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Innovation and Discovery


 Artificial Intelligence in Engineering:


 Advancing Computational Fluid Dynamics Research







 The Research Institute for Sustainable Futures (RISF) at Abu Dhabi University continues to advance
 engineering  research  through  the  integration  of  artificial  intelligence  and  computational modeling.  A   Innovation and Discovery
 recent contribution led by Dr. Sharul Sham Dol,
 Director of RISF and Professor of Mechanical   Future of Sustainable and
 Engineering, examines how artificial intelligence
 and machine learning are transforming the field of
 computational fluid dynamics (CFD).          Intelligent Air Mobility:

 The  work  explores  how  modern AI  techniques—  Abu Dhabi University Hosts
 including machine learning and neural networks—
 can enhance the modeling, prediction, and solution   Industry Dialogue
 of complex fluid flow problems. These approaches
 are helping to improve simulation efficiency, increase
 predictive accuracy, and expand the capabilities   The College of Engineering at Abu Dhabi University, in collaboration with the Research Institute for
 of  computational  tools  used  in  engineering  and   Sustainable Futures (RISF) and the Research Institute for AI and Emerging Technology (RIAET), hosted
 scientific research.
        an educational session titled “Future of the UAE’s Sustainable and Intelligent Air Mobility.” The event
        brought together industry representatives, researchers, academics, and students to explore emerging
 This  research  milestone  reflects  ongoing  developments shaping the future of urban air transportation.
 collaboration between the College of Engineering
 at Abu Dhabi University and the Department   A key highlight of the session was the participation of Archer, a developer of electric vertical takeoff
 of Aerospace Engineering at Universiti Putra   and landing (eVTOL) aircraft designed for urban air mobility networks. The discussion provided valuable
 Malaysia, highlighting the value of international   insights into how next-generation aviation technologies can transform transportation systems while
 academic partnerships in advancing high-impact   supporting sustainability and efficiency in rapidly growing urban environments.
 research  and  innovation.
        The  seminar  served  as  a  platform  for  dialogue  on  several  important  themes,  including  green  and
 The  outcomes  of  this  collaboration  are  presented   intelligent air mobility, smart operational systems, safety considerations, and talent development
 in the recently published book, Artificial Intelligence   for future aviation industries. Participants exchanged perspectives on how academia and industry can
 for  Computational  Fluid  Dynamics,  published   work together to advance sustainable aviation technologies and prepare the next generation of engineers
 by  Elsevier. The publication brings together   and innovators.
 contemporary research, practical applications,
 and emerging developments at the intersection of   The initiative reflects Abu Dhabi University’s commitment to  advancing research, education, and
 artificial intelligence and fluid dynamics, offering   collaboration in areas that support sustainability, emerging technologies, and national development
 valuable insights for researchers, engineers, and   priorities. The event was made possible through the continued support of university leadership, including
 students working in the field.
        Professor Ghassan Aouad, Prof. Montasir Qasymeh, Dr. Hamdi Mustafa Sheibani, and Prof. Mohammed
        Ghazal, alongside the participation of Archer Airlines COO Brig. Pil. (R.) Cristiano Tartaglione.
 The book further explores the integration of machine learning, deep learning, and neural networks with
 high-performance computing to address complex fluid dynamics problems. It also discusses future   Through initiatives such as this, Abu Dhabi University continues to foster meaningful dialogue between
 research directions, including developments related to quantum computing and its potential role in next-  academia  and  industry  while  contributing  to  the  development  of  sustainable  and  intelligent  mobility
 generation scientific simulations.
        solutions.

 This contribution highlights the growing role of AI-enabled engineering research in addressing complex
 scientific challenges while strengthening international knowledge exchange.







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