Laurence LIKFORMAN-SULEM is graduated in engineering from ENST-Bretagne (Ecole Nationale Superieure des Telecommunications) in 1984, and received her PhD from ENST-Paris in 1989 and her HDR (Habilitation a Diriger des Recherches) from Pierre & Marie Curie University in 2008. She is Associate Professor at Telecom ParisTech in the Department of Signal and Image Processing since 1991 where she serves as a senior instructor in Pattern Recognition, Signal Processing and Document Analysis.

Her research areas concern document analysis dedicated to handwritten and historical documents, document image understanding and character recognition.

Laurence Likforman-Sulem is an IEEE Senior Member and a founding member of the francophone GRCE (Groupe de Recherche en Communication Ecrite) association for the development of research activities in the field of document analysis and writing communication. She has been a Board member of this association from 1996 to 2013.

Laurence Likforman-Sulem chaired the program committees of CIFED (Conference Internationale Francophone sur l'Ecrit et le Document) held in Fribourg (Switzerland) in 2006, and the Document Recognition and Retrieval Conferences XVI and XVII held in San Jose (USA) in 2009 and 2010. She is the author or co-author of more than 90 publications, including the recently published book "Reconnaissance des Formes: Theorie et Pratique sous Matlab".
 

She has  participated in the following projects :

-  NARCISSE (1990): Network of Computer Art Image Systems

-  PHILECTRE  (1995-1998) : project of the French program for Cognitive Science (GIS) which is devoted to the edition of electronic books from manuscripts.

-  MAJORDOME (2000-2003): this project  has obtained the Eureka label and  is devoted to the development of an intelligent unified messaging system.

- BIOSECURE (2004-2007) : Network of Excellence for Secure Biometrics

- RIMES (2005-2008): TechnoVision project for the Recognition and Understanding of Handwritten incoming mails.

- ROME Mobile ( 2010-2012): FUI project for the Semantic Analysis of Web pages