Shiyu Liu – Engineering – Best Researcher Award

Shiyu Liu - Engineering - Best Researcher Award

Hebei University - China

AUTHOR PROFILE

SCOPUS

SHIYU LIU: RESEARCHER IN AI-BASED MONITORING πŸ”¬

Shiyu Liu, currently a lecturer and postdoctoral researcher at Hebei University, has been making significant contributions in the field of spectral detection and analysis using artificial intelligence. His primary research revolves around spectral detection, machine learning, and AI-driven health monitoring systems for lithium-ion batteries, bringing innovative solutions to environmental monitoring and engineering applications.

AI-DRIVEN BATTERY MONITORING πŸ”‹

Liu's work focuses on the health monitoring of lithium-ion batteries through artificial intelligence techniques. He combines electrochemical impedance spectroscopy with machine learning to accurately predict battery capacity and health. This research is vital for improving battery longevity, particularly in electric vehicles and sustainable energy systems, where battery performance is crucial.

SPECTRAL ANALYSIS & AI ALGORITHMS πŸ“Š

Liu's expertise extends to spectral detection and analysis, utilizing AI-based algorithms for processing near-infrared (NIR) spectroscopy data. His research aims to address issues such as high noise interference and spectral peak overlap, which often hinder accurate detection of complex organic compounds. By integrating machine learning and chemometric methods, he strives for precision in environmental pollutant measurement and industrial applications.

INNOVATIVE PROJECTS & PARTNERSHIPS 🀝

Shiyu Liu has actively contributed to several national and provincial projects, including the National Natural Science Foundation of China. His projects range from detecting environmental pollutants using spectral analysis to developing remote sensing image processing algorithms for space applications. These collaborations underscore his role in advancing both environmental science and technology.

CUTTING-EDGE PUBLICATIONS πŸ“š

Liu has published extensively in prestigious journals, such as Fuel and Spectrochimica Acta, with a focus on using AI techniques for diesel fuel analysis and NIR spectroscopy. His innovative approach combines deep learning with spectral data to enhance the accuracy of fuel property detection, contributing to advancements in both energy and environmental fields.

PROFESSIONAL ENGAGEMENTS & PRESENTATIONS 🎀

Liu actively participates in international conferences, presenting his research findings to global audiences. Notably, he presented at the 2023 UNIfied International Conference in the UK, where he shared insights on battery health monitoring using AI. His academic activities also include contributions to forums on infrared technology, further solidifying his reputation in AI-driven research.

AWARDS & RECOGNITIONS πŸ†

Shiyu Liu has received several prestigious awards, including the CSC Scholarship for his visiting PhD tenure at the University of Huddersfield. His accolades also include national scholarships, recognition as an β€œexcellent graduate,” and top prizes in mathematical and physics competitions. These honors reflect his commitment to academic excellence and innovation in his field.

NOTABLE PUBLICATION

Title: Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Yuan, Y.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2023

Title: A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery
Authors: Zhao, X., Wang, Z., Liu, S., Gu, F., Ball, A.
Conference: ICAC 2023 - 28th International Conference on Automation and Computing
Year: 2023

Title: Markov Transform Field Coupled with CNN Image Analysis Technology in NIR Detection of Alcohols Diesel
Authors: Liu, S., Wang, S., Hu, C., Kong, D.
Conference: Mechanisms and Machine Science
Year: 2023

Title: Rapid and accurate determination of diesel multiple properties through NIR data analysis assisted by machine learning
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Wang, J.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2022

Title: Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning
Authors: Liu, S., Wang, S., Hu, C., Bi, W.
Journal: Fuel
Year: 2022

Zhixiong Liu – ENVIRONMENTAL-FRIENDLY FUNCTIONAL MATERIALS – Best Researcher Award

Zhixiong Liu - ENVIRONMENTAL-FRIENDLY FUNCTIONAL MATERIALS - Best Researcher Award

SHANXI DATONG UNIVERSITY - China

AUTHOR PROFILE

SCOPUS
ORCID

PROFESSIONAL JOURNEY 🏒

Zhixiong Liu, an esteemed chemist, has been making significant strides in the field of chemistry and chemical engineering. Currently an Associate Professor at the School of Chemistry and Chemical Engineering, Shanxi Datong University, Dr. Liu has been dedicated to advancing research in nanomaterials and environmental protection since June 2019.

