Prof. Wan Quan Liu | Big Data Analysis | Best Researcher Award

Posted on by ScienceFather

Prof. Wan Quan Liu | Big Data Analysis | Best Researcher Award

Prof. Wan Quan Liu, Sun Yat-sen University, China

Prof. Wan Quan Liu is a prominent professor at the School of Intelligent System Engineering at Sun Yat-sen University, where he has been serving since 2021. He earned his Ph.D. in Electrical Engineering from Shanghai Jiaotong University (1991-1993) and holds a Master of Science in Operational Research and Control from the Institute of Systems Science at the Chinese Academy of Science (1985-1988), as well as a Bachelor’s degree in Mathematics from Qufu Normal University (1981-1985). Previously, he was an ARC Fellow and Senior Lecturer at Curtin University of Technology from 2000 to 2021. Prof. Liu’s research focuses on computer vision, deep learning networks, optimization, and intelligent control systems, where he has made significant contributions that advance these fields.

Professional Profile

Scopus
Orcid

Suitability for the Best Researcher Award:

Prof. Wan Quan Liu’s combination of an extensive educational background, significant research contributions, and recognition in the form of awards makes him an excellent candidate for the Best Researcher Award. His work in computer vision, deep learning, and intelligent control systems is highly relevant in today’s technology-driven landscape, with implications for various sectors including robotics, automation, and artificial intelligence.

The recognition he has received, both at the national and provincial levels, further solidifies his status as a leading researcher in his field. His ongoing research and publications contribute to advancements in critical technologies, making a tangible impact on both academia and industry.

Educational Background:

Prof. Wan Quan Liu earned his PhD in Electrical Engineering from Shanghai Jiaotong University (1991-1993). He holds a Master of Science in Operational Research and Control from the Institute of Systems Science at the Chinese Academy of Science (1985-1988) and a Bachelor’s degree in Mathematics from Qufu Normal University (1981-1985).

Academic Experience:

Currently, Prof. Liu is a professor at the School of Intelligent System Engineering at Sun Yat-sen University (2021-present). Prior to this, he held various positions, including ARC Fellow and Senior Lecturer at Curtin University of Technology (2000-2021).

Research Interests:

Prof. Liu specializes in computer vision, deep learning networks, optimization, and intelligent control systems, contributing significantly to advancements in these fields.

Awards and Recognition:

His exceptional work has earned him several accolades, including:

  • 2023: National Talented Researcher from the National Education Committee
  • 2022: Pearl Leading Researcher from Guangdong Province

Publication Top Notes:

  • Title: AFS-FCM with Memory: A Model for Air Quality Multi-dimensional Prediction with Interpretability
    • Publication Year: 2024
  • Title: Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection
    • Publication Year: 2024
  • Title: Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification
    • Publication Year: 2024
  • Title: FedREM: Guided Federated Learning in the Presence of Dynamic Device Unpredictability
    • Publication Year: 2024
  • Title: Invertible Residual Blocks in Deep Learning Networks
    • Publication Year: 2024

 

Prof Dr. Weixu liu | Big Data Award | Best Researcher Award

Posted on by ScienceFather

Prof Dr. Weixu liu | Big Data Award | Best Researcher Award

Prof Dr. Weixu liu, Anhui Medical University, China

Associate Professor Weixu Liu of Anhui Medical University’s Department of Computer Science earned his Ph.D. from Zhejiang University in 2022. Specializing in big data analysis, machine learning, non-destructive evaluation, and structural health monitoring, Dr. Liu has published over 20 peer-reviewed articles and holds numerous patents and software copyrights. A senior member of the China Instrument and Control Society and the Chinese Society for Vibration Engineering, he has been recognized with multiple teaching awards, including a third-class prize in Anhui Province. His leadership in significant projects, such as the Anhui Provincial Outstanding Young Talent Project, and his involvement in national key R&D plans underscore his impactful contributions to the field of computer science and engineering.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Assoc. Prof. Dr. Weixu Liu is a highly suitable candidate for the Research for Best Researcher Award due to his significant contributions to the fields of big data analysis, machine learning, non-destructive evaluation, and structural health monitoring. His academic achievements, extensive research activities, and innovative contributions highlight his excellence in research and development.

🎓 Academic Expertise

Associate Professor, Department of Computer Science, Anhui Medical University 🎓
Weixu Liu is an accomplished Associate Professor, Deputy Director, and Master Supervisor at Anhui Medical University’s Department of Computer Science. He earned his Ph.D. from Zhejiang University in 2022.

Research Interests and Contributions

Dr. Liu’s research focuses on big data analysis, machine learning, non-destructive evaluation, and structural health monitoring. He has published over 20 peer-reviewed journal articles and holds more than ten national invention patents, twenty utility model patents, and ten national computer software copyrights. His work has been supported by various government and corporate grants.

