UMR CNRS 7253

Site Tools

students

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
students [2020/02/11 21:47] – [Post-doctorate researchers] sdestercstudents [2024/04/03 14:58] (current) – sdesterc
Line 4: Line 4:
  
  
-<html> 
 <!-- <!--
  * Thesis position: {{thesis_graphs.pdf|"Learning and predicting graphs from limited information"}}  * Thesis position: {{thesis_graphs.pdf|"Learning and predicting graphs from limited information"}}
Line 15: Line 14:
  
 --> -->
-</html>+
  
 ====== Post-doctorate researchers  ====== ====== Post-doctorate researchers  ======
 +
 +== Soon coming ==
 +
  
 == In Progress == == In Progress ==
  
-  * Arthur Van Camp: "Preference learning under severe uncertainty" - PreServe project+  * Ander Gray (2024-, lab sponsored): "Dealing with severe uncertainties in risk propagation and machine learning" 
 +  * Louenas Bounia (2024-, SAFE AI Chair) 
 +  
  
 == Past == == Past ==
  
-  * Yann Soullard (co-supervised with I. Thouvenin): "Pattern recognition and sensory feedback in virtual environment for gesture training" - now Postdoctoral researcher at INSA Rouen +  * Cyprien Gilet (2022, Fondation UTC): "Controlling classification errors" - Now permanent lecturer at Université de Technologie de Compiègne 
-  * Nadia Ben Abdallah (co-supervised with M. Sallak): "Expert elicitation in reliability studies" - now Postdoctoral researcher at NATO +  * Tom Davot (2021-2022, Labex MS2T, 2023, ANR PreServe): "Graph optimisation under severe uncertainty" - Now post-doctoral researcher at Glasgow 
-  * Olivier Cailloux (co-supervised with B. Quost): "Aggregation of partial preferences" - now lecturer at Paris Dauphine +  * Tathagata Basu (2021-2022, PreServe ANR project): "Preference learning under severe uncertainty" - Now post-doctoral researcher at Strathclyde 
-  * Ignacio Montes: "Design of multi-objective systems under uncertainty" - now lecturer at University of Oviedo+  * Arthur Van Camp (2019-2020, PreServe ANR project): "Preference learning under severe uncertainty" - Now lecturer at Eindhoven University 
 +  * Yann Soullard (co-supervised with I. Thouvenin, 2014-2016, KIVA project): "Pattern recognition and sensory feedback in virtual environment for gesture training" - now lecturer at Rennes University 
 +  * Nadia Ben Abdallah (co-supervised with M. Sallak, 2014-2015, ANR project RECIF): "Expert elicitation in reliability studies" - now research engineer at CEA 
 +  * Olivier Cailloux (co-supervised with B. Quost, 2014-2015, LABEX grant): "Aggregation of partial preferences" - now lecturer at Paris Dauphine 
 +  * Ignacio Montes (2014-2015, LABEX grant): "Design of multi-objective systems under uncertainty" - now lecturer at University of Oviedo
  
 ====== PhD students ====== ====== PhD students ======
Line 34: Line 42:
 == In progress == == In progress ==
  
-  * Soundouss Messoudi: "Data science for real estate management" +  * Bruce Cyusa Mukama: "Robust event detection" (co-supervised with Sylvain Rousseau) 
-  * Krushna Shinde: "Inverse problems with belief functions" +  * Priscillia Labourg: "imprecision and uncertainty in geospatial problems" (co-supervised with Romain Guillaume, Jeremy Rohmer and Benjamin Quost) 
-  * Yonatan Carlos Carranza Alarcon: "Learning graphs under severe uncertainties"+  * Lina Achour: "Monitoring and control of Hydrogen Fuel Reservoir Fabrication" (co-supervised with Zoheir Aboura and Kamel Khellil) 
 +  * Vitor Bordini: "Collaborative learning with uncertain data" (co-uspervised with Benjamin Quost) 
 +  * Roman Malinowsky: "Uncertainty propagation in 3D satellite image reconstruction" (co-supervised with Emmanuelle Sarrzin, Emmanuel Dubois and Loic Dumas) 
 +  * Henoik Willot: "Ethics and sincerity in aid-decision systems" (co-supervised with Khaled Belahcene) 
 + 
 +  
 +  
  
 == Defended == == Defended ==
-  * Linh Nguyen (co-supervised with M. Masson): "Learning optimal information queries under severe uncertainty" - now postdoctoral researcher at Paderborn University+  * Loic Adam: "Preference elicitation under severe uncertainty" - now assistant lecturer at Université de Technologie de Compiègne 
 +  * Soundouss Messoudi: "Data science for real estate management" (co-supervised with Sylvain Rousseau) - now contractural lecturer at Université de Technologie de Compiègne 
 +  * Krushna Shinde: "Interval uncetainty method to treat inconsistent measurements in inverse problems" - now development Engineer at TRANSVALOR (co-supervised with Pierre Feissel) 
 +  * Yonatan Carlos Carranza Alarcon: "Learning graphs under severe uncertainties" - now ML Op at Warner Bros 
 +  * Linh Nguyen (co-supervised with M. Masson): "Learning optimal information queries under severe uncertainty" - now junior professor chair of AI at Université de Technologie de Compiègne
   * Lanting Yu (co-supervised with M. Sallak and W. Schön): "Reliability optimization of systems with uncertain failure data"   * Lanting Yu (co-supervised with M. Sallak and W. Schön): "Reliability optimization of systems with uncertain failure data"
   * Gen Yang (co-supervised with M. Masson): "Machine learning problems with severe uncertainty and structured data" - now data scientist at Kpler company   * Gen Yang (co-supervised with M. Masson): "Machine learning problems with severe uncertainty and structured data" - now data scientist at Kpler company
Line 59: Line 78:
 == In progress == == In progress ==
  
