Shangjun Ma | Structural Health Monitoring | Best Researcher Award

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Prof. Shangjun Ma | Structural Health Monitoring | Best Researcher Award

Laboratory director,Northwestern Polytechnical University, China

Shang-Jun Ma is a researcher at Northwestern Polytechnical University, China. Born in 1980, he has made significant contributions to the field of electromechanical actuators and planetary roller screw mechanisms. With over 100 academic papers and 35 invention patents, he is a leading expert in his field.

Profile

scopus

Education 🎓

Shang-Jun Ma received his Ph.D. degree from Northwestern Polytechnical University, China, in 2013. His academic background has provided a solid foundation for his research and professional endeavors.

Experience 🧪

Shang-Jun Ma is currently a researcher at Northwestern Polytechnical University, China. He has undertaken more than 20 national projects, demonstrating his expertise and commitment to his field.

Awards & Honors �

Shang-Jun Ma has won one provincial second prize for technological invention. He has also published the first monograph on “planetary roller screw meshing principle” in the world, showcasing his leadership in his field.

Research Focus 🔍

Electromechanical Actuator (EMA): Investigating the design, development, and application of EMA systems. Planetary Roller Screw Mechanism (PRSM): Exploring the principles, design, and application of PRSM systems.

Publications📚

1. Design and Development of Electromechanical Actuators for Aerospace Applications” 🚀
2. “Planetary Roller Screw Meshing Principle: A Comprehensive Review” 📚
3. “Investigation of PRSM Systems for Industrial Automation” 🤖
4. “Optimization of EMA Systems for Energy Efficiency” 💡
5. “Experimental Study on the Performance of PRSM Systems” 🔧

Conclusion 🏆

Shang-Jun Ma’s impressive academic and research experience, research output, national and international recognition, and interdisciplinary research approach make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Arman Hajiha | Retrofitting of structures | Best Researcher Award

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Mr. Arman Hajiha | Retrofitting of structures | Best Researcher Award

PhD candidate,Politecnico di Torino, Italy

Arman Hajiha is a civil engineer and researcher with a strong passion for structural analysis and design. Born in Tehran, Iran, he has pursued his academic and professional career in Iran and Italy. With a solid educational background and research experience, Arman aims to contribute to the advancement of civil engineering and structural analysis. 🌉

Profile

orcid

Education🎓

Arman Hajiha holds a BSc in Civil Engineering from Islamic Azad University (2009-2014) and an MSc in Civil Engineering – Structure from Science and Culture University (2016-2018). He is currently pursuing his second MSc in Civil Engineering – Structural Analyses at Politecnico di Torino, Italy. His research focuses on composite truss joints and strengthening techniques. 📚

Experience 💼

Arman Hajiha has worked as a Structural Design Engineer at P-Delta Company (2015-2016) and as a Physics instructor at Aspiyan Group Company (2020-present). He has also been an individual trainer in Physics and Mathematics for over 10 years. Additionally, he has been involved in various research projects, including the analysis of composite truss joints and the development of strengthening techniques. 🌆

Awards & Honors  🏆

Arman Hajiha has received several awards and honors, including the Top Ranked Student in MSc and the Highest Possible Score in Thesis. He was also the Winner of the Best Calculation Handbook in the 5th Iran National Steel Bridge Competition and the Runner-up in the Most Economic Structure Design and the Most Efficient Structure Design categories. 🎉

Research Focus  🔬

Arman Hajiha’s research focus lies in the field of structural analysis and design, particularly in the analysis of composite truss joints and the development of strengthening techniques. His research aims to improve the safety and efficiency of structural systems, with a focus on innovative materials and techniques. 🌈

Publications

1. Retrofitting of a steel truss joint by creating composite connections and PTMSs (post-tensioned metal straps) 🌉
2. Steel Bridges strengthening with composite joints and Post-Tensioned Metal Strap 🌊
3. Zoning, Sampling and Trip Distribution Analysis Data-Driven Transport Planning in Madison Metropolitan Area (case study) 🚗
4. Influence of Varied Subgrade Resilient Modulus on the Structural Design of Airport Runways ✈️
5. Trip Generation and Distribution model in Transport Planning of Madison Metropolitan Area (Case Study) 🚌

Conclusion

Arman Hajiha’s impressive educational background, research experience, and practical skills make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his dedication to advancing knowledge and making a positive impact in his field.

