Author: Michael Chan
Michael at EUSIPCO 2026 in Bruges
General news
Michael Chan presented his research at this year’s EUSIPCO in Bruges! In this EURASIP event, he introduces a new non-parametric testing framework, leveraging graph information for anomaly detection. Collaborators from MIPlab include Alexandre and Dimitri.
Michael Chan attends IEEE ICASSP with SPS Travel Grant
Awards, General news
Congrats to Michael, who has received the Travel Grant from the IEEE Signal Processing Society (SPS) to present his research at this year’s ICASSP in Barcelona! In his work, Michael introduces the Hilbert transform on graphs and emphasizes the importance of the graph signal’s phase. Collaborators from MIPlab include Alexandre and Dimitri.