Ongoing Projects


The incidences of breast cancer have risen in Cyprus from under 300 in 2000 to over 520 in 2010. Mammographic breast density is recognized as one of the most important risk factors in developing breast cancer. Breast density may mask abnormalities and result in a false negative, but women with dense breast are at a 4 to 6 times higher risk of breast cancer. Information on breast density and features can be most important in the development of density specific Computer Aided Detection (CAD) systems with higher sensitivity and specificity for use in clinical settings.

The ABCD-CAD project will develop novel algorithms for breast density classification and use these and the corresponding results to build a complete CAD system.

The vision of the proposed Linked2Safety project is to advance clinical practice and accelerate medical research, to improve the quality of healthcare, benefiting public health, and to enhance patients’ safety; by providing pharmaceutical companies, healthcare professionals and patients with an innovative semantic interoperability framework, a sustainable business model, and a scalable technical infrastructure & platform for the efficient, homogenized access to and the effective, viable utilization of the increasing wealth of medical information contained in the EHRs deployed and maintained at regional and/or national level across Europe, dynamically interconnecting distributed patients data to medical research efforts, respecting patients’ anonymity, as well as European and national legislation.

The vision of the GRANATUM project is to bridge the information, knowledge and collaboration gap among biomedical researchers in Europe (at least) ensuring that the biomedical scientific community has homogenized, integrated access to the globally available information and data resources needed to perform complex cancer chemoprevention experiments and conduct studies on large-scale datasets.
Collaborative Research: Design, Implementation and Dissemination of Multidisciplinary online Java Digital Signal Processing (J-DSP)

This multidisciplinary CCLI phase 3 proposal is on a collaborative project involving several universities coordinated by Arizona State University (ASU). It builds on several products and outcomes of two previous Phase 2 CCLI EMDs and revolves around our online software technology J-DSP. This Phase 3 proposed comprehensive project expands the scope of J-DSP beyond Electrical Engineering to other fields associate with multidisciplinary applications, including J-DSP/Earth Systems version which will be customized for earth system sciences and geology, extensions of J-DSP to arts and media, interpreting biological signals from ion-channel sensors, embedding J-DSP in FPGA systems courses, and other.