Professional Achievements

Dr. Liu is a senior member of the China Instrument and Control Society and a member of the Chinese Society for Vibration Engineering. He has received multiple awards for his teaching achievements, including a third-class prize in Anhui Province. He has led several significant projects, including Anhui Provincial Outstanding Young Talent Project and various municipal and national science and technology projects.

Innovations and Impact

Dr. Liu’s research has resulted in substantial scientific and technological advancements, including a conversion of achievements worth 500,000 RMB. His involvement in national key R&D plans and extensive project experience highlights his significant role in advancing the field of computer science and engineering.

Publication Top Notes:

  • Title: Multi-Feature Integration and Machine Learning for Guided Wave Structural Health Monitoring: Application to Switch Rail Foot
    • Citations: 20
    • Year: 2021
  • Title: Numerical Investigation of Locating and Identifying Pipeline Reflectors Based on Guided-Wave Circumferential Scanning and Phase Characteristics
    • Year: 2020
    • Open Access: Yes
  • Title: Sprouting Potato Recognition Based on Deep Neural Network GoogLeNet
    • Citations: 5
    • Year: 2018
  • Title: Phase Characteristic Analysis and Experimental Study on the Guided Wave Reflected from Expressway Guardrail Posts
    • Citations: 3
    • Year: 2017
  • Title: Numerical Simulation and Experimental Investigation on Ultrasonic Guided Waves in Multilayered Pipes Based on SAFE
    • Citations: 14
    • Year: 2014

 

 

Mrs. Marta Zorrilla | Big data Award | Best Researcher Award

Posted on by ScienceFather

Mrs. Marta Zorrilla | Big data Award | Best Researcher Award

Mrs. Marta Zorrilla, University of cantabria, Spain

Mrs. Marta Zorrilla is a distinguished academic with a Ph.D. in Telecommunication Engineering from Universidad de Cantabria, Spain, complemented by a Bachelor’s and Master’s in the same field. With an H-Index of 10 on Web of Science and 19 on Google Scholar, and 1232 citations, her research has significantly impacted Learning Analytics, Educational Data Mining, and Big Data Technologies. She has developed frameworks for MOOCs, a reference architecture for Big Data, and leads a national R&D project on data stream mining for Industry 4.0. Mrs. Zorrilla has held various teaching and management roles, including Vice-Dean and Director of the Teaching Staff Area at Universidad de Cantabria. She is also a key member of the Software Engineering and Real-Time Group (ISTR), contributing to software engineering, real-time systems, and data science.

🌍 Professional Profile

Orcid

Suitability for the Best Researcher Award

  1. Academic and Research Impact: Mrs. Zorrilla’s research contributions in document databases, learning analytics, big data technologies, and data governance have had a significant impact. Her high citation count and substantial H-index reflect the influence and recognition of her work.
  2. Innovative Contributions: Her pioneering work in developing frameworks for data governance and learning analytics, as well as her contributions to big data technologies, demonstrate innovation and practical applications in critical areas of technology and industry.
  3. Leadership and Mentorship: Mrs. Zorrilla has played a key role in mentoring PhD researchers and has been involved in numerous national and European research projects. Her leadership in these areas highlights her commitment to advancing research and supporting the next generation of scholars.
  4. Teaching Excellence: Her long-standing teaching role and management positions at Universidad de Cantabria showcase her dedication to education and academic administration, further enhancing her profile as a distinguished researcher.
  5. Proven Track Record: Her extensive list of publications, including articles in high-impact journals, and her role in major research projects demonstrate a robust and successful research career.

Academic Qualifications:

She holds a Bachelor in Telecommunication Engineering, a Master in Telecommunication, and a PhD in Telecommunication Engineering, all from Universidad de Cantabria, Spain. 🎓

Research Indicators:

With an H-Index of 10 (Web of Science) and 19 (Google Scholar), and 1232 citations, Mrs. Zorrilla has made substantial contributions to her field. She has 5 Quinquenios and 2 Sexenios. 📈

Research Achievements:

Her early career saw the development of a neural network engine and the founding of Predictia. She has made significant contributions to Learning Analytics and Educational Data Mining, including frameworks for MOOCs and a European project. Her work in Big Data Technologies includes a reference architecture and benchmarks for technology configuration. She has also developed a data governance framework and is the Principal Investigator for a national R&D project on data stream mining for Industry 4.0. 📊

Teaching and Management Roles:

Mrs. Zorrilla has extensive teaching experience in database technologies and data management. She has held management roles including Vice-dean, head of studies, and Director of the Teaching Staff Area at Universidad de Cantabria. 👩‍🏫

Research Group CV Summary:

She is active in the Software Engineering and Real-Time Group (ISTR), focusing on software engineering, real-time systems, databases, and data science, contributing to numerous projects and publications. 🛠️

Publication Top Notes:

