1/2011

Dr Moncef Gabbouj explores breakthrough innovations

Dr Moncef Gabbouj

 

Moncef Gabbouj is known internationally for
his work in the field of nonlinear digital filters.
He also enjoys worldwide visibility in the field
of content-based information retrieval from
audio and video databases.

 

The IEEE Board of Directors elevated Dr Moncef Gabbouj to IEEE Fellow, effective 1 January 2011, in recognition of his contributions to nonlinear signal processing and video communication. Dr Gabbouj currently holds a professorship in the Department of Signal Processing at TUT.

IEEE is the world's leading professional association for advancing technology for humanity. Through its 385,000 members in 160 countries, the association is a leading authority on a wide variety of areas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics.

IEEE Fellow is the highest grade of membership, recognized by the technical community as a prestigious honour and an important career achievement.

Gabbouj's research interests are, among others, centred on computational signal processing methods that are used to remove noise from digitized speech and enhance digital image and video. Already in the 1990s, Gabbouj and his colleagues published frequently cited papers on breakthrough innovations.

Fine-tuning search engines

In summer 2010, the Academy of Finland appointed Gabbouj as Academy Professor for the term 2011 - 2015. To be eligible for appointment as academy professor, the candidates must have demonstrated excellence in scholarly activity and be recognized for significant contributions to their research fields. Academy professors hold an employment relationship with the organization they work for.

During his term as Academy Professor, Gabbouj plans to develop a novel data-driven evolutionary multimedia search engine that is capable of continuous learning based on user feedback and makes use of a novel evolutionary feature synthesis framework. The performance of the kernel will be optimized using the particle swarm optimization recently developed by Gabbouj's research group.

WHO? Moncef Gabbouj

  • Earned his PhD at Purdue University, USA, in 1989, after which he came to Tampere University of Technology to pursue research and to teach.
  • Gabbouj's research interests span multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing and analysis as well as video processing, coding and communications.
  • Vice-Director of the Signal Processing Algorithm Group (SPAG) since 2000. The Academy of Finland has awarded SPAG the Centre of Excellence status.
  • Secretary of the International Advisory Board of Tampere International Center of Signal Processing (TICSP) and co-founder of the international IT master's programmes at TUT.
  • Interests: travelling, fishing, horseback riding and international cuisine
 

"The new framework will synthesize new media content features with a high discrimination power, in such a way that the kernel of the search engine produces better and well separated semantic classes," says Gabbouj.

In addition, Gabbouj will investigate research topics ranging from novel video compression, video transport, voice conversion, network coding and SAR imaging.

 

 

 

 

 

 

 

 

 

 

 

 

 

Text: Tarja Luukko and Marjut Kemiläinen
Photo: Tarja Luukko

 
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