Mahdi Boloursaz Mashhadi

MahdiBoloursazMashhadi
Dr. Mahdi Boloursaz Mashhadi

Mahdi Boloursaz Mashhadi received a dual major B.S. degree (with honors) in electrical and industrial engineering in 2011 and the M.S. and Ph.D. degrees in electrical engineering in 2013 and 2018, all from Sharif University of Technology (SUT), Tehran, Iran. His research interests include different areas of signal processing and wireless communications, e.g. sparse/statistical signal processing and machine learning applications in wireless communications, biomedical signal processing and multimedia processing. He is now a member of the Intelligent Systems and Networks (ISN) research group at Imperial College. Before joining ISN, he was a research associate with the ECE department at the University of Central Florida (UCF), USA and Queens' University, ON, Canada. Dr. Boloursaz's awards include a best paper award at the EWDTS 2012 conference, and several national, regional and IEEE grants. He serves as a reviewer for IEEE transactions on signal processing, transactions on biomedical engineering and signal processing letters.

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Publications

  • M. Boloursaz Mashhadi, and Deniz Gündüz, "Pruning the Pilots: Deep Learning-Based Pilot Design and Channel Estimation for MIMO-OFDM Systems," Link: https://arxiv.org/abs/2006.11796
  • M. Boloursaz Mashhadi, Qianqian Yang, and Deniz Gündüz, "Distributed deep Convolutional Compression For Massive MIMO CSI Feedback," Link: https://128.84.21.199/abs/2003.04684
  • M. Boloursaz Mashhadi, and Deniz Gündüz, “Deep Learning for Massive MIMO Channel State Acquisition and Feedback,” Link: https://arxiv.org/abs/2002.06945
  • M. Boloursaz Mashhadi, Qianqian Yang, and Deniz Gündüz, “CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems,” IEEE International Conference on acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, May 2020.
  • Qianqian Yang, M. Boloursaz Mashhadi, and Deniz Gündüz, “Deep Convolutional Compression for Massive MIMO CSI Feedback,” IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP 2019), Pittsburgh, PA, USA, Oct. 2019.
  • M. Boloursaz Mashhadi, S. Gazor, N. Rahnavard, and F. Marvasti, “Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons,” IEEE Signal Processing Letters, vol. 25, no. 4, pp. 496-500, Feb. 2018.
  • M. Boloursaz Mashhadi, E. Asadi, M. Eskandari, S. Kiani, and F. Marvasti, “Heart Rate Tracking using Wrist-Type Photoplethysmographic (PPG) Signals during Physical Exercise with Simultaneous Accelerometry”, IEEE Signal Processing Letters, vol. 23, no. 2, pp, 227-231, Feb. 2016.
  • F. Marvasti, M. Boloursaz Mashhadi, “Wideband Analog to Digital Conversion by Random or Level Crossing Sampling,” US Patent 9729160, Aug. 2017.
  • S. Salehi, M. Boloursaz Mashhadi, A. Zaeemzadeh, N. Rahnavard and R. F. DeMara, "Energy-Aware Adaptive Rate and Resolution Sampling of Spectrally Sparse Signals Leveraging VCMA-MTJ Devices," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 8, no. 4, pp. 679-692, Dec. 2018.
  • R. Kazemi, M. Boloursaz Mashhadi, S. M. Etemadi, and F. Behnia, “Data over Voice Communication through Mobile Voice Channels in Cellular Networks: Capacity Bounds and Improved Detection Schemes,” IEEE Transaction on Vehicular Technology, vol. 65, no. 11, pp. 8964-8977, Nov. 2016.
  • M. Boloursaz Mashhadi, N. Salarieh, E. S. Farahani, and F. Marvasti, “Level Crossing Speech Sampling and its Sparsity Promoting Reconstruction using the Iterative Method with Adaptive Thresholding (IMAT),” IET Signal Processing, vol. 11, no. 6, pp. 721-726, Aug. 2017.
