lehoaian

 

Address:

 

LITA - UFR MIM, University of Lorraine,
Saulcy Island, 57045 Metz Cedex 01, France
Tel: (33) - [0] 3 - 87 31 54 41 
Fax: (33) - [0] 3 - 87 31 53 09 
Email: hoai-an.le-thi@univ-lorraine dot fr
  
  Le Thi Hoai An
   Full Professor of Exceptional Class
   Director of Theoretical and Applied Computer Science Laboratory  LITA
   University of Lorraine.

 

 

 

 

  

 

 


 

  • Former student of l'Ecole Normale Supérieure de Hanoi, Viet Nam (1976-1980).
  • PhD: University of Rouen, France (October 1992 - December 1994).
  • Habilitation Research: University of Rouen, France (June 1997).

 

 


 

 

 

 1982 - 1991: Teacher-researcher, l'Ecole Normale Supérieure de Hanoi.


 1994 - 1997:  Researcher, INSA-Rouen.


 1998 - 2003: Associate Professor, INSA-Rouen.


 2003 - 2008: Full Professor 2nd classPaul Verlaine university - Metz.


 2008 - 2012: Full Professor 1st classPaul Verlaine university - Metz.


 Since  2012 : Full Professor Exceptional classUniversity of Lorraine.

 

 

Le Thi Hoai An earned her PhD with Highest Distinction in Optimization in 1994, and her Habilitation in 1997 both from university of Rouen, France. From 1998 to 2003 she was Associate Professor at the National Institute for Applied sciences, Rouen. Since 2003 she is Full Professor at the University of Paul Verlaine – Metz (which becomes University of Lorraine in 2012). She is currently Director of Laboratory of Theoretical & Applied Computer Science, university of Lorraine and serving as Exceptional Class Professor. She is the author/co-author of more than 220 journal articles, international conference papers and book chapters, the co-editor of 7 books and 12 special issues of international journals, and supervisor of 30 PhD theses. She is Chair of Scientific Committee and Chair of Organizing Committee as well as member of Scientific Committee of numerous  International Conferences, and leader of several regional/ national/ international projects. Her research interests include Numerical Analysis, Optimization and Operations Research and their applications in Information Systems and Industrial Complex Systems in various fields such as, Data Mining and Machine Learning, Telecommunication, Transportation, Supply Chain and Management, Finance, Bioinformatics, Image Analysis, Cryptology, Security & Reliability. She is the co-founder (with Pham Dinh Tao) of DC programming and DCA, an innovative approach in nonconvex programming and global optimization. These theoretical and algorithmic tools, becoming now classic and increasingly popular, have been successfully applied by researchers and practitioners all the world over to model and solve their real-world smooth/nonsmooth nonconvex programs, especially in the large-scale setting.

 

 


 

  

   Event 

 

             6th World Congress on Global Optimization WCGO 2019, July 8-10, 2019, Metz, France

https://wcgo2019.event.univ-lorraine.fr/

 

 

            Howard Rosenbrock Prize 2017

https://link.springer.com/article/10.1007/s11081-018-9397-2

This prize is awarded annually to honor the authors of the best paper published in Optimization and Engineering journal in the previous year. 

The winners of the 2017 Rosenbrock Prize are Hoai An Le Thi and Tao Pham Dinh for their work titled, Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model.

 

 

30th birthday of DC programming and DCA, May 2015

http://www.lita.univ-lorraine.fr/iccsama2015/  

https://link.springer.com/article/10.1007/s10107-018-1235-y

 

 

    Most recent publications 

 

  • Convergence Analysis of Difference-of-Convex Algorithm with Subanalytic Data. Journal of Optimization Theory and Applications, Volume 179, Issue 1, pp. 103–126, October 2018
  • Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. IJCAI 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, pp. 1369-1375, 2018
  • DC programming and DCA: thirty years of developments. Mathematical Programming, Volume 169, Issue 1, pp. 5-68, May 2018
  • An efficient DCA based algorithm for power control in large scale wireless networks. Applied Mathematics and Computation, Volume 318, pp. 215-226, 1 February 2018
  • Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification. ICML 2017, Proceedings of the 34th International Conference on Machine Learning, pp. 3394-3403, 2017
  • Sparse Covariance Matrix Estimation by DCA-Based Algorithms. Neural Computation, Volume 29, Issue 11, pp. 3040-3077, November 2017
  • Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model. Optimization and Engineering, Volume 18, Issue 4, pp. 873–906, December 2017
  • DC programming and DCA for enhancing Physical Layer Security via Cooperative Jamming, Computers and Operation ResearchVolume 87, pp. 235-244, November 2017
  • DC programming and DCA for solving Brugnano–Casulli piecewise linear systems, Computers and Operation Research, Volume 87, pp. 196-204, November 2017

 

      More ...