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

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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 Bachelorā€™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. Liuā€™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

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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 Bachelorā€™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

 

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

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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.

šŸŒĀ 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. šŸŽ“

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. šŸ“ˆ

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. šŸ“Š

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. šŸ‘©ā€šŸ«

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. šŸ› ļø

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