I am a lecturer (Maitre de Conférences) at the University Paris-Dauphine, where I am a member of the LAMSADE research lab. Before moving to Paris, I have been a researcher for several years at the University of Manchester, and prior to that a PhD student at the University of Grenoble. My research interests lie in the areas of information and knowledge management. In particular, I have made key contributions to the areas of pay-as-you data integration, e-Science, scientific workflow management, provenance tracking and exploitation, and semantic web services. I have published over 50 papers in the aforementioned topics. Most of my research proposals were validated against real-world applications from the fields of astronomy, biodiversity and life sciences. I am a member of the editorial board of the MethodX Elsevier paper. I have participated in multiple European-, French- and UK-funded projects, and have been an active member of the W3C Provenance working group, the NSF funded DataONE working group on scientific workflows and provenance, and more recently the Research Object for Scholarly Communication Community Group.  I am also co-leading the provenance benchmarking activity ProvBench, which seeks to produce a family of benchmarks for testing provenance proposals.
  • As of december 2015, our research object article  has been downloaded or viewed 1649 times since its publication.
  • The slides of some of my talks are available on slideshare.
  • We have now a blog in which we report on practical aspects provenance. You can also find a blog that I wrote by analyzing W3C PROV implementations here.
Note for prospective students
  • I am interested in high quality PhD students. Look at my DBLP entry or google scholar profile for the research I am interested in.  If you want to pursue a PhD in this area, contact me.
  • If your are interested in getting some experience with a research environment through an internship in the broad areas of information and knowledge management, then you can contact me.
Research interests
  • User- and Crowd-Driven Data Integration
  • Scientific Workflows
  • Data and Process Provenance
  • Privacy Preserving Data Integration
  • Semantic Web Services
  • eScience
Research projects
    • ReProVirtuFlow: I am a member of the MaDICS working group (Action) on "Reproducibility of scientific experiments".

    • CAIR: Contextual and Aggregrated Information Retrieval. Funded by ANR, 2015-2017.

    • Privacy4SmartCPs : Une approche de partage et d’intégration de données préservant la vie privée dans des environnements cyber-physiques. PEPS, 2015.

    • Workflow Driven Data Integration in Cloud Environments. Funded by Campus France, Utique, 2015-2017. 
    • Wf4ever: This project investigates scientific workflow preservation. I am responsible for the design of the research object model that is used for bundling workflow definitions with auxiliary information necessary for workflow sustainability. I am also responsible for coordinating the provenance task force in this project. 
    • myGrid platform: I am in charge of knowledge transfer. In particular, I work closely with software developers to make sure that the research results produced in the Wf4Ever project are implemented in myGrid tools, in particular Taverna and myExperiment, and that latest developments in provenance and annotation standards are adopted.
    • On-Demand Data Integration: Dataspaces by Refinement (July 2008 - June 2011). I was responsible for investigating the pay-as-you-go feature of dataspaces. I proposed methods and algorithms showing that schema mappings can be incrementally annotated, selected and refined based on user feedback.
    • FuGE, a Standard Format for Representing Functional Genomics Experiment Data (November 2007 - June 2008). I designed and implemented a web portal for querying and displaying FuGE proteomics data.
    • iSPIDER, In Silico Proteome Integrated Data Environment Resource (November 2004 - October 2007). I was responsible for designing and implementing a portal that provides integrated access to four proteomics data sources. I have also conducted research on semantic web services. Specifically, I showed how semantic annotations can be used to identify mismatches between connected operations in a workflow, and how such annotations can be inferred.
      Contact details
            Dr. Khalid Belhajjame 
            Université Paris Dauphine
            Place du Maréchal de Lattre de Tassigny 
            75775 Paris Cedex 16, France

            email: kbelhajj (at) googlemail (dot) com

            Tel: +33 1 44054309

            My office is P 620ter on the sixth floor
            My twitter account is kbelhajj