Sonia Abdennadher | Emerging Technologies | Research Excellence Award

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Dr. Sonia Abdennadher | Emerging Technologies | Research Excellence Award

The Higher Colleges of Technology | United Arab Emirates

Dr. Sonia Abdennadher, PhD, CMA, is an accomplished Associate Professor of Finance and Accounting at the Higher Colleges of Technology (HCT), Al Ain, United Arab Emirates, and a tenured Associate Professor at the University of Rouen, France. With over two decades of academic and professional experience across Europe and the Middle East, she has established a strong international reputation in corporate governance, auditing, financial reporting, fintech adoption, and ESG practices. Dr. Abdennadher earned her PhD in Business Administration from Paris-Saclay University, where her doctoral research pioneered the study of technology intermediation in corporate governance, with a particular focus on Internet voting in shareholders’ general meetings. Her academic background is further strengthened by dual master’s degrees in Networks Management and Economics and International Finance, Trading, and Capital Markets, complemented by a solid undergraduate foundation in finance. At HCT, Dr. Abdennadher plays a key leadership role, serving as Chair of Promotion Committees, member of the Higher Faculty Promotion Committee, Applied Research Coordinator, and System Course Team Leader in Sustainable Finance. She has taught a wide range of undergraduate and postgraduate courses in finance, accounting, auditing, corporate governance, sustainable finance, and investment analysis, and has extensive experience in executive education and capstone research supervision. Her research portfolio includes numerous high-impact publications in leading Q1 journals such as Journal of Business Ethics, Finance Research Letters, Corporate Governance, Corporate Social Responsibility and Environmental Management, and International Journal of Finance & Economics. Her work bridges theory and practice by examining blockchain, artificial intelligence, fintech, and ESG measurement within financial markets and governance systems, particularly in the UAE and MENA region. Dr. Abdennadher has successfully led and co-led multiple competitive research grants exceeding AED 600,000, and actively collaborates with regulators, stock exchanges, and Big Four audit firms. Through her scholarship, leadership, and policy-relevant research, she continues to contribute significantly to the modernization of corporate governance and sustainable finance globally.

 

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Featured Publications


The Effects of Blockchain Technology on the Accounting and Assurance Profession in the UAE: An Exploratory Study


– Journal of Financial Reporting and Accounting, Vol. 20(1), pp. 53–71, 2022

Corporate Social Responsibility Antecedents and Practices as a Path to Enhance Organizational Performance: Evidence from SMEs


– Corporate Social Responsibility and Environmental Management, Vol. 28(6), pp. 1647–1663, 2021

The Effectiveness of E-Corporate Governance: An Exploratory Study of Internet Voting at Shareholders’ Annual Meetings in France


– Corporate Governance: The International Journal of Business in Society, Vol. 20(4), 2020

Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

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Dr. Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Dr. Sayed Abdul Majid Gilani | Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is an accomplished researcher in electrical and electronic engineering, specializing in embedded systems, automation, and control engineering. His multidisciplinary research integrates hardware design, sensor networks, and artificial intelligence to develop innovative and energy-efficient solutions for real-world challenges. With over a decade of experience in academia and applied research, Dr. Gilani has contributed significantly to the advancement of embedded control technologies, renewable energy optimization, and industrial automation systems. His work emphasizes intelligent system design, IoT-based automation, and the integration of machine learning algorithms for enhanced performance and sustainability. Dr. Gilani has published extensively in high-impact journals and presented at leading international conferences, reflecting his global engagement and scientific rigor. He has also supervised numerous research projects and guided students in developing practical applications of emerging technologies. His research outputs demonstrate a strong commitment to technological innovation that bridges the gap between theory and application. Recognized for his academic excellence and collaborative research initiatives, Dr. Gilani continues to advance cutting-edge developments that contribute to the evolution of smart, adaptive, and efficient engineering systems—making him a deserving candidate for the Best Researcher Award.

Profiles: Google Scholar | Scopus | LinkedIn | Research Gate

Featured Publications 

Gilani, S. A. M., & Faccia, A. (2021). Broadband connectivity, government policies, and open innovation: The crucial IT infrastructure contribution in Scotland. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 1. https://doi.org/10.3390/joitmc8010001

Gilani, S. A. M., Copiaco, A., Gernal, L., Yasin, N., Nair, G., & Anwar, I. (2023). Savior or distraction for survival: Examining the applicability of machine learning for rural family farms in the United Arab Emirates. Sustainability, 15(4), 3720. https://doi.org/10.3390/su15043720

Gilani, S., Gernal, L., Tantry, A., Yasin, N., & Sergio, R. (2022). Leadership styles adopted by Scottish micro-businesses during the COVID-19 pandemic. In Proceedings of the International Conference on Business and Technology (pp. 144–156). Springer.

Al Jaghoub, J., Suleiman, A., Takshe, A. A., Moussa, S., Gilani, S. A. M., Sheikh, S., & others. (2024). The role of innovation in waste management for enterprises: A critical review of the worldwide literature. In Technology-Driven Business Innovation (pp. 453–464). Springer.

Gernal, L., Tantry, A., Gilani, S. A. M., & Peel, R. (2024). The impact of online learning and soft skills on college student satisfaction and course feedback. In Technology-Driven Business Innovation: Unleashing the Digital Advantage (pp. 42–54). Springer.

Gilani, S. A. M., Tantry, A., Askri, S., Gernal, L., & Sergio, R. (2023). Adoption of machine learning by rural farms: A systematic review. In Proceedings of the International Conference on Computing and Informatics (pp. 324–335). Springer.

Yunsong Mu | Emerging Technologies | Best Researcher Award

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Prof. Yunsong Mu | Emerging Technologies | Best Researcher Award

Prof. Yunsong Mu | Renmin University | China

Professor Yunsong Mu is an accomplished environmental toxicologist and academic leader serving as Vice Dean at the School of Chemistry and Life Resources, Renmin University of China. His pioneering research integrates computational toxicology and risk assessment to address the health impacts of emerging environmental pollutants. With over 50 Scopus-indexed publications, two authored books, and 20 patents, he has made significant contributions to environmental science innovation and policy. His groundbreaking GNN-based immunotoxicity prediction framework offers transformative tools for pollutant risk evaluation. Recognized by national and international bodies, Professor Mu exemplifies excellence in environmental research and scientific leadership.

Profile: Scopus

Featured Publications

Mu, Y., et al. (2025). Machine learning-driven 3D-QSAR models facilitated rapid on-site broad-spectrum immunoassay of (fluoro)quinolones using evanescent wave fiber-embedded optofluidic biochip. Biosensors and Bioelectronics.

Mu, Y., et al. (2025). Advances and perspectives on the life-cycle impact assessment of personal protective equipment in the post-COVID-19 pandemic.

Mu, Y., et al. (2025). Application of machine learning in nanotoxicology: A critical review and perspective.

Mu, Y., et al. (2024). Predicting the water ecological criteria of copper using machine learning and multiple linear regression approaches. Zhongguo Huanjing Kexue (China Environmental Science).