Defense: PhD of Alexandre Duval
Topic: Automatic learning on graphs: from explainability to climate action
Institution: University Paris Saclay
PhD advisors: Fragkiskos Malliaros & Hugues Talbot
Defense: PhD of Ana Neacsu
Topic: Robust deep learning methods inspired from signal processing algorithms
Institutions: University Paris Saclay and Politehnica University of Bucharest
PhD advisors: Corneliu Burilineanu & Jean-Christophe Pesquet
Defense: PhD of Younes Belkouchi
Topic: Image biomarkers for the efficiency of immunotherapy
Institution: University Paris Saclay
PhD advisors: Nathalie Lassau & Hugues Talbot
Defense: PhD of Ségolène Martin
Topic: Variational methods for large scale data problems in imaging
Institution: University Paris Saclay
PhD advisors: Ismail Ben Ayed & Jean-Christophe Pesquet
Defense: PhD of Jean-Baptiste Fest
Topic: Stochastic Majorization-Minimization algorithms
Institution: University Paris Saclay
PhD advisor: Emilie Chouzenoux
Defense: PhD of Sagar Verma
Topic: Towards a new generation of lifting-based image coders using neural networks
Institution: University Paris Saclay
PhD advisors: Jean-Christophe Pesquet & Marc Castella (Telecom SudParis) & Nicolas Henwood (Schneider Electric)
Open position: Assistant Professor at the Department of Mathematics of CentraleSupélec, Paris-Saclay Campus / CVN Laboratory, Inria OPIS team
Domain: Artificial Intelligence
Candidate profile: PhD in applied mathematics or signal / image processing
Contact: jean-christophe.pesquet at centralesupelec.fr
Defense: PhD of Tasnim Dardouri
Topic: Towards a new generation of lifting-based image coders using neural networks
Institution: University Sorbonne Paris Nord
PhD advisors: Mounir Kaaniche & Gabriel Dauphin (University Sorbonne Paris Nord)
Defense: PhD of Surabhi Jagtap
Topic: Multilayer graph embeddings for omics data integration in bioinformatics
Institution: University Paris-Saclay
PhD advisors: Fragkiskos Malliaros & Laurent Duval (IFP Energies Nouvelles)
Defense: PhD of Kavya Gupta
Topic: Stability quantification of neural networks
Institution: University Paris-Saclay
PhD advisors: Jean-Christophe Pesquet & Fateh Kaakai (Thales)
Defense: PhD of Mario Viti
Topic: Automatic prediction of major adverse cardiovascular episodes
Institution: University Paris-Saclay
PhD advisor: Hugues Talbot
Defense: PhD of Marion Savanier
Topic: Fixed point methods for cone-beam CT reconstruction on interventional C-arm
Institution: University Paris-Saclay
PhD advisor: Emilie Chouzenoux
Defense: PhD of Yunshi Huang
Topic: Bayesian inference for image deblurring at a large scale
Institution: University Paris-Saclay
PhD advisors: Emilie Chouzenoux & Victor Elvira (University of Edinburgh)
Open positions: Assistant Professors at the Department of Mathematics or Computer Science of CentraleSupélec, Paris-Saclay Campus
Domain: Artificial Intelligence
Candidate profile: PhD in applied mathematics, computer science, or signal / image processing
Contact: jean-christophe.pesquet at centralesupelec.fr
Defense: PhD of Marvin Lerousseau
Topic: New approaches in AI-driven computational pathology for computer-aided diagnosis and prediction of therapeutic response
Institution: University Paris-Saclay
PhD advisors: Maria Vakalopoulou & Nikos Paragios (TheraPanacea)
Open position: Assistant Professor at the Department of Mathematics of CentraleSupélec, Paris-Saclay Campus / CVN Laboratory, Inria OPIS team
Domain: Artificial Intelligence
Candidate profile: PhD in applied mathematics, computer science, or signal / image processing
Contact: jean-christophe.pesquet at centralesupelec.fr
Defense: PhD of Samy Ammari
Topic: Computational medical imaging in oncology
Institution: University Paris-Saclay
PhD advisors: Corinne Balleyguier (BIOMAPS) & Emilie Chouzenoux
Event: Summer School on Optimization in Machine Learning and Inverse Problems
Context: TradOpt ITN
Location: CentraleSupélec (online)
Dates: 5/7/2021-9/7/2021
Contact: Emilie Chouzenoux & Jean-Christophe Pesquet
Event: Summer School on Artificial Intelligence
Location: CentraleSupélec (online)
Dates: 28/6/2021-2/7/2021
Contact: Fragkiskos Malliaros
Defense: PhD of Abdulkadir Celikkanat
Topic: Graph representation learning with random walk diffusions
Institution: University Paris-Saclay
PhD advisors: Fragkiskos Malliaros & Nikos Paragios (TheraPanacea)
Social news: Antonin Dutrey is born: 3.5 kg and 52 cm!
Contact: jana.dutrey at centralesupelec.fr
Communication: Publication of a comic strip on the Challenges of AI. Part of the story depicts OPIS.
Contact: Jérémie Dres
Defense: PhD of Maissa Sghaier
Topic: Clinical-task based reconstruction in Digital Breast Tomosynthesis
Institution: University Paris-Saclay
PhD advisors: Emilie Chouzenoux, Serge Muller (GE Healthcare) & Jean-Christophe Pesquet
Defense: PhD of Arthur Marmin
Topic: Rational models optimized exactly for solving signal processing problems
Institution: University Paris-Saclay
PhD advisors: Marc Castella, Laurent Duval (IFPEN) & Jean-Christophe Pesquet
Communication: Link between pseudo-inverse and the 2020 Nobel prize in Physics
Contact: jean-christophe.pesquet at centralesupelec & hugues.talbot at centralesupelec
Awards: Pole position on two AI challenges: Calcium scoring on CT and Lymph node segmentation on head & neck CT.
Event: Journées Françaises de Radiologie 2020
Context: Joint teams with GE Healthcare, Buc
Contact: hugues.talbot at centralesupelec.fr
Awards: Best paper honorable mention award
Conference: AAAI International Conference on Web and Social Media (ICWSM-2020)
Paper: Influence maximization using influence and susceptibility embeddings
Contact: fragkiskos.me at gmail.com
Open position: Assistant Professor in Tenure Track at the Department of Mathematics of CentraleSupélec, Paris-Saclay Campus / CVN Laboratory, Inria OPIS team
Domain: Optimization Methods for Artificial Intelligence
Candidate profile: PhD in applied mathematics or signal / image processing
Contact: jean-christophe.pesquet at centralesupelec.fr
Open positions: Two PhD students at the CVN Laboratory, Inria OPIS team within the TraDE-OPT ITN network
Domain: Optimization Methods for Data Science
Candidate profile: MSc in applied mathematics or machine learning, less than 12 months spent in France in the last 3 years
Contact: jean-christophe.pesquet at centralesupelec.fr