Prof. Yanlong Tai | Machine Learning | Best Researcher Award

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Prof. Yanlong Tai | Machine Learning | Best Researcher Award

Prof. Yanlong Tai, shenzhen institute of science and technology, China academic of science, China

Prof. Dr. Yanlong Tai is a distinguished researcher and professor in the field of smart sensing and flexible electronics. He is the Principal Investigator of the Smart-Sensing-Lab (SM-SE Lab.-SIAT) and serves as the Head of both the SIAT-UAEU International Smart Sensing & Energy Joint Lab and the SIAT-Fudan University (Zhuhai) Joint Innovation Center. Currently, he is a Full Professor at the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), China, and a Joint Professor at the University of Science & Technology Shenzhen. Dr. Tai earned his Ph.D. from Fudan University, China (2009-2012), and was a visiting student at OHM University, Germany (2011-2012). He also holds Bachelor’s and Master’s degrees from Anhui University (2001-2008). His professional journey includes extensive research experience across multiple international institutions. He served as a Postdoctoral Researcher at University of California, Davis, USA (2012-2013), Fraunhofer ENAS, Chemnitz, Germany (2013-2014), and KAUST, Saudi Arabia (2014-2017). He later worked as a Research Scientist at Masdar Institute, UAE (2017-2019) before joining SIAT as a Professor in 2019.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award – Prof. Dr. Yanlong Tai

Prof. Dr. Yanlong Tai is an outstanding researcher and innovator, making him a highly suitable candidate for the Best Researcher Award. His extensive experience, leadership roles, and impactful research in smart materials, energy harvesting, and wearable electronics position him as a global leader in advanced sensing technologies.

🎓 Education

  • Ph.D. (2009 – 2012) – Fudan University, China

  • Visiting Student (2011 – 2012) – OHM University, Germany

  • Bachelor & Master Degree (2001 – 2008) – Anhui University, China

💼 Work Experience

  • Professor (2019 – Present) – Shenzhen Institutes of Advanced Technology (SIAT), CAS, China

  • Research Scientist (2017 – 2019) – Masdar Institute, United Arab Emirates

  • Postdoc Researcher (2014 – 2017) – King Abdullah University of Science and Technology (KAUST), Saudi Arabia

  • Postdoc Researcher (2013 – 2014) – Fraunhofer ENAS, Chemnitz, Germany

  • Postdoc Researcher (2012 – 2013) – University of California, Davis, USA

🏆 Achievements, Awards & Honors

  • 📌 Principal Investigator of Smart-Sensing-Lab (SM-SE Lab.-SIAT)

  • 🏅 Head of SIAT-UAEU International Smart Sensing & Energy Joint Lab

  • 🏅 Head of SIAT-Fudan University (Zhuhai) Joint Innovation Center

  • 🎖️ Full Professor at SIAT, CAS, Shenzhen, China

  • 🎖️ Joint Professor at the University of Science & Technology, Shenzhen

Publication Top Notes:

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Prof. Chaoying Tang | Data Mediator | Best Researcher Award

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Prof. Chaoying Tang | Data Mediator | Best Researcher Award

Prof. Chaoying Tang, University of Chinese Academy, China

Chaoying Tang is a professor at the School of Economics and Management, University of Chinese Academy of Sciences, specializing in creativity development and management. She earned her Ph.D. in Management Science from the Graduate School of the Chinese Academy of Sciences in 2005 and has since led numerous research projects funded by the National Natural Science Foundation of China and the Ministry of Science and Technology. Her work explores breakthrough innovation in high-tech industries, R&D team creativity, and knowledge networks. She has received several prestigious awards, including the President’s Honorary Award of the Chinese Academy of Sciences and the Zhu Liyuehua Excellent Teacher Award. As a dedicated researcher and educator, she has contributed significantly to the study of innovation management and talent development in scientific and technological fields.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award – Prof. Chaoying Tang

Professor Chaoying Tang is a highly accomplished researcher in creativity development and management, with a strong record of leading national and international research projects. Her work on breakthrough innovation, R&D team creativity, and knowledge networks has contributed significantly to the field of management science and innovation studies.

🎓 Education & Work Experience

  • Ph.D. in Management Science (2005) – Graduate School of the Chinese Academy of Sciences
  • Professor – School of Economics and Management, University of Chinese Academy of Sciences
  • Researcher – Specializing in creativity development and management

🏆 Achievements

  • Led multiple National Natural Science Foundation of China (NSFC) projects, focusing on breakthrough innovation, high-tech industries, and R&D team creativity
  • Chaired an Innovation Method Research project under the Ministry of Science and Technology
  • Participated in the EU Erasmus+ CReativity E-Modules in Education project (2015-2018)
  • Conducted research on the management system of German Science & Technology Societies

🎖 Awards & Honors

  • 🏅 President’s Honorary Award – Chinese Academy of Sciences (2004)
  • 🥉 Third Prize – Beijing Science and Technology Progress Award (2006)
  • 🥈 Second Prize – Teaching Achievement Award, Chinese Academy of Sciences (2008)
  • 📜 Best Conference Paper Award – International Technology Innovation Management Conference (2009)
  • 🏆 Annual Best Paper – International Journal of Chinese Human Resources Management (2012)
  • 🏅 Best Reviewer Award – Creativity and Innovation Management (SSCI) (2020)
  • 🎓 Zhu Liyuehua Excellent Teacher Award – Chinese Academy of Sciences (2021)

