Department of Electrical Engineering, Computer Engineering and Informatics

108587_eecei1.png picture
Organization name
Department of Electrical Engineering, Computer Engineering and Informatics
Description
Τhe Department of Electrical Engineering, Computer Engineering and Informatics (EECEI) combines the fields of Electrical Engineering, of Computer Engineering and of Computer Science under a unified multi-disciplinary department. The department offers two distinct program of studies (curricula), one for students who wish to study Electrical Engineering and one for those who wish to study Computer Engineering and Informatics is distinct. The program of Computer Engineering and Informatics combines engineering and computer science courses. There is however, a substantial overlap of mandatory and elective courses between the two programs. The department's faculty and research associates conduct world class Electrical Engineering and Computer Science research as evidenced by its prominent publication record and its ability to attract substantial external research funding. The goals of EECEI’s programs of studies include the elevation of the technical capacity and professional development in Cyprus and across the globe. Taking into consideration the globalization of markets and Cyprus’ position as a member of the European Union, we realize the need to train our students at a level that renders them competitive and skillful. Our programs aim at equipping our students with the abilities needed to face with confidence the challenges of the domestic and foreign professional sector or of post-graduate academic programs at home or abroad. Our graduates acquire the professional skills that a rapidly shifting technological environment demands, including complex reasoning, critical thinking, and problem solving. They are able to assume leading roles in the industry. In addition, our graduates are in position to succeed in the private industrial sector, in the government sector, as well as in the academic and research environment. Our graduates obtain excellent communication skills, which enable them to effectively solve engineering problems both when working alone and in teams. Furthermore, our programs place great emphasis on instilling high moral and professional standards in their graduates.

OrgUnit's Researchers publications
(Dept/Workgroup Publication)



Refined By:
Type:  PhD Thesis
Date Issued:  [2020 TO 2024]

Results 1-18 of 18 (Search time: 0.035 seconds).

Issue DateTitleAuthor(s)
1Apr-2021Characterizing Abhorrent, Misinformative, and Mistargeted Content on YouTubePapadamou, Kostantinos 
2Oct-2022Computational intelligence approaches for optimizing operations in smart portsAslam, Sheraz 
3May-2020Enabling workload scalability, strong consistency and elasticity with transactional database replicationGeorgiou, Michael A. 
4May-2023Evaluation of a flat, rectangular MR compatible ultrasonic transducer for cardiac applicationsSotiriou, Michalis 
5Sep-2021Evaluation of a Magnetic Resonance Imaging guided focused ultrasound system for prostate ablationDrakos, Theocharis 
610-May-2021Femtosecond laser inscribed all-in-fiber components for sensing applicationsIoannou, Andreas 
7Jun-2021Grid-connected photovoltaic system in buildings with hybrid energy storageArgyrou, Maria C. 
8Mar-2022Information-Theoretic Local Competition and Stochasticity for Deep LearningAntoniadis, Anastasios 
9Jun-2020Latent Geometry of Human Proximity NetworksFlores, Marco Antonio Rodríguez 
10Sep-2023Magnetic resonance imaging guided focused ultrasound in thw treatment of neurological disordersAntoniou, Anastasia 
11Dec-2020Natural Language Processing with Deep Neural NetworksTolias, Kyriakos 
12Dec-2020A passivity based, system reference frame approach for decentralized stability analysis and control design in future power gridsSpanias, Chrysovalantis 
13Jul-2021Phantom for blood brain barrier opening using focused ultrasound and application in alzheimer's diseaseAlekou, Tereza 
142022A probability control and statistical modeling study for the feasibility of large-scale implementation of Seebeck-Peltier modules in ship claddingArmenakis, Yiannis 
15Feb-2021Robust Financial Crime Detection in Big Data via Uncertainty-Aware Deep Learning TechniquesKleanthous, Christos 
16Jan-2024Stochastic Deep Networks with Linear Competing Units for Transfer LearningKalais, Konstantinos 
1715-Dec-2020Toward nearly Zero Energy Buildings through Electrical Storage and Mathematical OptimizationGeorgiou, George 
18Apr-2020Utilizing Computational Intelligence to Support Decision-making in Distributed Software Systems and Cloud-based EnvironmentsChristoforou, Andreas