-  * Juliette Ortholand (co-supervised with K. belhacene): "Learning fair classifiers" +  * Wenlong Chen (co-supervised with Benjamin Quost and Cyprien Gilet): "Classifiers robust to covariate shift" 
-  * Loic Adam (co-supervised with A. Van Camp and B. Quost): "Learning to rank under severe uncertainties" +  * Salvador Madrigal Castillo (co-supervised with Vu-Linh Nguyen and Cyprien Gilet): "Minimax classifiers for multi-label problems"
-  * Henoik Willot (co-supervised with S. Lagrue): "Uncertainty in CP-nets"+
      
 == Defended == == Defended ==
  
-  * Pierre-Louis Guillot (co-supervised with M. Masson, B. Quost and D. Savourey): "Optimal preference elicitation under severe uncertainty" +  * Louis de Ferluc (co-supervised with B. Quost): "Robust collaborative learning" 
-  * Sarah Fakih (co-supervised with M. Masson and V. Berger-Cherafoui): "Cautious self-driving based on occupational grid" +  * Juliette Ortholand (co-supervised with K. belhacene): "Learning fair classifiers" 
-  * Joseph Rocca (co-supervised with B. Quost and D. Savourey): "Optimal uncertainty reduction by sequential strategies."   +  * Loic Adam (co-supervised with A. Van Camp and B. Quost): "Learning to rank under severe uncertainties" 
-  * Safouen Mediouni (co-supervised with N. Ben Abdallah and M. Masson): "Information fusion: what works, what does not work?" +  * Henoik Willot (co-supervised with S. Lagrue): "Uncertainty in CP-nets" 
-  * Lanting Yu (co-supervised with M. Sallak and M. Poss): “Optimization methods for k-out-of-n consecutive systems” +  * Pierre-Louis Guillot (co-supervised with M. Masson, B. Quost and D. Savourey, 2019): "Optimal preference elicitation under severe uncertainty" 
-  * Rania Kallel (co-supervised with B. Ben Yaghlane): "Partial predictions in multi-label setting with evidential methods: first study" +  * Sarah Fakih (co-supervised with M. Masson and V. Berger-Cherafoui, 2018): "Cautious self-driving based on occupational grid" 
-  * Roula Nassif (co-supervised with M. Masson): "Calibrated ranking with belief functions" +  * Joseph Rocca (co-supervised with B. Quost and D. Savourey, 2016): "Optimal uncertainty reduction by sequential strategies."   
-  * Mathieu Hourbracq (co-supervised with C. Baudrit and P.H. Wuillemin): "Learning and Computing with Dynamic Credal Networks: Application to Cheese ripening" +  * Safouen Mediouni (co-supervised with N. Ben Abdallah and M. Masson, 2015): "Information fusion: what works, what does not work?" 
-  * Zohra Kemache (co-supervised with T. Denoeux and E. Humbert): "Risk analysis in tunnel construction" +  * Lanting Yu (co-supervised with M. Sallak and M. Poss, 2014): “Optimization methods for k-out-of-n consecutive systems” 
-  * Yosra Mazigh (co-supervised with B. Ben Yaghlane): "Learning graphical models to predict semolina value" +  * Rania Kallel (co-supervised with B. Ben Yaghlane, 2013): "Partial predictions in multi-label setting with evidential methods: first study" 
-  * Iyan Johnson (co-supervised with R. Thomopoulos and B. Charnomordic): "Integrating expert knowledge to a learning algorithm" +  * Roula Nassif (co-supervised with M. Masson, 2013): "Calibrated ranking with belief functions" 
-  * Nicolas Maillet (co-supervised with P. Buche and B. Charnomordic): "Data reliability assessment in a data warehouse opened on the Web"+  * Mathieu Hourbracq (co-supervised with C. Baudrit and P.H. Wuillemin, 2013): "Learning and Computing with Dynamic Credal Networks: Application to Cheese ripening" 
 +  * Zohra Kemache (co-supervised with T. Denoeux and E. Humbert, 2011): "Risk analysis in tunnel construction" 
 +  * Yosra Mazigh (co-supervised with B. Ben Yaghlane, 2010): "Learning graphical models to predict semolina value" 
 +  * Iyan Johnson (co-supervised with R. Thomopoulos and B. Charnomordic, 2009): "Integrating expert knowledge to a learning algorithm" 
 +  * Nicolas Maillet (co-supervised with P. Buche and B. Charnomordic, 2009): "Data reliability assessment in a data warehouse opened on the Web"
  

Page Tools

User Tools

students.1581454023.txt.gz · Last modified: 2020/02/11 21:47 by sdesterc
Mentions légales