Tommy Sonne Alstrøm

https://orcid.org/0000-0003-0941-3146

Phone45253431
Emailtsal@dtu.dk
Websitehttp://www.compute.dtu.dk

Richard Petersens Plads, 321, 007
2800 Kgs. Lyngby
Denmark

Research activity per year

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Personal profile

Other information

Language Skills:
English (fluent)
Danish (native)
German (basic)

Research areas

Machine learning Signal processing Multithreaded programming

Education/Academic qualification

Civilingeniør i anvendt matematik, DTU

2002 → 2005

Master of Science in Engineering and Applied Mathematics, Technical University of Denmark

2002 → 2005

Diplomingeniør på Elektro, DTU

1999 → 2002

BSc.E.E, Technical University of Denmark

1999 → 2002

External positions

Software Engineer, Spectronic Denmark A/S

2007 → 2008

Software Engineer, Brüel and Kjaer Sound and Vibration

2003 → 2006

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17 Article in proceedings
13 Journal article
5 Poster
4 Conference article
More

On uncertainty estimation in active learning for image segmentation
Li, B. & Alstrøm, T. S., 2020, Proceedings of 2020 International Conference on Machine Learning: Workshop on Uncertainty and Robustness in Deep Learning. 9 p. 062
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
38 Downloads (Pure)
Quantitative SERS Assay on a Single Chip Enabled by Electrochemically Assisted Regeneration: A Method for Detection of Melamine in Milk
Viehrig, M., Rajendran, S. T., Sanger, K., Schmidt, M. S., Alstrøm, T. S., Rindzevicius, T., Zor, K. & Boisen, A., 2020, In: Analytical chemistry. 92, 6, p. 4317-4325
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
22 Downloads (Pure)
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators
Vording, M. F., Okeyo, P. O., Rubio Guillamón, J. J., Schmidt, M. N., Larsen, P. E. & Alstrøm, T. S., 2019, Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
96 Downloads (Pure)
Insights into the behaviour of multi-task deep neural networks for medical image segmentation.
Bienias, L. T., Rubio Guillamón, J. J., Nielsen, L. H. & Alstrøm, T. S., 2019, Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing.. IEEE, 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access
File
125 Downloads (Pure)
Peak Detection and Baseline Correction Using a Convolutional Neural Network
Schmidt, M. N., Alstrom, T. S., Svendstorp, M. & Larsen, J., 1 May 2019, Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 . IEEE, p. 2757-2761 8682311
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

4 Finished
4 Active

Federated Machine Learning for Spectroscopy
Li, B., Alstrøm, T. S., Hansen, L. K. & Schmidt, M. N.
01/02/2021 → 31/01/2024
Project: PhD
Binaural Speech Segregation in Noisy and Reverberant Environments
Gonzalez, P., May, T. & Alstrøm, T. S.
01/12/2020 → 30/11/2023
Project: PhD
Towards real time Raman molecular imaging of living organisms
Hansen, D. F., Schmidt, M. N. & Alstrøm, T. S.
01/03/2020 → 28/02/2023
Project: PhD
Live Road Assessment based on modern car sensors
Skar, A., Levenberg, E., Kindler, E., M. Pour, S., Bajic, M. & Alstrøm, T. S.
01/02/2019 → 01/08/2022
Project: Research
Deep Metric Learning
Detlefsen, N. S., Hauberg, S., Winther, O., Alstrøm, T. S., Ferkinghoff-Borg, J. & Rainforth, T.
Fonde
01/09/2017 → 14/04/2021
Project: PhD

1 Conference presentations

Integration of Nanopillar SERS Substrates in a Microfluidic Platform for Analyte Separation and Quantitative Sensing
Onur Durucan (Guest lecturer), Lidia Morelli (Guest lecturer), Kaiyu Wu (Guest lecturer), Marlitt Viehrig (Guest lecturer), Oleksii Ilchenko (Guest lecturer), Kinga Zor (Guest lecturer), Marco Matteucci (Guest lecturer), Tommy Sonne Alstrøm (Guest lecturer), Tomas Rindzevicius (Guest lecturer), Michael Stenbæk Schmidt (Guest lecturer) & Anja Boisen (Guest lecturer)
11 Jun 2017 → 17 Jun 2017
Activity: Talks and presentations › Conference presentations