Mr. haodi mei | Ocean Sensors Award | Best Researcher Award

Mr. haodi mei | Ocean Sensors Award | Best Researcher Award 

Mr. haodi mei,  Northwestern Polytechnical University, China

Haodi Mei received his M.S. degree in Signal and Information Processing from the School of Marine Science and Technology at Northwestern Polytechnical University (NPU), Xi’an, China, in 2017. He is currently pursuing a Ph.D. degree at Northwestern Polytechnical University (NPU). His research interests focus on underwater acoustic sensor networks.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Haodi Mei holds an M.S. degree in Signal and Information Processing from the School of Marine Science and Technology at Northwestern Polytechnical University (NPU), Xi’an, China, and is currently pursuing a Ph.D. at the same institution. His research interests focus on underwater acoustic sensor networks (UASN), a critical area for oceanographic data collection, environmental monitoring, and defense applications.

Education:

  • M.S. in Signal and Information Processing, School of Marine Science and Technology, Northwestern Polytechnical University (NPU), Xi’an, China, 2017.
  • Currently pursuing a Ph.D. at Northwestern Polytechnical University (NPU).

Work Experience:

  • (If applicable, please provide details about any relevant work experience or positions held at NPU or other institutions.)

Publication top Notes:

Node Load and Location-Based Clustering Protocol for Underwater Acoustic Sensor Networks

Q Learning-Based Routing Protocol With Accelerating Convergence for Underwater Wireless Sensor Networks

An Adaptive MAC Protocol for Underwater Acoustic Sensor Networks With Dynamic-High Load

Multi-Agent Reinforcement Learning-Based Routing Protocol for Underwater Wireless Sensor Networks With Value of Information

An Adaptive Routing Protocol for Underwater Acoustic Sensor Networks With Ocean Current

Reinforcement Learning-Based Opportunistic Routing Protocol Using Depth Information for Energy-Efficient Underwater Wireless Sensor Networks

Dr. Ying Gong | Marine Sensing | Young Scientist Award

Dr. Ying Gong | Marine Sensing | Young Scientist Award

Dr. Ying Gong, Shanghai University, China

Dr. Ying Gong is an accomplished researcher currently employed at Shanghai University, where he has been contributing to the academic community since July 2022. He earned his Ph.D. from Harbin Institute of Technology, having pursued his studies from August 2015 to July 2022. Dr. Gong also holds a degree from City University of Hong Kong, where he studied from August 2018 to November 2022. His research interests and expertise span various fields, reflecting his extensive academic background.

Professional Profile:

ORCID

SCOPUS

 

Education

  1. Harbin Institute of Technology
    • Degree: Ph.D.
    • Dates: August 14, 2015 – July 14, 2022
    • Location: Harbin, China
  2. City University of Hong Kong
    • Degree: [Degree not specified; potentially a Master’s or additional qualification]
    • Dates: August 29, 2018 – November 15, 2022
    • Location: Hong Kong

Work Experience

  1. Shanghai University
    • Position: [Position not specified]
    • Dates: July 14, 2022 – Present
    • Location: Shanghai, China

Publication top Notes:

Toward Highly Sensitive Ocean-Wave Monitoring With Sliding-Triboelectric Effect: Modeling, Experimental Validation, and Demonstration

Hand clappers inspired triboelectric nanogenerator based on magnetic coupling for harvesting rotational energy

The investigation of V-shaped arrays with non-uniform diameter cylinders for high performance hydrokinetic energy conversion

A Self-Adaptive Planar Velocity Vector Sensor Based on Vortex-Induced Torsional Swing Motions

Vortex-induced vibration triboelectric nanogenerator for energy harvesting from low-frequency water flow

On the performance of freestanding rolling mode triboelectric nanogenerators from rotational excitations for smart tires