Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

Dr. Yasir AlKubaisi, Dubai Academic Health Corporation, United Arab Emirates

Dr. Yasir AlKubaisi is a distinguished electrical engineer and sustainable energy expert currently serving at the Dubai Academic Health Corporation, UAE. With a Ph.D. in Electrical Engineering from University Putra Malaysia, his research has significantly advanced energy harvesting systems. He also holds an MSc in Computer Engineering and a BSc in Electrical and Computer Engineering from the University of Technology, Baghdad. Since 2009, Dr. AlKubaisi has been pivotal in implementing sustainable projects within Dubai’s healthcare sector, including the Sustainable Blood Donation Bus. His extensive skills in project management, data analysis, and system design are complemented by his proficiency in LEED standards and various technical tools like MATLAB and AutoCAD. Recognized with numerous awards, including the MDIP Best Researcher Award in 2024, Dr. AlKubaisi’s work focuses on sustainable energy, electrical and control engineering, and robotics and automation.

Professional Profile:

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šŸŽ“ Education:

PhD: Electrical Engineering, University Putra Malaysia (UPM), May 2020.,Dissertation: “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.”,MSc: Computer Engineering, University of Technology, Baghdad, Iraq, May 2005.,BSc: Electrical and Computer Engineering, University of Technology, Baghdad, Iraq, June 1994

šŸ’¼ Work Experience:

Dubai Academic Health Corporation, Dubai, UAE (2009-present):,Sustainable Engineer, Corporate Environmental Health-Safety & Sustainability Dept.,Key projects include the Sustainable Blood Donation Bus and various energy-saving initiatives.,Dubai Health Authority, Dubai, UAE (2009-2017),Various roles in the Engineering Department, focusing on project management, sustainability, and quality control.,Higher Education Computer Center, Iraq (1994-2007):,Significant experience in overseeing design solutions and managing technical teams.

šŸŒ Skills:

  • trong project management and technical skills including data analysis, system design, and process improvement.
  • Proficient in LEED standards, ISO, and JCI requirements for healthcare buildings.
  • Skilled in MATLAB, MS Office Suite, AutoCAD, and 3D Max

šŸ† Awards & Recognition:

  • MDIP Best Researcher Award, International Research Awards on Sensing Technology, 2024
  • Reviewer Recognition, Elsevier “Journal of Cleaner Production”, 2023
  • Various Certificates of Appreciation from Dubai Health Authority for environmental and sustainability contributions.

šŸ” Research Focus:

Publication Top Note:

 

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

šŸ‘©ā€šŸŽ“ Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. šŸ†šŸ”šŸ“š

šŸŒĀ Professional Profiles :

Scopus

Google Scholar

šŸŽ“ Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

šŸ‘©ā€šŸ’¼ Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

šŸ† Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

šŸ”¬ Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

šŸ“š Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANetā€™23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 45 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fuā€™s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 šŸ“–
    • h-index: 15Ā  šŸ“Š
    • i10-index: 18 šŸ”
  • Since 2018:
    • Citations: 899 šŸ“–
    • h-index: 15 šŸ“Š
    • i10-index: 18 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.