Cheng-Wei Fei | Design of Materials and Components | Best Researcher Award

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Prof. Dr. Cheng-Wei Fei | Design of Materials and Components | Best Researcher Award

Professor at Fudan University, China

Prof. Dr. Cheng-Wei Fei is a distinguished academic and researcher specializing in aerospace engineering, particularly in aeroengine structural strength and reliability. He is currently a Professor at Fudan University, with prior experience as a Research Fellow at Hong Kong University of Science and Technology and as a Postdoctoral Fellow at Hong Kong Polytechnic University. With a Ph.D. in Aerospace Propulsion Theory and Engineering from Beihang University, Prof. Fei has published over 130 SCI-indexed papers and authored six books. His research contributions, including 15 patents, focus on AI-driven advancements in aircraft health management and reliability, directly supporting key national projects like the C919 and CJ-1000 aircraft. He is an active leader in the academic community, serving as an editor for several prominent journals and holding multiple leadership roles in aerospace societies. Prof. Fei’s work bridges fundamental science and practical applications, positioning him as a key figure in aerospace research and development.

Professional Profile 

Education

Prof. Dr. Cheng-Wei Fei has a strong academic foundation in aerospace engineering. He earned his Ph.D. in Aerospace Propulsion Theory and Engineering from Beihang University in 2014, following a Master’s degree in the same field from Shenyang Aerospace University in 2010. His undergraduate studies were in Electrical Engineering and Automation, which he completed at Fujian University of Technology in 2007. Throughout his academic journey, Prof. Fei has continually sought to advance his knowledge, first as a student and later as a researcher and educator. His rigorous education laid the groundwork for his future contributions to aerospace science, particularly in the areas of aeroengine reliability, AI applications in aerospace, and advanced propulsion technologies. Prof. Fei’s ongoing commitment to academic excellence is reflected in his long-standing position as a Professor at Fudan University, where he continues to push the boundaries of aerospace research.

Professional Experience

Prof. Dr. Cheng-Wei Fei has extensive professional experience in both academic and research settings. He currently serves as a professor in the Department of Mechanical Engineering, specializing in the design and analysis of materials and components. Throughout his career, Dr. Fei has been involved in numerous high-impact research projects related to structural reliability, materials behavior, and dynamic system modeling. His expertise spans computational mechanics, dynamic modeling of structures, and advanced materials design, with a focus on integrating multi-physics approaches for solving real-world engineering problems. Dr. Fei has also contributed significantly to the advancement of reliability-based design optimization and surrogate modeling strategies. He has collaborated with industry partners and government organizations, applying his research to practical challenges in the aerospace, automotive, and energy sectors. With over 100 peer-reviewed publications, Dr. Fei is a leading figure in his field, recognized for his contributions to engineering design and innovation.

Research Interest

Prof. Dr. Cheng-Wei Fei’s research interests are centered around aerospace propulsion, structural strength, and reliability, with a particular focus on integrating artificial intelligence (AI) into aerospace systems. He has made significant contributions to the development of new theories and methodologies, such as information fusion fault diagnosis, dynamic assembly reliability design, and intelligent reliability design for aeroengines and aircraft. His research aims to address critical challenges in aircraft health management, intelligent operation and maintenance, and the overall reliability of aerospace technologies. Prof. Fei’s work supports the development of key national aerospace projects, including China’s C919 and CJ-1000 aircraft, as well as advanced aeroengines. He is deeply involved in applying AI and advanced engineering models to improve the performance and safety of aerospace systems, with his research outcomes directly influencing the design and operational efficiency of modern aircraft and engines. His interdisciplinary approach blends aerospace engineering with cutting-edge AI techniques, pushing the boundaries of innovation in the field.