Publication Top Notes:

Navigating Inter-Team Competition: How Information Broker Teams Achieve Team Innovation

FsQCA analysis of differences of two kinds of scientific and technological talents’ growth environment

Intrinsic motivation and knowledge sharing in the mood–creativity relationship

The influence of subjective norms and science identity on academic career intentions

The effects of creative personality on scientist creativity

Assist Prof Dr. Jamil J. Jaber | Predictive Modeling Award | Best Researcher Award

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Assist Prof Dr. Jamil J. Jaber | Predictive Modeling Award | Best Researcher Award

Assist Prof Dr. Jamil J. Jaber , Applied Science Private University, Jordan

Dr. Jamil J. Jaber is an Assistant Professor in the Department of Finance at The University of Jordan, Aqaba branch. Born on July 19, 1985, in Jordan, he holds a Ph.D. in Statistics with a specialization in Actuarial Statistics and Credit Risk from Universiti Kebangsaan Malaysia (UKM), where he earned the Central Bank of Jordan & Hussein Fund for Excellence award for the best Ph.D. dissertation in the Finance and Banking Sector. Dr. Jaber also holds a Master’s degree in Finance and Investment from Hashemite University and a Bachelor’s degree in Actuarial Science from the University of Jordan. With extensive experience in academia, Dr. Jaber has served as an Assistant Professor at the Applied Science Private University since September 2023, where he teaches undergraduate and graduate courses in Banking, Finance, FinTech, and Risk Management. He has also held instructor positions at The University of Jordan and Hashemite University, where he taught various courses related to financial risk management and insurance.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Dr. Jamil J. Jaber demonstrates exceptional qualifications and achievements that make him a strong candidate for the Best Researcher Award. His extensive academic and research background, particularly in the areas of actuarial statistics and financial risk management, underscores his expertise and impact in the field.

Education:

  1. PhD in Statistics (Actuarial Statistics and Credit Risk)
    • Institution: Universiti Kebangsaan Malaysia (UKM), Malaysia
    • Completion Date: August 2021
    • CGPA: Excellence
    • Dissertation Title: “Modeling of Corporate Credit Risks using Actuarial Techniques”
    • Note: UKM is ranked 129th in QS World University Rankings 2022/2023 and 141st in 2021/2022.
  2. Master in Finance and Investment
    • Institution: Hashemite University, Zarqa, Jordan
    • Completion Date: August 2010
    • CGPA: Excellence
  3. Bachelor in Actuarial Science
    • Institution: University of Jordan, Amman, Jordan
    • Completion Date: June 2007
    • CGPA: Very Good

Work Experience:

  1. Assistant Professor in Actuarial Statistics and Financial Risk
    • Institution: Division of Banking and Finance, The Applied Science Private University, Jordan
    • Duration: September 2023 – Present
    • Responsibilities:
      • Teaching undergraduate programs such as BA in Banking and Finance Management, BA in Financial Technology (FinTech), and risk management.
      • Teaching graduate programs such as MA in Finance and Risk Management.
  2. Instructor in Risk Management and Insurance / Finance
    • Institution: Department of Finance, The University of Jordan, Jordan
    • Duration: September 2012 – Present
    • Courses Taught:
      • Financial Risk Management
      • Credit Management
      • Financial Derivatives
      • Portfolio Management
      • Investment Management
      • Risk Assessment
      • Computer Applications for Finance and Risk Management
      • Essentials of Actuarial Sciences
      • Special Topics in Risk Management and Insurance
      • Insurance Companies Management
      • Property and Liability Insurance
      • Life and Health Insurance
      • Principle of Insurance
      • Sampling Theory and its Application
  • Actuarial Consultation
    • Actuarial and Financial Study for various associations and councils, including the Jordan Nurses and Midwives Council, Jordanian Geology Association, and Jordanian Dental Association.
    • Consultation on Actuarial Statistics, including comprehensive evaluations in collaboration with the United States Agency for International Development (USAID) and the Ministry of Investment in Jordan.
  • Academic Experience:
    • Member of the proceedings and scientific committee for the 5th International Conference on Mathematical Sciences (ICMS5 2023) at Universiti Kebangsaan Malaysia (UKM), Malaysia.
    • Contributor to the planning and scientific committees for undergraduate programs at the Department of Finance, The University of Jordan, Jordan (2013 – Present).

Publication top Notes:

Evaluation of Total Risk-Weighted Assets in Islamic Banking through Fintech Innovations

Enhancing Predictive Accuracy through the Analysis of Banking Time Series: A Case Study from the Amman Stock Exchange

Multi-Layer Perceptron-Based Classification with Application to Outlier Detection in Saudi Arabia Stock Returns

Enhancing Predictive Accuracy of Insurance Stock Market in Jordan using Hyprid GFS.Thrift Model: A Genetic Fuzzy System-based Fintech Approach

Selection process real-life application for new type complex neutrosophic sets using various aggregation operators

A predictive modeling for health expenditure using neural networks strategies