Jinxia Zhang | Defect detection | Best Researcher Award

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Assoc Prof Dr. Jinxia Zhang | Defect detection | Best Researcher Award

 Associate Professor at Southeast University, China

Assoc Prof Dr. Jinxia Zhang is an Associate Professor at Southeast University, Nanjing, China, specializing in saliency detection, visual attention, computer vision, and deep learning. With a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology, he has extensive experience in artificial intelligence research. His journey includes time as a visiting scholar at Harvard Medical School and numerous prestigious research projects funded by national foundations. Assoc Prof Dr. Jinxia Zhang leads key AI initiatives, driving innovations in multimodal understanding, defect analysis, and object detection. His academic and professional contributions have positioned him as a prominent researcher in visual computing and AI.

Publication Profile

scholar

Education 🎓

Assoc Prof Dr. Jinxia Zhang  earned his M.Sc. and Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology in 2015. His doctoral research laid a foundation for his interest in artificial intelligence, particularly in areas like visual attention and computer vision. Prior to his postgraduate work, he completed his B.Sc. in Computer Science and Technology at the same institution in 2009, where he developed a solid understanding of computational theories and applications. His education has provided him with both theoretical knowledge and practical skills that are central to his current research on AI and deep learning.Assoc Prof Dr. Jinxia Zhang  is currently an Associate Professor at Southeast University, Nanjing, a role he has held since 2019. From 2016 to 2019, he served as a Lecturer at the same university, where he significantly contributed to AI teaching and research. His early career included a prestigious stint as a Visiting Scholar at Harvard Medical School, USA, between 2012 and 2014, where he collaborated on cutting-edge AI-driven healthcare projects. His international exposure and academic roles have enriched his teaching and research, particularly in computer vision and AI, making him a key figure in the field.

Awards and Honors  🏆

Assoc Prof Dr. Jinxia Zhang  has received numerous accolades for his research excellence and contributions to the field of AI. He was awarded the National Natural Science Foundation of China grant in 2018 for his project on salient object detection. In 2017, he secured the Jiangsu Natural Science Foundation Grant for his innovative research on visual cognitive characteristics. Additionally, his work in defect diagnosis for photovoltaic modules was recognized as part of the National Key Research and Development Plan. These prestigious awards underscore his pioneering contributions in artificial intelligence and computer vision research.

Research Focus  🔬

Assoc Prof Dr. Jinxia Zhang ‘s research focuses on the intersection of visual attention, saliency detection, and deep learning within artificial intelligence. He leads projects on multimodal understanding and e-commerce applications, and is a Principal Investigator for research into AI-based fruit and vegetable recognition. His earlier work in defect diagnosis for photovoltaic modules and salient object detection in complex scenes has been supported by prominent grants. His innovative approach combines perceptual grouping and visual attention to develop cutting-edge solutions in computer vision, making significant advancements in how machines perceive and interact with visual data.

Conclusion

The candidate demonstrates an impressive body of work across several domains of artificial intelligence, particularly in salient object detection, visual cognition, and multimodal learning. Their academic achievements, project leadership, and dedication to advancing AI make them a strong contender for the Best Researcher Award. By continuing to broaden their industry collaborations and expanding the scope of their research impact, they can become a globally recognized leader in AI and computer vision.

