Jing Xu | Engineering | Best Scholar Award

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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

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Dr. Jinzhu Shen | Engineering | 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.

Ali Alshamrani | Engineering | Best Researcher Award

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Ali Alshamrani | Engineering | Best Researcher Award

Assistant professor at Taifuniversity, Saudi Arabia.

Dr. Ali M. Alshamrani is an accomplished mechanical engineer with a strong background in both academia and industry. Currently serving as an Assistant Professor at Taif University, his expertise lies in fluid mechanics, oil spill behavior, and renewable energy. His extensive research has led to multiple peer-reviewed publications in reputable journals, focusing on areas such as oil slick contraction and fragmentation, and renewable energy solutions like solar distillation. With a solid foundation in teaching and research, Dr. Alshamrani continues to contribute significantly to the advancement of mechanical engineering.

📚 Profile

Scopus

🎓 Education

Dr. Alshamrani earned his Ph.D. in Mechanical Engineering from the University of South Florida (USF) in 2022, graduating with an impressive GPA of 3.9/4.0. His doctoral studies focused on fluid mechanics, material science, and oil spill behavior. He also completed his M.Eng. at USF in 2018 with a GPA of 3.86/4.0, where he conducted research on material sciences and manufacturing processes. Dr. Alshamrani’s academic journey began with a B.Sc. in Mechanical Engineering from Umm Al Qura University in 2014, where he worked on a vortex tube cooler for his graduation project.

💼 Experience

Dr. Alshamrani’s experience spans both industry and academia. He completed internships at Saudi Aramco and King Abdullah & Al Salam Co., where he gained hands-on experience in refinery operations, aircraft maintenance, and construction projects. In academia, he has held teaching positions, including as a lecturer and lab instructor at Taif University, and as a teaching and research assistant at USF. Currently, as an Assistant Professor at Taif University, he teaches courses on fluid mechanics, heat transfer, and fluid dynamics while continuing his research in mechanical engineering.

🔬 Research Interests

Dr. Alshamrani’s research interests focus on fluid mechanics, oil spill dynamics, and renewable energy systems. His work has explored the contraction and fragmentation of crude oil slicks using chemical herders, an innovative approach to oil spill mitigation. He is also involved in research on the design and performance of wind turbines and solar distillers. His interest in combining mechanical engineering principles with environmental challenges positions him at the forefront of sustainable engineering solutions.

🏆 Awards and Honors

Throughout his academic career, Dr. Alshamrani has consistently demonstrated excellence, reflected in his high GPAs during his graduate studies. His research has been recognized at international conferences, including the American Physical Society’s Division of Fluid Dynamics meetings, where his work on oil spill dynamics was featured. Additionally, his contributions to the study of renewable energy technologies have garnered attention within the academic community, further cementing his reputation as a leading researcher in his field.

🔚 Conclusion

Dr. Ali M. Alshamrani is highly qualified for a Best Researcher Award due to his academic excellence, impactful research contributions, and teaching achievements. His expertise in mechanical engineering, particularly fluid mechanics and oil spill research, combined with his real-world industry experience, makes him a strong contender. Expanding his research scope and fostering international collaboration could further strengthen his candidacy in future awards.

Publications Top Notes 📚

Application of an AI-based optimal control framework in smart buildings using borehole thermal energy storage combined with wastewater heat recovery
Alshamrani, A., Abbas, H.A., Alkhayer, A.G., El-Shafay, A.S., Kassim, M.
Journal of Energy Storage, 2024, 101, 113824
Citations: 0

Insights into water-lubricated transport of heavy and extra-heavy oils: Application of CFD, RSM, and metaheuristic optimized machine learning models
Alsehli, M., Basem, A., Jasim, D.J., Musa, V.A., Maleki, H.
Fuel, 2024, 374, 132431
Citations: 2

Enhancing pyramid solar still performance using suspended v-steps, reflectors, Peltier cooling, forced condensation, and thermal storing materials
Alshamrani, A.
Case Studies in Thermal Engineering, 2024, 61, 105109
Citations: 0

Conceptual design and optimization of integrating renewable energy sources with hydrogen energy storage capabilities
Zhao, Q., Basem, A., Shami, H.O., Ahmed, M., El-Shafay, A.S.
International Journal of Hydrogen Energy, 2024, 79, pp. 1313–1330
Citations: 1

Intelligent computing approach for the bioconvective peristaltic pumping of Powell–Eyring nanofluid: heat and mass transfer analysis
Akbar, Y., Huang, S., Alshamrani, A., Alam, M.M.
Journal of Thermal Analysis and Calorimetry, 2024, 149(15), pp. 8445–8462
Citations: 1

Dimensionless dynamics: Multipeak and envelope solitons in perturbed nonlinear Schrödinger equation with Kerr law nonlinearity
Afsar, H., Peiwei, G., Alshamrani, A., Alam, M.M., Aljohani, A.F.
Physics of Fluids, 2024, 36(6), 067126
Citations: 2

Intelligent computing for the electro-osmotically modulated peristaltic pumping of blood-based nanofluid
Akbar, Y., Çolak, A.B., Huang, S., Alshamrani, A., Alam, M.M.
Numerical Heat Transfer; Part A: Applications, 2024
Citations: 0

Neural network design for non-Newtonian Fe3O4-blood nanofluid flow modulated by electroosmosis and peristalsis
Akbar, Y., Huang, S., Alshamrani, A., Alam, M.M.
Modern Physics Letters B, 2024, 2450394
Citations: 1

Analysis of interfacial heat transfer coefficients in squeeze casting of AA6061 aluminum alloy with H13 steel die: Impact of section thickness on thermal behavior
Khawale, V.R., Alshamrani, A., Palanisamy, S., Sharma, M., Alrasheedi, N.H.
Thermal Science, 2024, 28(1), pp. 223–232
Citations: 0

Investigation of the performance of a double-glazing solar distiller with external condensation and nano-phase change material
Alshamrani, A.
Journal of Energy Storage, 2023, 73, 109075
Citations: 4