Ms. Lixiang Chen | Analysis Award | Best Researcher Award

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Ms. Lixiang Chen | Analysis Award | Best Researcher Award

Ms. Lixiang Chen | Analysis Award | Taiyuan University of Technology | China

Ms. Lixiang Chen is an accomplished researcher and academician currently serving at Taiyuan Institute of Technology, China, where she has been a dedicated faculty member contributing to the advancement of economic and technological research. With a Ph.D. in Economics, Ms. Lixiang Chen has developed extensive expertise in innovation networks, performance budgeting systems, defense resource allocation, and strategic economic management, emphasizing how macroeconomic frameworks can optimize technological growth and policy execution. Her academic journey has been marked by her deep analytical insight into economic behavior modeling and technology policy development, enabling her to bridge the gap between theoretical economics and practical industrial applications. Professionally, Ms. Chen has participated in multiple interdisciplinary projects and international collaborations that explore the intersection of innovation economics, resource allocation mechanisms, and the emerging new energy vehicle industry, contributing significantly to both academic and policy discourse. Her research interests include innovation networks within industrial ecosystems, performance-based budgeting for governmental and defense sectors, and sustainable economic planning, all of which align closely with the global shift toward smart and sustainable economic transformation. In terms of research skills, Ms. Chen is proficient in quantitative data analysis, econometric modeling, policy evaluation, and cross-disciplinary research synthesis, enabling her to produce impactful, data-driven research outcomes that are both academically rigorous and policy-relevant. Her body of work has been recognized through multiple peer-reviewed publications in high-impact journals indexed in Scopus and IEEE, establishing her as a respected contributor to the fields of economics, technology management, and innovation systems.

Professional Profile: ORCID

Selected Publications

  1. Chen, L. (2025). Innovation Networks in the New Energy Vehicle Industry: A Dual Perspective of Collaboration Between Supply Chain and Executive Networks. World Electric Vehicle Journal. Cited by: 3

  2. Chen, L. (2021). The Evolution and Implications of the Planning, Programming, Budgeting, and Execution System. China Economist. Cited by: 8

  3. Chen, L. (2021). The Impact of Performance Budgeting on Defense Resource Allocation. International Journal of Economic Behavior and Organization. Cited by: 12

  4. Chen, L. (2020). PPBE: Research on Operation and Latest Development. American Journal of Theoretical and Applied Business. Cited by: 6

  5. Chen, L. (2020). The U.S. Department of Defense’s “Medium-Term Expenditure Framework” and Its Implications. National Defense Science & Technology. Cited by: 5

Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

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Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

Assoc. Prof. Dr. Junfeng Chen, Hohai University, China

Junfeng Chen is an accomplished Associate Professor at the College of Artificial Intelligence and Automation at Hohai University in Changzhou, Jiangsu, China. She holds a Ph.D. in Control Science and Engineering from Zhejiang University, where her dissertation focused on stagnation analysis of computational intelligence approaches. Chen also completed her M.Sc. in Automation at Harbin University of Science and Technology, concentrating on multi-sensor information fusion and its applications in mobile robotics. With a career at Hohai University spanning over a decade, she has progressed from Associate Lecturer to Lecturer, and now to Associate Professor, contributing significantly to the fields of artificial intelligence and automation. Her research interests encompass various aspects of computational intelligence, and she has published several papers in reputable journals, reflecting her commitment to advancing knowledge in her field.

Professional Profile:

ORCID

Suitability of Junfeng Chen for the Best Researcher Award

Based on the provided Curriculum Vitae, Junfeng Chen (陈俊风) demonstrates strong qualifications and achievements that make her a suitable candidate for the Best Researcher Award. Here are the key points supporting this opinion.

Education 🎓

  • Ph.D. in Control Science and Engineering
    Zhejiang University (ZJU), Hangzhou, Zhejiang, P. R. China
    Sep. 2007 – Sep. 2011
    Dissertation Topic: Stagnation Analysis of a Class of Computational Intelligence Approaches
    Supervisor: Prof. Tiejun Wu
  • M.Sc. by Research in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 2001 – Apr. 2004
    Dissertation Topic: Multi-sensor Information Fusion and Its Application in Mobile Robots
    Supervisor: Prof. Hua Sun
  • B.Sc. in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 1997 – Jul. 2001

Work Experience 💼

  • Associate Professor
    College of Artificial Intelligence and Automation, Hohai University (HHU), Changzhou, China
    Jan. 2015 – Present
  • Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Aug. 2007 – Dec. 2014
  • Associate Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Apr. 2004 – Jun. 2007

Achievements & Awards 🏆

  • Best Paper Award
    Awarded for outstanding research publication at the International Conference on Artificial Intelligence and Automation (ICAA).
  • Research Grant Recipient
    Received funding for research on multi-sensor information fusion from the National Natural Science Foundation of China.
  • Excellent Teacher Award
    Recognized for excellence in teaching at Hohai University, awarded by the College of Artificial Intelligence and Automation.
  • Outstanding Contribution Award
    Honored for significant contributions to the field of computational intelligence and automation at national conferences.

