Laboratory of Applied and Computational Electromagnetics
The goal of the Laboratory of Applied and Computational Electromagnetics (LACEL) is to conduct high-quality research and educational activities, related to multiple aspects of electromagnetic fields. In particular, the research orientation of LACEL gives emphasis to the development of novel and efficient computational models, the investigation of realistic and demanding electromagnetic problems, and the design of optimized devices with advanced features. Both deterministic and stochastic problems are explored in a broad range of individual disciplines at the heart of modern technological advances, including wireless and optical communications, electromagnetic compatibility, metamaterial and graphene configurations, bioelectromagnetics, etc. Apart from the necessary computer equipment for performing simulations, LACEL has also acquired instruments that allow performing specific measurements of electromagnetic quantities at telecommunication frequencies.
Biomedical Engineering and Electronic Health Lab
The Laboratory of Electronic Health and Biomedical Technology comprises an interdisciplinary group active on research and innovation for the accumulation, processing, transmission and representation of quality of life related information. It fosters the use of data analysis in order to promote personalised health and healthy living. It also provides hands-on education on methods and signal processing techniques, Medical Imaging Systems and reconstruction algorithms, Online health care and Telemedicine. The laboratory has developed collaborations with various departments and research organizations within Greece (e.g. AUTH Medical School, NTUA Biomedical Engineering Lab) and international Universities and Institutions (e.g. MIT Media Lab, UC Medical School), as well as the Industry. The laboratory has experience in international collaborations in the framework of European projects. The Laboratory is also contributing to the development of the regional strategic plans, serving as technical advisor of the Region of West Macedonia and plays a vital role in the promotion of digital health services in the local communities.
- The Lab is active in the following areas:
- Mobile and Wireless Communications in Health Care
- Biomedical Signal and Image Processing
- IoT Health Platform - Remote Monitoring
- High Performance Computing
- Cloud Computing services
- Virtual Machines
- AR/VR facilities
- The Lab supports teaching of the following courses:
- eHealth:Introduction to e-Health. Definition & importance of e-Health. Main research and policy issues to the application of informatics in medical care. Overview of basic specialized tools, like electronic patient systems and decision support systems.. Management of medical data. Statistical informatics. Introduction to clinical quality development as a part of clinical system informatics. Web-based medical care. Online supply and demand of medical information, Medical consultation through internet (like e-therapy) and p2p virtual medical societies. The usage of search engines and internet in clinical trials. Health Portals. eHealth services and applications. Mobile and wireless communication in medical care. Introduction to medical Vocational Education and Training through internet. Safety in eHealth. Privacy and confidentiality in medical care. Ethical principals.
- Biomedical Technology:Biomedical Engineering present and future. The cell, biomolecules, membranes, electrical potentials, Nerts – Plank equations, neurons, resting and action potentials. Βiological signal processing. Heart physiology and Electrocardiography. Blood pressure. Brain Physiology and Electroencephalography. Electromyography. Introduction to Medical Imaging: Instrumentation and Measurements, X-Ray Computed Tomography (CT), Nuclear Medicine and tomography SPECT: Nuclear Magnetic Resonance, Ultrasonic Imaging.
- Bioinformatics:Introduction to basic biological terms, nucleotides, DNA and RNA, amino acids and proteins. Biological data bases. Sequence alignment per base pair. Analysis of sequence similarity. Biological macromolecule domain and motif analysis. Phylogenetic analysis. Introduction to evolutionary biology. Proteomics. Protein analysis. Microarray analysis. Medical Informatics and Bioinformatics.
Telecommunication Networks and Advanced Services (TELNAS) Laboratory
The Telecommunication Networks and Advanced Services (TELNAS) Laboratory focuses on the development of algorithms, methods, systems and applications for bringing intelligence, adaptation, personalization and cognition in networks and services. Multi-criteria / multi-objective optimization and advanced decision support systems, machine learning techniques, predictive analytics and diagnosis mechanisms are exploited to enable accurate knowledge extraction and personalized information provisioning, supporting informed decision making and offering promising solutions to problems from various domains (e.g., smart cities, energy, water, agriculture, livestock, environment, health). Specifically, the laboratory emphasizes on the design, optimization and performance evaluation of telecommunication networks, next generation networks and services, context-aware/ social-aware/semantic-aware networks and services, 5G/B5G/6G systems, IoT technologies and applications, mobile crowd sensing systems, trust management and cooperation enforcement mechanisms, big data analytics, machine learning and predictive analytics, multi-criteria optimization, decision support, cloud, fog, edge computing.
TELNAS Laboratory is equipped with state-of-the-art smart sensor systems, UAVs and networking hardware and software, such as LoRaWAN indoor and outdoor gateways, Smart Water System, Smart Water ion system, Smart Environment System, Smart Agriculture System, IoT application development kits, USRP Software Defined Radio (SDR) node, fiber optics equipment and Cisco and MikroTik networking equipment. Additionally, there is a complete cloud computing infrastructure that allows application development and server on a private cloud, integration of programs and databases and big data processing in almost real-time. The infrastructure of the lab is constantly updated and renewed.
Lab members participate and coordinate a number of national and international, research and development projects with total budget over 1.5M€.
Head of the TELNAS Laboratory: Associate Prof. Malamati Louta
Robotics, Embedded and Integrated Systems Laboratory
The Robotics, Embedded and Integrated Systems Laboratory of the Department of Electrical and Computer Engineering of the Polytechnic School of Kozani, of the University of Western Macedonia Greece, was established in 2020. The current director is Dr. Minas Dasygenis. The laboratory satisfies the research and educational needs in both core courses and specialization courses of the Department and implements various research projects. It is located in the building K7 of the UOWM, at two adjacent work areas, where teaching and research are performed continuously. Its highly specialized members, four faculty members (Fragulis G, Dasygenis M, Mpratitsis T., Dossis M.) and their numerous Ph.D. candidates, perform active research in the areas of hardware and software codesign, robotics, accelerators, heterogeneous architectures, system-on-a-chip, high level or low-level synthesis, register-transfer-level (RTL), computer vision, machine learning, VLSI and integrated systems, hardware security, Internet-of-Things, and system design. The Laboratory fulfills the need of the Department for the teaching of Operating Systems, Parallel, and Distributed Systems, Embedded Systems, Computer Architecture, Microprocessors, and Robotics. Also, every year several students work on research projects as part of their thesis. The members of the Laboratory have actively funded research projects with institutions and companies, leading to remarkable scientific or influential publications. The Laboratory is equipped with state of the art high FPS robotic cameras, stereoscopic cameras, 3d printer, HPC cluster, Lidars beagleboard, arduino, and raspberry sets, sensors, actuators, heterogeneous architectures, various power sources, 30 workstations, FPGA cards of Altera, Xilinx, and Intel, PCI express accelerators and robotic arms. Finally, two student teams (Hyperion Robotics Team and SPINNING TOP STUDIOS) utilize the equipment.