Assist. Prof. Dr. Lechen Li | Signal Processing | Best Researcher Award

Assist. Prof. Dr. Lechen Li | Signal Processing | Best Researcher AwardΒ 

Assist. Prof. Dr. Lechen Li, Hohai University, China

Lechen Li is an Assistant Professor at the College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China. He received his Ph.D. in Engineering Mechanics from Columbia University in 2023, where his research focused on smart grid development, data-driven system control, and computational structural dynamics. Prior to that, he earned an M.S. in Data Science from Columbia University, supported by the Robert A.W. and Christine S. Carleton Scholarship, and a B.S. in Engineering Mechanics from Sichuan University, where he won the First Prize in the Zhou Peiyuan National Mechanics Modeling Contest. His current research spans infrastructure intelligent monitoring, data-driven seepage analysis, computational dynamics, and renewable energy optimization. Dr. Li has presented award-winning work at major international conferences such as the 8th World Conference on Structural Control and Monitoring and has collaborated on interdisciplinary projects involving smart electricity networks and structural health monitoring.

Professional Profile:

SCOPUS

πŸ… Summary of Suitability for Best Researcher Award

Dr. Lechen Li is a highly promising and accomplished early-career researcher whose interdisciplinary work spans Engineering Mechanics, Data Science, and Infrastructure Monitoring. His exceptional academic background, innovative research in intelligent structural control, and impactful contributions to renewable energy systems make him an excellent candidate for the Best Researcher Award.

πŸŽ“ Education

  • Ph.D. in Engineering Mechanics
    Columbia University, USA (09/2019 – 06/2023)
    πŸ” Research: Smart Grid, Structural Dynamics, Signal Processing
    πŸ“Š GPA: 3.889/4.0

  • M.S. in Data Science
    Columbia University, USA (09/2018 – 08/2019)
    πŸ’‘ Focus: Neural Networks, Dynamical Systems
    πŸ“š Robert A.W. and Christine S. Carleton Scholarship
    πŸ“Š GPA: 3.917/4.0

  • B.S. in Engineering Mechanics
    Sichuan University, China (09/2014 – 06/2018)
    🧠 Strong foundation in Mechanics & Modelling
    πŸ“Š GPA: 3.6/4.0
    πŸ₯‡ First Prize in Zhou Peiyuan National Mechanics Modeling Contest (2017)
    πŸ… First Prize Scholarship (Twice between 2014–2016)

πŸ§‘β€πŸ« Current Position

  • Assistant Professor
    College of Water Conservancy and Hydropower Engineering, Hohai University, China (06/2023 – Present)
    🌊 Research: Infrastructure Intelligent Monitoring, Seepage Control, Computational Dynamics, Renewable Energy.

πŸ§ͺ Research & Projects

  • Structural Control & Health Monitoring
    Columbia University (2021 – 2023)
    πŸ€– Developed a Generalized Auto-Encoder (GAE) for damage detection
    πŸŽ™οΈ Presented at 8WCSCM, awarded Best Conference Paper (2022) πŸ†

  • Smart Grid for Residential Buildings
    Columbia University (2019 – 2020)
    ⚑ Built ConvLSTM neural network for intelligent load control
    πŸ“ˆ Improved forecasting accuracy by 16%

πŸ’Ό Industry Experience

  • Data Research Analyst
    CICT, Colombo, Sri Lanka (12/2017 – 03/2018)
    🚒 Applied ML for port logistics & road paving optimization
    πŸ” Designed reinforcement learning system for transportation planning

  • CAE Analyst
    National Institute of Water, Energy & Transportation, China (06/2016 – 08/2016)
    πŸ—οΈ Simulated pile-soil stress using XFEM
    πŸ” Assessed 70% lateral pressure effects on platform-supported pile groups

πŸ… Achievements, Awards & Honors

  • πŸ₯‡ Best Conference Paper Award, 8WCSCM (2022)

  • πŸ“š Robert A.W. and Christine S. Carleton Scholarship (2018)

  • 🧠 First Prize, Zhou Peiyuan National Mechanics Modeling Contest (2017)

  • πŸŽ–οΈ Sichuan University First Prize Scholarship (2014–2016, twice)

PublicationΒ Top Notes:

Experimental Study on Dynamic Characteristics of Coarse-Grained Materials and Its Application on Numerical Analysis for Permanent Deformation of Rockfll Dams

Dr. Zhigang Zhu | Signal Processing Award | Best Researcher Award

Dr. Zhigang Zhu | Signal Processing Award | Best Researcher Award

Dr. Zhigang Zhu, Xidian University, China

Zhigang Zhu, born on October 27, 1989, is a distinguished postdoctoral researcher in the School of Electronic Engineering at Xidian University. With a robust educational foundation, Zhigang holds a Ph.D. in Control Science and Engineering from Xidian University. His academic journey began at Qingdao University of Technology, where he earned his undergraduate degree in Telecommunication Engineering in 2009.Zhigang’s expertise lies in deep learning and signal processing, with a keen focus on signal representation and recognition. His research achievements are substantial, having published over 20 SCI-indexed papers in prestigious journals such as Remote Sensing, IEEE TAES, IEEE TIM, and IEEE SPL. He is a recognized member of both the Chinese Institute of Electronics (CIE) and the Institute of Electrical and Electronics Engineers (IEEE).

Professional Profile

πŸŽ“ Education & Academic Achievements:

I hold a Ph.D. in Control Science and Engineering from Xidian University, completed in 2015. I began my academic journey with a Bachelor’s degree in Telecommunication Engineering from Qingdao University of Technology in 2009. Currently, I am a postdoctoral researcher in the School of Electronic Engineering at Xidian University. My specialization lies in deep learning and signal processing, particularly in signal representation and signal recognition.

πŸ“š Experience & Professional Engagements:

Since 2015, I have been deeply involved in research and academia. I have led numerous projects, including a significant initiative by the National Natural Science Foundation of China focused on deep learning. My work in electronics science and technology has earned me accolades such as the Shaanxi Higher Education Institutions Scientific Research Outstanding Achievement Award. Additionally, I have made substantial contributions to the field by publishing over 20 SCI-indexed papers in renowned journals like IEEE TAES and IEEE TIM.

🌐 Research & Contributions:

My research interests include computer vision, signal processing, and deep learning. I have been recognized with multiple national and provincial awards for my innovative research and entrepreneurial efforts. As a member of both the Chinese Institute of Electronics (CIE) and the Institute of Electrical and Electronics Engineers (IEEE), I actively contribute to the scientific community. I have also guided a student team to win prestigious awards in competitions such as the Shaanxi Provincial Internet+ Innovation and Entrepreneurship Competition.

πŸ† Recognition & Impact:

My dedication to advancing technology and fostering innovation has been recognized through various awards, including the Excellence Award at the National Post-Doctoral Innovation and Entrepreneurship Competition. I strive to inspire the next generation of researchers and apply my work for the benefit of society.

 

.Publications Notes:πŸ“„