Embedded systems architecture
and electronic design automation

Embedded systems architecture research focuses on models and tools for multicore SoC design, including FPGA prototyping and testing, optimization and testing of memory hierarchies in embedded systems, on-chip buses and point-to-pont NoCs with monitoring services, and application-specific SoCs, e.g. ASIPs, hardware accelerators.
In addition, electronic design automation activities focus on RTL and system-level (SystemC-based) design methodologies, models and tools for system-on-chip and network-on-chip design. These tools support many innovative ideas, such as power-awareness, reliability, discrete-event co-simulation, instrumentation and advanced monitoring.

Extensive prior expertise has been obtained through in-depth involvement in numerous Greek government research programmes (GSRT, Ministry of Education), European R&D projects (Esprit, TEN Telecom, Eurescom, Medea+, IST, Artemis, ENIAC) and cutting-edge industrial technological development projects with international industry, such as STMicroelectronics, Thales and ESA, strong partnership with prestigious Universities and prominent Greek and international industry for expanding knowledge and pursuing applied technological innovations leading to contribution to standardization activities (e.g. HLM, SystemC) and real commercial products (e.g. Synopsys Cocentric Studio and Spidergon STNoC), and active involvement in open source software (http://occn.sourceforge.net). More than 250 organizations worldwide, including prestigious schools, research institutions and semiconductor, electronics and EDA industry, have already used the heavily cited on-chip communication network (OCCN) software library and design methodology.

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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