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Ahmed S Nagy
The Belgian Nuclear Research Center- SCKCEN
Mol, Belgium

Ahmed Nagy holds a PhD in computer engineering from the IMT School for Advanced Studies in Lucca, Italy, with a specialization in crisis management and emergency planning. He has worked as a research engineer for several research institutes and international companies, including Carnegie Mellon University’s disaster management initiative based at NASA’s Silicon Valley research center and Google. He earned his master’s degree from American University in Cairo in the field of telecommunications and artificial intelligence (AI). He also has a dual degree in computer engineering and electronics engineering, with a minor in mathematics, from the same university.

Ahmed works as a principal investigator (PI) and senior research engineer in the Belgian Nuclear Research Centre’s Crisis Management and Decision Support (CMD) unit. His work focuses on applying robust, sustainable technological solutions to the challenges of emergencies, and knowledge modeling for decision support. He applies a wide range of AI and visualization techniques in order to study the cognitive needs required for the optimal use of decision support systems in emergency scenarios. He is a seasoned trainer for emergency responders and policymakers, and leads digitalization efforts that apply a holistic, ethical, and stakeholder-centric approach.

Ahmed is an active member and official reviewer for several entities and organizations, and he has been a reviewer for Computing Reviews since 2014. He is currently an adjunct professor in the AI graduate program at the Information Technology Institute (ITI)-EPITA School of Engineering and Computer Science. His research interests include the development of generative adversarial networks (GANs), large language models (LLMs), and augmented reality (AR) for applications in nuclear security and integrated security models.

Ahmed spends his free time teaching kids about technology through gaming and robotics. As a Red Cross volunteer, he works with immigrant children as they integrate into their new communities.


Concept invention: foundations, implementation, social aspects and applications
Confalonieri R., Pease A., Schorlemmer M., Besold T., Kutz O., Maclean E., Kaliakatsos-Papakostas M., Springer International Publishing, New York, NY, 2018. 294 pp.  Type: Book (978-3-319656-01-4)

The book introduces concept invention and foundations. This includes the idea of concept blending, defined as the mechanism where two concepts or more are combined into a blended concept. The book also brings together the topics of con...


Improving software management: the industry model, the knowledge model, the network model
Rose J. Innovations in Systems and Software Engineering 11(1): 9-23, 2015.  Type: Article

Software management is at the core of any software development task. Rose presents three dominant models in software management focusing on the most popular, devised and administered at Carnegie Mellon University: the capability maturi...


Personalized recommendations of locally interesting venues to tourists via cross-region community matching
Zhao Y., Nie L., Wang X., Chua T. ACM Transactions on Intelligent Systems and Technology 5(3): 1-26, 2014.  Type: Article

A challenging problem is presented in this paper: recommending interesting places to tourists. The authors address the different challenges to provide recommendations that can be characterized by novelty and high relevance. To achieve ...


Data science and prediction
Dhar V. Communications of the ACM 56(12): 64-73, 2013.  Type: Article, Reviews: (2 of 2)

Dhar presents a theory of data science that addresses challenges and caveats for dealing with big data. The study is well documented and easy to read for a wide audience. It is a useful guide to understand timely challenges in the area...

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