Jing Xu | Engineering | Best Scholar Award

Dr. Jing Xu | Engineering | Best Scholar Award 

Lecturer at Shenyang University of Technology | China

Dr. Jing Xu is a distinguished academic and researcher serving as a Lecturer at the School of Mechanical Engineering, Shenyang University of Technology, while also contributing as a Research Assistant at the Key Laboratory of Intelligent Manufacturing and Industrial Robots of Liaoning. With a solid academic foundation in mechanical engineering, he has built a career centered on robotics, automation, and intelligent systems. His dedication to advancing robotics and industrial automation has been demonstrated through impactful research and innovative contributions in motion planning, kinematics, and computer vision. Dr. Jing Xu’s career reflects his commitment to both teaching and pioneering scientific inquiry.

Profile:

Orcid | Google Scholar

Education:

Dr. Jing Xu pursued his Bachelor’s and Master’s studies in Mechanical Engineering at Liaoning Petrochemical University, where he laid a strong foundation in engineering principles, robotics, and automation systems. He further advanced his academic journey by earning a Ph.D. in Mechanical Engineering and Automation from Northeastern University in Shenyang. His doctoral studies deepened his expertise in robotics, particularly focusing on robot kinematics, motion planning, and computer vision. These academic experiences shaped his research trajectory and provided the skills necessary for innovative problem-solving, enabling him to contribute significantly to both theoretical and applied aspects of robotics engineering.

Experience:

Dr. Jing Xu’s professional journey is characterized by a strong integration of teaching, research, and applied innovation. As a Lecturer at Shenyang University of Technology, he imparts knowledge in mechanical engineering and robotics, nurturing the next generation of engineers. Alongside, his role as a Research Assistant at the Key Laboratory of Intelligent Manufacturing and Industrial Robots has allowed him to contribute to high-level projects in intelligent robotics and automation. His research and professional activities bridge theory and practice, enhancing both academic excellence and industrial applications. Dr. Jing Xu’s career reflects his ability to blend research with practical engineering advancements.

Research Interests:

Dr. Jing Xu’s research interests lie at the intersection of robotics, automation, and intelligent systems. His primary focus areas include robot kinematics, motion planning, and computer vision. Within these domains, he has developed advanced methodologies for solving complex robotic challenges such as optimal path planning in high-dimensional and cluttered environments. His contributions also extend to developing efficient algorithms for real-time robotic operations and advancing techniques in robotic perception and defect detection. This research not only contributes to theoretical knowledge but also offers practical solutions for industries utilizing intelligent robotic systems, ensuring precision, adaptability, and reliability in automated environments.

Awards and Honors:

Dr. Jing Xu’s contributions have been recognized through his impactful research and academic endeavors. His publications in high-impact international journals reflect his reputation as a promising scholar in robotics and automation. These works, highly cited by peers, demonstrate his leadership in advancing robotic motion planning and industrial applications. Recognition of his work comes through collaborative projects, peer-reviewed publications, and the adoption of his methodologies in academic and industrial contexts. His teaching excellence and involvement in key laboratories further enhance his professional profile, highlighting his role as a thought leader in intelligent robotics and mechanical engineering research.

Publications:

Title: A review of the wire arc additive manufacturing of metals: properties, defects and quality improvement
Citation: 1581
Year of Publication: 2018

Title: Point-based multi-view stereo network
Citation: 455
Year of Publication: 2019

Title: Status, challenges, and future perspectives of fringe projection profilometry
Citation: 403
Year of Publication: 2020

Title: MSU jumper: A single-motor-actuated miniature steerable jumping robot
Citation: 219
Year of Publication: 2013

Title: Feedback deep deterministic policy gradient with fuzzy reward for robotic multiple peg-in-hole assembly tasks
Citation: 196
Year of Publication: 2018

Title: S4g: Amodal single-view single-shot SE(3) grasp detection in cluttered scenes
Citation: 183
Year of Publication: 2020

Title: Real-time 3D shape inspection system of automotive parts based on structured light pattern
Citation: 144
Year of Publication: 2011

Conclusion:

Dr. Jing Xu is an outstanding researcher and educator whose contributions to robotics, automation, and intelligent systems are both innovative and impactful. His academic journey has equipped him with expertise in motion planning, kinematics, and computer vision, leading to numerous influential publications. Through his dual role as a Lecturer and Research Assistant, he effectively bridges academic research and practical applications, fostering advancements in intelligent robotics. Recognized through citations and collaborative projects, Dr. Xu exemplifies excellence in engineering research and education. His profile strongly supports his nomination for a prestigious award honoring research and innovation.

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.