Henda omri | Economics | Best Scholar Award

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Assist. Prof. Dr. Henda omri | Economics | Best Scholar Award

👤 Assist. Prof. Dr. Henda omri, Higher Institute of Business Administration of gafsa, Tunisia

Dr. Henda Omri is an accomplished economist and Assistant Professor from Tunisia specializing in financial and behavioral economics. With a Ph.D. in Economics from Carthage University, her research focuses on entrepreneurship, well-being, corporate governance, and green finance. Over the years, she has held academic roles across Tunisian universities, teaching courses such as entrepreneurial skills, financial diagnosis, and taxation. Dr. Omri is passionate about exploring how governance quality and sustainable practices influence economic development and life satisfaction. Her work has been widely published in high-impact journals, with research contributions on topics like green finance and behavioral entrepreneurship. In addition to her academic achievements, Dr. Omri actively participates in international conferences and collaborations, showcasing her innovative ideas in economics. Fluent in Arabic, French, and English, she is also adept at econometric analysis using tools like STATA and EVIEWS, making her a versatile and forward-thinking academic leader.

Professional Profile 

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🌟  Summary of Dr. Henda Omri’s Suitability for the Research for Best Scholar Award

Dr. Henda Omri’s strong academic foundation and versatile research portfolio make her a highly suitable candidate for the Research for Best Scholar Award. Her expertise spans critical areas such as behavioral finance, green finance, entrepreneurship, corporate governance, and econometrics, showcasing her deep understanding of interdisciplinary topics. She has earned her Ph.D. in Economics from Carthage University, with a dissertation that integrates entrepreneurship, governance quality, and multidimensional well-being—a subject highly relevant to global economic development and social sustainability.

Dr. Omri’s research output is impressive, with numerous peer-reviewed publications in high-impact journals, such as Technological Forecasting and Social Change, International Entrepreneurship and Management Journal, and Research in International Business and Finance. These works address vital issues like environmental sustainability, life satisfaction, green finance, and entrepreneurial motivation in developing countries.

🎓 Education 

Dr. Henda Omri has a robust educational background in economics and finance. She earned her Ph.D. in Economics (2020–2023) from the Faculty of Economics and Management of Nabeul, Carthage University, with a dissertation on “Behavioral entrepreneurship and multidimensional well-being: The roles of governance quality.” She also holds a Master’s degree in Quantitative Finance (2016–2018) from the Faculty of Economics and Management of Mahdia, Monastir University, where her research explored the influence of oil price fluctuations and country risks on bank performance using a Panel ARDL approach. Her academic journey began with a Bachelor’s degree in Finance (2013–2016) from the same institution. Guided by her commitment to impactful research, Dr. Omri has collaborated with esteemed scholars and jury members from leading Tunisian and international universities. Her academic achievements underline her dedication to advancing knowledge in financial economics, behavioral entrepreneurship, and governance.

💼 Professional Experience 

Dr. Henda Omri brings a wealth of professional teaching experience from leading Tunisian universities. In 2024–2025, she served as a Contractual Assistant at the Higher Institute of Business Administration, Gafsa University, teaching economics-focused case studies. Previously, she held a position as Assistant Professor at the Higher Institute of Languages, Monastir University (2023–2024), where she taught entrepreneurial skills and taxation. From 2021–2023, she taught various finance-related courses at Gafsa University, including financial diagnosis, corporate financial policy, and financial theory. Her academic contributions emphasize practical applications, equipping students with critical skills for navigating financial markets and corporate decision-making. Throughout her career, Dr. Omri has consistently demonstrated her dedication to fostering innovation and interdisciplinary learning, making her an influential educator and mentor in the field of economics.

🏅 Awards and Recognition 

Dr. Henda Omri has received recognition for her scholarly contributions in financial and behavioral economics. She has actively participated in prestigious academic conferences such as the 19th International Conference on Modeling Finance and Development (MOFID) in 2024, where she presented her research on entrepreneurship and governance quality in developing countries. Dr. Omri has also delivered presentations at the Sfax International Forum on Islamic Finance (2022) and the BETA International Conference on Business and Economics Theory and Applications (2024). Her academic excellence is further demonstrated by invitations to international forums and her publications in top-tier journals like Technological Forecasting and Social Change and Research in International Business and Finance. These accolades highlight her commitment to addressing global challenges through innovative research and impactful academic collaborations.

🌍 Research Skills On Economics 

Dr. Henda Omri possesses a broad range of research skills, focusing on financial economics, green finance, and behavioral entrepreneurship. Her expertise includes advanced econometric modeling using tools such as STATA, SPSS, and EVIEWS, enabling her to analyze complex datasets and derive actionable insights. She has published extensively on topics such as corporate governance, renewable energy, and multidimensional well-being, showcasing her ability to link empirical methods with real-world issues. Dr. Omri’s interdisciplinary approach is evident in her exploration of entrepreneurship’s impact on quality of life and sustainable development, often incorporating moderated mediation and ARDL techniques in her studies. Her ability to integrate theoretical frameworks with empirical analysis demonstrates her strong academic acumen and innovative mindset, making her a valuable contributor to the field of economics.

