Ke Feng

CNRS Researcher (Chargée de Recherche) - ETIS
Email: ke.feng at ensea.fr
My topics of interest include networks, probabilities, stochastic geometry, information theory, and wireless communications
Google scholar

Openings

Postdoc position "Spatial network calculus for QoS guarantees in dense IoT networks", 2026, apply here
PhD position "Inference problems in large networks", 2026, apply by email.
M1/M2 internship, apply by email.

Selected Research

• Epidemics on random bipartite geometric (RBG) graph
  “Spatial Disease Propagation With Hubs”, with Martin Haenggi, IEEE Trans. Netw. Sci. Eng., 2025. arXiv.

• Dynamic networks
  “Poisson hail on a wireless ground”, with François Baccelli and Sergey Foss, IEEE Trans. Inf. Theory, Accepted 2026. arXiv. code.

• Spatial network calculus and performance guarantees
  “Performance Guarantees of Cellular Networks with Hardcore Regulation and Scheduling”, with François Baccelli and Catherine Rosenburg, Globecom 2025, Taipei. arXiv.
  “Spatial Network Calculus: Toward Deterministic Wireless Networking”, with Yi Zhong and Xiaohang Zhou, IEEE Trans. Wirel. Commun., Accepted, 2025. arXiv.
  “Spatial network calculus and performance guarantees in wireless networks”, with François Baccelli, IEEE Trans. Wirel. Commun., 2024 arXiv.

• Meta distributions
  “Joint spatial-propagation modeling of cellular networks based on the directional radii of Poisson Voronoi cells”, with Martin Haenggi, IEEE Trans. Wirel. Commun., 2021.
  “Separability, asymptotics, and applications of the SIR meta distribution in cellular networks”, with Martin Haenggi, IEEE Trans. Wirel. Commun., 2020.

• Coordinated multipoint
  “A Tunable Base Station Cooperation Scheme for Poisson Cellular Networks”, with Martin Haenggi, 2018 52nd Annual Conference on Information Sciences and Systems (CISS), Princeton, New Jersey arXiv.

Teaching/Supervison

Information Theory, ENSEA, S8, Spring 2026.  
M1 Internship, "Performance Evaluation of Spacetime Wireless Systems", ORNELLA SANGANG DCHYMKOU, co-advised with Qiong Liu, 2025.  
M1 Internship, "Stochastic Geometry-Guided AI for Network Optimization", Yuxuan Peng, co-advised with Qiong Liu, 2025.  

Some links

ETIS-ICI Seminars                                                                    
Mathnet Seminars                                                                    
LINCS                                                                   
Random Thoughts on Stochastic Geometry

Bio

CNRS Researcher, ETIS, France, 2024-
Postdoctoral fellow, Inria-ENS Paris, France, 2021-2024
Ph.D. and M.Sc., University of Notre Dame, USA, 2016-2021
B.Sc., USTC, China, 2012-2016

[Last updated: May 2026]