Award and Honor

Prof. Dr. Cheng-Wei Fei has received numerous accolades for his exceptional contributions to aerospace engineering and research. He has been recognized for his groundbreaking work in aeroengine reliability, AI integration, and aerospace health management, which has significantly impacted national aerospace projects like the C919 and CJ-1000 aircraft. As an academic leader, Prof. Fei holds prestigious editorial positions in renowned journals, including Shock and Vibration, Aerospace, and Mechanical Design. He has also been invited as a session chair at major international conferences, such as AAME 2024 and ISAES 2024, further underscoring his global reputation. In addition to his academic achievements, Prof. Fei is actively involved in professional societies, holding leadership roles such as Vice Chairman of the National Committee of Experts on Aerospace Materials and Deputy Director of the Aeronautical Power Professional Committee of Shanghai Aeronautical Society. These honors reflect his significant influence and leadership in the aerospace research community.

Conclusion

Prof. Dr. Cheng-Wei Fei is highly suitable for the Best Researcher Award. His extensive research output, leadership roles, significant contributions to national aerospace projects, and strong academic background make him an outstanding candidate. Addressing the noted areas for improvement, particularly by broadening his research scope and emphasizing global impact, could further enhance his qualifications for international recognition.

Publications Top Noted

  • Title: Improved Kriging with extremum response surface method for structural dynamic reliability and sensitivity analyses
    Authors: C Lu, YW Feng, RP Liem, CW Fei
    Year: 2018
    Citations: 108
  • Title: Fusion information entropy method of rolling bearing fault diagnosis based on n-dimensional characteristic parameter distance
    Authors: YT Ai, JY Guan, CW Fei, J Tian, FL Zhang
    Year: 2017
    Citations: 102
  • Title: LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems
    Authors: J Xia, Y Feng, C Lu, C Fei, X Xue
    Year: 2021
    Citations: 100
  • Title: Moving extremum surrogate modeling strategy for dynamic reliability estimation of turbine blisk with multi-physics fields
    Authors: C Lu, CW Fei, HT Liu, H Li, LQ An
    Year: 2020
    Citations: 98
  • Title: Probabilistic LCF life assessment for turbine discs with DC strategy-based wavelet neural network regression
    Authors: LK Song, GC Bai, CW Fei
    Year: 2019
    Citations: 84
  • Title: Multi-objective reliability-based design optimization approach of complex structure with multi-failure modes
    Authors: LK Song, CW Fei, J Wen, GC Bai
    Year: 2017
    Citations: 81
  • Title: Improved decomposed-coordinated kriging modeling strategy for dynamic probabilistic analysis of multicomponent structures
    Authors: C Lu, YW Feng, CW Fei, SQ Bu
    Year: 2019
    Citations: 80
  • Title: Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk
    Authors: B Keshtegar, M Bagheri, CW Fei, C Lu, O Taylan, DK Thai
    Year: 2021
    Citations: 78
  • Title: Reliability-based low-cycle fatigue damage analysis for turbine blade with thermo-structural interaction
    Authors: H Gao, C Fei, G Bai, L Ding
    Year: 2016
    Citations: 77
  • Title: Probabilistic analyses of structural dynamic response with modified Kriging-based moving extremum framework
    Authors: C Lu, CW Fei, YW Feng, YJ Zhao, XW Dong, YS Choy
    Year: 2021
    Citations: 76
  • Title: Enhanced network learning model with intelligent operator for the motion reliability evaluation of flexible mechanism
    Authors: CW Fei, H Li, HT Liu, C Lu, LQ An, L Han, YJ Zhao
    Year: 2020
    Citations: 73
  • Title: Multilevel nested reliability-based design optimization with hybrid intelligent regression for operating assembly relationship
    Authors: CW Fei, H Li, HT Liu, C Lu, B Keshtegar, LQ An
    Year: 2020
    Citations: 73

 

Saad Al-Haidari | Mechanical Engineering | Best Researcher Award

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Saad Al-Haidari | Mechanical Engineering | Best Researcher Award

Dr. Saad Raad Mujid , Al mustansiriyah university, Iraq.

📚🔬Publication Profile

Orcid

Scopus

Suitability For The Award

Saad Raad Mujid is a commendable candidate for the Best Researcher Award, given his robust educational background in mechanical engineering and thermal power engineering, complemented by extensive hands-on experience in the field. Graduating from the College of Engineering at the University of Mustansiriyah in Baghdad, Saad has developed a solid foundation in engineering principles, which he has effectively applied in various research and industrial settings. His commitment to advancing knowledge in thermal power and fluid dynamics positions him as a valuable contributor to the engineering community.

