Mr. Yan hui Wu | Machine Learning Awards | Best Researcher Award

Mr. Yan hui Wu | Machine Learning Awards | Best Researcher Award

Mr. Yan hui Wu , Hebei University of Engineering , China

Yanhui Wu is a Senior Engineer at the School of Mining and Surveying Engineering, Hebei University of Engineering. He completed his Ph.D. in Geophysical Exploration and Information Technology at the China University of Mining and Technology (Beijing) in 2023. He also holds an M.Sc. in the same field from the China University of Geosciences (Beijing) and a B.Sc. in Computer Science and Technology from Hebei University of Technology. Wu’s career includes nearly a decade at the Geological Geophysical Center, Hebei Coal Science Research Institute, Jizhong Energy Group, where he served as a Senior Engineer. He has participated in significant research projects, including the Ministry of Science and Technology’s National Key R&D Program on dynamic intelligent detection technology for hidden disaster geological factors in coal mines. Wu’s research has been published in several renowned journals, with notable works on seismic multiattribute machine learning, fault evaluation, and collapse column prediction in coal strata.

Professional Profile:

Orcid

 🎓Education:

Yanhui Wu holds a Ph.D. in Geophysical Exploration and Information Technology from the China University of Mining and Technology (Beijing), which he completed in June 2023. He also earned an M.Sc. in the same field from the China University of Geosciences (Beijing) in June 2010. Additionally, Wu has a B.Sc. in Computer Science and Technology from Hebei University of Technology, which he obtained in June 2007.

 🏢Work Experience:

Yanhui Wu currently serves as a Senior Engineer at the School of Mining and Surveying Engineering, Hebei University of Engineering. Prior to this role, he held a Senior Engineer position at the Geological Geophysical Center of Hebei Coal Science Research Institute, part of the Jizhong Energy Group, from August 2010 to July 2019.

Publication Top Notes:

  • Application of seismic multiattribute machine learning to determine coal strata thickness
    • Published Year: 2021
    • Journal: Journal of Geophysics and Engineering
    • Cited by: 834-844
  • Quantitative Evaluation of Faults by Combined Channel Wave Seismic Transmission-Reflection Detection Method
    • Published Year: 2022
    • Journal: Minerals
    • Cited by: 1022-1032
  • Precise prediction of the collapse column based on channel wave spectral disparity characteristics and velocity tomography imaging
    • Published Year: 2022
    • Journal: Journal of Geophysics and Engineering
    • Cited by: 326-335
  • Application research of combined detection of transmission and reflection slot waves for small structures—Taking Longquan Mining Area in Shanxi as an example
    • Published Year: 2021
    • Journal: Progress in Geophysics
    • Cited by: 1325-1332

Prof Dr. Renato Sousa Lima | Big Data Analysis

Prof Dr. Renato Sousa Lima : Leading Researcher in Big Data Analysis

Prof Dr. Renato Sousa Lima, Centro Nacional de Pesquisa em Energia e Materiais, Brazil

🌟 Dr. Renato Sousa Lima is a researcher at the National Nanotechnology Laboratory (LNNano/CNPEM) and the Coordinator of the Diagnostic Subprogram in the Health R&D Program at CNPEM. He serves as a Visiting Professor in various Postgraduate Programs, including IQ/UNICAMP, IQSC/USP, and NMA/UFABC. With a bachelor’s degree in Industrial Chemistry from UFPB, he pursued his master’s (2008-2010) and doctoral (2010-2013) studies in Sciences at IQSC/USP. 🔬

🔬 Dr. Lima completed postdoctoral research at IQ/UNICAMP (2014-2015) and Clemson University/USA (2023-2024). His research during postgraduate studies focused on Chemistry, specializing in micro/nanofabrication, microfluidics, and electrochemical devices for chemical analysis. Leading a research group, he aims to develop scalable, reproducible, and cost-effective electrochemical biosensors, enhancing testing throughput and accuracy using portable instrumentation. 📚

🔄 The group’s expertise includes device fabrication through techniques like pyrolysis and micro/nanofabrication, materials science employing thin films, nanomaterials, and nanostructured microstructures for sensor design, microfluidics, and machine learning. Dr. Lima has successfully supervised multiple master’s and doctoral theses, contributed as a reviewer for various prestigious journals, and authored over 60 scientific articles in publications such as Analytical Chemistry, ACS Sensors, ACS Applied Materials Interfaces, ACS Nano, and Advanced Healthcare Materials. 🧪👨‍🔬

