GIACOMO BORACCHI, Ph.D.
Associate Professor
Dipartimento di Elettronica, Informazione e Bioingegneria
Politecnico di Milano

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

Tel: +39 02 2399 3467
E-mail: firstname.lastname@polimi.it

 
Biosketch    

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 Universitá 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.

Thesis and Stage Opportunities (updated slides on September 2020);


News
  • September 2020, Tutorial titled “ Anomaly Detection in Images ” at IEEE ICIP 2020 Abu Dhabi Tutorial website.
  • 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.
 
Publications
 
Tutorials and Talks
 
Teaching and Available Theses
 
Projects and Codes
 
CV
 
Recently Organized Events and Special Issues