  • M. Boloursaz Mashhadi, M. Farhadi, M. Essalat, and F. Marvasti, “Low Complexity Heart Rate Measurement from Wearable Wrist-Type Photoplethysmographic Sensors Robust to Motion Artifacts,” IEEE International Conference on acoustics, Speech and Signal Processing (ICASSP 2018), pp. 921-924, Calgary, AB, 2018.
  • M. Boloursaz, M. Fallah, and F. Marvasti, “A New Algorithm for Sparsity Promoting Interpolation of Graph Signals ”, Sampling Theory and Applications (SAMPTA 2017).
  • M. Boloursaz, M. Essalat, M. Ahmadi, and F. Marvasti, “An Improved Algorithm for Heart Rate Tracking During Physical Exercise Using Simultaneous Wrist-Type Photoplethysmographic (PPG) and Acceleration Signals”, 1st International Iranian Conference on Biomedical Engineering (ICBME 2016).
  • M. Essalat, M. Boloursaz, and F. Marvasti, “Supervised Heart Rate Tracking using Wrist-Type Photoplethysmographic (PPG) Signals during Physical Exercise without Simultaneous Acceleration Signals”, IEEE Global Conference on Signal and Information Processing (GlobalSIP 2016).
  • Sahar Sadrizadeh, Shahrzad Kianidehkordi, M. Boloursaz, and F. Marvasti, “Iterative Method for Simultaneous Sparse Approximation,” Scientia Iranica, Accepted, Oct. 2018.
  • M. Boloursaz, Saber Malekmohammadi, and F. Marvasti, “Sparsity Promoting Reconstruction of Delta Modulated Voice Samples Using the Iterative Method with Adaptive Thresholding,” Submitted to Scientia Iranica, Nov. 2017.
  • M. Boloursaz, F. Behnia, “On Efficient Codebook Design for Digital Communication through Compressed Voice Channels,” IET Communications Journal, vol. 10, no. 18, pp. 2613-2620, Dec. 2016.
  • R. Kazemi, M. Boloursaz, M. Heidari, and F. Behnia, “Modem Based on Sphere Packing Techniques in High Dimensional Euclidean Subspace for Efficient Data Over Voice Communication Through Mobile Voice Channels,” IET Communications Journal, vol. 9, no. 4, pp. 508-516, 2015.
  • M. Boloursaz, R. Kazemi, and F. Behnia, “Performance Improvement of Spread Spectrum Additive Data Hiding over Codec-Distorted Voice Channels,” 22th European Signal Processing Conference (EUSIPCO 2014), September 2014.
  • M. Boloursaz, R. Kazemi, B. Barazandeh, and F. Behnia, “Bounds on Compressed Voice Channel Capacity,” Second Iran Workshop on Communication and Information Theory (IWCIT 2014), February 2014.
  • M. Rafieisakhaei, B. Barazandeh, M. Boloursaz, S. M. Asadzadeh, “Modeling Dynamics of Expectations on Global Oil Price,” 33rd International Conference of the System Dynamics Society, Cambridge, May 2015.
  • M. Boloursaz, A.H. Hadavi, R. Kazemi, and F. Behnia, “Secure Data Communication through GSM Adaptive Multi Rate Voice Channel,” 6th IEEE International Symposium on Telecommunications (IST2012), November 2012.
  • R. Kazemi, R. Mosayebi, S. M. Etemadi, M. Boloursaz, and F. Behnia, “A Lower Capacity Bound of Secure End to End Data Transmission via GSM Network,” 6th IEEE International Symposium on Telecommunications (IST2012), November 2012.
  • M. Boloursaz, R. Kazemi, D. Nashtaali and F. Behnia, “Secure Data over GSM based on Algebraic Codebooks,” 10th IEEE East-West Design & Test Symposium (EWDTS2012), pp. 409-412, September 2012.
  • M. Boloursaz, A.H. Hadavi, R. Kazemi, and F. Behnia, “A Data Modem for GSM Adaptive Multi Rate Voice Channel,” 10th IEEE East-West Design & Test Symposium (EWDTS2012), pp. 397-400, September 2012.
Conferences