represents an emerging leader in intelligent garment manufacturing and textile automation. Her academic excellence, industrial experience, and global collaborations highlight her as a strong candidate for recognition. Through her pioneering work in soft robotics and intelligent vision systems, she has contributed to bridging traditional craftsmanship with modern digital technologies. Her innovative publications, patents, and awards reflect both scientific merit and real-world impact. Shen’s profile embodies the qualities of a future-oriented researcher who is shaping the transformation of textile engineering and ensuring its sustainable evolution in the age of smart manufacturing.