Publication  Top Notes

  • Towards the Quantitative Evaluation of Visual Attention Models (2015)
    • Citation: 75
    • Journal: Vision Research
    • Key Contributors: Z. Bylinskii, E.M. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, J.K. Tsotsos
    • Highlights: Focuses on quantitative approaches to evaluate visual attention models, essential for improving saliency detection.
  • A Novel Graph-Based Optimization Framework for Salient Object Detection (2017)
    • Citation: 63
    • Journal: Pattern Recognition
    • Key Contributors: J. Zhang, K.A. Ehinger, H. Wei, K. Zhang, J. Yang
    • Highlights: Presents a new graph-based optimization method for enhancing the accuracy of salient object detection.
  • Salient Object Detection by Fusing Local and Global Contexts (2020)
    • Citation: 60
    • Journal: IEEE Transactions on Multimedia
    • Key Contributors: Q. Ren, S. Lu, J. Zhang, R. Hu
    • Highlights: This paper integrates both local and global visual contexts to refine salient object detection in multimedia applications.
  • Inter-Hour Direct Normal Irradiance Forecast with Multiple Data Types and Time-Series (2019)
    • Citation: 36
    • Journal: Journal of Modern Power Systems and Clean Energy
    • Key Contributors: T. Zhu, H. Zhou, H. Wei, X. Zhao, K. Zhang, J. Zhang
    • Highlights: Introduces a time-series forecasting model for direct normal irradiance, benefiting renewable energy systems.
  • Winter is Coming: How Humans Forage in a Temporally Structured Environment (2015)
    • Citation: 35
    • Journal: Journal of Vision
    • Key Contributors: D. Fougnie, S.M. Cormiea, J. Zhang, G.A. Alvarez, J.M. Wolfe
    • Highlights: Examines human visual foraging behavior in dynamically changing environments.
  • Domain Adaptation for Epileptic EEG Classification Using Adversarial Learning and Riemannian Manifold (2022)
    • Citation: 25
    • Journal: Biomedical Signal Processing and Control
    • Key Contributors: P. Peng, L. Xie, K. Zhang, J. Zhang, L. Yang, H. Wei
    • Highlights: This paper explores domain adaptation techniques to improve epileptic EEG classification through adversarial learning.
  • A Lightweight Network for Photovoltaic Cell Defect Detection in Electroluminescence Images (2024)
    • Citation: 23
    • Journal: Applied Energy
    • Key Contributors: J. Zhang, X. Chen, H. Wei, K. Zhang
    • Highlights: Develops a lightweight neural network for detecting defects in photovoltaic cells using knowledge distillation.
  • Salient Object Detection via Deformed Smoothness Constraint (2018)
    • Citation: 21
    • Journal: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: X. Wu, X. Ma, J. Zhang, A. Wang, Z. Jin
    • Highlights: Proposes a deformed smoothness constraint approach for improving salient object detection.
  • Character Recognition via a Compact Convolutional Neural Network (2017)
    • Citation: 20
    • Conference: International Conference on Digital Image Computing
    • Key Contributors: H. Zhao, Y. Hu, J. Zhang
    • Highlights: Develops a compact CNN for robust character recognition in natural scene images.
  • A Prior-Based Graph for Salient Object Detection (2014)
    • Citation: 23
    • Conference: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: J. Zhang, K.A. Ehinger, J. Ding, J. Yang
    • Highlights: Uses a prior-based graph model to enhance the performance of salient object detection algorithms.

Jingfei Yin | high performance machining | Best Researcher Award

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Assoc Dr.  Nanjing university of Aeronautics and Astronautics, china

Dr. Jingfei Yin is an Associate Professor at Nanjing University of Aeronautics and Astronautics with a Ph.D. from Dalian University of Technology. His research focuses on high-efficiency and precision machining of hard-to-machine materials, high-speed machining, and laser detection of subsurface damage. He has led or participated in over 10 national and provincial projects, published more than 20 academic papers, holds six patents, and has over 10 patents in progress. Dr. Yin is an editorial member of several high-impact journals and a senior member of the Chinese Mechanical Engineering Society. He is recognized for his pioneering work in ultrasonic-assisted drilling and subsurface damage detection.

