Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award

Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award 

Dr. Caixia Cai, Shanghai Maritime University, China

Caixia Cai, also known as Jessica Cai, is a dedicated lecturer at Shanghai Maritime University, where she has been contributing to the field of information and communication intelligence systems since September 2020. she completed her B.S. in Communication Engineering at East China Jiaotong University in 2013, focusing on the design and implementation of local network systems based on GSM for railway applications. Cai pursued her Ph.D. at Donghua University, where she researched energy efficiency in wireless networks using cooperative relay systems under the supervision of Professor Runhe Qiu. Additionally, she was a joint Ph.D. student at the University of Delaware, collaborating with Professor Xiang-Gen Xia on mathematical theories and methods in wireless communications. Her research interests encompass multiple-input multiple-output (MIMO) systems, cooperative relays, green communication in wireless networks, and underwater acoustic sensor networks. Cai actively contributes to the academic community as a volunteer reviewer for several prestigious journals and conferences, including IET Communications and IEEE Transactions on Green Communication and Networking. Her work aims to advance the understanding and efficiency of communication systems, reflecting her commitment to innovation and excellence in the field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. Caixia Cai is a promising candidate for the Best Researcher Award due to her significant contributions to the field of wireless communications, particularly in energy efficiency and innovative transmission strategies. Currently a lecturer at Shanghai Maritime University, her academic journey includes extensive research experience and collaborative projects at prestigious institutions like the University of Delaware.

🎓 Education

  • Ph.D. Candidate
    Field: Information & Communication Intelligence System
    Institution: Donghua University, Shanghai, China
    Duration: June 2020 – September 2014
    Advisor: Professor Runhe Qiu
    Research Project: Research on Energy Efficiency of Wireless Network Based on Cooperative Relay
  • Joint Ph.D. Student
    Department: Electrical and Computer Engineering
    Institution: University of Delaware, Newark, Delaware, USA
    Duration: September 2017 – September 2019
    Advisor: Professor Xiang-Gen Xia
    Research Project: Mathematical Theory and Methods on Wireless Communications
  • B.S.
    Field: Communication Engineering
    Institution: East China Jiaotong University, Nanchang, China
    Duration: September 2009 – July 2013
    Advisor: Professor Yuejin Zhang
    Research Project: Design and Implementation of Local Network Side Based on GSM-Railway System

💼 Work Experience

  • Lecturer
    Institution: Shanghai Maritime University
    Duration: September 2020 – Present

🏆 Achievements

  • Conducted significant research in areas such as MIMO, cooperative relay, and green communication in wireless networks.
  • Contributed to the development of underwater acoustic sensor networks.

🌟 Awards and Honors

  • Served as a volunteer reviewer for esteemed journals and conferences, including:
    • IET Communications
    • Electrical Letters
    • IEEE Access
    • IEEE Transactions on Green Communication and Networking
    • IEEE Conference on Communication

Publication Top Notes:

Energy-efficient two-way full-duplex relay transmission strategy with SWIPT and direct links

Energy-Efficient Adaptive Bidirectional Transmission Strategy in Simultaneous Wireless Information and Power Transfer (SWIPT)-Enabled Cognitive Relay Network

A REVIEW OF KEY TECHNOLOGIES OF SHORE POWER SYSTEMS

Energy-efficient Full-duplex Transmission Strategy Design with SWIPT

Energy-Efficient Amplify-and-Forward Full-Duplex Transmission Strategy

Mr. Qing Li | Disaster Detection Awards | Best Researcher Award

Mr. Qing Li | Disaster Detection Awards | Best Researcher Award

Mr. Qing Li, China Jiliang University, China

Qing Li is a distinguished educator and researcher in the field of electrical engineering, with a particular focus on disaster monitoring technology and instruments. After beginning her career in various roles, including a loader and teacher, she pursued her studies in Industrial Electrical Automation at Harbin Institute of Technology, graduating in 1982. She then worked as a microwave circuit designer and researcher at the Shanghai New Asia Wireless Power Plant until 1985, when she joined China University of Metrology. Over the years, Qing has held several prestigious positions, including the current director of the National Local Joint Engineering Laboratory for Disaster Monitoring Technology and Instruments. Her contributions to education and research have been recognized with numerous awards, including the National Excellent Teacher Award and multiple first-place recognitions in teaching and scientific achievements. Qing’s dedication to her field is further demonstrated by her leadership in projects that promote technological advancement, earning her accolades such as the China Patent Excellence Award and recognition as a Leading Talent in the National “Ten Thousand Talents Plan.” Her extensive career reflects a commitment to excellence in both teaching and innovation in the engineering sector.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Qing Li

Qing Li demonstrates exceptional qualifications and a substantial impact in his field, making him a strong candidate for the Best Researcher Award. His career, spanning over four decades, includes significant contributions to industrial electrical automation, disaster monitoring technology, and education in metrology.

Education 🎓

  • Industrial Electrical Automation
    Harbin Institute of Technology, 1978 – 1982

Work Experience 💼

  • Loader, Teacher, Radio and Electrical Repairman
    Various roles from 1974 to 1978
  • Microwave Circuit Designer and Researcher
    Shanghai New Asia Wireless Power Plant (Ministry of Aerospace), 1982 – 1985
  • Teaching and Researcher
    China University of Metrology, March 1985 – Present

    • Current Position: Director, National Local Joint Engineering Laboratory for Disaster Monitoring Technology and Instruments

Achievements 🌟

  • Significant contributions to education and research in the field of metrology and disaster monitoring technology.
  • Led and participated in numerous research projects and initiatives.

Awards and Honors 🏆

  1. First Prize for Teaching Achievements in Zhejiang Province (2002) – Ranked First
  2. Zhejiang Province Higher Education Teaching Master Award (2003)
  3. Young and Middle-aged Scientific and Technological Personnel with Outstanding Contributions in Zhejiang Province (2003)
  4. Third Prize in Zhejiang Science and Technology Awards (2003, 2005) – Ranked First
  5. First Prize for Excellent Natural Science Paper in Zhejiang Province (2003) – Ranked First
  6. Second Prize for Teaching Achievements in Zhejiang Province (2005) – Ranked Fifth
  7. National Excellent Teacher (2007)
  8. May Day Labor Medal of Zhejiang Province (2007)
  9. Second Prize of Zhejiang Science and Technology Award (2010) – Ranked First
  10. Second Prize of “Science and Technology Driven Inspection” Award by the General Administration of Quality Supervision, Inspection and Quarantine of China (2011)

Publication Top Notes:

An omnidirectional low-frequency wave vibration energy harvester with complementary advantages of pendulum and gyroscope structures

Low-Power and Wireless Communication Research on Underground Displacement Three-Dimensional Monitoring System

Research on Wireless Power Transmission Technology for Underground Deformation 3-D Measurement Device

Design of Miniaturized Sensing Unit for Underground Displacement Three-Dimensional Measurement Sensor

Use of Temporal Convolutional Network with an Attention Mechanism and a Bidirectional Gated Recurrent Unit to Capture and Predict Slope Debris Flow Risk