Djamel Bouchaffra
Biographical Sketch
Dr. Djamel Bouchaffra has just joined the Department of Mathematics and Computer Science at Grambling State University, Louisiana as an Associate Professor.
Dr. Bouchaffra has been an Assistant Professor at Oakland University, Michigan from 2001 until 2008. He was teaching graduate and undergraduate courses such as machine learning and pattern recognition as well as operating systems.
Previous to that, he was a research scientist at the Center of Excellence for Document Analysis and Recognition (CEDAR) at the State University of New York at Buffalo. While he was at CEDAR, Professor Bouchaffra has worked on handwriting recognition (offline and online) and linguistic post-processing. He has contributed on designing character recognizers for some sponsored federal projects. He has also developed several Bayesian language models. These models merge signal and language information at a same level of analysis. His work has been published in peer conferences and journals. Besides, he was one of the technical leads of other sponsored projects such as human-machine multimodal interaction systems''. He was also consultant in other projects such as "Multimodal System for Video Annotation and Retrieval".
He held a postdoctoral position at the University of Quebec at Montreal (Canada) under the direction of Professor Jean Guy Meunier. During his postdoctoral position, he has worked on "the theory of classifiers". More precisely, he was involved in textual classification using Gibbs Markov Random Fields and ART (Adaptive Resonance Theory) neural networks.
From 1992-1994, he was an assistant professor of Computer Science at the University of Sciences of Dijon (France).
Dr. Djamel Bouchaffra has completed a (DEA: Diplome d'Etudes Approfondies) (M.Sc.) in Applied Mathematics and Computer Science and a PhD in Computer Science from the University of Grenoble, France. During his PhD thesis supervised by Jacques Rouault and Ludovic Lebart (CNRS-Paris), Dr. Bouchaffra taught Mathematics and Computer Science at Joseph Fourier University, Grenoble, France. During his PhD dissertation, he worked on the problem of parts of speech tagging using Markovian models. He also contributed in uncertain reasoning (probabilistic logic) encountered in Natural Language Processing and proposed a novel type of HMMs.
He has chaired several sessions in prestigious conferences. He was one of the general chairs and organizers of the IEEE CSIT'2005 conference. He is a regular reviewer for several IEEE journals such as TPAMI, TNN, and Image Processing.
Dr. Bouchaffra is serving as an editorial board member in several journals including Journal of Pattern Recognition (Elsevier) and a member of the NASA panel in the ADP program.
Professor Bouchaffra is a senior member of the IEEE, a member of the IEEE Computer Society and the vice chair of the IEEE/SEM Computer Section.