  • Title: Fleet Management Systems in Logistics 4.0 Era: A Real-Time Distributed and Scalable Architectural Proposal
    • Year: 2023
  • Title: An I4.0 Data Intensive Platform Suitable for the Deployment of Machine Learning Models: A Predictive Maintenance Service Case Study
    • Year: 2022
  • Title: A Reference Framework for the Implementation of Data Governance Systems for Industry 4.0
    • Year: 2022
  • Title: A Big Data-Centric Architecture Metamodel for Industry 4.0
    • Year: 2021
  • Title: A Data Governance Framework for Industry 4.0
    • Year: 2021

 

 

Assoc Prof Dr. Huaqiao Xing | Big Data Analysis | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Huaqiao Xing | Big Data Analysis | Best Researcher Award

Assoc Prof Dr. Huaqiao Xing, Shandong Jianzhu University, China

👨‍🎓 Assoc Prof Dr. Huaqiao Xing, a distinguished scholar at Shandong Jianzhu University in China, is a beacon of academic excellence. 🏛️ Navigating the scholarly terrain with determination and brilliance, he has cultivated a deep reservoir of knowledge and expertise. Driven by a fervor for learning and discovery, Dr. Xing stands as a paragon of dedication to education. 🌐 His educational journey at Shandong Jianzhu University has shaped him into a knowledgeable individual poised to contribute meaningfully to both his field and society at large. As a visionary researcher, his expertise delves into cutting-edge fields, notably land cover change detection, unraveling the dynamics of our planet’s surface in environmental studies. 🌍 Proficient in Geospatial web service and online geoprocessing, he champions the integration of technology to enhance geographical information systems (GIS). 💻🌱 Dr. Xing’s research not only reveals the evolving landscapes but also contributes to the advancement of digital tools, paving the way for a more informed and sustainable future.

🎓 Education :

👨‍🎓 Dr. Huaqiao Xing is a distinguished scholar hailing from China, with his educational roots firmly grounded in the prestigious Shandong Jianzhu University. 🏛️ Armed with knowledge and expertise, he has undoubtedly navigated the academic landscape with determination and brilliance. 🌐 Driven by a passion for learning and discovery, he represents the epitome of dedication and excellence in education. 🌟 His journey at Shandong Jianzhu University has undoubtedly shaped him into a knowledgeable individual ready to contribute meaningfully to his field and society as a whole. 🚀🌏

🌐 Professional Profiles : 

Google Scholar

Scopus

🧠 Research Interests 🔬🌐 :

🌐 Dr. Huaqiao Xing, a visionary researcher, specializes in cutting-edge fields that redefine our understanding of the world. 🌍 His expertise spans across land cover change detection, a crucial aspect in environmental studies, unraveling the dynamics of our planet’s surface. 📊 In addition, his proficiency in Geospatial web service and online geoprocessing propels the integration of technology to enhance geographical information systems (GIS). 💻 Dr. Xing’s research not only unveils the evolving landscapes but also contributes to the advancement of digital tools that facilitate efficient geospatial analysis. 🌱 His work embodies the intersection of technology and environmental science, paving the way for a more informed and sustainable future. 🚀🔍

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 52 documents indexed in Scopus.
  • 📊 Citations: A total of 287 citations for his publications, reflecting the widespread impact and recognition of Dr. Huaqiao Xing’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 379 📖
    • h-index: 11 📊
    • i10-index: 14 🔍
  • Since 2018:
    • Citations: 346 📖
    • h-index: 11 📊
    • i10-index: 14 🔍

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

Publications Top Notes  :

1.  Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China

Published in Scientific Reports (2022)

Cited by 28 articles

2.  V-RSIR: An open access web-based image annotation tool for remote sensing image retrieval

Published in IEEE Access (2019)

Cited by 27 articles

3.  A stacking ensemble deep learning model for building extraction from remote sensing images

Published in Remote Sensing (2021)

Cited by 22 articles

4.  Integrating change magnitude maps of spectrally enhanced multi-features for land cover change detection

Published in International Journal of Remote Sensing (2021)

Cited by 17 articles

5.  O-LCMapping: A Google Earth Engine-based web toolkit for supporting online land cover classification

Published in Earth Science Informatics (2021)

Cited by 15 articles

6.  A service relation model for web-based land cover change detection

Published in ISPRS Journal of Photogrammetry and Remote Sensing (2017)

Cited by 15 articles

7.  An adaptive change threshold selection method based on land cover posterior probability and spatial neighborhood information

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

Cited by 14 articles

8.  Exploiting low dimensional features from the MobileNets for remote sensing image retrieval

Published in Earth Science Informatics (2020)

Cited by 13 articles

9.  An attention-enhanced end-to-end discriminative network with multiscale feature learning for remote sensing image retrieval

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022)

Cited by 12 articles

10.  Two novel benchmark datasets from ArcGIS and Bing World Imagery for remote sensing image retrieval

Published in International Journal of Remote Sensing (2021)

Cited by 12 articles