Assistant Professor
Dipartimento di Elettronica, Informazione e Bioingegneria
Politecnico di Milano

Giacomo Boracchi
Dipartimento di Elettronica e Informazione, Politecnico di Milano
Via G. Ponzio, 34/5, 20133 Milano, Italy

Tel: +39 02 2399 3467


I graduated in Mathematics at UniversitÓ Statale degli Studi di Milano, Italy, in 2004 and in 2005 I have been researcher at Tampere International Center for Signal Processing, Finland. In 2008 I received a Ph.D. in Information Technology at the Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy, where I have also been Post Doctoral researcher.

Currently, I am an assistant professor at Dipartimento di Elettronica e Informazione, Politecnico di Milano, and I am actively collaborating with Computational Imaging group in the Department of Signal Processing, Tampere University of Technology.

My research interests encompass two different areas: computational intelligence and image analysis and enhancement. In particular, my research activity covers the following lines: learning methods for nonstationary environments, change/anomaly detection, computational imaging, and image restoration.

  • October 2016, I will have a tutorial “ Change Detection in Data Streams: Big Data Challenges” at INNS Conference on Big Data 2016.
  • July 2016, Our paper titled “JIT Classifiers for Recurrent Concepts” was awarded as Outstanding IEEE TNNLS Paper (2016) Download Preprint
  • July 2016, I had a talk on “Change Detection in Multivariate Data: Likelihood and Detectability Loss” at IBM TJ Watson, New York. Slides can be found here.
  • December 2015, I had a tutorial on “Learning in Nonstationary Environments: Perspectives and Applications” at 2015 IEEE Symposium Series on Computational Intelligence (SSCI 2015) together with Gregory Ditzler. Our slides can be found here and here
  • September 2015, I had a tutorial on “Learning Under Concept Drift: Methodologies and Applications” at EANN 2015 (September 2015). Slides can be found here
  • August 2015, my project titled “Anomaly Detection in Anatomical Brain Images by Sparse Representations” received an IBM Faculty Award (2015)
  • May 2015, ST Microelectronics sponsored a PhD student that I'll be supervising on a project titled “Intelligent embedded systems for high-dimensional and highcomplexity datastreams” (2015-2018)
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