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.

saber Haghgooye Shafagh | Mechanical Engineering | Best Researcher Award

Mr. saber Haghgooye Shafagh | Mechanical Engineering | Best Researcher Award

Mechanical Engineer at LumenWerx, Canada.

Saber Haghgooye Shafagh is an enthusiastic Mechanical Engineer with expertise in design, manufacturing processes, mechanical drawing, FEA modeling, and quality inspection. He holds a Master of Applied Science in Mechanical Engineering from Concordia University, Canada, with research focused on fabrication of microsystems and conductive polymers. With hands-on experience at LumenWerx, Optical Bio-Microsystem Group, and Iran Khodro Co., he has contributed to mechanical design, composite fabrication, and microfluidic systems. Proficient in SolidWorks, AutoCAD, and CATIA, Saber combines innovation with technical precision, making significant contributions to engineering and manufacturing.

PRofessional Profile:

Google Scholar

Suitability for Best Researcher Award – Saber Haghgooye Shafagh

Saber Haghgooye Shafagh is a highly skilled mechanical engineer and researcher with expertise in mechanical design, materials science, and microfabrication. His work spans electrically conductive polymers, MEMS-based thermal and electrical testing, and microfluidic systems for biomedical applications. With an outstanding academic record (GPA: 4.18/4.3) and a strong industry background at LumenWerx, Optical Bio-Microsystem Group, and Iran Khodro Co., he has significantly contributed to the advancement of engineering and manufacturing technologies. His research integrates FEA modeling, composite fabrication, and piezoelectric energy harvesting, demonstrating his ability to bridge mechanical design and biomedical applications.

Education & Experience 🎓💼

Education 📚

  • Master of Applied Science in Mechanical Engineering – Concordia University, Canada (2019-2023)

    • Research: Microsystem fabrication, 3D modeling, conductive polymers

    • GPA: 4.18/4.3

  • Bachelor of Mechanical Engineering – University of Applied Science and Technology, Iran (2013-2017)

    • GPA: 18.04/20

Experience 🏭

  • Mechanical Design Engineer – LumenWerx, Canada (2024-Present)

  • Mechanical Engineer – Optical Bio-Microsystem Group, Canada (2020-2023)

  • Mechanical Designer – Iran Khodro Co., Iran (2017-2019)

  • Teaching Assistant – Concordia University, Canada (2021-2022)

  • Sales Specialist – IO Solutions, Canada (2021-2024)

Professional Development 🚀

Saber continuously enhances his skills through professional certifications and research. He is SOLIDWORKS Certified (CSWA) and has expertise in AutoCAD, composite material manufacturing, and mechanical testing. His work spans 3D modeling, FEA simulations, and electromagnetics, with contributions to piezoelectric energy harvesting and cancer cell separation modeling. He actively collaborates in design discussions and adapts to industry advancements, ensuring his work aligns with modern engineering and manufacturing standards. With a passion for innovation and problem-solving, he aims to drive technological advancements in the field of mechanical engineering.

Research Focus 🔬

Saber specializes in mechanical design, materials science, and microfabrication. His research explores electrically conductive polymers, MEMS-based thermal and electrical testing, and microfluidic systems for biomedical applications. He has worked on FEA modeling for composite structures, piezoelectric energy harvesting, and aerodynamic simulations. His contributions to cancer cell separation modeling and thermal analysis demonstrate his multidisciplinary approach. With expertise in SolidWorks, MATLAB, and HVAC systems, he bridges the gap between mechanical design and biomedical engineering, creating innovative solutions for energy and healthcare industries.

Awards & Honors 🏆

  • SOLIDWORKS Certified Associate (CSWA) – Udemy (2023) 🏅

  • SOLIDWORKS Sheet Metal Certification – Udemy (2023) 🏅

  • AutoCAD Expert Certification – Udemy (2023) 🏅

  • High GPA (4.18/4.3) in Master’s Program – Concordia University, Canada 🎓

  • Recognized for Research in Electrically Conductive Composites & MEMS 🔬

Publication Top Notes

🔬 Beneficial Effect of Low BN Additive on Densification and Mechanical Properties of Hot-Pressed ZrB₂–SiC Composites – 📑 Synth. Sinter. – 🔢 Cited by: 29 – 📅 2021

🔬 PEDOT:PSS-MWCNT Nanocomposite Wire for Routing in Energy Harvesting Devices

🔬 Synthesis and Sintering