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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🎓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.

 

 

Hao Gong | Soil Science | Best Researcher Award

Assoc. Prof. Dr. Hao Gong | Soil Science | Best Researcher Award

Assoc. Prof. Dr. Hao Gong at South China Agricultural University, China

Dr. Hao Gong is a full-time teacher at South China Agricultural University specializing in agricultural mechanization engineering. With a PhD in the field, Dr. Gong has contributed significantly to intelligent agricultural machinery and seed-soil interaction research. He has published 15 peer-reviewed articles in high-impact journals such as Computers and Electronics in Agriculture, Soil and Tillage Research, and Agronomy. His interdisciplinary work bridges agricultural engineering and computational modeling, advancing both academic knowledge and practical applications. Dr. Gong’s innovative spirit is reflected in multiple granted patents, and he actively leads and collaborates on key national research projects in China.

Publication Profile

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Academic Background

Dr. Hao Gong holds a PhD in Agricultural Mechanization Engineering from a recognized institution in China. His academic training equipped him with a robust understanding of agricultural systems, mechanical design, and computational methods. During his doctoral studies, he specialized in the interaction between agricultural machinery and biological systems, which laid the foundation for his later innovations in intelligent farming technologies. His education emphasized both theoretical depth and practical experimentation, enabling him to model complex processes like seed germination and develop new tools for agricultural measurement and automation.

Professional background

Dr. Gong serves as a full-time faculty member at South China Agricultural University, where he is actively engaged in teaching, mentoring, and conducting research. He is currently the Principal Investigator for a sub-project under China’s National Key R&D Program and a participant in multiple NSFC-funded projects. He has hands-on experience in project management, interdisciplinary collaboration, and engineering-based innovation. With research roles extending over six years, he brings applied insight into smart agricultural equipment, modeling techniques, and patent development. His work also includes contribution to advanced simulation models and sensor-based agricultural solutions.

Awards and Honors

Dr. Hao Gong has received recognition for his scientific contributions, particularly through his involvement in nationally significant R&D projects. His patents reflect his commitment to applied research and agricultural innovation. Though no specific awards are listed, his patent grants from the China National Intellectual Property Administration, publications in top-tier journals, and active roles in competitive government-funded programs serve as indirect evidence of professional honor. His work is gaining increasing citation traction and peer acknowledgment in the academic and applied engineering communities.

Research Focus

Dr. Gong’s research is centered on intelligent agricultural machinery and the dynamic interaction between agricultural equipment, soil, and crops. Using advanced modeling tools like the Discrete Element Method (DEM), he explores seed germination and emergence under varying soil conditions. He has developed specialized devices to measure seedling emergence and germination forces and proposed DEM-based models to simulate seed growth. His research addresses critical bottlenecks in precision agriculture and soil-machine interaction, aiming to enhance automation, efficiency, and productivity in modern farming systems.

Publication Top Notes

Simulation analysis of fertilizer discharge process using the Discrete Element Method (DEM)
📅 Year: 2020 | 📊 Cited by: 34 | 🧪 DEM, fertilizer flow, agri-engineering

Benefits of mechanical weeding for weed control, rice growth characteristics and yield in paddy fields
📅 Year: 2023 | 📊 Cited by: 31 | 🌱 Weed control, rice yield, field study

Modelling of paddy soil using the CFD-DEM coupling method
📅 Year: 2023 | 📊 Cited by: 26 | 🧬 CFD-DEM, soil modeling, mechanization

Simulation of canola seedling emergence dynamics under different soil compaction levels using the discrete element method (DEM)
📅 Year: 2022 | 📊 Cited by: 18 | 🧑‍🌾 Seed emergence, soil compaction, DEM

Conclusion

Dr. Hao Gong is a highly qualified and competitive nominee for the Best Researcher Award, with a PhD in Agricultural Mechanization Engineering and a strong focus on intelligent agricultural machinery and soil-crop interaction modeling using the Discrete Element Method (DEM). He has published 15 SCI/Scopus-indexed papers in reputable journals such as Computers and Electronics in Agriculture, Soil and Tillage Research, and Agronomy, and has contributed to several national-level research initiatives, including as Principal Investigator in a National Key R&D Program sub-task. His innovative work is further demonstrated by four granted/published patents related to agricultural measurement and modeling systems. With 143 citations, his research influence is steadily growing, and his interdisciplinary contributions to precision agriculture position him as a strong candidate for this prestigious recognition.