Professional Development

Saad Raad Mujid actively seeks professional development opportunities to enhance his skills and knowledge in mechanical engineering. He has completed courses in industry safety, heat convection studies, and well logging, which have equipped him with practical insights and enhanced his engineering capabilities. With hands-on experience at Hyundai and Samsung, he is well-versed in real-world applications of engineering principles. Saad continually strives to stay updated with the latest technologies, making him a valuable asset in any engineering environment. 🌟📈

Research Focus

Saad’s research focus lies in thermal power engineering, particularly in the study of heat transfer and fluid dynamics. He explores the principles of forced and natural convection, utilizing computational fluid dynamics (CFD) for innovative solutions in thermal applications. His hands-on experience with various engineering projects enables him to bridge the gap between theoretical concepts and practical implementations. Saad aims to contribute to advancements in energy efficiency and thermal management, making a meaningful impact in the field of mechanical engineering. 🔥🔍

Awards and Honors 🏆✨

  • Certificate of Completion: Study of Forced Heat Convection 🏅
  • Certificate of Completion: Study of Natural Heat Convection 🏅
  • Certificate: General Industry Safety and Health 🏆
  • Certificate: Well Logging and Safety 🏆
  • Recognized for Outstanding Performance at Hyundai Company 🥇
  • Recognized for Commitment to Safety at Osha Foundation 🥇

Publications 📚📝

  1. Analysis of thermohydraulic flow and enhancement heat performance in 3D dimple tube based on varying geometrical configurations – Cited by 1 document, 2024 🔍
  2. Evaluation of hydraulic thermal flow and heat performance augmentation in a 3D tube fitted with varying concavity dimple turbulator configurations – Cited by 0 documents, 2024 📈

Conclusion

In conclusion, Saad Raad Mujid’s strong academic qualifications, practical experience, and commitment to safety and collaborative research make him a highly suitable candidate for the Best Researcher Award. Recognizing his contributions would not only honor his dedication but also inspire continued excellence in the field of mechanical and thermal engineering.

Xiuhan Li | Design of Materials and Components | Best Researcher Award

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Prof Xiuhan Li | Design of Materials and Components | Best Researcher Award

 Professor at Beijing Jiaotong University , China

Professor Xiuhan Li is a distinguished academic in the School of Electronics and Information Engineering at Beijing Jiaotong University. Her expertise lies in micro/nano devices, energy harvesting, and implantable biomedical microdevices, with a particular focus on wireless energy transfer systems. Her innovative research has garnered significant recognition, including numerous publications and patents.

Profile

Scopus Profile

Author Metrics

Professor Li has achieved notable scholarly impact with over 30 peer-reviewed publications in prestigious journals such as Advanced Materials, ACS Nano, and Nano Energy. Her work has amassed more than 1000 citations, reflecting her substantial influence in her research areas. Additionally, she holds 6 invention patents and has published 36 journal articles indexed by SCI and Scopus.

Education

Professor Li earned her Ph.D. in Microelectronics and Solid State Electronics from Peking University in 2006. Her academic foundation laid the groundwork for her subsequent research in micro/nano technologies and energy harvesting.

Research Focus

Professor Li’s research centers on micro/nano devices, with a significant focus on triboelectric nanogenerators, self-powered sensors, and deep learning applications. Her work includes the development of advanced wearable sensors and wireless energy transfer systems, which push the boundaries of current technology.

Professional Journey

Professor Li’s career includes directing and participating in numerous research projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China (NSFC). She has collaborated extensively with prestigious institutions like Peking University and the Beijing Institute of Nano Energy and Systems.

Honors & Awards

Professor Li’s groundbreaking contributions have been recognized through various awards and accolades. Her research excellence and innovative solutions in electronics and information engineering make her a leading figure in her field.

Publications Noted & Contributions

Professor Li’s notable work includes the development of a high-performance intelligent triboelectric wearable sensor (HITWS), which significantly improves upon previous technologies in terms of signal-to-noise ratio, sensitivity, and power density. Her research demonstrates a high accuracy in object recognition when combined with advanced deep learning models.

