Rate My Professor Esa Ollila

His research focuses on the intersection of statistical signal processing, high-dimensional statistics, and machine learning, including robust multivariate statistics, array and radar signal processing, compressed sensing, sparse approximation, big data, multivariate statistics, and blind source separation. He has authored or co-authored over 120 papers in leading journals and conferences. Key publications include the book Robust Statistics for Signal Processing (Cambridge University Press, 2018), and papers such as “Complex elliptically symmetric distributions: survey, new results and applications” (IEEE Transactions on Signal Processing, 2012), “Regularized M-estimators of scatter matrix” (IEEE Transactions on Signal Processing, 2014), and “Shrinking the eigenvalues of M-estimators of covariance matrix” (IEEE Transactions on Signal Processing, 2021). Ollila’s influence is evident in his election to the Board of Directors of the European Association for Signal Processing (EURASIP), membership in the IEEE SPS Signal Processing Theory and Methods Technical Committee (2022-2027, chairing the awards subcommittee), and service as associate editor for the Scandinavian Journal of Statistics (2020-2024). He was General Co-Chair for EUSIPCO-2023 and delivered the Aalto University Tenured Professors’ Installation Lecture “Learning from signals” in 2020.