Publication Top Notes:

 

Dr. Nicoletta Bianchini | Analysis Awards | Women Researcher Award

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Dr. Nicoletta Bianchini | Analysis Awards | Women Researcher Award 

Dr. Nicoletta Bianchini, University of West London, United Kingdom

Nicoletta Bianchini is a dedicated PhD candidate in Civil Engineering, specializing in Seismic Engineering, with a robust background as an architect and bridge engineer. She holds a PhD from the University of Minho in Portugal, where her research focused on the seismic response of masonry cross vaults, utilizing shaking table tests and numerical analysis. Her academic journey includes an M.Sc. in Structural Analysis of Historic Constructions from the same institution, complemented by her previous studies in Building Engineering – Architecture at the University of Genoa, Italy.

Professional Profile:

ORCID

Summary of Suitability for Women Researcher Award

Overview: Dr. Nicoletta Bianchini is an accomplished researcher and engineer in the field of civil engineering, with a specific focus on seismic engineering and the preservation of historical structures. Her extensive educational background and diverse research experience make her a suitable candidate for the Research for Women Researcher Award.

Education

  1. University of Minho, Guimarães, Portugal
    • PhD Candidate in Seismic Engineering (Historic Masonry Structure group)
      • Dates: January 2019 – July 2023
      • Thesis: Evaluation of the seismic response of masonry cross vaults through shaking table tests and numerical analysis.
      • Advisors: Prof. Paulo Lourenço and Dr. Nuno Mendes
    • M.Sc. in Structural Analysis of Historic Constructions
      • Dates: September 2017 – July 2018
      • Final Grade: 19/20
      • Integrated Project: Carmo Convent in Lisbon: in situ inspection, structural analysis, and retrofitting.
      • Thesis: Conserving the Bagan (Myanmar) built heritage: Structural assessment of the Loka-Hteik-Pan Temple.
      • Advisor: Dr. Nuno Mendes
  2. Sapienza University, Rome, Italy
    • Structural Design from Empirical Tradition
      • Date: June 2017
      • Lectures by: Prof. T. Boothby (Pennsylvania State University)
  3. University of Genoa, Genoa, Italy
    • M.Sc. in Building Engineering – Architecture
      • Dates: September 2011 – March 2016
      • Thesis: From observed damage to vulnerability curves for masonry buildings: the case of L’Aquila 2009 earthquake.
      • Advisors: Prof. Sergio Lagomarsino, Prof. Serena Cattari, Dr. Daria Ottonelli

Work Experience

  1. AtkinsRéalis, Epsom, England
    • Position: Structural Engineer in Bridges & Civils Department
    • Dates: September 2023 – Present
    • Responsibilities:
      • Design bearing replacement schemes.
      • Assessment of existing masonry bridges and planning their strengthening interventions, as well as conducting in-situ tests.
      • Collaboration with colleagues, stakeholders, and clients.
  2. RELUIS, Rome and Central Italy
    • Position: Structural Engineer
    • Dates: October 2016 – June 2017
    • Responsibilities:
      • Conducted post-earthquake in situ surveys of monumental and historic buildings (e.g., churches, palaces) and strategic buildings (e.g., hospitals, schools) as part of state of emergency efforts across Central Italy.
      • Assessed the condition of damaged structures and the level of risk for people and surroundings.
      • Provided instructions to the Fire Department regarding provisional structural works to ensure a minimum level of safety.
      • Surveyed listed archaeological sites and monuments in Rome (e.g., Terme Caracalla, Santa Maria in Trastevere, Santa Maria del Popolo) to assess their damage and vulnerability.

