Faten Chibani | Environmental Science | Best Researcher Award

Dr. Faten Chibani | Environmental Science | Best Researcher Award

Dr. Faten Chibani at ISG Gabès, Tunisia

Dr. Faten Chibani is a seasoned academic and researcher with a Ph.D. in Finance and Accounting Methods from the Faculty of Economics and Management of Sfax. She has held key academic positions since 2010, currently serving as a lecturer and Quality & Accreditation Manager at ESSAT Gabès. Her research focuses on corporate finance, CSR, and the integration of AI in sustainable finance, with several publications in international journals. She has led national and international projects and holds multiple certifications, including in ISO 21001 and AI. Dr. Chibani actively contributes to scientific councils and research networks across Tunisia and beyond.

📚Professional Profile

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Scopus 

Orcid

🎓Academic Background

Dr. Faten Chibani holds a Ph.D. in Finance and Accounting Methods from the Faculty of Economics and Management, Sfax, earned with high honors. She also completed a Research Master’s in Finance and Insurance and two Professional Master’s degrees—one in Financial Engineering and another in Integrated Management Quality–Safety–Environment. Her academic journey began with a Bachelor’s degree in Finance from ISG Gabès and a High School Diploma in Mathematics. Her education is marked by a strong focus on finance, corporate governance, and quality systems, laying a solid foundation for her subsequent research, teaching, and professional contributions in academia and beyond.

💼Professional Experience

Dr. Faten Chibani has over a decade of diverse professional experience combining academia, research, and institutional management. Since 2020, she has served as Quality and Accreditation Manager at ESSAT Gabès, where she oversees academic standards, audits, and accreditation processes including ISO 21001 and ASIIN. She has taught finance, accounting, and project management at institutions such as ISG Gabès and ESSAT, contributing to curriculum development and departmental coordination. Her experience also includes internships in finance and procurement departments of major Tunisian companies. This blend of teaching, administrative leadership, and practical engagement underscores her multifaceted professional profile.

🏆Awards and Honors

Dr. Faten Chibani has consistently demonstrated academic and professional excellence throughout her career. She earned high distinctions in multiple degrees, including “Highly Honorable” for her Ph.D. in Finance and Accounting Methods and “Very Good” honors in her professional and research master’s programs. Her scholarly work has been recognized through publication in internationally indexed journals, contributing to the fields of finance, corporate social responsibility, and sustainable development. Additionally, her leadership in institutional accreditation and research projects has earned her respected positions on scientific councils and editorial boards, reflecting her commitment to quality, innovation, and academic advancement.

🔬Research Focus

Dr. Faten Chibani’s research centers on corporate finance, capital structure, and corporate social responsibility, with a growing emphasis on integrating artificial intelligence into sustainable finance and governance practices. Her work explores how institutional frameworks influence CSR disclosure and corporate reputation across industries and regions. She has contributed to international projects linking environmental management with emerging technologies and financial resilience during economic shocks. Her recent studies investigate AI-driven solutions for clean technology and knowledge mining, reflecting an interdisciplinary approach. Through these efforts, she aims to bridge financial theory with practical tools for responsible business and environmental impact.

📋Publication Top Notes

📘 The impact of country‐level institutional differences on corporate social responsibility disclosure engagement
Year: 2019 | Cited by: 71

📘 Corporate Governance and CSR Disclosure: International Evidence for the Period 2006–2016
Year: 2022 | Cited by: 4

📘 Bridging sustainable finance, AI, and clean technology amid economic shocks: How are they connected in median and extreme conditions?
Year: 2025

📘 HOW IMPORTANT IS CSR COMMITMENT IN SHAPING CORPORATE REPUTATION?
Year: 2024

📘 Does Corporate Social Responsibility Always Enhance Corporate Reputation? A Cross-Industry Study
Year: 2023

📘 Examining the Effects of Familiness on the Capital Structure: The Case of French Family Firm
Year: 2022

🏷️Conclusion

Dr. Faten Chibani is a distinguished scholar with a Ph.D. in Finance and Accounting Methods and a strong academic background marked by multiple master’s degrees and international research experience in France. With over a decade of teaching in finance, accounting, project management, and quality systems, she currently serves as a lecturer and Quality & Accreditation Manager at ESSAT Gabès. Her impactful research integrates finance, CSR, and AI, with several publications in renowned international journals. She has led both national and international projects and holds certifications in ISO 21001 and Artificial Intelligence, reflecting her leadership, innovation, and strong suitability for the Best Researcher Award.