 

Professional Profiles:

Scopus

🎓 Academic and Professional Background

Dr. Jingfei Yin earned his PhD from Dalian University of Technology, under the supervision of Prof. Bi Zhang (CIRP Fellow). Currently, he serves as an Associate Professor at Nanjing University of Aeronautics and Astronautics. His research spans high-efficiency and precision machining of hard-to-machine materials, high-speed machining, and laser detection of subsurface damage. He has led or contributed to over 10 national and provincial projects, including those funded by the National Natural Science Foundation and the National Sci. & Tech. Major Project. Dr. Yin has published over 20 academic papers and is an invited reviewer for several high-level journals.

🚀 Research and Innovations:

🛠 Completed/Ongoing Research Projects:Completed three projects funded by the China Postdoctoral Foundation and Jiangsu Province Postdoctoral Foundation.Currently managing five ongoing projects from the National Natural Science Foundation of China, The Science Center for Gas Turbine, and Nanjing University of Aeronautics and Astronautics.📊 Citation Index: 12🏗 Consultancy/Industry Projects: Two industry projects.📚 Books Published (ISBN): None.🔑 Patents Published/Under Process:Published six patents with more than 10 patents under process.📝 Journals Published (SCI, Scopus, etc.): Over 20 articles.

📰 Editorial Appointments:

Early editorial member of the International Journal of Hydromechatronics (JIF: 5.3), Nanotechnology and Precision Engineering (JIF: 3.5), and two other Chinese journals (SCIE indexed).

🎓 Professional Memberships:

Senior member of the Chinese Mechanical Engineering Society and a member of the Chinese Society of Aeronautics and Astronautics.

🔬 Areas of Research:

High-efficiency and precision machining of hard-to-machine materials, high-speed machining, and laser detection of subsurface damage.

🌟 Contributions

Pioneered the mechanical machining of high-frequency ultrasonic-assisted drilling, making submillimeter holes in superhard ceramic matrix composites. Efficiency is elevated up to 10 times compared to current laser machining.Discovered the “skin effect” of subsurface damage distribution in materials subjected to high-speed machining, where damage depth decreases with increasing machining speed.Developed a novel non-destructive method of polarized laser scattering for detecting subsurface damage in materials with a sensitivity as high as 0.1 μm in depth, using electromagnetic scattering theory to clarify the interaction between laser polarization and subsurface damages.

✍️ Self-Declaration:

I authenticate that to the best of my knowledge, the information given in this form is correct and complete. If at any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

Dr. Jingfei Yin’s Research for the Best Researcher Award

Strengths for the Award:

  1. Innovative Research Contributions: Dr. Jingfei Yin has made significant contributions to the field of precision machining, particularly in the high-efficiency machining of hard-to-machine materials. His work on high-frequency ultrasonic-assisted drilling, which improves the efficiency of creating submillimeter holes in ceramic matrix composites by tenfold compared to current laser machining methods, is groundbreaking. This demonstrates his ability to push the boundaries of existing technologies.
  2. Expertise in Subsurface Damage Detection: Dr. Yin’s research on the “skin effect” of subsurface damage distribution in high-speed machining and the interaction between laser polarization and subsurface damage highlights his deep understanding of the intricate processes involved in machining. His development of a novel non-destructive method for detecting subsurface damage with high sensitivity is a testament to his innovative approach to solving complex problems in material science.
  3. Leadership in National and Provincial Projects: Dr. Yin has successfully led and participated in more than ten national and provincial research projects, including those funded by the National Natural Science Foundation and the National Science & Technology Major Project. His leadership in these projects underlines his capability to manage large-scale research initiatives and contribute valuable insights to the field.
  4. Scholarly Contributions: With over 20 academic papers published in reputable journals and six patents already published, Dr. Yin’s scholarly output is commendable. His work is recognized and cited by peers, as indicated by his citation index of 12, further affirming his influence in the field of precision machining.
  5. Editorial and Peer-Review Roles: Serving as an editorial member for international journals like the International Journal of Hydromechatronics and Nanotechnology and Precision Engineering, Dr. Yin is well-respected in the academic community. His role in these journals showcases his expertise and his commitment to advancing research in his areas of specialization.

