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Centre for Artificial Intelligence and Cybersecurity – AIRI

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Scientific Projects

People in Motion: Entangled Histories of Displacement across the Mediterranean (1492-1923)

03.05.2019

People in Motion: Entangled Histories of Displacement across the Mediterranean, or PIMo, explores common forms of displacement and dispossession across the Mediterranean from the fifteenth century to the present. With a focus on people – and the ideas, objects, and writing that accompanied them – our goals include evaluating the ways and degree to which these […]

Embedded systems for 3D perception

05.04.2019

The main objective of this project is the scientific and practical analysis of a distributed embedded system for 3D perception targeted for people and object tracking through the efficient implementation of new algorithms optimized for execution on embedded systems. The project will enable the mobility of the researchers, ensure continuous research, foster the dissemination of […]

Distant Reading for European Literary History

03.04.2019

Grounded in the Distant Reading paradigm (i.e. using computational methods of analysis for large collections of literary texts), the project creates a shared theoretical and practical framework to enable innovative, sophisticated, data-driven, computational methods of literary text analysis across at least 10 European languages. Fostering insight into cross-national, large-scale patterns and evolutions across European literary […]

Digital transformation of society: Legal aspects

07.03.2019

Digitalisation transforms and accelerates not only the ways of doing business, but also the ways of thinking. Unprecedented interconnectedness and access in the cyberspace, where everything is available at the touch of a finger, give rise to many issues concerning the transfer and impact of new technologies from the digital world on social relations in […]

Development of machine-learning-based techniques for illness and injury detection in medical images

01.03.2019

Clinical decision-support systems are often built by manually gathering, formalising and implementing specialist knowledge. Therefore, they are limited by existing human knowledge concerning modelling clinical conditions, diagnosis and therapy, and can be inaccurate because of variations and complexity inherent to medical data. In order to circumvent these limitations, following an obvious growth of publicly available […]

Data Stream Mining for Smart Cold Chain Management (SmaCC)

03.01.2019

As a result of declining natural resources and growing populations, perishable food chains face the challenge of increasing food handling efficiency and minimizing post-harvest damage. The project proposes an SmaCC system based on the application of in-depth data flow analysis procedures for the analysis of sensory stream data. The data is generated by the latest […]

Computer-Aided Digital Analysis And Classification of Signals

01.01.2019

Computer-Aided Digital Analysis And Classification of Signals

Various natural phenomena are described by stochastic signals, the analysis of which requires utilizing advanced, computationally demanding algorithms (such as simultaneous processing of signals in time and frequency domain using quadratic time-frequency distributions). Besides being stochastic, these signals are usually non-stationary and multi-componential. Hence, to process them, it is necessary to develop adaptive algorithms for […]

A Network for Gravitational Waves, Geophysics and Machine Learning

18.10.2018

The breakthrough discovery of gravitational waves on September 14, 2015 was made possible through synergy of techniques drawing from expertise in physics, mathematics, information science and computing.  At present, there is a rapidly growing interest in Machine Learning (ML), Deep Learning (DL), classification problems, data mining and visualization and, in general, in the development of […]

Image Processing, Information Engineering & Interdisciplinary Knowledge Exchange

01.10.2018

CEEPUS network “Image Processing, Information Engineering & Interdisciplinary Knowledge Exchange”, CIII-AT-0042, is dedicated to connecting researchers in the field of computer science and signal processing with medical experts. RITEH is a partner in the project from 2018.

River-Sea Interaction in the Context of Climate Change

01.07.2018

The project goal is to develop suitable methodology and computational algorithms for predicting complex interaction between storm surges, sea waves, and water discharges in coastal areas.

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Latest Projects

Machine Learning for Knowledge Transfer in Medical Radiology

Estimating River Discharges in Highly Stratified Estuaries

Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)

European Network for assuring food integrity using non-destructive spectral sensors

National Competence Centres in the Framework of EuroHPC (EUROCC)

Latest Research Papers

RANSAC-Based Signal Denoising Using Compressive Sensing

XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis

Artificial intelligence-based predictive model of nanoscale friction using experimental data

Rule-Based EEG Classifier Utilizing Local Entropy of Time–Frequency Distributions

Rethinking Effects of Innovation in Competition In The Era of New Digital Technologies

Latest News

Prof. dr. sc. Todorka Glushkova held a talk on “Cyber-Physical Production Systems (CPPS)”

Presentation of prof. S. Martinčić-Ipšić and prof. Ana Meštrović

Summer School on Image Processing, 8-17 July 2021, Rijeka, Croatia

Post covering our latest research published online

Featured article about our research

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Center for Artificial Intelligence and Cybersecurity
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University of Rijeka

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