Algorithmic Trading Using Phase Synchronization. - Alireza Ahrabian; Clive Cheong Took; Danilo P. Mandic (IEEE J. Sel. Top. Signal Process., 2012)

Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals. - Alireza Ahrabian; Naveed ur Rehman; Danilo P. Mandic (IEEE Signal Process. Lett., 2013)

Estimation of phase synchrony using the synchrosqueezing transform. - Alireza Ahrabian; Danilo P. Mandic (ICASSP, 2014)

Nonuniformly sampled trivariate empirical mode decomposition. - Apit Hemakom; Alireza Ahrabian; David Looney; Naveed ur Rehman; Danilo P. Mandic (ICASSP, 2015)

Synchrosqueezing-based time-frequency analysis of multivariate data. - Alireza Ahrabian; David Looney; Ljubisa Stankovic; Danilo P. Mandic (Signal Process., 2015)

Selective Time-Frequency Reassignment Based on Synchrosqueezing. - Alireza Ahrabian; Danilo P. Mandic (IEEE Signal Process. Lett., 2015)

A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing. - Alireza Ahrabian; Danilo P. Mandic (IEEE Trans. Signal Process., 2015)

Data analysis as a web service: A case study using IoT sensor data. - Alireza Ahrabian; Sefki Kolozali; Shirin Enshaeifar; Clive Cheong Took; Payam M. Barnaghi (ICASSP, 2017)

Detecting changes in the variance of multi-sensory accelerometer data using MCMC. - Alireza Ahrabian; Tarek Elsaleh; Yasmin Fathy; Payam M. Barnaghi (IEEE SENSORS, 2017)

Pattern Identification for State Prediction in Dynamic Data Streams. - Shirin Enshaeifar; Seyed Amir Hoseinitabatabaei; Alireza Ahrabian; Payam M. Barnaghi (iThings/GreenCom/CPSCom/SmartData, 2017)

Volatility Based Change Detection in Data Streams. - Alireza Ahrabian; Nazli FarajiDavar; Clive Cheong Took; Payam M. Barnaghi (CoRR, 2017)

Segment Parameter Labelling in MCMC Mean-Shift Change Detection. - Alireza Ahrabian; Shirin Enshaeifar; Clive Cheong Took; Payam M. Barnaghi (ICASSP, 2018)

Efficient Multi-Sensor Extended Target Tracking using GM-PHD Filter. - Alireza Ahrabian; Mehryar Emambakhsh; Marcel Sheeny; Andrew M. Wallace (IV, 2019)

Image-Guided Depth Upsampling via Hessian and TV Priors. - Alireza Ahrabian; João F. C. Mota; Andrew M. Wallace (CoRR, 2019)

RADIATE: A Radar Dataset for Automotive Perception. - Marcel Sheeny; Emanuele De Pellegrin; Saptarshi Mukherjee; Alireza Ahrabian; Sen Wang 002; Andrew M. Wallace (CoRR, 2020)

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather. - Marcel Sheeny; Emanuele De Pellegrin; Saptarshi Mukherjee; Alireza Ahrabian; Sen Wang 002; Andrew M. Wallace (ICRA, 2021)

Scenario Gym: A Scenario-Centric Lightweight Simulator. - Hamish Scott; Lorenzo Niccolini; Chess Stetson; Nils Goldbeck; Ioannis Souflas; Noyan Songur; Alireza Ahrabian; Eduardo Candela; Panagiotis Angeloudis (ITSC, 2023)

Deep Learning-Based Covariance Estimation for Relative Pose Measurements. - Alireza Ahrabian; Quan Nguyen; Nikos Toulios; Anthony Ohazulike (ITSC, 2024)