bring this page
with you
Structure Department of Information Engineering
Telephone 0498277934
Qualification Ricercatore a tempo determinato di tipo B
University telephone book  Show

Office hours
Ufficio docente Il ricevimento è disponibile tutti i giorni, previo appuntamento via email.
Student consulting is available every day upon appointment via email.
(updated on 28/06/2018 23:42)

Curriculum Vitae
I am an Assistant Professor at the Department of Information Engineering (DEI). My research interests are focused on computer vision for robotic applications, intelligent video surveillance systems, pattern analysis and recognition, with a specific focus on people re-identification. I also work in the field of machine learning and deep learning for bio image analysis. Another topic is about industrial applications of robotics and computer vision. During my PhD I worked in the field of autonomous driving and pedestrian protection, with a focus on night vision in far infrared images.

I am the reference person for the research projects Eureca (aircraft robotic assembly) and Coroma (automatic analysis of industrial environments). I have co-founded Laura Sapiens, an innovative startup focused on innovative human-machine interface.

I have been visiting scholar at Oshkosh Truck Corp. (Oshkosh, WI, USA), 2007, University of Lincoln, UK, 2010, Sungkyungkwan University, Seoul, South Korea, 2014, University of Zurich, CH, 2016.

Francesco Castelli, Stefano Michieletto, Stefano Ghidoni e Enrico Pagello. A machine learning-based visual servoing approach for fast robot control in industrial setting. International Journal of Advanced Robotic Systems, 14(6):1–10, 2017.

Stefano Ghidoni e Matteo Munaro. A multi-viewpoint feature-based re-identification system driven by skeleton keypoints. Robotics and Autonomous Systems, 90:45–54, 2017.

Loris Nanni e Stefano Ghidoni. How could a subcellular image, or a painting by van gogh, be similar to a great white shark or to a pizza? Pattern Recognition Letters, 85:1–7, 2017.

Loris Nanni, Stefano Ghidoni e Sheryl Brahnam. Handcrafted vs Non-Handcrafted Features for computer
vision classification. Pattern Recognition, 71:158–172, 2017.

Loris Nanni, Michelangelo Paci, Sheryl Brahnam e Stefano Ghidoni. An ensemble of visual features for
gaussians of local descriptors and non-binary coding for texture descriptors. Expert Systems with Applications, 82:27–39, 2017.

Alessandra Lumini, Loris Nanni e Stefano Ghidoni. Deep features combined with hand-crafted features for face recognition. International Journal of Computer Research, 23(2), 2016.

Loris Nanni, Matteo Munaro, Stefano Ghidoni, Emanuele Menegatti e Sheryl Brahnam. Ensemble of different approaches for a reliable person re-identification system. Applied Computing and Informatics, 12(2):142–153, 2016.

Stefano Ghidoni, Mauro Antonello, Loris Nanni e Emanuele Menegatti. A thermographic visual inspection
system for crack detection in metal parts exploiting a robotic workcell. Robotics and Autonomous Systems (RAS), 74 part B:351–359, 2015.

Stefano Ghidoni, Matteo Finotto e Emanuele Menegatti. Automatic color inspection for colored wires in electric cables. IEEE Transactions on Automation Science and Engineering, 12(2):596–607, 2015.

Loris Nanni, Sheryl Brahnam, Stefano Ghidoni e Alessandra Lumini. Toward a general-purpose heterogeneous ensemble for pattern classification. Computational Intelligence and Neuroscience, 2015(85):1–10, 2015.

Loris Nanni, Sheryl Brahnam, Stefano Ghidoni e Emanuele Menegatti. Improving the descriptors extracted from the co-occurrence matrix using preprocessing approaches. Expert Systems with Applications, 42(22):8989–9000, 2015.

Loris Nanni, Sheryl Brahnam, Stefano Ghidoni e Emanuele Menegatti. Region-based approaches and descriptors extracted from the co-occurrence matrix. International Journal of Latest Research in Science and Technology, 3(6):192–200, 2015.

Stefano Ghidoni, Salvatore Maria Anzalone, Matteo Munaro, Stefano Michieletto e Emanuele Menegatti. A distributed perception infrastructure for robot assisted living. Robotics and Autonomous Systems (RAS), 62(9):1316–1328, 2014.

Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Emanuele Menegatti e Tonya Barrier. A comparison of methods for extracting information from the co-occurrence matrix for subcellular classification. Expert Systems with Applications, 40(18):7457–7467, 2013.

Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Emanuele Menegatti e Tonya Barrier. Different approaches for extracting information from the co-occurrence matrix. PloS one, 8(12), 2013.

Alberto Broggi, Andrea Cappalunga, Claudio Caraffi, Stefano Cattani, Stefano Ghidoni, Paolo Grisleri, Pier Paolo Porta, Matteo Posterli e Paolo Zani. TerraMax Vision at the Urban Challenge 2007. IEEE Trans. on Intelligent Transportation Systems, 11(1):194–205, Marzo 2010. ISSN: 1524-9050.

List of taught course units in A.Y. 2019/20
Degree course code (?) Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
IN0521 COMMON INP9087774 9 1st Year (2019/20) Second
IN0527 COMMON INP9087774 9 1st Year (2019/20) Second
IN0508 COMMON INP8084324 6 2nd Year (2019/20) First