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Vitoantonio Bevilacqua

Dipartimento di  Elettrotecnica ed Elettronica
Politecnico di Bari
Via Orabona, 4
70125 - Bari
+39 080 596 3326
bevilacqua@poliba.it
Vitoantonio Bevilacqua was born in Bari (Italy) in 1969 and obtained both the Bachelor Degree in Electronic Engineering and the Ph.D. in Electrical Engineering from Polytechnic of Bari in 1996 and 2000 respectively. He is currently a Tenured Assistant Professor in Computing Systems at the Department of Electrical and Electronic Engineering of Polytechnic of Bari where he teaches C/C++ Programming, Expert Systems, Medical Informatics and Image Processing. Since 1996 he has been working and investigating in the field of computer vision and image processing, neural networks, evolutionary algorithms, and hybrid expert systems. The main applications of his research are in real world , in biometry, in medicine and recently in bioinformatics and systems biology. In 2000 he was involved as Visiting Researcher in an EC funded TMR (Trans- Mobility of Researchers) network (ERB FMRX-CT97-0127) called CAMERA (CAd Modeling Environment from Range Images) and worked in Manchester (UK) in the field of geometric feature extraction and 3D objects reconstruction. He has published more than 70 papers in refereed journals, books, international conferences proceedings and chaired several sessions such as Speech Recognition, Biomedical Informatics, Intelligent Image Processing and Bioinformatics in international conferences.
He won the Best Paper Award at International Conference on Intelligent Computing held in Shanghai (ICIC 2008) , he was Program Chair of ICIC 2009, Publication Chair of ICIC 2010, Tutorial Chair of ICIC 2011 and is Publication Chair of ICIC 2012. On July 2011, he was invited as lecturer at International School on Medical Imaging using Bio-inspired and Soft Computing– Miere (Spain) MIBISOC FP7 – PEOPLE – ITN – 2008. GA N. 238819 – where presented his research on Intelligent Tumors Computer Aided Early Diagnosis and Therapy: Neural network and Genetic Algorithms frameworks.
Please visit http://www.vitoantoniobevilacqua.it for further activities details.

Books

2011
2010
2009

Journal articles

2011
Stefania Tommasi, Giuseppina Iannelli, Filippo Menolascina, Vita Fedele, Vitoantonio Bevilacqua, Angelo Paradiso (2011)  Determining and Interpreting New Predictive Rules for Breast Cancer Familial Inheritance   OMICS: A Journal of Integrative Biology. 15: 3. Impact factor 2010: 2.291  
Abstract: DNA copy number alterations have been discovered to be key genetic events in development and progression of cancer. No clear data of familial and sporadic breast cancer are available. We focused on looking for an independent platform as a tool to identify the chromosomal profile in familial versus sporadic breast cancer patients. A total of 124 breast cancer patients were studied utilizing aCGH. The dataset was analyzed using Gaussian Mixture Models to determine the thresholds in order to assess gene copy number changes and to minimize the impact of noise on further data analyses. The identification of regions of consistent aberration across samples was carried out with statistical approaches and machine learning tools to draw profiles for familial and sporadic groups. Familial and sporadic cases resulted with a chromosome imbalance of 15% [false discovery rate (FDR): qâ=â718E-5] and 18% (FDR: qâ=â632E-13), respectively. The differential map evidenced two cytogenetic bands (8p23 and 11q13â11q14) significantly altered in familial versus sporadic cases (FDR: qâ=â7E-4). The application of a new bioinformatics tool that discovers fuzzy classification rules (IFRAIS) let to individualize association of genes alterations that identify familial or sporadic cases. These results are comparable to those of the other systems used and are consistent from the biological point of view.
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Book chapters

2010
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Conference papers

2011
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Other

 

PhD theses

2000
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