 

 

Qinsi He | Climate Change | Best Researcher Award

Dr. Qinsi He | Climate Change | Best Researcher Award

Associate Professor at Inner Mongolia Agricultural University, China

Dr. Qinsi He is an Associate Professor at Inner Mongolia Agricultural University, with a Ph.D. from the University of Technology Sydney and a Master’s from China Agricultural University. Her research explores the impacts of climate change and human activities on agroecosystems through process-based modeling and machine learning. 🌾 She has published 19 papers in reputed journals and collaborated with institutions such as Iowa State University and Peking University. 💡 Her notable work includes contributions to the NSW Climate Change Strategy and the NSF CAREER program, earning recognition for advancing sustainable agricultural practices through innovative, AI-driven approaches. 🌍

🏷️Professional Profile

Orcid

Scopus

🎓Academic Background

Dr. Qinsi He holds a strong academic foundation in agricultural and environmental sciences. She earned her Ph.D. from the University of Technology Sydney in Australia, where she specialized in climate change impacts on agroecosystems. Prior to that, she completed her Master’s degree at China Agricultural University, one of the leading institutions in agricultural research in China. Her education has equipped her with interdisciplinary expertise, blending environmental science, data analytics, and sustainable agriculture. 📘 Through her academic journey, she developed a solid background in process-based modeling and AI-driven research, forming the basis for her impactful contributions to global sustainability challenges.

💼Professional Experience

Dr. Qinsi He currently serves as an Associate Professor at Inner Mongolia Agricultural University, where she leads research on sustainable agroecosystems. From 2022 to 2023, she worked as a Professional Officer in Climate Research under the NSW Primary Industries Climate Change Research Strategy, publishing three significant papers. 🌍 In 2023–2024, she contributed as an AI-based modeller for the NSF CAREER (1945036) program at the Iowa Nutrient Research Center. Her work integrates climate science, machine learning, and agricultural sustainability. She maintains active collaborations with top institutions such as Iowa State University and Peking University, enhancing global research impact.

🔬Research Focus

Dr. Qinsi He’s research is centered on understanding the effects of climate change and human management on agroecosystems. She employs a combination of process-based modeling and artificial intelligence techniques to explore sustainable agricultural practices. 🌾 Her work aims to develop nature-based solutions that promote long-term ecosystem health and productivity. Key research areas include soil organic carbon dynamics, AI-based data mining, and the development of integrated models for food-energy-water-carbon nexus analysis. By addressing global sustainability challenges, her research contributes to the advancement of resilient and adaptive agricultural systems in the face of environmental and climatic uncertainties.

📝Publication Top Notes

Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change
📅 2025 | Resources Environment and Sustainability | Cited by: 6

The lag response time of reference evapotranspiration to VPD and air temperature is influenced by both climate and vegetation: Evidence from Inner Mongolia, China
📅 2024 | Preprint

Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change
📅 2023 | Agriculture, Ecosystems & Environment

Nutrients and temperature additively enhance wood carbon fluxes
📅 2023 | Preprint

Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia
📅 2022 | Agricultural Systems

🏆Conclusion

Dr. Qinsi He is an accomplished Associate Professor at Inner Mongolia Agricultural University with a Ph.D. from the University of Technology Sydney and a Master’s from China Agricultural University. Her research integrates climate change impact analysis, sustainable agroecosystem development, AI-based data mining, and process-based modeling. With 19 peer-reviewed publications in SCI and Scopus-indexed journals and notable citation impact—including 21 citations for a single paper in one year—she has demonstrated significant research influence. Dr. He has collaborated with esteemed institutions such as Iowa State University, Peking University, and the University of Western Australia, and has played key roles in major international projects like the NSF CAREER and NSW Climate Change Strategy. Her interdisciplinary expertise and contributions to climate-agriculture integration establish her as a highly deserving candidate for the Best Researcher Award.