Research Timeline

Professor Li’s research timeline highlights her progression from her doctoral studies at Peking University to her current role at Beijing Jiaotong University. Her ongoing projects and contributions have consistently advanced the field of electronics and information engineering, with a focus on innovative sensor technologies and energy harvesting systems.

Collaborations and Projects

Professor Li maintains active collaborations with leading institutions such as Peking University and the Beijing Institute of Nano Energy and Systems. These partnerships facilitate the advancement of her research projects, including contributions to triboelectric nanogenerators and self-powered sensors.

 

Publications

  1. “Mica/Nylon Composite Nanofiber Film-Based Wearable Triboelectric Sensor for Object Recognition”
    • Authors: Yang, J., Hong, K., Hao, Y., Zhang, C., Li, X.
    • Journal: Nano Energy
    • Year: 2024
    • Volume: 129
    • Article Number: 110056
  2. “Self-Powered Intelligent Liquid Crystal Attenuator for Metasurface Real-Time Modulating”
    • Authors: Niu, Z., Yang, J., Yu, G., Mao, X., Li, X.
    • Journal: Nano Energy
    • Year: 2024
    • Volume: 129
    • Article Number: 109991
  3. “Self-Powered Terahertz Modulators Based on Metamaterials, Liquid Crystals, and Triboelectric Nanogenerators”
    • Authors: Hao, Y., Niu, Z., Yang, J., Zhang, C., Li, X.
    • Journal: ACS Applied Materials and Interfaces
    • Year: 2024
    • Volume: 16
    • Issue: 25
    • Pages: 32249–32258
  4. “Triboelectric Nanogenerator for Self-Powered Musical Instrument Sensing Based on the Ion-Electricfield-Migration Nylon/Na2SO4 Nanofiber Film”
    • Authors: Zhang, C., Liu, H., Hao, Y., Wang, J., Li, X.
    • Journal: Chemical Engineering Journal
    • Year: 2024
    • Volume: 489
    • Article Number: 151274
  5. “High-Performance Flexible Wearable Triboelectric Nanogenerator Sensor by β-Phase Polyvinylidene Fluoride Polarization”
    • This publication’s details are incomplete as you haven’t provided the full citation. If you have more specific information or a request for further details, please let me know

Strength for Best Researcher Award

        1. Innovative Research Focus: Professor Li’s research in triboelectric nanogenerators and self-powered sensors demonstrates cutting-edge advancements and practical applications in micro/nano devices.
        2. High Scholarly Impact: With over 1000 citations and numerous publications in top-tier journals like Advanced Materials and Nano Energy, her work has made a significant impact on her field.
        3. Extensive Patenting: Holding 6 invention patents underscores her ability to translate research into practical, innovative solutions.
        4. Successful Collaborations: Partnerships with prestigious institutions like Peking University and the Beijing Institute of Nano Energy and Systems enhance the depth and reach of her research.
        5. Recognition and Awards: Her innovative contributions have been acknowledged through various honors and awards, highlighting her excellence and leadership in electronics and information engineering.

        Areas for Improvement

        1. Broader Research Applications: Expanding research to explore applications beyond wearable sensors and energy harvesting could diversify her impact.
        2. Interdisciplinary Research: Integrating more interdisciplinary approaches could open new avenues for innovation and application.
        3. Enhanced Public Engagement: Increasing outreach efforts to communicate the significance and potential of her work to a broader audience may enhance public understanding and support.
        4. Expansion of International Collaborations: Broadening international research partnerships could offer new perspectives and opportunities for collaboration.
        5. Increased Focus on Emerging Technologies: Staying abreast of and incorporating emerging technologies could further elevate her research impact and relevance.

        Conclusion

        Professor Xiuhan Li’s distinguished career is marked by groundbreaking research in micro/nano devices and energy harvesting, demonstrated by her high citation count and numerous prestigious publications. Her significant patent portfolio and successful collaborations underscore her innovative contributions and leadership in her field. While her research has achieved remarkable success, there are opportunities to further broaden application areas, enhance interdisciplinary approaches, and expand both public and international engagement. Embracing these opportunities will likely amplify her impact and foster continued excellence in her pioneering work.