Prof. Dr. Elsadig Musa Ahmed | Sensing Technology | Best Researcher Award

Prof. Dr. Elsadig Musa Ahmed | Sensing Technology | Best Researcher Award 

Prof. Dr. Elsadig Musa Ahmed, Multimedia University, Malaysia

Dr. Elsadig Musa Ahmed Mohammed is a distinguished Professor of Economics and Technology Management at Multimedia University (MMU), Malaysia, recognized among the 2024 World’s Top 2% Scientists by Stanford University. With over two decades of academic experience, he has published extensively in the world’s top 1% and 10% journals, authored the book Green Productivity: Applications in Malaysia’s Manufacturing, and contributed more than 150 peer-reviewed articles indexed in Scopus and Web of Science. Dr. Ahmed’s expertise spans development economics, green productivity, digital and knowledge-based economies, bioeconomy, microfinance, and the interface of economic growth with environment and technology. He has successfully supervised over 30 postgraduate theses, received multiple international research grants—including from the Malaysian Government and the Islamic Development Bank—and served as a reviewer and editorial board member for high-impact journals. His accolades include the 2024 Econometric Best Researcher Award, 2023 Sustainability Pioneers Award (WASD), and Outstanding Reviewer in the Emerald Literati Awards (2021). Dr. Ahmed is also an active contributor to global academic networks and policy think tanks, notably as a member of the Council for Sudanese Experts and Scientists Abroad.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for the Best Researcher Award – Dr. Elsadig Musa Ahmed

Dr. Elsadig Musa Ahmed is highly suitable for the Research for Best Researcher Award based on a distinguished academic and professional track record that spans over two decades. His recognition as a member of the 2024 World’s Top 2% Scientists (Stanford List) and his publications in the Top 1% and Top 10% globally ranked journals demonstrate not only academic excellence but also a sustained global research impact.

🎓 Education

  • Ph.D. in Development Economics – Universiti Putra Malaysia, 2005
    Thesis: Impact of Air and Water Pollutant Emissions on Malaysia’s Manufacturing Sector Productivity Growth

  • M.Sc. in Development Economics – Universiti Putra Malaysia, 1998
    Thesis: Productivity and Performance of Malaysian Food Manufacturing Industry

  • B.Sc. in Agricultural Economics – Al-Azhar University, Cairo, Egypt, 1992

  • High School Certificate – Sudan

👨‍🏫 Work Experience (20+ years)

  • Professor, Multimedia University, Malaysia (2015–Present)
    Teaching postgraduate and undergraduate economics & business subjects. Supervising PhD, DBA, MPhil, MBA students.

  • Associate Professor, MMU (2010–2015)

  • Senior Lecturer, MMU (2008–2010)

  • Lecturer, MMU (2004–2008)

  • Research Assistant, Universiti Putra Malaysia (1998)

  • Storekeeper, Kenana Sugar Company, Sudan (1985–1988)

🏆 Achievements

  • Published in Top 1% and 10% international journals

  • Featured in 2024 Stanford University’s World’s Top 2% Scientists List

  • Authored 150+ international journal papers (Scopus, WoS)

  • Supervised 1 Postdoc, 14 PhDs, 4 DBAs, 3 Masters, 8 MBAs

  • Book author: Green Productivity: Applications in Malaysia’s Manufacturing (2012)

  • Reviewer/editor for top journals: Economic Modelling, Applied Economics, Emerald Publishing, etc.

  • Leader of national & international research initiatives, grant recipient, and consultant for global development and sustainability projects

🏅 Awards & Honors

  • 🥇 2024 Best Researcher Award – Young Scientist Awards

  • 🌱 2023 Sustainability Pioneers Award – World Association for Sustainable Development (WASD)

  • 🌍 Outstanding Presentation & Panelist – 2024

  • 📘 Outstanding Reviewer – Emerald Literati Awards, UK (2021)

  • 📄 Best Paper Award – XXth CEDIMS Conference, Laval University, Canada (2010)

  • 🎖️ Excellent Research Awards & Long Service Award – Multimedia University, Malaysia

Publication Top Notes:

A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

The Assessment of Sustainable Development Goals Through the Impact of Exploring Digital Technology Innovation and Climate Change Integration, Conflicts and Natural Disasters

Digitalization and Climate Change Spillover Effects on Saudi Digital Economy Sustainable Economic Growth

Palestinian small and medium enterprises digital technology adoption intention

Enhancing environmental quality and economic growth through potential effects of energy efficiency and renewable energy in Asian economies

Testing technological Kuznets curve implications on achieving sustainable development goal 10 in seven Asian countries

Globalization and financial development contributions toward economic growth in Sudan

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