Professional Profiles : 🌐

Google Scholar

ORCID

🧠 Research Interests 🌐 :

🏥 Sensors

🔬 Biosensors

🔍 Microfluidics

🧪 Nanomaterials

🌐 Research Project 🔬 :

💻 Since 2022, Dr. Renato Sousa Lima has been actively involved in a research project focusing on modifiable electrical and electrochemical biosensors with electrodes based on paper or micro/nanofabricated films. The objective is to develop rapid, point-of-care, and high-throughput COVID-19 tests. Leveraging advancements in surface chemistry, artificial intelligence, and nanodecorated electrodes-utilizing renewable materials and films produced through established methods in micro/nanoelectronics-the project aims to translate point-of-care COVID-19 diagnostics into clinical practice.

🌍🗨️ The emphasis on point-of-care and high-throughput testing is crucial for decentralizing medical care and providing clinical data for a significant number of individuals, thereby reducing the risks of infection. The flexible nature of the method also allows for potential extension to biomarkers of other diseases. The project is currently ongoing, highlighting its active status in the realm of research. 🧪🔬

🌍 Google Scholar Metrics:

  • All Time:
    • Citations: 1242 📖
    • h-index: 21 📊
    • i10-index: 39 🔍
  • Since 2018:
    • Citations: 774 📖
    • h-index: 16 📊
    • i10-index: 30 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications ( Top Note ) :

1.  Capacitively coupled contactless conductivity detection on microfluidic systems—ten years of development

Authors: WKT Coltro, RS Lima, TP Segato, E Carrilho, DP de Jesus, CL do Lago, …

Journal: Analytical Methods

Published Year: 2012, Cited By: 174

2.  Classification of edible vegetable oils using square wave voltammetry with multivariate data analysis

Authors: FF Gambarra-Neto, G Marino, MCU Araújo, RKH Galvão, MJC Pontes, …

Journal: Talanta

Published Year: 2009, Cited By: 72

3.  Point-of-use electroanalytical platform based on homemade potentiostat and smartphone for multivariate data processing

Authors: GF Giordano, MBR Vicentini, RC Murer, F Augusto, MF Ferrão, GA Helfer, …

Journal: Electrochimica Acta

Published Year: 2016, Cited By: 52

4.  Self-regenerating and hybrid irreversible/reversible PDMS microfluidic devices

Authors: LS Shiroma, MHO Piazzetta, GF Duarte-Junior, WKT Coltro, E Carrilho, …

Journal: Scientific Reports

Published Year: 2016, Cited By: 51

5.  Fabrication of glass microchannels by xurography for electrophoresis applications

Authors: PP de Santana, TP Segato, E Carrilho, RS Lima, N Dossi, MY Kamogawa, …

Published Journal: Analyst

Year: 2013, Cited By: 50

6.  An inexpensive, portable and microcontrolled near infrared LED-photometer for screening analysis of gasoline

Authors: E da Nóbrega Gaiao, SRB dos Santos, VB dos Santos, …

Journal: Talanta

Published Year: 2008, Cited By: 50

7.  Sacrificial adhesive bonding: a powerful method for fabrication of glass microchips

Authors: RS Lima, PAGC Leão, MHO Piazzetta, AM Monteiro, LY Shiroma, …

Journal: Scientific Reports

Published Year: 2015, Cited By: 38

8.  A microfluidic device with integrated fluorimetric detection for flow injection analysis

Authors: A Fonseca, IM Raimundo, JJR Rohwedder, RS Lima, MCU Araújo

Journal: Analytical and Bioanalytical Chemistry

Published Year: 2010, Cited By: 38

9.  A flow-batch analyzer with piston propulsion applied to automatic preparation of calibration solutions for Mn determination in mineral waters by ET AAS

Authors: LF Almeida, MGR Vale, MB Dessuy, MM Silva, RS Lima, VB Santos, …

Journal: Talanta

Published Year: 2007, Cited By: 34

10.  Glass/PDMS hybrid microfluidic device integrating vertically aligned SWCNTs to ultrasensitive electrochemical determinations

Authors: FC Moraes, RS Lima, TP Segato, I Cesarino, JLM Cetino, SAS Machado, …

Journal: Lab on a Chip

Published Year: 2012, Cited By: 31

11.  Monitoring the surface chemistry of functionalized nanomaterials with a microfluidic electronic tongue

Authors: FM Shimizu, AM Pasqualeti, FR Todão, JFA de Oliveira, LCS Vieira, …

Journal: ACS Sensors

Published Year: 2018, Cited By: 30