Université Alioune Diop
ICT Department, URF SAT
BP. 30 Bambey, Senegal
Mouhamadou Lamine Ba is an assistant professor in the Information, Communication, and Technology Department of the Université Alioune Diop de Bambey, Senegal (ICT Department, URF SAT, UADB). He is a lecturer on Databases and Business Intelligence and a member of the EIR-IMTICE research group. Mouhamadou Lamine Ba is graduated with a PhD in Computer Science and Networks from Télécom ParisTech under the supervision of Talel Abdessalem and Pierre Senellart. Prior to that, he got a Bachelor and a Master in Computer Science and Mathematics from Université Cheikh Anta Diop de Dakar, Senegal. Mouhamadou Lamine Ba has been involved in several research projects (DataRing, DROD, CCIPX, Chaire big data) and review committees (Information Science, BigComp, EDBT, iiWAS). He published research and demo papers in international conferences and Workshops (SIGMOD, WWW, DocEng, EDBT, DASFAA Workshops, etc.) and spent some times in industry as a computer expert or an intern.
This is only a selected list of published papers and prepublications. For the complete list of all papers, scientific reports, and drafts, please refer to section publications.
Ngurah Agus Sanjaya ER, M. Lamine BA, Talel Abdessalem, Stephane Bressan: Truthfulness of candidates in set of t-uples expansion. March 2017. Under review.
Laure Bert-Equil, M. Lamine BA:
Veracity of Big Data: Challenges of Cross-Modal Truth Discovery. Journal of Data and Information Quality (JDIQ), August 2016.
Lamine BA, Laure Bert-Equille, Kushal Shah, and Hossam M. Hammady: VERA: A Platform for Veracity Estimation over Web Data. In Proc. WWW, Montreal, Canada, April 2016 (demonstration).
M. Lamine BA, Roxana Horincar, P. Senellart, and Huayu Wu: Truth Finding with Attribute Partitioning. In Proc. WebDB, Melbourne, Australia, May 2015.
M. Lamine BA : Exploitation de la structure des données incertaines. PhD Thesis, April 2012 – March 2015. Manuscrit in English.
M. Lamine BA, T. Abdessalem, and P. Senellart: Uncertain Version Control in Open Collaborative Editing of Tree-Structured Documents. In Proc. DocEng, Florence, Italy, September 2013. (Runner-up for the best student paper)
M. Lamine BA, T. Abdessalem, and P. Senellart: Merging Uncertain Multi-Version XML Documents. In Proc. DChanges, Florence, Italy, September 2013.
T. Abdessalem, M. Lamine BA, and P. Senellart: A probabilistic XML Merging Tool. In Proc. EDBT, Uppsula, Sweden, March 2011.
- 2016 -- 2017
- Business Intelligence
- Introduction to DBMS
- Distributed Databases
- Ongoing projects
- PPE Project
In poor countries like Senegal, educational systems suffer from the lack of means to guide students in making good choices about the right educational programs to follow according to their targeted future professional job. The goal of this project, called PPE for "platforme pédagogique d'orientation" in french, is to fill this gap by proposing a platform able to recommend educational programs and professional career to under graduated and graduated students. This project is made in the spirit of improving the educational system in Senegal based on information technologies.
In Senegal the access of health facilities is a big issue for people because of the lack of enough human and material resources in health domain.
In addition, there is a lack of enough information and statistics about the distribution of the diseases per regions, populations, age, etc. so that the existing
medical infrastructures are not properly distributed in the country. Also, the government does not really know what kind of specific medical human resources
the country needs according to the most prominent diseases. The goal of this project is to propose "un Observatoire de la Medecine" (An Observatory for Medical Domain)
that will provide enough medical information and statistics about population medical situations in Senegal.
- Master Students
Subject : Setting up dynamic dashboard and automatic reports in Excel for media survey and marketing domain. (this internship is done in Omedia Senegal, an enterprise specialized on media survey and marketing domain)