Areas for Improvement:

  1. Collaborations: While Dr. Yin has demonstrated substantial individual achievements, expanding his collaborative efforts, both nationally and internationally, could further enhance his research impact. Engaging in interdisciplinary collaborations or partnerships with industry could open new avenues for research and practical applications of his work.
  2. Publication in High-Impact Journals: Although Dr. Yin has published extensively, further increasing the number of publications in higher-impact journals would bolster his academic profile. Targeting top-tier journals in the fields of material science and precision engineering could help in gaining wider recognition for his work.
  3. Expansion of Research Areas: Dr. Yin’s current research focus is highly specialized, which is a strength, but expanding into related areas such as smart manufacturing, additive manufacturing, or automation in machining could diversify his research portfolio and potentially lead to more groundbreaking discoveries.

 

✍️Publications Top Note :

High-Performance Grinding of Ceramic Matrix Composites

Journal: Nanotechnology and Precision Engineering

Year: 2024

Citations: 0

Machinability of Submillimeter Holes in Ceramic Matrix Composites by High-Frequency Ultrasonic Vibration-Assisted Drilling

Journal: Journal of Materials Processing Technology

Year: 2024

Citations: 1

Experimental Study of Single Grain Grinding for SiCf/SiC Ceramic Matrix Composites

Journal: Zhongguo Jixie Gongcheng/China Mechanical Engineering

Year: 2022

Citations: 4

Rational Discussion on Material Removal Mechanisms and Machining Damage of Hard and Brittle Materials

Journal: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Year: 2022

Citations: 5

Feasibility of Polarized Laser Scattering in Detecting the Grinding-Induced Subsurface Damage in SiCf/SiC Ceramic Matrix Composite

Journal: Composite Structures

Year: 2022

Citations: 8

Sensitivity of Polarized Laser Scattering Detection to Subsurface Damage in Ground Silicon Wafers

Journal: Materials Science in Semiconductor Processing

Year: 2022

Citations: 2

Influence of Alumina Abrasive Tool Wear on Ground Surface Characteristics and Corrosion Properties of K444 Nickel-Based Superalloy

Journal: Chinese Journal of Aeronautics

Year: 2022

Citations: 10

Generation Mechanism Modeling of Surface Topography in Tangential Ultrasonic Vibration-Assisted Grinding with Green Silicon Carbide Abrasive Wheel

Journal: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Year: 2022

Citations: 10

Edge Chipping Characteristics in Grinding SiCf/SiC Composite

Journal: Ceramics International

Year: 2022

Citations: 15

Depolarization of Surface Scattering in Polarized Laser Scattering Detection for Machined Silicon Wafers

Journal: Precision Engineering

Year: 2022

Citations: 7

Conclusion:

Dr. Jingfei Yin is a highly qualified candidate for the Best Researcher Award. His innovative contributions to the field of high-performance and precision machining, particularly his pioneering work on ultrasonic-assisted drilling and subsurface damage detection, position him as a leader in his field. While there are opportunities for expanding his collaborative efforts and diversifying his research areas, his existing accomplishments make him a strong contender for the award. His research not only advances the scientific understanding of machining processes but also has practical implications for improving efficiency and quality in manufacturing.

Omer SaidToker | Mechanics of Functional Materials and Structures | Best Researcher Award

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Assoc Prof Dr Omer  SaidToker; Leading Researcher in Mechanics of Functional Materials and Structures

Associate Professor Dr. Omer Said Toker is a highly respected faculty member at Yildiz Technical University. With a strong background in his field and a dedication to academic excellence, Dr. Toker has made significant contributions to the university’s academic and research endeavors. His expertise lies in [insert specific field or specialization], where he has demonstrated exceptional knowledge and skill. Dr. Toker is known for his passion for teaching and his ability to inspire and mentor students. His research interests and contributions have earned him recognition in the academic community, making him a valuable asset to Yildiz Technical University.

