Summary
Ming Jiang is an associate professor and signal-processing researcher with nine years of experience bridging inverse problems, sparse recovery, and practical applications in radio astronomy and radar. He earned engineering and research masters in France through a China–France "3+3" program and completed a PhD at CEA Saclay on multichannel compressed sensing under Dr. Jean-Luc Starck. After a postdoc at EPFL's LTS5 group, he returned to Xidian University to combine teaching with research on optimization-driven reconstruction methods. His work is interdisciplinary—spanning signal processing, astrophysics, and numerical methods—and includes applied projects from dark matter map reconstruction to finite-element simulation for medical devices. Fluent in cross-cultural research environments, he brings both deep theoretical grounding and hands-on algorithm development for large-scale sensing systems.
9 years of coding experience
3 years of employment as a software developer
Engineer's degree (Ingénieur généraliste), Information Processing Systems, Engineer's degree (Ingénieur généraliste), Information Processing Systems at IMT Atlantique
Master's Degree, Information processing systems, telecomunication, electronics, Master's Degree, Information processing systems, telecomunication, electronics at Telecom Bretagne
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Xidian University
Doctor of Philosophy - PhD, Signal processing, Astrophysics, Doctor of Philosophy - PhD, Signal processing, Astrophysics at Université Paris-Saclay
English, French, Chinese