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.

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