Alessandro Bruno

Dr Alessandro Bruno

  • Lecturer In Computing
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Biography

Alessandro Bruno is a Lecturer in Computing at Bournemouth University's Department of Computing and Informatics.

HE received his Master Degree in Computer Engineering in 2008 with a thesis on Biomedical Imaging. On March 1st of 2009, He started his PhD scholarship in Computer Engineering at DINFO (Computer Engineering Department) at Palermo University. In April 2012, he defended his PhD thesis, which was focused on the analysis of Local Keypoints and Texture for advanced image investigations.

From July 2012 up to July 2014, he won a position as a postdoctoral research fellow at Palermo University, focusing on Image Forensics, Object Recognition and Visual Perception.

From January 2015 until June 2015, He worked as a Software Engineer at the IZS (Istituto Zooprofilattico Sperimentale della Sicilia) over a project that involved optimising oil and flour tracking from the producer down to the consumer using software engineering techniques.

From January 2016 until January 2017, he worked at Palermo University as a postdoctoral research fellow...

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Research

Alessandro Bruno's main research interests focus on Computer Vision, Artificial Intelligence and Image Analysis.

He has mostly dealt with Visual Attention and Visual Saliency, Biomedical Imaging, Crowd Behaviour Analysis, Image and Video Forensics, Remote Sensing and Human-Computer Interaction.

He also works on deep learning solutions applied to image generation from different application domains.

Favourites

  • Bruno, A., Ardizzone, E., Vitabile, S. and Midiri, M., 2020. A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images. Journal of Medical Signals and Sensors, 10 (3), 158-173.
  • Bruno, A., Gugliuzza, F., Pirrone, R. and Ardizzone, E., 2020. A Multi-Scale Colour and Keypoint Density-Based Approach for Visual Saliency Detection. IEEE Access, 8, 121330-121343.
  • Bruno, A., Gugliuzza, F., Ardizzone, E., Giunta, C.C. and Pirrone, R., 2019. Image Content Enhancement Through Salient Regions Segmentation for People With Color Vision Deficiencies. i-Perception, 10 (3).
  • Bruno, A., Anzalone, A. and Vigorito, C., 2019. A method for cloud mapping in the field of view of the infra-red camera during the EUSO-SPB1 flight. Proceedings of Science, 358.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2015. Copy-Move Forgery Detection by Matching Triangles of Keypoints. IEEE Transactions on Information Forensics and Security, 10 (10), 2084-2094.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2013. Saliency based image cropping. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8156 LNCS (PART 1), 773-782.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2013. Scale detection via keypoint density maps in regular or near-regular textures. Pattern Recognition Letters, 34 (16), 2071-2078.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2011. Visual saliency by keypoints distribution analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6978 LNCS (PART 1), 691-699.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2010. Copy-move forgery detection via texture description. MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010, 59-64.

Journal Articles

  • Bruno, A., Moore, M., Zhang, J., Lancette, S., Ward, V.P. and Chang, J., 2021. Toward a head movement-based system for multilayer digital content exploration. Computer Animation and Virtual Worlds, 32 (2).
  • Abdalla, H., Bruno, A. et al., 2021. Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation. Journal of Cosmology and Astroparticle Physics, 2021, 048.
  • Bruno, A., Ardizzone, E., Vitabile, S. and Midiri, M., 2020. A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images. Journal of Medical Signals and Sensors, 10 (3), 158-173.
  • Bruno, A., Gugliuzza, F., Pirrone, R. and Ardizzone, E., 2020. A Multi-Scale Colour and Keypoint Density-Based Approach for Visual Saliency Detection. IEEE Access, 8, 121330-121343.
  • Bruno, A., Gugliuzza, F., Ardizzone, E., Giunta, C.C. and Pirrone, R., 2019. Image Content Enhancement Through Salient Regions Segmentation for People With Color Vision Deficiencies. i-Perception, 10 (3).
  • Gugliuzza, F., Bruno, A., Ardizzone, E. and Pirrone, R., 2019. An Effective Satellite Remote Sensing Tool Combining Hardware and Software Solutions. Communications in Computer and Information Science, 1074, 151-175.
  • Shinozaki, K., Bruno, A. et al., 2019. Estimation of the exposure for the air shower detection mode of EUSO-SPB1. Proceedings of Science, 358.
  • Anzalone, A., Bruno, A. and Isgro, F., 2019. Measurements of High Energy Cosmic Rays and Cloud presence: A method to estimate Cloud Coverage in Space and Ground-Based Infrared Images. NUCLEAR AND PARTICLE PHYSICS PROCEEDINGS, 306, 116-123.
  • D'Amore, A., Nasello, G., Luketich, S.K., Denisenko, D., Jacobs, D.L., Hoff, R., Gibson, G., Bruno, A., Raimondi, M.T. and Wagner, W.R., 2018. Meso-scale topological cues influence extracellular matrix production in a large deformation, elastomeric scaffold model. Soft Matter, 14 (42), 8483-8495.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2015. Copy-Move Forgery Detection by Matching Triangles of Keypoints. IEEE Transactions on Information Forensics and Security, 10 (10), 2084-2094.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2013. Scale detection via keypoint density maps in regular or near-regular textures. Pattern Recognition Letters, 34 (16), 2071-2078.

