Foto del docente

Alessandro Bevilacqua

Assistant professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems


Keywords: 3D computer vision machine learning pattern recognition medical and biomedical imaging aerial and satellite imaging microscopy imaging automotive machine vision virtual archeology image analysis 3D image processing radiomics CT image analysis 3D cell culture image-based self localization motion detection and motion analysis people tracking quantitative imaging photogrammetry unmanned aerial vehicle (UAV) augmented and mixed reality vision-based IoT

The research activity has been carried out primarily on the following fields of interest (thematic areas):

  1. Image and video sequence processing and analysis

         1.1  Image restoration (large astronomical and medical images)

         1.2  Medical and biomedical image processing and analysis

         1.3  Microscopy imaging

         1.4  2-D and 3-D medical image reconstruction

         1.5  Fusion of images acquired with different devices

         1.6  Video sequence processing and analysis

         1.7  Capacitive image processing and analysis

         1.8  3-D scene reconstruction with mobile devices

 2.  Pattern Recognition and machine learning

         2.1  Data denoising

         2.2  Feature generation and extraction

         2.3  Feature analysis and reduction through using parametric and non-parametric methods

         2.4  Template matching

         2.5  Classification methods

         2.6  Object recognition and classification in image and sequence

         2.7  Local and global optimization methods

 3.  High performance computing

         3.1  Parallel computing on SIMD (up to 1024 PE's) architecture

         3.2  Parallel distributed computing on MIMD and hybrid SIMD/MIMD architectures

 4.  Computer Vision

         4.1  Computer Aided Diagnosis (CAD) systems

              4.1.1  Quantitative analyses of cancer perfusion by means of Computed Tomography

              4.1.2  Automatic detection of regions of interest in histopathology images

              4.1.3  Detection and classification of micro-calcifications and masses in mammography

         4.2  Non-invasive image-based stem cells characterization systems

         4.3  Systems to measure skin aging through capacitive image analysis

         4.4  Visual surveillance and monitoring systems

              4.4.1  Motion detection under different environmental conditions

              4.4.2  Vehicle and people detection and tracking

              4.4.3  People behaviour analysis and automatic event detection

         4.5  Machine vision systems exploiting multiple 2-D and 3-D technologies

         4.6  Real time systems for augmented and mixed reality


Although the research activity has been carried out on more interdisciplinary areas, it has always kept one guiding thread. In fact, image processing (Area 1) has been always directed towards the automatic recognition of some image characteristics through using pattern recognition methods (Area 2), thus often requiring high performance (parallel or distributing) computing facilities (Area 3) in order to achieve useful results in an acceptable amount of time. The synergy of these three areas often converges in a wider research field known as Computer Vision (Area 4).