Dr. Thi Huynh Anh Le | Renewable Energy | Best Researcher Award

Dr. Thi Huynh Anh Le | Renewable Energy | Best Researcher Award 

Dr. Thi Huynh Anh Le, The University of Danang, University of Science and Technology, Vietnam

Le Thi Huynh Anh is a Lecturer in Industrial Management at the Faculty of Project Management, The University of Danang – University of Science and Technology (DUT), Vietnam. She earned her Ph.D. in Industrial Management from the National Taiwan University of Science and Technology (NTUST) in 2023, following her Master’s degree from the same institution in 2019. Her academic journey began with a Bachelor of Engineering in Industrial Engineering and Management from DUT, where she graduated with high distinction. With extensive experience in teaching and research, she supervises students in scientific research projects and industrial management studies. Her research interests include supply chain optimization, logistics management, renewable energy systems, smart grids, and operations management. She has contributed to multiple high-impact publications on sustainable microgrid design, energy trading, and data-driven anomaly detection. In addition to her academic pursuits, she has experience in quality assurance and process engineering in the industry. Skilled in programming languages such as Python, MATLAB, and AMPL, she integrates advanced computational techniques into her research. Throughout her career, she has received numerous academic honors and awards, recognizing her excellence in education, research, and youth leadership activities.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Le Thi Huynh Anh is a highly qualified candidate for the Best Researcher Award given her impressive academic background, multidisciplinary research contributions, strong publication record, and dedication to education and mentorship in the field of Industrial Management and Energy Systems.

🎓 Education

  • 📜 Ph.D. in Industrial Management (2021-2023) – National Taiwan University of Science and Technology (NTUST), Taiwan

    • 🎯 Graduated in April 2023

    • 🏆 Average grade: 4.12/4.30 (Excellent)

  • 📜 Master’s in Industrial Management (2018-2019) – National Taiwan University of Science and Technology (NTUST), Taiwan

    • 🎯 Graduated in June 2019

    • 🏆 Average grade: 4.13/4.30 (Excellent)

  • 🎓 Bachelor of Engineering in Industrial Engineering and Management (2011-2016) – The University of Danang, University of Science and Technology (DUT), Vietnam

    • 🎯 Graduated in February 2016

    • 🏆 Average grade: 3.40/4.00 (Very Good)

    • 🏅 Ranked 3rd out of 54 students

💼 Work Experience

  • 👩‍🏫 Lecturer in Industrial Management (March 2017 – Present) – The University of Danang, University of Science and Technology, Vietnam

    • 📚 Teaching and research

    • 🎓 Supervising students’ scientific research & projects

    • 📋 Organizing academic and youth activities

  • 🏭 Process Engineer (January 2017 – February 2017) – Unilever Vietnam International Co., Ltd.

    • 🏆 Applied quality improvement methods

    • 🎯 Provided technical training & root cause analysis

  • 🛠️ Quality Assurance Officer (February 2016 – December 2016) – Vinabag Joint Stock Company

    • ✅ Ensured product quality and workplace safety

🏆 Academic Honors & Achievements

  • 🏅 “Excellent Student” Award (2013-2014) – Rector of University of Science and Technology

  • 🏅 “Excellent Student” Award (2014-2015) – Rector of University of Science and Technology

  • 🎖️ Very Good – University Graduation Certificate (2016) – Rector of University of Science and Technology

🎖️ Awards for Youth Union & Social Activities

  • 🏆 “Excellent Achievement in Youth Union Tasks & Movements” (2013-2014) – Ho Chi Minh Communist Youth Union, Danang University of Science and Technology

  • 🤝 “Outstanding Contribution in Community Volunteer Work” (2014 & 2015) – Rector of University of Science and Technology

Publication Top Notes:

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Prof. Xiongwen Zhao | Power Network Awards | Best Researcher Award

Prof. Xiongwen Zhao | Power Network Awards | Best Researcher Award

Prof. Xiongwen Zhao, North China Electric Power University, china

Xiongwen Zhao is a distinguished professor and Chair of Information and Communications Engineering at North China Electric Power University, Beijing, China. With a Ph.D. degree (Hons.) from Helsinki University of Technology (TKK), Espoo, Finland, earned in 2002, Dr. Zhao has had an impactful career spanning both industry and academia. His early work included roles at the China Research Institute of Radiowave Propagation as a Senior Engineer and Director and later as a Senior Researcher and Project Manager at TKK’s Radio Laboratory, where he specialized in multiple input multiple output (MIMO) wireless communications. His expertise further developed through senior specialist roles at Elektrobit Corporation, where he contributed to the European Wireless World Initiative New Radio (WINNER) Project and advanced 4G MIMO channel models. Dr. Zhao has extensive experience with wireless technologies, including WiMAX, wireless mesh networks, and mobile satellite communications.