Publication top Notes:

Shake-Table Testing of a Brick Masonry Groin Vault: Overview of Blind Predictions and Postdictions and Comparison with Experimental Results

Influence of wall-to-floor connections and pounding on pre- and post-diction simulations of a masonry building aggregate tested on a shaking table

Simulation of blind pre-diction and post-diction shaking table tests on a masonry building aggregate using a continuum modelling approach

Preservation and Protection of Cultural Heritage: Vibration Monitoring and Seismic Vulnerability of the Ruins of Carmo Convent (Lisbon)

Modelling of the Dynamic Response of a Full-Scale Masonry Groin Vault: Unstrengthened and Strengthened with Textile-Reinforced Mortar (TRM)

Dr. Faten Derouez | Quantitative Analysis Award | Best Researcher Award

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Dr. Faten Derouez | Quantitative Analysis Award | Best Researcher Award

Dr. Faten Derouez, King Faisal University, Saudi Arabia

Dr. Faten Mouldi Derouez is an accomplished Assistant Professor in the Quantitative Methods Department at King Faisal University, Saudi Arabia. With a Ph.D. in Economics from the University of Sousse, Tunisia, Dr. Derouez has a robust academic background specializing in spatial econometrics and the development of the middle class. Her career spans multiple institutions, including the Higher Institute of Technological Studies of Sidi Bouzid and the Faculty of Economics and Management of Mahdia University of Manastir, where she has taught various modules in mathematics, statistics, and econometrics. Dr. Derouez is actively involved in research and has contributed to several innovative projects, such as the Desert Oasis OliveGro and VentilaAI. Her dedication extends beyond teaching, as she engages in scientific conferences, workshops, and continuous self-development. She is also an ad-hoc reviewer for prominent journals and supervises graduate students focusing on risk management and economic tourism. Dr. Derouez is passionate about enhancing educational practices and leading her department towards academic excellence.

Professional Profile:

ORCID

 

Summary of Suitability for Best Researcher Award:

Dr. Faten Mouldi Derouez has demonstrated an outstanding commitment to research and academia, making her a strong candidate for the Best Researcher Award. As an Assistant Professor with a robust academic background in economics, econometrics, and quantitative methods, she has made significant contributions to her field. Her academic journey includes a Ph.D. in Science Economics from the University of Sousse, Tunisia, where she specialized in spatial econometrics and the dynamics of the middle class.

Education

  • 2019 – 2020: Ph.D. in Science Economics, University of Sousse, Tunisia.
    • Dissertation Title: “Spatial Dynamics and the Formation of the Tunisian Middle Class: A Spatial Econometric Approach”
    • Advisor: Mohamed Amin Hammas, Ph.D.
  • 2013 – 2014: Research Master (M.R) in Economic Engineering and Applied Econometrics, University of Sousse, Tunisia.
    • Dissertation Title: “Training the Middle Class Using the Discrete Choice Model: A Case Study from Tunisia”
    • Advisor: Radwan Filali, Ph.D.
  • 2009 – 2010: Diploma Degree in Science Economics, University of Sousse, Tunisia.
    • Specialty: Economics and Applied Mathematics
  • 2005 – 2006: Baccalauréat (Undergraduate Degree) in Mathematics, Sahline School of Monastir, Tunisia.

Work Experience

  • Fall 2023 – Present: Assistant Professor, Quantitative Method Department, College of Business Administration, King Faisal University, Saudi Arabia.
    • Modules Taught:
      • Math Algebra and Analysis
      • Descriptive Statistics
      • Statistical Methods
      • Quantitative Method
      • Research Method
      • Data Analysis
      • Mathematics Finance
  • Fall 2022 – 2023: Assistant Professor, Quantitative Method Department, College of Business Administration, King Faisal University, Saudi Arabia.
    • Modules Taught:
      • Math Algebra and Analysis
      • Descriptive Statistics
      • Statistical Methods
      • Research Method
      • Calculus for Business
      • Mathematics Finance
  • Fall 2020 – 2021: Assistant Professor, Faculty of Economics and Management, University of Manastir, Tunisia.
    • Modules Taught:
      • Math Algebra and Analysis
      • Descriptive Statistics
      • Data Analysis
      • Econometrics
      • Mathematics Finance
  • Fall 2019 – 2020: Assistant Professor, Faculty of Economics and Management, University of Manastir, Tunisia.
    • Modules Taught:
      • Math Algebra
      • Mathematics Finance
  • 2019 – 2020: Assistant Professor, Private Faculty of Management and Administration Sciences, University of Sousse, Tunisia.
    • Modules Taught:
      • Math Analysis
      • Business and Data Analysis
  • 2018 – 2019: Temporary Assistant, Faculty of Economics and Management, University of Sousse, Tunisia.

 

Publication top Notes:

Energy, technology, and economic growth in Saudi Arabia: An ARDL and VECM analysis approach

Energy Transition and Poverty Alleviation in Light of Environmental and Economic Challenges: A Comparative Study in China and the European Union Region

Sustainable Food Security: Balancing Desalination, Climate Change, and Population Growth in Five Arab Countries Using ARDL and VECM

Assessing the Impact of Oil Price Volatility on Food Prices in Saudi Arabia: Insights From Nonlinear Autoregressive Distributed Lags (NARDL) Analysis

Harnessing Institutional Agility for a More Effective and Efficient Government Organization