Dr. Naser Alsaleh | Industrial Sensors | Best Industrial Research Award

Dr. Naser Alsaleh | Industrial Sensors | Best Industrial Research Award 

Dr. Naser Alsaleh | Industrial Sensors | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Dr. Naser Alsaleh is a highly accomplished industrial and manufacturing engineering scholar with a distinguished academic and professional background spanning research, leadership, and innovation. He earned his Ph.D. in Industrial and Systems Engineering from the University of Minnesota-Twin Cities, where he also completed his Master’s in Industrial and Systems Engineering, following a Bachelor’s degree in Industrial Engineering from King Saud University. With a career rooted in both academia and applied engineering, Dr. Alsaleh currently serves as the Head of the Industrial Engineering Department at the College of Engineering, Imam Muhammad Ibn Saud Islamic University, Saudi Arabia. His professional trajectory includes serving as Vice Dean for Graduate Studies and Scientific Research, Vice Dean for Quality and Development, and Dean of Riyadh College of Technology, demonstrating his consistent leadership in academic management and research excellence. His research interests encompass manufacturing engineering, sustainable production systems, welding and joining technologies, additive manufacturing, supply chain optimization, and sensing technologies for industrial automation. A prolific researcher, Dr. Alsaleh has published over 50 peer-reviewed articles indexed in Scopus and Web of Science, accumulating more than 1,200 citations with an h-index of 20. His works frequently appear in reputable journals such as Journal of Cleaner Production, Annals of Operations Research, Crystals, Aerospace, and Engineering Failure Analysis, reflecting his global impact in sustainable and data-driven manufacturing.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications 

  1. Alsaleh, N., Li, Y., Palaniappan, M., Kumar, D. T., & Elfar, A. A. (2025). Decision analysis on sustainable manufacturing practices: cross country perspective. Annals of Operations Research.

  2. Ragab, M., Alsaleh, N., El-Sayed Seleman, M. M., Ahmed, M. M. Z., & Ataya, S. (2025). Weld Power, Heat Generation and Microstructure in FSW and SFSW of 11Cr-1.6W-1.6Ni Martensitic Stainless Steel: The Impact of Tool Rotation Rate. Crystals.

  3. Paul, S., Haldar, B., Joardar, H., Mondal, N., & Alsaleh, N. (2025). Single-Step Drilling Using Novel Modified Drill Bits Under Dry, Water, and Kerosene Conditions and Optimization of Process Parameters via MOGA-ANN and RSM. Lubricants.

  4. Xu, S., Alsaleh, N., Kumar, D. T., Palaniappan, M., & Elfar, A. A. (2024). Enabling customer participation for the implementation of sustainable manufacturing. Journal of Cleaner Production.

  5. Thomas, J., Alsaleh, N. A., Ahmadein, M., Elfar, A. A., & Essa, K. (2024). Graded cellular structures for enhanced performance of additively manufactured orthopaedic implants. The International Journal of Advanced Manufacturing Technology.

Prof. Junhao Li | Sensors Design | Best Innovation Award

Prof. Junhao Li | Sensors Design | Best Innovation Award

Prof. Junhao Li, Xi’an Jiaotong University, China

Junhao Li is a Full Professor at Xi’an Jiaotong University, where he is actively engaged in teaching and research in the field of electrical engineering. His research primarily focuses on two key areas: fault diagnosis of power equipment, including power transformers and gas-insulated switchgear (GIS), and on-site testing for power equipment, particularly impulse testing for GIS and transformers. His work on partial discharge (PD) research explores PD characteristics under various voltage waveforms, employing optical, UHF, and acoustic measurement techniques along with PD pattern recognition. Additionally, his studies on impulse testing address waveform adjustments, distortion effects, equipment protection methods, and insulation breakdown mechanisms in SF₆ gas and oil-paper insulation.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Innovation Award conclusion

Junhao Li is a highly accomplished researcher in the field of electrical engineering, particularly in power equipment fault diagnosis, partial discharge (PD) measurement, and onsite testing for power equipment. His contributions to PD detection techniques, integration of optical and UHF methods, and advancements in impulse testing are innovative and impactful.

Education 🎓:

  • Specific details about Professor Li’s educational background are not provided in the available information.

Work Experience 🏫:

  • Full Professor at Xi’an Jiaotong University: Engaged in teaching and research in electrical engineering, focusing on fault diagnosis of power equipment and on-site testing for power equipment.

Achievements and Honors 🏆:

  • Research Contributions: Specializes in partial discharge research, examining characteristics under various voltage waveforms, and developing measurement and pattern recognition methods.
  • On-Site Testing Innovations: Focuses on on-site impulse testing for GIS and power transformers, including waveform adjustment methods and equipment protection strategies.
  • Professional Recognitions:
    • Fellow of the Institution of Engineering and Technology (IET)
    • Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
    • Editorial Board Member of the Chinese journal “High Voltage Apparatus”
    • Member of the CIGRE D1 China Committee
    • Member of CIGRE Working Groups D1.66 and B3.50
    • Member of IEC TC 17 / SC 17C AHG41
    • Executive Member of the IEEE PES Smart Grid and New Technology Committee (China)
    • Associate Editor of IEEE Transactions on Dielectrics and Electrical Insulation

Professor Li has published numerous papers in IEEE Transactions focusing on transformers and liquid insulation. He is committed to enhancing the relationship between international electrical insulation publications and China, aiming to expand their influence and contribute to their success.

Publication Top Notes:

Review on partial discharge measurement technology of electrical equipment

CITED:182

Digital detection, grouping and classification of partial discharge signals at DC voltage

CITED:144

A novel GIS partial discharge detection sensor with integrated optical and UHF methods

CITED:143

Partial discharge characteristics over differently aged oil/pressboard interfaces

CITED:85

A novel PD detection technique for use in GIS based on a combination of UHF and optical sensors

CITED:79

Investigation of a comprehensive identification method used in acoustic detection system for GIS

CITED:77