Wei Cheng | Intelligent Maintenance | Best Researcher Award

Prof. Wei Cheng | Intelligent Maintenance | Best Researcher Award

Professor at Xi’an Jiaotong University, China

Prof. Wei Cheng is a prominent figure in the field of mechanical engineering with deep expertise in intelligent systems for nuclear power and smart agricultural technologies. Currently a Full Professor and Doctoral Supervisor at Xi’an Jiaotong University, he has demonstrated an exceptional trajectory in academia, national-level research, and policy advisory roles. His research contributions span nuclear power intelligent decision-making, predictive maintenance, and smart manufacturing, supported by extensive funding and recognized by national media and scientific communities.

Publication ProfileΒ 

Scopus

Educational Background πŸŽ“

  • Postdoctoral Research (2012.12 – 2015.09)
    Mechanical Engineering, Xi’an Jiaotong University

  • Ph.D. in Mechanical Engineering (2008.09 – 2012.12)
    Xi’an Jiaotong University

    • Joint Ph.D. at University of Michigan, Ann Arbor (2011.02 – 2012.10)

  • M.Eng. in Mechanical Engineering (2006.09 – 2008.08)
    Xi’an Jiaotong University

  • B.Eng. in Mechanical Engineering (2002.09 – 2006.06)
    Xi’an Jiaotong University

Professional Experience πŸ’Ό

  • 2022 – Present:

    • Full Professor / Doctoral Supervisor, School of Mechanical Engineering, Xi’an Jiaotong University

    • Deputy Director, CNNC-XJTU Joint Lab for Nuclear Power Intelligent Decision & Predictive Operation

    • Chief Scientist, Smart Agriculture Technology & Equipment Research Center

  • 2018 – 2020:
    Associate Director, Department of Scientific Research, Xi’an Jiaotong University

  • 2017 – 2018:
    Project Manager, High-Tech Department, Ministry of Science and Technology of China

  • 2015 – 2021:
    Associate Professor / Doctoral Supervisor, Xi’an Jiaotong University

Research Interests πŸ”¬

  • Nuclear power intelligent decision-making systems

  • Smart maintenance and predictive operation technology

  • Intelligent equipment for smart agriculture

  • Digital twin and intelligent diagnostics

  • Standardization in intelligent manufacturing

Awards and HonorsπŸ†βœ¨

  • “Wang Kuancheng Young Scholar” distinction

  • Chief author of national strategy documents (e.g., China’s Manufacturing Power Strategy 2035)

  • Research highlighted in People’s Daily and Shaanxi Daily

  • Recognized expert in national standardization committees

Key Research Achievements

  • Led 24 competitive research projects, with over Β₯24 million in funding

  • PI of the National S&T Major Project and National Key R&D Program

  • Secured 3 NSFC grants and 17 provincial/ministerial-level projects

  • Developed 1 nuclear power intelligent system and contributed to 5 national/industry standards

  • Published 70+ papers (40+ SCI, 20+ EI indexed)

  • Filed 50+ patents and 11 software copyrights

Conclusion🌟

Prof. Wei Cheng stands out as a highly accomplished and visionary academic in mechanical engineering, with a solid track record in cross-disciplinary innovation, high-impact research, and leadership in national policy planning. His achievements in nuclear power, smart agriculture, and predictive maintenance not only advance scientific frontiers but also align with strategic industrial goals. He is a strong candidate for research excellence awards and continued leadership roles in shaping China’s intelligent manufacturing landscape.

