Publications

PhD Thesis

Analytical Approximations for Bayesian Inference [DOI]

Journal papers

[J6] Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson, Skew-t filter and smoother with improved covariance matrix approximation. Accepted for publication in IEEE Transactions on Signal Processing 2018. [arxiv]

[J5] Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre Bazanella and Fredrik Gustafsson. State Estimation for a Class of Piecewise Affine State-Space Models. Signal Processing Letters, IEEE, vol. 24, no. 1, pp. 61-65, Jan. 2017. [IEEE]

[J4] Tohid Ardeshiri, Emre Özkan, Umut Orguner, Fredrik Gustafsson, Approximate Bayesian Smoothing with Unknown Process and Measurement Noise Covariances. Signal Processing Letters, IEEE, vol. 22, no. 12, pp. 2450-2454, Dec. 2015. [IEEE]

[J3] Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson, Robust Inference for State-Space Models with Skewed Measurement Noise. Signal Processing Letters, IEEE, vol. 22, no. 11, pp. 1898-1902, Nov. 2015. [IEEE]

[J2] Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto, Maximum Entropy Properties of Discrete-time First-order Stable Spline Kernel. Automatica Volume 66, 2016, Pages 34-38. [Automatica]

[J1] Tohid Ardeshiri, Karl Granström, Emre Özkan, Umut Orguner, Greedy Reduction Algorithms for Mixtures of Exponential Family. Signal Processing Letters, IEEE, vol.22, no.6, pp.676,680, June 2015. [IEEE]

Working Papers

[WP4] Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, and Simon Godsill Nonasymptotic Gaussian Approximation for Inference with Stable Noise. Submitted to IEEE Transactions on Information Theory, ArXiv e-prints [ArXiv]

[WP3] Michael Roth, Tohid Ardeshiri, Emre Özkan, Fredrik Gustafsson, Robust Bayesian Filtering and Smoothing Using Student's t Distribution. ArXiv e-prints [ArXiv]

[WP2] Tohid Ardeshiri, Umut Orguner, Fredrik Gustafsson, Bayesian inference via approximation of log-likelihood for priors in exponential family. ArXiv e-prints [ArXiv]

[WP1] Tohid Ardeshiri, Umut Orguner, Emre Özkan, Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence. ArXiv e-prints [ArXiv]

Conference papers

[C14] Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, and Simon Godsill, Sharp Gaussian Approximation Bounds for Linear Systems with α-stable Noise. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, to appear in 2018 IEEE International Symposium on Information Theory Proceedings. [pdf]

[C13] Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, and Simon Godsill, Simulated convergence rates with application to an intractable α-stable inference problem. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CURAAO, DUTCH ANTILLES, December 2017. [pdf] [IEEE]

[C12] Marina Riabiz, Tohid Ardeshiri, and Simon Godsill, Convergence results for tractable inference in α-stable stochastic processes. In Proceedings of the 22nd International Conference on Digital Signal Processing, London, United Kingdom, August 2017. 3rd best paper award. [pdf] [IEEE]

[C11] Marina Riabiz, Tohid Ardeshiri, and Simon Godsill. A central limit theorem with application to inference in α-stable regression models. Proceedings of the Time Series Workshop at NIPS 2016, volume 55 of Proceedings of Machine Learning Research, pages 70–82, Barcelona, Spain, 09 Dec 2016. PMLR. [pdf] [NIPS workshop]

[C10] Bashar I. Ahmad, Tohid Ardeshiri, Patrik Langdon, Simoon J. Godsill, and Thomas Popham, Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study. In 2017 20th International Conference on Information Fusion (Fusion), pages 1–7, July 2017. [pdf] [IEEE]

[C9] Tohid Ardeshiri, Bashar I. Ahmad, Patrik M. Langdon, and Simon J. Godsill, Efficient bridging-based destination inference in object tracking. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 4406–4410, March 2017. [pdf] [IEEE]

[C8] Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson, A NLOS-robust TOA Positioning Filter Based on a Skew-t Measurement Noise Model. 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Banff, Alberta, Canada. [pdf] [IEEE]

[C7] Tohid Ardeshiri, Tianshi Chen, Maximum Entropy Property of Discrete-time Stable Spline Kernel . Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, April 2015. [pdf][poster]

[C6] Tohid Ardeshiri,Emre Özkan, An Adaptive PHD Filter for Tracking with Unknown Sensor Characteristics . Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013. [pdf]

[C5] Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön, On Mixture Reduction for Multiple Target Tracking. Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012. [pdf]

[C4] Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön and Michael Felsberg, Bicycle Tracking Using Ellipse Extraction. Proceedings of the 14th International Conference on Information Fusion, Chicago, IL, USA, July, 2011. [pdf] Honorable mention, nominated for the best student paper award.

[C3] Tohid Ardeshiri, Mikael Nörrlöf, Johan Löfberg and Anders Hansson, Convex Optimization approach for Time-Optimal Path Tracking of Robots with Speed Dependent Constraints, Proceedings of the 18th IFAC World Congress, Milan, Italy, August 28 - September 2, 2011. [pdf]

[C2] Tohid Ardeshiri, Sogol Kharrazi, Robert Thomson and Jonas Bärgman, Offset Eliminative Map Matching Algorithm for Intersection Active Safety, Proceedings of IEEE Intelligent Vehicles Symposium, Tokyo, Japan, , 2006, pp. 82 - 88. [pdf]

[C1] Tohid Ardeshiri, Sogol Kharrazi, Jonas Sjöberg, Jonas Bärgman and Mathias Lidberg Sensor Fusion for Vehicle Positioning in Intersection Active Safety Applications.8th International Symposium on Advanced Vehicle Control,, ISBN/ISSN: 986-00-5947-0, 2006. [pdf]

Technical Reports

[R3] Tohid Ardeshiri, Emre Özkan, Umut Orguner, Fredrik Gustafsson Variational Iterations for Smoothing with Unknown Process and Measurement Noise Covariances . Linköping, Linköping University Electronic Press; 2015. LiTH-ISY-R, 3086. [link]

[R2] Tohid Ardeshiri, Henri Nurminen, Robert Piché, Fredrik Gustafsson Variational Iterations for Filtering and Smoothing with skew-t measurement noise . Linköping, Linköping University Electronic Press; 2015. LiTH-ISY-R, 3083. [pdf]

[R1] Tohid Ardeshiri, Emre Özkan, Umut Orguner On Reduction of Mixtures of the Exponential Family Distributions . Linköping, Linköping University Electronic Press; 2013. LiTH-ISY-R, 3076. [pdf]

Master's Thesis

[T1] Tohid Ardeshiri and Sogol Kharrazi, Data Fusion for Vehicle Positioning in Intersection Active Safety Applications, Chalmers University of Technology 2005. [pdf] Awarded the ITS-Stipendium (best thesis award in Intelligent Transportation System in Sweden) by Triona, Transek and Teknikdalen.

Patent

[P3] Tohid Ardeshiri, Bashar I Ahmed, Simon J. Godsill, Patrick Langdon, 2017, Determining a state of a tracked object, Application no: GB1710791.3

[P2] Tohid Ardeshiri, Bashar I Ahmed, Simon J. Godsill, Patrick Langdon, 2017, Determining a state of a tracked object, Application no: GB1710792.1.

[P1] Tohid Ardeshiri, (Gibraltargatan 40, Göteborg, S-41258, SE) 2009 A safety system that controls the retardation force relating to the stiff ness of the chest. AUTOLIV DEVELOPMENT AB (Patent Department, Wallentinsvägen 22, Vårgårda, S-44783, SE); Ardeshiri, Tohid (Gibraltargatan 40, Göteborg, S-41258, SE) WO/2009/070071.