Contact
Students

Current Ph.D students:

  • 2019-2022 : Marwa ELLEUCH: process mining by log analysis of communication tools
  • 2016-2021 : Wassim Sellil ATOUI : Dynamic knowledge bases for Software Defined Networking: coherent views between resources, topology, configuration, and service.
  • 2016-2020 : Rania Ben Halima : Cost optimization of business processes based on time constraints on Cloud resources
  • 2016-2020 : Rania Ben Halima : Cost optimization of business processes based on time constraints on Cloud resources
  • 2016-2020 : Hayet BRABRA : A Semantic Framework Supporting correct and efficient Business Process as Service Variability in the Cloud

Previous Ph.D students:

  • 2015-2019 : Kunal Suri : Mechanisms for reconfiguration and adaptation of complex manufacturing processes and their associated Human-Machine Interfaces for the Factory of the Future
  • 2013-2017 : Emna Hachicha : Towards an energy-aware management of Service-based Business Processes in the cloud
  • 2014-2018 : Souha Boubaker : Extending resource perspective in business process development within a Cloud Computing Environment
  • 2013-2016 : Karn Yongsiriwit : Modelling and mining process variants in Cloud environments
  • 2012-2015 : Nour Assy : Supporting variability in configurable business process
  • 2009-2012: Chan N. Nguyen :Usage-based behavioral filtering for web services recommendation
  • 2008-2011: Mohamed Sellami : A P2P approach for service discovery in pervasive environments

MSc students:

  • 2017 : Zeinab Abou Khalil: Configurable Process Mining
  • 2017 : Ikram Garfatta : Correct Cloud Resource Allocation
  • 2016 : Mohamed Elmahdi Bennasseur : Cloud Resource Simulation
  • 2014 : Nidhal Rassaoui : Association Rules for Configurable Processes
  • 2013 :Rami Sellami: Organisational Workflow Mining
  • 2012 : Nattawat Nonsung: Retrieving Similar Activities in Business Process
  • 2012: Mondi RAVI : Semantic Enrichment of Workflow Logs
  • 2011 : Seng Ly Leng : Semantic Workflow Mining
  • 2009 : Chan N. Nguyen : Recommender system for enhancing web services discovery

 

Top
Back to Computer Science Department Access Map Terms of Service