Chapters

  • Bruno, A., La Parola, V. and Pagliaro, A., 2021. Application of Machine and Deep Learning Methods to the Analysis of IACTs Data. Intelligent Astrophysics.. Springer.

Conferences

  • Bruno, A., Lancette, S., Zhang, J., Moore, M., Ward, V.P. and Chang, J., 2021. A saliency-based technique for advertisement layout optimisation to predict customers’ behaviour. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12662 LNCS, 495-507.
  • Sabeur, Z., Angelopoulos, C.M., Collick, L., Chechina, N., Cetinkaya, D. and Bruno, A., 2021. Advanced Cyber and Physical Situation Awareness in Urban Smart Spaces. Lecture Notes in Networks and Systems, 259, 428-441.
  • Bruno, A., Anzalone, A. and Vigorito, C., 2019. A method for cloud mapping in the field of view of the infra-red camera during the EUSO-SPB1 flight. Proceedings of Science, 358.
  • Shinozaki, K., Bruno, A. et al., 2019. Cloud distribution evaluated by the WRF model during the EUSO-SPB1 flight. ULTRA HIGH ENERGY COSMIC RAYS 2018 (UHECR 2018), 210.
  • Ardizzone, E., Bruno, A., Gugliuzza, F. and Pirrone, R., 2018. A low cost solution for NOAA remote sensing. SENSORNETS 2018 - Proceedings of the 7th International Conference on Sensor Networks, 2018-January, 128-134.
  • Ardizzone, E., Bruno, A. and Gugliuzza, F., 2017. Exploiting Visual Saliency Algorithms for Object-Based Attention: A New Color and Scale-Based Approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10485 LNCS, 191-201.
  • Comelli, A., Bruno, A., Di Vittorio, M.L., Ienzi, F., Lagalla, R., Vitabile, S. and Ardizzone, E., 2017. Automatic multi-seed detection for MR breast image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10484 LNCS, 706-717.
  • Bruno, A., Greco, L. and La Cascia, M., 2016. Views selection for SIFT based object modeling and recognition. 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2016.
  • Ardizzone, E., Bruno, A., Greco, L. and La Cascia, M., 2015. Why you trust in visual saliency. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9281, 589-596.
  • Insalaco, M., Bruno, A., Farruggia, A., Vitabile, S. and Ardizzone, E., 2015. An unsupervised method for suspicious regions detection in mammogram images. ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings, 2, 302-308.
  • Bruno, A., Greco, L. and La Cascia, M., 2014. Video object recognition and modeling by SIFT matching optimization. ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 662-670.
  • Bruno, A., Carminetti, P., Gentile, V., La Cascia, M. and Mancino, E., 2014. Palmprint principal lines extraction. BIOMS 2014 - 2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, Proceedings, 50-56.
  • Ardizzone, E., Bruno, A., Gallea, R., La Cascia, M. and Mazzola, G., 2013. Toward an integrated system for surveillance and behaviour analysis of groups and people. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8158 LNCS, 474-481.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2013. Saliency based image cropping. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8156 LNCS (PART 1), 773-782.
  • Bruno, A., Greco, L. and La Cascia, M., 2013. Object recognition and modeling using SIFT features. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8192 LNCS, 250-261.
  • Ardizzone, E. and Bruno, A., 2012. Image Quality Assessment by saliency maps. VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications, 1, 479-483.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2011. Visual saliency by keypoints distribution analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6978 LNCS (PART 1), 691-699.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2010. Detecting multiple copies in tampered images. Proceedings - International Conference on Image Processing, ICIP, 2117-2120.
  • Ardizzone, E., Bruno, A. and Mazzola, G., 2010. Copy-move forgery detection via texture description. MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010, 59-64.

Journal Reviewing/Refereeing

  • IEEE Access, Anonymous peer review, 01 Jun 2021

Public Engagement & Outreach Activities

  • I held a presentation about digital images and their authenticity for the students of Bournemouth University International College Kaplan International Pathways.