Students

PhD students – past

  • Manel Zoghlami,  September 2015 – December 2019, co-advising (40%) with Engelbert Mephu Nguifo (30),  Mondher Maddouri (20%) and Amel Borgi (10): « Multiple instance learning approaches for ionizing-radiation-resistance prediction « 

PhD students – current

  • Kamrul Islam, since November 2019, co-advising (50%) with Malika Smail-Tabbone: « Distributed link prediction in large complex graphs: application to biomolecule interactions »
  • Bishnu Sarker, since November 2017, co-advising (50 %) with Dave Ritchie: « Developing distributed graph-based approaches for large-scale protein function annotation and knowledge discovery« 
  • Wissem Inoubli, since September 2016, co-advising (30%) with Engelbert Mephu Nguifo, Haithem Mezni and Mondher Maddouri: « Mining and Analysis of Dynamic graphs« 

Master students

  • Amal Stiti, 2019/2020, 100%: « Protein function annotation of large protein graphs ». 
  • Navya Khare, 2018/2019, 100%:  « Graph Based Automatic Protein Function Annotation Improved By Semantic Similarity ».
  • Zied Hermi, 2015/2016, co-advising (50%) with Haithem Mezni: « Frequent subgraph mining in large single graphs ».
  • Chayma Sakouhi, 2014/2015, co-advising (30%) with Alberto Montresor and Salma Sassi: « Edge-based graph partitioning of large dynamic graphs« .
  • Cyrine Arouri, 2013/2014, co-advising (30%) with Engelbert Mephu Nguifo, Cécile Roucelle and Gaelle Bonnet: « Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction ».

Other

  • Guillaume Lassagne, 2019/2020, Engineering school: 2nd year
  • Manar Amezrine, 2019/2020, Engineering school: 2nd year
  • Tristan Durey, 2019/2020, Engineering school: 2nd year
  • Damien Vantourout, Engineering school: 2nd year
  • Cydric Mea, Engineering school: 2nd year