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

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

🏅 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.

🎓 Education

Ph.D. in Engineering Mechanics
Columbia University, USA (09/2019 – 06/2023)
🔍 Research: Smart Grid, Structural Dynamics, Signal Processing
📊 GPA: 3.889/4.0
M.S. in Data Science
Columbia University, USA (09/2018 – 08/2019)
💡 Focus: Neural Networks, Dynamical Systems
📚 Robert A.W. and Christine S. Carleton Scholarship
📊 GPA: 3.917/4.0
B.S. in Engineering Mechanics
Sichuan University, China (09/2014 – 06/2018)
🧠 Strong foundation in Mechanics & Modelling
📊 GPA: 3.6/4.0
🥇 First Prize in Zhou Peiyuan National Mechanics Modeling Contest (2017)
🏅 First Prize Scholarship (Twice between 2014–2016)

🧑‍🏫 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.

🧪 Research & Projects

Structural Control & Health Monitoring
Columbia University (2021 – 2023)
🤖 Developed a Generalized Auto-Encoder (GAE) for damage detection
🎙️ Presented at 8WCSCM, awarded Best Conference Paper (2022) 🏆
Smart Grid for Residential Buildings
Columbia University (2019 – 2020)
⚡ Built ConvLSTM neural network for intelligent load control
📈 Improved forecasting accuracy by 16%

💼 Industry Experience

Data Research Analyst
CICT, Colombo, Sri Lanka (12/2017 – 03/2018)
🚢 Applied ML for port logistics & road paving optimization
🔁 Designed reinforcement learning system for transportation planning
CAE Analyst
National Institute of Water, Energy & Transportation, China (06/2016 – 08/2016)
🏗️ Simulated pile-soil stress using XFEM
🔍 Assessed 70% lateral pressure effects on platform-supported pile groups

🏅 Achievements, Awards & Honors

🥇 Best Conference Paper Award, 8WCSCM (2022)
📚 Robert A.W. and Christine S. Carleton Scholarship (2018)
🧠 First Prize, Zhou Peiyuan National Mechanics Modeling Contest (2017)
🎖️ Sichuan University First Prize Scholarship (2014–2016, twice)

Publication Top Notes:

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

Mr. Yeonjae Park, The Graduate School of Yonsei University, South Korea

Yeonjae Park is a Master’s student at Yonsei University in the Department of Medical Informatics and Biostatistics, under the guidance of Professor Dae Ryong Kang. With a strong foundation in Computer and Telecommunication Engineering as well as Information and Statistics, Park obtained dual B.S. degrees from Yonsei University, where they were mentored by Professors Cho Young-rae and Na Seongyong. Their research interests span machine learning, deep learning, generative models, multi-modal data analysis, and time series forecasting. Park has gained valuable research experience through various positions, including as a researcher intern at the Artificial Intelligence-Information Retrieval Lab, a researcher at the Applied Data Science Lab, and their current role at the National Health BigData Clinical Research Institute. Their projects encompass a range of topics, from text extraction and OCR recognition to complex analyses in genomics, disease correlations, and the effectiveness of medical treatments.

Summary of Suitability for Best Scholar Award:

Yeonjae Park has a strong academic foundation, holding dual Bachelor’s degrees in Computer and Telecommunication Engineering and Information and Statistics from Yonsei University, one of South Korea’s most prestigious institutions. Currently, Yeonjae is pursuing a Master’s degree in Medical Informatics and Biostatistics at the same university, under the guidance of a notable advisor, Dae Ryong Kang.

Education 📚

Samseon Middle School, Seoul, Korea (Mar. 2010 ~ Jul. 2010)

SungSan Middle School, Seoul, Korea (Jul. 2010 ~ Feb. 2013)

Kwangsung High School, Seoul, Korea (Mar. 2013 ~ Feb. 2016)

Yonsei University, Department of Computer and Telecommunication Engineering 🖥️ (Mar. 2016 ~ Aug. 2021)

B.S. in Computer and Telecommunication Engineering
Advisor: Prof. Cho Young-rae

Yonsei University, Department of Information and Statistics 📊 (Feb. 2016 ~ Aug. 2021)

B.S. in Information and Statistics
Advisor: Prof. Na Seongyong

Yonsei University, Department of Medical Informatics and Biostatistics 🧬 (Aug. 2021 ~ Present)

Master Student
Advisor: Prof. Dae Ryong Kang

Research Experiences 💼

Researcher Intern at Artificial Intelligence-Information Retrieval Lab, Yonsei University, Korea (May. 2019 ~ Apr. 2020)

Researcher at Applied Data Science Lab, Yonsei University, Korea (May. 2020 ~ Jan. 2021)

Researcher at National Health BigData Clinical Research Institute, Korea (Jan. 2021 ~ Present)

Publication top Notes: