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Philipp Müller

Academy Research Fellow

Research topics

Data analytics, model-based estimation (Bayesian filtering and smoothing), and machine learning for data from ion-mobility spectrometry, differential mobility spectrometry, inertial sensors, radio signals (WLAN, BLE, UWB).

Selected publications

(1) Peer-reviewed journal articles

P. Davidson, H. Trinh, S. Vekki, P. Müller, Surrogate modelling for oxygen uptake prediction using LSTM neural network, in Sensors, vol. 23, article 2249, February 2023

A. Rauhameri, K. Salminen, J. Rantala, T. Salpavaara, J. Verho, V. Surakka, J. Lekkala, A. Vehkaoja, P. Müller, A comparison of online methods for change point detection in ion-mobility spectrometry data, in Array, vol. 14, article 100151, April 2022

A. Ashfaq, N. Cronin, P. Müller, Recent advances in machine learning for maximal oxygen uptake (VO2 max) prediction: A review, in Informatics in Medicine Unlocked, vol. 22, article 100863, January 2022

D. Sharma, P. Davidson, P. Müller, R. Piché, Indirect estimation of vertical ground reaction force from a body-mounted INS/GPS using machine learning, in Sensors, vol. 21, article 1553, February 2021

P. Müller, K. Salminen, A. Kontunen, M. Karjalainen, P. Isokoski, J. Rantala, J. Leivo, J. Väliaho, P. Kallio, J. Lekkala, V. Surakka, Online scent classification by ion-mobility spectrometry sequences, in Frontiers in Applied Mathematics and Statistics, section Mathematics of Computation and Data Science, vol. 5, article 39, July 2019

P. Müller, K. Salminen, V. Nieminen, A. Kontunten, M. Karjalainen, P. Isokoski, J. Rantala, M. Savia, J. Väliaho, P. Kallio, J. Lekkala, V. Surakka, Scent classification by K nearest neighbors using ion-mobility spectrometry measurements, in Expert Systems with Applications, vol. 115, pp. 593 – 606, January 2019.

P. Müller, J.A. del Peral-Rosado, R. Piché, and G. Seco-Granados, Statistical trilateration with skew-t distributed errors in LTE networks, In IEEE Transactions on Wireless Communications, vol. 15, no. 10, pp. 7114 – 7127, October 2016.

P. Müller, M. Raitoharju, S. Ali-Löytty, L. Wirola, and R. Piché, A survey of parametric fingerprint-positioning methods, In Gyroscopy and Navigation, vol. 7, issue 2, pp. 107 – 127, April 2016.

P. Müller, H. Wymeersch, and R. Piché, UWB positioning with generalized Gaussian mixture filters, In IEEE Transactions on Mobile Computing, vol. 13, no. 10, pp. 2406 – 2414, October 2014.

(2) Peer-reviewed conference articles

A. Rauhameri, O. Anttalainen, J. Rantala, V. Surakka, A. Vehkaoja, P. Müller. Clustering of Alpha Curves in Differential Mobility Spectrometry Data. In 2022 International Symposium on Olfaction and Electronic Nose (ISOEN), May-June 2022

K. Salminen, J. Rantala, P. Müller. People stink!: Towards identification of people from breath samples. In 2022 International Symposium on Olfaction and Electronic Nose (ISOEN), May-June 2022

T. Partanen, P. Müller, J. Collin, and J. Björklund. Implementation and accuracy evaluation of fixed camera-based object positioning system employing CNN-detector. In European Workshop on Visual Information Processing (EUVIP 2021), June 2021, 6 p.

N. Nguyen, P. Müller, J. Collin. The calibration and statistical analysis of noise in triaxial magnetometers. In 16th Workshop in Positioning, Navigation and Communication (WPNC’19), October 2019

G. Minaev, P. Müller, A. Visa, R. Piché. Indoor localisation using aroma fingerprints: Comparing nearest neighbour classification accuracy using different distance measures. In 7th International Conference on Systems and Control (ICSC’18), October 2018

P. Müller, S. Ali-Löytty, J. Lekkala, R. Piché. Indoor Localisation using Aroma Fingerprints: A First Sniff, In 14thWorkshop in Positioning, Navigation and Communication (WPNC’17), October 2017.

P. Müller and R. Piché, Statistical trilateration with skew-t errors, In International Conference on Localization and GNSS (ICL-GNSS) 2015, June 2015.

P. Müller, S. Ali-Löytty, M. Dashti, H. Nurminen, and R. Piché, Gaussian mixture filter allowing negative weights and its application on positioning using signal strength measurements, In 9th Workshop in Positioning, Navigation and Communication (WPNC’12), March 2012.

(3) Other publications

P. Müller, Algorithms for positioning with nonlinear measurement models and heavy-tailed and asymmetric distributed additive noise, Doctoral Dissertation, August 2016.

For a full list of publications please visit the TUTCRIS portal (https://tutcris.tut.fi/portal/en/).