Professional Profile:

ORCID

Suitability of Xiongwen Zhao for the Best Researcher Award

Dr. Xiongwen Zhao, currently a full Professor at North China Electric Power University, has an impressive academic and professional track record. His extensive experience in wireless communications and next-generation network technologies such as 5G, 6G, and RIS (Reconfigurable Intelligent Surface) in space-air-ground networks underscores his influence in the field. He has a remarkable number of publications (over 310), with 110 of these indexed by SCI and six recognized as highly cited papers in global research databases, establishing him as a top-tier researcher. His recent contributions to C-NOMA-enabled space-air-ground networks, energy-efficient resource allocation for industrial IoT networks, and intelligent reflecting surfaces in high-mobility systems align with cutting-edge research areas, further enhancing his profile.

Education:

  • Ph.D. (Honors), Helsinki University of Technology (TKK), Espoo, Finland, 2002.

Work Experience:

  • Director and Senior Engineer (1992–1998)
    Laboratory of Communications System Engineering, China Research Institute of Radiowave Propagation, Xinxiang, China.
  • Senior Researcher and Project Manager (1999–2004)
    Radio Laboratory, Helsinki University of Technology (TKK), Espoo, Finland.

    • Specialized in multiple input multiple-output (MIMO) wireless communications.
  • Senior Specialist (2004–2011)
    EB Wireless Solutions, Elektrobit Corporation, Espoo, Finland.

    • Engaged in the European Wireless World Initiative New Radio (WINNER) Project as a Senior Researcher for 4G MIMO channel models (2004–2007).
    • Worked on WiMAX and wireless mesh networks (2006–2008).
    • Focused on mobile satellite communications for GEO Mobile Radio Interface (GMR)-1 3G, Digital Video Broadcasting-Satellite Handhelds (DVB-SH), and antenna performance evaluations (2008–2009).
  • Full Professor and Chair Professor of Information and Communications Engineering
    North China Electric Power University, Beijing, China (Current).

    • Leads projects funded by the National Science Foundation of China (NSFC) and Chinese industries, focusing on 5G and 6G research, particularly in RIS and space-air-ground communications.

Additional Roles and Honors:

  • Over 310 publications, with 110 SCI-indexed articles and 6 highly cited papers by ESI and Scopus.
  • Senior Member of IEEE, Fellow of the Chinese Institute of Electronics (CIE), and Fellow of the China Institute of Communications.
  • Recipient of multiple awards, including the IEEE Vehicular Technology Society Neal Shepherd memorial best propagation paper award (2014), IEEE ISAPE Best Paper Awards (2018, 2021), and IEEE IWCMC Best Paper Award (2019).
  • Serves as an Associate Editor for IEEE Antennas and Wireless Propagation Letters and IET Communications. Also an Area Editor for the Chinese Journal of Radio Science, and a Leading/Guest Editor for several SCI journals.

Publication top Notes:

Collaborative Edge Computing and Program Caching With Routing Plan in C-NOMA-Enabled Space-Air-Ground Network

Energy-Efficient Resource Allocation for Space–Air–Ground Integrated Industrial Power Internet of Things Network

Energy-Minimization Resource Allocation for FD-NOMA Enabled Integrated Sensing, Communication, and Computation in PIoT

Intelligent Reflecting Surface Assisted High-Mobile Edge Computing System: Joint Optimization of Computation and Communication

MADRL-Based URLLC-Aware Task Offloading for Air-Ground Vehicular Cooperative Computing Network

Optimal Resource Allocation for AGIN 6G: A Learning-Based Three-Sided Matching Approach