Jyh-Haw Tang | Computational Mathematics | Numerical Analysis Research Award

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Prof. Jyh-Haw Tang | Computational Mathematics | Numerical Analysis Research Award

Professor | Chung Yuan Christian University | Taiwan

Prof. Jyh-Haw Tang is a Professor of Civil Engineering at Chung Yuan Christian University, Taiwan, specializing in computational fluid dynamics (CFD), hydraulics, and thermal and mass transfer. His research focuses on numerical simulation of fluid flows, surface irrigation systems, scour and sediment transport, and fluid–structure interactions, with applications in water resources engineering, environmental systems, and smart infrastructure.

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Isabelle Chalendar | Operator theory | Research Excellence Award

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Prof. Isabelle Chalendar | Operator theory | Research Excellence Award

Full Professor | University Gustave Eiffel | France

Prof. Isabelle Chalendar is a mathematician at Université Gustave Eiffel, France, whose research focuses on functional analysis and operator theory. Her work explores linear and nonlinear operators, isometries, semigroups, and parabolic partial differential equations, with particular emphasis on Banach and Fréchet spaces. Through rigorous theoretical analysis, she contributes to a deeper understanding of operator structures and their applications in modern mathematical analysis.

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Alain Sarkissian | Numerical Analysis | Research Excellence Award

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Prof. Alain Sarkissian | Numerical Analysis | Research Excellence Award

Research Fellow | LATMOS / UVSQ / CNRS | France

Prof. Alain Sarkissian is a distinguished researcher in atmospheric physics, space science, and remote sensing. His work focuses on satellite-based and ground-based observations of Earth’s radiation budget, atmospheric composition, and cloud and water vapor characterization. He has made significant contributions to the calibration and validation of space instruments, particularly through CubeSat missions, lidar measurements, and climate data analysis, supporting accurate monitoring of climate variability and long-term environmental change.

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999

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Lotfi Saidi | Optimization | Artificial Intelligence in Mathematics Award

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Prof. Lotfi Saidi | Optimization | Artificial Intelligence in Mathematics Award

Lotfi Saidi at University of Sousse | Tunisia

Prof. Lotfi Saidi is a leading researcher in signal processing, intelligent fault diagnosis, and prognostics of rotating machinery. His work focuses on applying advanced vibration analysis, empirical mode decomposition, spectral analysis, and machine learning techniques (such as neural networks and support vector machines) to bearing fault detection and remaining useful life prediction. He has made significant contributions to condition monitoring of industrial systems, particularly in wind turbines and high-speed rotating equipment, helping improve reliability, safety, and predictive maintenance in engineering applications.

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Rajni Mala | Accounting | Research Excellence Award

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Dr. Rajni Mala | Accounting | Research Excellence Award

Senior Lecturer | Macquarie University | Australia

Dr. Rajni Mala is a distinguished academic at Macquarie University, Australia, whose research focuses on accounting judgment and decision-making, financial reporting, and International Financial Reporting Standards (IFRS). Her work examines how individual, task, and environmental factors influence professional judgment in auditing and accounting contexts. She has made significant contributions to understanding confirmation bias, regulatory processes, market volatility, and the adoption of IFRS, with research published in leading international journals. Dr. Mala’s scholarship bridges theory and practice, offering valuable insights for regulators, practitioners, and policymakers.

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Measuring Stock Market Volatility in an Emerging Economy

– International Research Journal of Finance and Economics, 2007 (142 citations)


Users’ Perspective on the Usefulness of IFRS for SMEs-Based Financial Reports

– Meditari Accountancy Research, 2023 (22 citations)