📖 Publication Top Notes

Macro-level determinants of entrepreneurial behavior and motivation
    • Authors: H. Omri, A. Omri, A. Abbassi
    • Citation: International Entrepreneurship and Management Journal, 2024, 20(4), pp. 2629–2667
    • Year: 2024
Environmental degradation and life satisfaction: Do governance and renewable energy matter?
    • Authors: A. Omri, H. Omri, S. Slimani, F. Belaid
    • Citation: Technological Forecasting and Social Change, 2022, 175, 121375
    • Year: 2022

Dr. Zichao Li | Economics | Academic Excellence Award

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Dr. Zichao Li | Economics | Academic Excellence Award

Dr. Zichao Li, University of Waterloo, Canada

Dr. Zichao Li is a leading researcher at the University of Waterloo, with a specialization in machine learning applications in finance. He holds a Ph.D. in Management Sciences from the University of Waterloo, an M.Sc. from Georgia Institute of Technology, and a B.Sc. from the National University of Singapore. With over a decade of industry experience, Dr. Li has made significant strides in advancing trading technologies, particularly in fixed income markets. Currently, he serves as Chief Scientist at Canoakbit Alliance Inc., driving projects on AI-based financial modeling. His recent research has produced 13 influential publications in 2024, showcasing his expertise in areas such as Bayesian models, neural networks, and financial risk assessment. His work offers innovative insights into financial decision-making, making him a valuable contributor to the field of economics and machine learning.

Professional Profile

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google scholar

Suitability Summary for Research for Academic Excellence Award

Dr. Zichao Li is an exceptionally qualified candidate for the Research for Academic Excellence Award. With a robust academic background spanning prominent institutions including the University of Waterloo, Georgia Institute of Technology, and the National University of Singapore, Dr. Li has consistently demonstrated a strong commitment to advancing financial technology through machine learning and operations research. His academic achievements are supported by 13 influential publications in 2024 alone, showcasing his prolific contributions to fields such as machine learning, finance, and risk prediction. His h-index of 14, with 410 citations, reflects his work’s significant impact and recognition in the academic community.

🎓 Education 

Dr. Zichao Li’s academic journey is distinguished by degrees from prominent institutions. He earned his Ph.D. in Management Sciences from the University of Waterloo, where he specialized in machine learning applications within finance. His master’s degree from the Georgia Institute of Technology focused on data analysis and applied operations research, solidifying his analytical skills and technical knowledge. Dr. Li completed his undergraduate studies at the National University of Singapore, majoring in Engineering, which laid the groundwork for his interdisciplinary approach to financial technology. His extensive academic training has equipped him with a deep understanding of AI and machine learning principles, enabling him to tackle complex financial models and design algorithms that optimize trading and risk management in the finance sector. His educational background has been pivotal in his successful career as both a researcher and practitioner.

💼  Professional Experience 

With over a decade of experience in finance and machine learning, Dr. Zichao Li has developed advanced trading and risk assessment technologies. As a researcher at the University of Waterloo, Dr. Li specializes in AI-driven financial modeling, while his role as Chief Scientist at Canoakbit Alliance Inc. focuses on applying machine learning to finance, especially in risk and portfolio management. Previously, he worked with two primary Treasury dealers, where he honed his expertise in fixed income trading and developed software solutions tailored for real-time market environments. This professional background has made him a valuable asset in blending machine learning with economic indicators, offering precise solutions for trading and risk management. His experience spans innovative projects that leverage Bayesian and neural network models, advancing the understanding of predictive analytics in finance.

🏅 Awards and Recognition 

Dr. Zichao Li has been recognized for his contributions to AI and finance, garnering awards and acknowledgments within academia and industry. In 2024, he was commended for his groundbreaking work in Bayesian models for financial applications, leading to several prestigious research awards. His expertise has earned him invitations to serve on committees for high-impact conferences, such as the ACM/IEEE International Conference on Cyber-Physical Systems and the International Conference on Machine Learning and Computing. These honors reflect his leadership and significant impact in machine learning, as well as his commitment to advancing AI methodologies in finance. Additionally, his appointment as Chief Scientist at Canoakbit Alliance Inc. demonstrates the trust placed in him to pioneer innovative solutions for the financial sector. His research has not only advanced academic knowledge but also provided practical tools to address complex financial challenges.

🌍 Research Skills 

Dr. Zichao Li’s research skills are concentrated on machine learning applications for finance, including Bayesian methods, neural networks, and contrastive deep learning. His expertise spans predictive analytics, risk assessment, and financial modeling, where he employs AI to optimize investment strategies and assess market risks. Dr. Li has developed skills in integrating economic indicators and sentiment analysis into financial models, enabling more accurate predictions and adaptive responses to market changes. His work with graph neural networks for recommendation systems and sentiment detection through integrated learning algorithms highlights his ability to tackle complex data-driven challenges. Proficient in Python, R, and MATLAB, Dr. Li leverages these tools to implement sophisticated models that address contemporary challenges in financial technology, including cryptocurrency portfolio management and Treasury bond yield prediction. His skill set is a blend of theoretical knowledge and practical experience, making him a sought-after expert in finance-oriented AI research.

📖 Publication Top Notes

  • Graph neural network recommendation system for football formation
    Cited by: 88
  • Optimal shipment decisions for an airfreight forwarder: Formulation and solution methods
    Cited by: 70
  • Text Sentiment Detection and Classification Based on Integrated Learning Algorithm
    Cited by: 44
  • The air-cargo consolidation problem with pivot weight: Models and solution methods
    Cited by: 22
  • Neural radiance fields convert 2d to 3d texture
    Cited by: 21