The Laboratory of Knowledge & Intelligent Computing covers the educational, teaching and research needs of the Department of Informatics and Telecommunications
The Research Activities of the Laboratory of Knowledge and Intelligent Computing
Modelling complex Systems, Medical Decision Support Systems using Fuzzy Cognitive Maps, Modelling & Simulation in fields such as industry, business, medicine, agriculture, and environment.
Algorithms, Deep Learning, Neural Networks, Support Vector Machine, Evolutionary Computation, Metaheuristics, Probabilistic Reasoning, Combinatorial Optimization, Timetabling, Scheduling
Polysomnographic (PSG) data, Sleep Staging, Obstructive Sleep Apnea (OSA), Electroencephalogram (EEG), Heart Rate Variability (HRV), Fetal Heart Rate (FHR), Electromyographic (EMG).
Ιmage/Signal Processing, Thermographic image processing, Design of noninvasive methods for fault detection.
Cryptographic Algorithms, Design secure and Trustworthy systems, Cryptographic techniques for wireless sensor networks, Design and Implementation cryptographic protocols for IoT devices, Privacy-preserving techniques, Design and Implementation of Attribute-Based credentials, Design and Implementation of cryptographic tools for developing secure and trustworthy mechanisms in e-learning applications
Satellite Remote Sensing, Meteorology – Climatology, Environmental Risk Assessment & Decision – Making, Environmental Communication, Climate Change, Waste Management, Forest and Protected Areas, Sustainable Development, Coastal Management.
Prof. Chrysostomos Stylios recognized among the top 100 computer scientists in Greece Prof. Chrysostomos Stylios, Director of the Institute of Industrial Systems, has been named among the top 100 Computer
ERCIM "Alain Bensoussan" Fellowship Programme ERCIM (www.ercim.eu) offers fellowships for PhD holders from all over the world. The next round is open!Deadline for applications: 30 April 2024.Detailed description of the
eMEDIATOR: M6 Project Meeting and Training Event in Aalen (Germany)
Planet 4 – 5th Newsletter Welcome to the 5th edition of our newsletter series, where we provide you with the latest updates and highlights from our project. Over the past
Use RBF as a Sampling Method in Multistart Global Optimization Method In this paper, a new sampling technique is proposed that can be used in the Multistart global optimization technique