Associate 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 am an Associate Professor of Computer Engineering at Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano (DEIB). At DEIB I have also received the Ph.D. in information technology (2008), and before I graduated in Mathematics at UniversitÓ Statale di Milano (2004).

My research interests concern image processing and machine learning, and in particular image restoration and analysis, change/anomaly detection, domain adaptation, learning in nonstationary environments. Since 2016 I have been teaching PhD courses concerning image processing and classification in Politecnico di Milano and Tampere University (Finland). I also gave a few tutorials in major conferences (IEEE ICASSP and IEEE IJCNN).

I am currently leading a few industrial research projects related to image understanding and anomaly detection. Together with Gilardoni Raggi X we design algorithms for X-ray inspection systems, with STMicroelectronics we investigate deep-learning models for monitoring silicon wafer production, and with T&O we design computer vison algorithms for automatically identifying products in images. I published more than 70 papers in international conferences and journals and I am currently Associate Editor for the IEEE Transactions on Image Processing and for the IEEE Computational Intelligence Magazine. In 2015 I have received the IBM Faculty Award, in 2016 the IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award, and in 2017 the Nokia Visiting Professor Scholarship.

  • October 2019, Thesis and Stage Opportunities : Thesis, Stages.
  • September 2019, Tutorial titled “ Anomaly Detection in Images” at ICIAP 2019 Trento, Italy. Tutorial website.
  • May 2019, two companies, Cleafy and Epta decided to sponsor two PhD students under my supervision from November 2019.
  • May 2019, ST Microelectronics sponsored a PhD student that I'll be supervising on a project titled “Advanced Learning Methods for Anomaly Detection in Signals and Images” (2019-2021)
  • January 2019, joining the editorial board of IEEE Computational Intelligence Magazine
  • November 2018, joining the editorial board of IEEE Transactions on Image Processing
  • January 2018, Accepted tutorial titled “ Change and Anomaly Detection in Signal, Images, and General Data Streams ” at IEEE ICASSP 2018 Calgary, Canada. Abstract, Tutorial website.
  • January 2018, Accepted tutorial titled “ Learning class imbalanced data streams ” at IEEE WCCI 2018 Rio de Janeiro, Brazil.
  • February 2017, tutorial titled “ Change and Anomaly Detection in Data Streams ” Tutorial at IJCNN 2017 Anchorage, Alaska, USA. Tutorial website
  • October 2016, Nokia Visiting Professor scolarship granted to my project “Foveated Image Features”.
  • October 2016, we have received the Best Regular Paper Award for our paper titled “CCM: Controlling the Change Magnitude in High Dimensional Data ” (2016) Download Preprint, Download Codes
  • October 2016, tutorial titled “ Change Detection in Data Streams: Big Data Challenges” at INNS Conference on Big Data 2016. Slides can be found here .
  • July 2016, we have received the Outstanding IEEE TNNLS Paper for our paper titled “JIT Classifiers for Recurrent Concepts” (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.
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Recently Organized Events and Special Issues