Esa Ollila

Associate Professor
Associate Professor
T412 Department of Information and Communications Engineering

Esa Ollila received the M.Sc. degree in mathematics from the University of Oulu, in 1998, the Ph.D. degree in statistics with honors from the University of Jyväskylä, in 2002, and the D.Sc.(Tech) degree with honors in signal processing from Aalto University, in 2010. From 2004 to 2007 he was a postdoctoral fellow of the Academy of Finland and from August 2010 to May 2015 an academy research fellow of the Academy of Finland. He has also been a Senior Researcher and a Senior Lecturer at Aalto University and University of Oulu, respectively. Since June 2015 he was appointed as an associate professor at the Department of Signal Processing and Acoustics, Aalto University, Finland. He is also an adjunct Professor (statistics) of University of Oulu. For the Fall-term 2001, he was a Visiting Researcher with the Department of Statistics, Pennsylvania State University, State College, PA, while during the academic year 2010–2011 he was a Visiting Post-doctoral Research Associate with the Department of Electrical Engineering, Princeton University, Princeton, NJ. His research interests focus on theory and methods of statistical signal processing, statistical learning for high-dimensional data, array and radar signal processing and robust statistical methods in general. He has authored or coauthored more than seventy papers in the top journals and conference in signal processing and statistics. He is also a member of EURASIP SAT in Theoretical and Methodological Trends in Signal Processing (TMTSP).

Full researcher profile
https://research.aalto.fi/...

Contact information

Phone number
+358504696607

Areas of expertise

Statistical signal processing, Multivariate Statistics, Compressed sensing, Sparse approximation, Big data, Array processing, Robust statistical methods, Blind source separation

Research groups

  • Esa Ollila Group

Publications

New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images

Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Esa Ollila, Nickolas Stelzenmuller 2023 IEEE Transactions on Geoscience and Remote Sensing

Correlation-based Graph Smoothness Measures In Graph Signal Processing

Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila, Xinjue Wang 2023 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings

Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions

Esa Ollila, Daniel P. Palomar, Frederic Pascal 2023 IEEE Signal Processing Letters

On Robust Estimators of a Sphericity Measure in High Dimension

Esa Ollila, Hyon-Jung Kim 2023 Robust and Multivariate Statistical Methods

Sparsity-Aware Block Diagonal Representation for Subspace Clustering

Aylin Taştan, Michael Muma, Esa Ollila, Abdelhak M. Zoubir 2023 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings

Nonnegative Structured Kruskal Tensor Regression

Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov 2023 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023

DOA M-Estimation Using Sparse Bayesian Learning

Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila 2022 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings

Regularized Tapered Sample Covariance Matrix

Esa Ollila, Arnaud Breloy 2022 IEEE Transactions on Signal Processing

Robust tensor regression with applications in imaging

Esa Ollila, Hyon Jung Kim 2022 2022 30th European Signal Processing Conference (EUSIPCO)

Bias Adjusted Sign Covariance Matrix

Elias Raninen, Esa Ollila 2022 IEEE Signal Processing Letters