Doctoral research contributions advancing the frontiers of artificial intelligence and systems engineering.
F.A.Q
Frequently Asked Questions
The Artificial Intelligence and Systems Engineering (AISE) Lab is a research and educational laboratory within the Department of Electrical and Computer Engineering (ECE) at HMU. It focuses on meeting the research and educational needs of the department across all academic levels. The lab also participates in providing lifelong education and training services.
The AISE Lab aims to promote scientific knowledge in Artificial Intelligence and Systems Engineering. It emphasizes applied technological research and development in cutting-edge technologies, especially in software development. The lab also aims to develop open-source software, research standards, models, systems and tools. Another goal is to provide specialized training for students and employees, and offer consulting services.
The AISE Lab’s research activities cover the entire software life cycle, from requirement analysis to design, implementation, verification, and maintenance. The research focuses on applied technological research and development in software development, from the perspective of AI and Systems Engineering. Specific areas of focus include Artificial Intelligence, Embedded Systems, Educational Technology, Serious Games, Medical Informatics, and Web Technology.
The lab conducts research and development activities in the following thematic areas: Artificial Intelligence, Embedded Systems, Educational Technology, Serious Games, Medical Informatics, and Web Technology. These areas have significant technological impact and the potential to sustain international collaboration.
Yes, the AISE Lab collaborates with Research Centers, Institutes, and Universities both in Greece and abroad, as well as with public and private organizations. These collaborations aim to solve real-world problems.
The AISE Lab develops and implements research and development activities through funded national and European projects. Some of these projects include the application of the Environmental Decision Support System in the Ecosystem of Streams of Crete (Expert System-Crete (ES-Cr)) and Artificial Intelligence Applications in Software Engineering and in Medicine.
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