Publications πŸ“š

πŸ“„ Article
MelNet: An End-to-End Adaptive Network with Adjustable Frequency for Preprocessing-Free Broadband Acoustic Emission Signals
πŸ“š Information Fusion, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 0


πŸ“„ Article
Efficient Belief Rule-Based Network for Planetary Gearbox Wear State Characterization Using Multi-Channel Lubricant Debris Information
πŸ“š Information Fusion, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 0


πŸ“„ Article
Gas Turbine Harmonic Detection and Modal Identification Based on Underdetermined Blind Source Separation
πŸ“š Journal of Sound and Vibration, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 0


πŸ“„ Article
Class-Imbalanced Pattern Recognition in Pipeline Weld Cracks Damage via Feature Characterization and Sample Enhancement
πŸ“š Measurement – Journal of the International Measurement Confederation, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 0


πŸ“„ Article
Microleakage Acoustic Emission Monitoring of Pipeline Weld Cracks Under Complex Noise Interference: A Feasible Framework
πŸ“š Journal of Sound and Vibration, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 1


πŸ“š Review
Diagnostics and Prognostics in Power Plants: A Systematic Review
πŸ“ Journal Name Not Specified, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 1


πŸ“„ Article
Macro Guidance–Micro Avoidance Model for On-Site Personnel Emergency Evacuation Strategy in Nuclear Power Plants Under Fear Psychology
πŸ“š Physica A: Statistical Mechanics and Its Applications, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 0


πŸ“„ Article
Gradient Consistency Strategy Cooperative Meta-Feature Learning for Mixed Domain Generalized Machine Fault Diagnosis
πŸ“š Knowledge-Based Systems, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 1


πŸ“„ Article
EI-ISOA-VMD: Adaptive Denoising and Detrending Method for Nuclear Circulating Water Pump Impeller
πŸ“š Measurement – Journal of the International Measurement Confederation, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 4


πŸ“„ Article
A Model-Based Deep Learning Approach to Interpretable Impact Force Localization and Reconstruction
πŸ“š Mechanical Systems and Signal Processing, 2025
πŸ”— Full text: Unavailable
πŸ“Š Citations: 4


Ikhlef JEBBOR | Industrial engineering | Excellence in Research

Dr. Ikhlef JEBBOR | Industrial engineering | Excellence in Research

ibn Tofail University at National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

A Ph.D. candidate in Sustainable Optimization of Manufacturing and Supply Chain with extensive experience in both academia and industry. Focuses on lean manufacturing, production optimization, and AI for sustainable development. Currently an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E), leading process improvements in the automotive industry. Expert in project management, operational research, and continuous improvement strategies such as Six Sigma and Kaizen. Has published numerous peer-reviewed articles and presented at international conferences on sustainability and advanced manufacturing techniques.

Professional Profile

Scopus Profile

Education:

  • Ph.D. in Sustainable Optimization of Manufacturing and Supply Chain (ENSA Kenitra, Ibn Tofail University, 2022 – Current)
  • State Engineer, Industrial Engineering (GI) (FST Errachidia, Moulay Ismail University, 2010 – 2013)
  • Physics & Chemistry Teacher Education Diploma (CPR Mohamed V SAFI, Morocco, 2009 – 2010)
  • Professional University Degree, Renewable Energies and Sustainable Development (ERDD) (Faculty of Sciences -Agadir, Ibn Zohr University, 2007 – 2009)
  • General University Degree, Physical Matter Sciences (SMP) (Faculty of Sciences -Agadir, Ibn Zohr University, 2005 – 2007)
  • BAC, Experimental Science (Salah Eddin Elayyoubi High School, Tinghir, 2005)

Professional Experience:

Sumitomo Electric Wiring Systems (SEWS-E)

  • Engineering Project Leader (Feb 2021 – Current)
  • Senior Project Engineer (Aug 2018 – Jan 2021)
  • Process Engineer (Sep 2015 – Aug 2018)
  • Work Study Engineer (May 2014 – Aug 2015)

Research Interests:

  • Facilities Design and Optimization
  • Lean Manufacturing
  • Production Planning and Scheduling
  • Supply Chain Management
  • Mathematical Modeling and Optimization

Awards and Honors:

  • Outstanding Project Leader Award
    Sumitomo Electric Wiring Systems (SEWS-E), 2022
    Recognized for leading key process improvements in automotive production, significantly enhancing efficiency and innovation.
  • Excellence in Lean Manufacturing Implementation
    Sumitomo Electric Wiring Systems (SEWS-E), 2020
    Awarded for implementing lean manufacturing strategies that resulted in significant cost savings and production efficiency.
  • Best Paper Award
    International Conference on Industrial Engineering and Applications (ICIEA), 2023
    Awarded for presenting the paper on “Improvement of an Assembly Line in the Automotive Industry: A Case Study in Wiring Harness Assembly Line.”
  • Research Excellence Award
    ENSA Kenitra, Ibn Tofail University, 2022
    For contributions to sustainable optimization of manufacturing and supply chain research, particularly in the automotive industry.
  • Innovation Award for Sustainable Practices
    Sustainability and Advanced Manufacturing Techniques Conference, 2023
    Honored for innovative research in applying AI and optimization techniques for sustainable manufacturing practices.

Conclusion:

With an extensive background in industrial engineering, lean manufacturing, and AI applications, I have consistently delivered impactful results in both academia and industry. My experience as an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E) and my ongoing doctoral research on the sustainable optimization of manufacturing and supply chain systems equip me with a strong foundation for tackling complex industry challenges.

Through my research, publications, and practical experience, I aim to contribute to the development of more efficient, sustainable, and innovative manufacturing processes. I am committed to driving continuous improvement through the application of cutting-edge methodologies such as Six Sigma, Kaizen, and AI-driven optimizations. As I continue to advance in both academia and industry, I strive to shape the future of sustainable industrial engineering and contribute to global efforts for sustainable development.

Publication Top Notes

  1. πŸ“Š Article: Forecasting supply chain disruptions in the textile industry using machine learning: A case study
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Journal: Ain Shams Engineering Journal, 2024, 15(12), 103116
    • Citations: 1
  2. 🌍 Conference Paper: Optimization of Carbon Emissions in Asphalt Pavement Construction
    • Authors: Benmamoun, Z., Elkhechafi, M., Abdo, A.A., Jebbor, I.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  3. 🧠 Conference Paper: Comparison of Generative AI Models in Supply Chain Management: Benefits, Applications and Challenges
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Hachimi, H.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  4. πŸ€– Article: Generative AI for enhanced operations and supply chain management
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Serrou, D.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 6637
    • Citations: 1
  5. 🌱 Article: Revolutionizing cleaner production: The role of artificial intelligence in enhancing sustainability across industries
    • Authors: Jebbor, I., Benmamoun, Z., Hachmi, H.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 7455
    • Citations: 1
  6. πŸ“‰ Article: Leveraging variational autoencoders and recurrent neural networks for demand forecasting in supply chain management: A case study
    • Authors: Khlie, K., Benmamoun, Z., Fethallah, W., Jebbor, I.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(8), 6639
    • Citations: 5
  7. πŸ“š Conference Paper: Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning
    • Authors: Mousse, M.A., Almufti, S.M., GarcΓ­a, D.S., Aljarbouh, A., Tsarev, R.
    • Conference: Lecture Notes in Networks and Systems, 2024, 935 LNNS, pp. 175–183
    • Citations: 2
  8. πŸš— Conference Paper: Application of Manufacturing Cycle Efficiency to Increase Production Efficiency: Application in Automotive Industry
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Conference: 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024
    • Citations: 3
  9. πŸ”§ Conference Paper: Process Improvement of Taping for an Assembly Electrical Wiring Harness
    • Authors: Jebbor, I., Raouf, Y., Benmamoun, Z., Hachimi, H.
    • Conference: Lecture Notes in Business Information Processing, 2024, 507 LNBIP, pp. 35–48
    • Citations: 3
  10. βš™οΈ Article: Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Shipyard Industry
  • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
  • Journal: Processes, 2023, 11(11), 3136
  • Citations: 10