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Brief Introduction： Professor Faridoon Shabani is an accomplished electrical engineer, educator, and researcher with B.Sc., M.Sc., and Ph.D. degrees in electrical engineering. He has authored over 200 journal and conference papers, along with eight books. His research and professional interests span control systems, state estimation, intelligent systems, and e-learning.

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Brief Introduction： I am a dedicated educator and researcher with a Master's degree in Energy and Power Engineering from Huazhong University of Science and Technology (HUST) and a Bachelor's degree in Aerospace and Aeronautics from Cairo University. With over six years of university-level teaching experience across multiple institutions—including ShangLuo University, Zhejiang University, and 6 October University—I have developed a strong foundation in delivering engaging lectures in Physics, Aerodynamics, Thermodynamics, Linear Algebra, and CFD to both undergraduate and graduate students. My teaching philosophy centers on making complex engineering concepts accessible and fostering a supportive learning environment. I have experience designing course materials, leading laboratory sessions, mentoring students, and integrating digital tools to enhance learning outcomes. In addition to teaching, I have actively contributed to research in fluid mechanics and wind turbine aerodynamics, with several publications in peer-reviewed jour

Brief Introduction： Senior Lecturer at Stockholm Business School, Stockholm University, a leading European research university. I teach finance and accounting courses in English and contribute to research-led teaching. I hold a PhD in Financial Management and am a Certified Public Accountant (CPA), with strong expertise in finance and accounting. My research focuses on corporate finance, governance, sustainability, and data-driven analysis. I bring international academic experience across Europe and Asia.

Brief Introduction： An assistant professor in Computing Science at the University of Aberdeen (since Aug 2023), with a DPhil in Engineering Science from the University of Oxford (2017). Research specialises in probabilistic machine learning, Bayesian methods, and applications in smart buildings and climate change. Previously senior research associate at University of Cambridge (2022–2024) and postdoctoral researcher at Oxford (2019–2022). Industry experience as senior data scientist at Ageas Group (2017–2019), responsible for UK-wide pricing structure and ML training delivery. Lecturer at University of Westminster (2022–present). Teaches software engineering, computational intelligence, and ML courses.