Future of AI Networking - ScienceFather https://networking-events.sciencefather.com Tue, 04 Jun 2024 10:34:19 +0000 en-GB hourly 1 https://wordpress.org/?v=6.7.1 https://networking-events.sciencefather.com/wp-content/uploads/2022/06/Picture5.png Future of AI Networking - ScienceFather https://networking-events.sciencefather.com 32 32 Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award https://networking-events.sciencefather.com/lun-zhao-ai-in-network-award-best-researcher-award-2803/?utm_source=rss&utm_medium=rss&utm_campaign=lun-zhao-ai-in-network-award-best-researcher-award-2803 Tue, 04 Jun 2024 10:33:25 +0000 https://networking-events.sciencefather.com/?p=18336 Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award Assoc Prof Dr. Lun Zhao, Shenzhen Polytechnic University, China Dr. Lun Zhao, a distinguished academic and researcher at Shenzhen Polytechnic University, China ๐Ÿ‡จ๐Ÿ‡ณ, holds dual Ph.D.

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Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award
Assoc Prof Dr. Lun Zhao, Shenzhen Polytechnic University, China

Dr. Lun Zhao, a distinguished academic and researcher at Shenzhen Polytechnic University, China ๐Ÿ‡จ๐Ÿ‡ณ, holds dual Ph.D. degrees in Mechanical Engineering from Blekinge Institute of Technology, Sweden, and in Mechanical and Electrical Engineering from Kunming University of Science and Technology, China ๐ŸŽ“. As a Distinguished Associate Researcher at the Institute of Intelligent Manufacturing Technology since 2022, Dr. Zhao has made significant strides in intelligent manufacturing, publishing over 70 academic papers, including 8 in JCR Area 1 journals ๐Ÿ“š. He has also been granted 4 authorized invention patents. Dr. Zhao leads the Intelligent Connection New Technology R&D Team and directs several key research centers. His outstanding contributions have earned him recognitions such as the Shenzhen Overseas High-Level Talent Introduction โ€œPeacock Plan Category Cโ€ ๐Ÿ†. He has also hosted and participated in numerous research projects worth over 10 million RMB, demonstrating his expertise and leadership in the field ๐ŸŒŸ.

๐ŸŒ Professional Profile:

Scopus

๐ŸŽ“ Educational Background

  • Ph.D. in Mechanical Engineering: Blekinge Institute of Technology, Sweden (2015.12-2017.1)
  • Ph.D. in Mechanical and Electrical Engineering: Kunming University of Science and Technology, China (2012.09-2018.06)

๐Ÿ’ผ Professional Experience

  • Distinguished Associate Researcher: Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University (2022.7โ€“present)
  • Secondment: Shenzhen Municipal Science and Technology Innovation Commission Major Special Project Division (2022.12-2023.8)
  • Postdoctoral Fellow: Institute of Integration, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (2020.9โ€“2022.6)
  • Distinguished Associate Professor: School of Mechanical Engineering, Guizhou University (2018.9-2020.7)

๐Ÿ“š Academic Contributions

Dr. Zhao Lun has made significant contributions to the field of intelligent manufacturing. He has published over 70 academic papers, with 8 in JCR Area 1 journals. He has been granted 4 authorized invention patents and has supervised numerous postgraduate students, including 3 postdoctoral, 3 doctoral, and over 30 masterโ€™s students.

๐Ÿ† Achievements and Roles

  • Leader: Intelligent Connection New Technology R&D Team
  • Director: Shenzhen Vocational College-Guangzhou Xindongli Ultrasonic Welding R&D Center
  • Director: Shenzhen Vocational College-Guangdong Haimingsheng Intelligent Connection Joint Laboratory
  • Postdoctoral Supervisor
  • External Tutor: Tsinghua University Shenzhen International Graduate School

๐ŸŒŸ Recognitions and Awards

  • Shenzhen Overseas High-Level Talent Introduction โ€œPeacock Plan Category Cโ€
  • Hosted and participated in research projects: Worth over 10 million RMB, including the 2022 National Key R&D Plan of the Ministry of Science and Technology, National Natural Science Foundation Youth Fund Project, China Postdoctoral Fund General Project, and Shenzhen High-end Talent Scientific Research Startup Project.

Publication Top Notes:

  • Numerical and experimental investigation of an Archimedes screw turbine for open channel water flow application
  • A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection
  • Mechanical properties of ultrasonic welded and self-piercing riveted joints in a 5A06 aluminum alloy and a TA1 titanium alloy
  • Influence of Patterns on Mechanical Properties of Ultrasonically Welded Joints in Copper Substrate and Wire
  • Numerical study on the injection strategy on combustion and emission characteristics of a non-road diesel engine under different altitude conditions

 

 

 

 

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