Professional Profiles:

Education:

Dr. Omer Said Toker is an Associate Professor at Yildiz Technical University, known for his expertise in [insert specific field or specialization]. He has made significant contributions to the university’s academic and research endeavors, earning recognition in the academic community. Dr. Toker is dedicated to fostering a stimulating learning environment and is passionate about mentoring students. His academic journey includes a Doctorate from Namık Kemal Üniversitesi, Mühendislik Fakültesi, Gıda Mühendisliği Bölümü, Turkey, from 2012 to 2016, a Postgraduate degree from Erciyes University, Mühendislik Fakültesi, Gıda Mühendisliği Bölümü, Turkey, from 2009 to 2012, and an Undergraduate degree from Middle East Technical University, Faculty of Engineering, Department of Food Engineering, Turkey, from 2003 to 2008.

Courses and Trainings:

  Education Management and Planning ,ReolojiEğitimi, AntonPaar, 2014

Research Interest:

FoodEngineering, FoodTechnology, Sugars,Syrups, Starches andCandy, Cocoa and ChocolateProducts

Award and Honor:

KaradağA., MetinYıldırımR., TokerÖ.S., 2024-EşikÜstüÖdülü, Tübitak,May2019

Academic Titles / Tasks:

AssociateProfessor, YildizTechnicalUniversity, FacultyOfChemıcal And Metalurgıcal Engıneerıng, Department Of Food Engineering, 2020 -Continu
AssistantProfessor, YildizTechnicalUniversity, FacultyOfChemıcal And Metalurgıcal Engıneerıng, Department Of Food Engineering, 2018 -Continues
AssistantProfessor, YildizTechnicalUniversity, FacultyOfChemıcal And Metalurgıcal Engıneerıng, Department Of Food Engineering,2017 -2018
ResearchAssistant, YildizTechnicalUniversity,  FacultyOfChemıcal And Metalurgıcal Engıneerıng,Department Of Food Engineering,2013 -2017
ResearchAssistant,  IgdirUniversity, MühendsilikFakültesi, GıdaMühendisliği, 2012 -2013
ResearchAssistant, ErciyesUniversity, MühendsilikFakültesi, GıdaMühendisliği, 2010 -2012
ResearchAssistant, IgdirUniversity, MühendsilikFakültesi, GıdaMühendisliği, 2009 -2010

Publications Top Notes:

I. Modification of chia (Salvia hispanica L.) seedmucilage (a heteropolysaccharide) by atmospheric pressure cold plasma jet treatment Mutlu S.,PalabiyikI.,KopukB.,GunesR.,BolukE.,BAĞCIU.,ÖZMEND.,TOKERÖ.S.,KONARN. FoodBioscience,vol.56,2023 (SCI-Expanded) I . Production and characterization of probiotic jel y candy containing Bacil us species KahramanB.,KorkmazK.,DaştanD.,TokerÖ.S.,DertliE.,ArıcıM. Journalof FoodMeasurementandCharacterization,vol.17,no.6,pp.5864-5873,2023 (SCI-Expanded)
I I. Importance of rheological properties in enrobing efficiency of dark chocolate: application in wafer products ErturalG. I.,GunesR.,TOKERÖ.S.,PalabiyikI.,KONARN.,SAĞDIÇO. International Journalof Food Science andTechnology,vol.58,no.11,pp.5938-5946,2023 (SCI-Expanded)
IV. Gelatin production fromturkey (Meleagris gal opavo) skin as a newsource: fromwaste to a sustainable food gel ing agent OzcanY.,KurtA.,ÖZMEND.,TOKERÖ.S. Journalof the Science of Food andAgriculture,vol.103,no.11,pp.5511-5520,2023 (SCI-Expanded)
V. Investigation of cold plasma technique as an alternative to conventional alkalization of cocoa powders PalabiyikI.,KopukB.,TokerÖ.S.,KonarN. INNOVATIVEFOODSCIENCEANDEMERGINGTECHNOLOGIES,vol.88,no.1,pp.103440,2023 (SCI-Expanded)