RESEARCH EXPERIENCE & INNOVATION 🌱

Dr. Liu’s research journey began in the Institute of Chemistry at the Chinese Academy of Sciences, where he earned his Ph.D. under the guidance of Prof. Qinghua Fan. His postdoctoral work at the Ningbo Institute of Industrial Technology, under the mentorship of Prof. Xuedong Wu and Prof. Liping Wang, further solidified his expertise in developing marine functional materials and hybrid hydrogels. At Shanxi Datong University, Dr. Liu has led groundbreaking projects focusing on heteroatoms-coped carbon dots (CDs) and their applications in metal protection and toxic ion detection.

ACADEMIC BACKGROUND πŸŽ“

Zhixiong Liu received his B.S. in Chemistry from Xiangtan University and his Ph.D. in Organic Chemistry from the Institute of Chemistry, Chinese Academy of Sciences. His academic pursuits laid the foundation for his innovative research and contributions to the field.

PROJECT LEADERSHIP & FUNDING πŸ“Š

Dr. Liu has successfully managed multiple research projects funded by prestigious institutions, including the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His work on nano-materials and soft hydrogels has garnered significant attention and funding, reflecting the impact and importance of his research.

PUBLICATIONS & IMPACT πŸ“š

With numerous publications to his name, Dr. Liu has contributed extensively to the scientific community. His research on CDs-based materials for environmental applications and marine functional materials for antifouling has been published in well-regarded journals, showcasing his expertise and innovation in chemistry.

RECOGNITION & ACHIEVEMENTS πŸ†

Dr. Liu's dedication and contributions to chemistry have earned him recognition and respect within the academic and scientific communities. His innovative approaches and commitment to environmental protection through chemistry continue to inspire and drive progress in the field.

FUTURE ENDEAVORS 🌟

As Dr. Liu continues his work at Shanxi Datong University, his future endeavors will undoubtedly focus on furthering research in nanomaterials, environmental protection, and sustainable chemistry. His vision and expertise position him as a leading figure in the ongoing quest for scientific advancement and environmental sustainability.

NOTABLE PUBLICATION

Clinical characteristics and treatment strategies for pituitary adenoma associated with intracranial aneurysm.

Authors: Xuan Gao, Ming Zhang, Bing Bai, Chengwei Li, Xuan Zhao, Wutao Cheng, ...
Journal: World Neurosurgery
Volume: 112
Year: 2018

Causal association and shared genetics between telomere length and COVID-19 outcomes: New evidence from the latest large-scale summary statistics.

Authors: Massimo Mangino, Claire J. Steves, Panos Deloukas, Tim D. Spector, Cristina Menni
Journal: eLife
Volume: 10
Year: 2021

Recent advances in carbon dots as powerful ecofriendly corrosion inhibitors for copper and its alloy.

Authors: Fan Yang, Jinhao Zhang, Long Wei, Xiaotong Xie, Weifeng Dong, .
Journal: Carbon
Volume: 170
Year: 2020

Aptamer modified Ti3C2 nanosheets application in smart targeted photothermal therapy for cancer.

Authors: Hongwei Zhang, Xingxing Xu, Min Hu, Bingqiang Song, Ying Wang, ...
Journal: ACS Applied Materials & Interfaces
Volume: 12
Year: 2020

A novel ratiometric fluorescent probe based on dual-emission carbon dots for highly sensitive detection of salicylic acid.

Authors: Linlin Zhang, Jinsheng Zhai, Hongwei Zhang, Yan Liu, Jing Bai, ...
Journal: Sensors and Actuators B: Chemical
Volume: 293
Year: 2019