Foad Sohrabi

Biography

Foad Sohrabi is a member of technical staff in the Radio Systems Research Lab, Bell Labs, Murray Hill, NJ, USA. His research interests span the broad areas in optimization theory, information theory, machine learning, artificial intelligence, the Internet of Things, and wireless communications. Prior to joining Bell Labs, Foad Sohrabi held the position of Senior Technical Staff at Ofinno, Reston, Virginia, conducting research on applications of machine learning and artificial intelligence in the next generations of wireless communications (5G/6G). Prior to his affiliation with Ofinno, he spent over three years as a Postdoctoral Fellow and Course Instructor at the University of Toronto, where he actively contributed to the academic and research community. Foad received his PhD degree in Electrical and Computer Engineering from the University of Toronto, Canada, in February 2018, under the supervision of Prof. Wei Yu. A part of his Ph.D. dissertation, also published in IEEE Journal of Selected Topics in Signal Processing, received the _IEEE Signal Processing Society Best Paper Award_ in 2017. During his PhD program, he also worked at Nokia Bell Labs, Stuttgart, Germany for six months as a research intern. Foad received his MASc degree in Electrical and Computer Engineering from McMaster University, Hamilton, Canada, in August 2013, under the supervision of Prof. Tim Davidson. His Master’s thesis received the _Certificate of Excellence for Outstanding Thesis_, from McMaster University in 2013. Foad earned his BASc degree in Electrical and Computer Engineering from the University of Tehran, Tehran, Iran, in August 2011.

Education

Ph.D. in Electrical Engineering (Sept. 2013 - Feb. 2018) (Thesis)
Department of Electrical and Computer Engineering, University of Toronto
M.A.Sc. in Electrical Engineering (Sept. 2011 - Aug. 2013)(Thesis)
Department of Electrical and Computer Engineering, McMaster University
B.A.Sc. in Electrical Engineering (Sept. 2007 - Aug. 2011)
Department of Electrical and Computer Engineering, University of Tehran

Selected Articles and Publications

Journal Publications:

T. Jiang, F. Sohrabi, and W. Yu, "Active Sensing for Two-Sided Beam Alignment and Reflection Design Using Ping-Pong Pilots," in IEEE Journal on Selected Areas in Information Theory, vol. 4, pp. 24-39, 2023. [IEEE][arXiv2305.07130]
K. M. Attiah, F. Sohrabi, and W. Yu, "Deep Learning for Channel Sensing and Hybrid Precoding in TDD Massive MIMO OFDM Systems," in IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10839-10853, Dec. 2022. [IEEE][arXiv2011.10709]
W. Yu, F. Sohrabi, and T. Jiang, "Role of Deep Learning in Wireless Communications," in IEEE BITS the Information Theory Magazine, vol. 2, no. 2, pp. 56-72, 1 Nov. 2022. [IEEE][arXiv2210.02596]
F. Sohrabi, T. Jiang, W. Cui, and W. Yu, "Active Sensing for Communications by Learning," in IEEE Journal on Selected Areas in Communications, vol. 40, no. 6, pp. 1780-1794, June 2022. [IEEE][arXiv2112.04075]
F. Sohrabi, T. Jiang, and W. Yu, "Learning Progressive Distributed Compression Strategies From Local Channel State Information," in IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 3, pp. 573-584, April 2022. [IEEE][arXiv2203.04747]
Z. Chen, F. Sohrabi, Y. -F. Liu, and W. Yu, "Phase Transition Analysis for Covariance-Based Massive Random Access With Massive MIMO," in IEEE Transactions on Information Theory, vol. 68, no. 3, pp. 1696-1715, March 2022. [IEEE][arXiv2003.04175]
J. Mirzaei, S. ShahbazPanahi, F. Sohrabi, and R. Adve, "Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems," in IEEE Transactions on Signal Processing, vol. 69, pp. 5784-5800, Oct. 2021. [IEEE][arXiv2107.07622]
F. Sohrabi, Z. Chen, and W. Yu, "Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2347-2360, Aug. 2021. [IEEE][arXiv2012.13607]
F. Sohrabi, K. M. Attiah, and W. Yu, "Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO," in IEEE Transactions on Wireless Communications, vol. 20, no. 7, pp. 4044-4057, July 2021. [IEEE][arXiv2007.06512]
Z. Chen, F. Sohrabi, and W. Yu, "Sparse Activity Detection in Multi-Cell Massive MIMO Exploiting Channel Large-Scale Fading," in IEEE Transactions on Signal Processing, vol. 69, pp. 3768-3781, June 2021. [IEEE][arXiv2103.00782]
Z. Chen, F. Sohrabi, and W. Yu, "Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO versus Cooperative MIMO," in IEEE Transactions on Wireless Communications, vol. 18, no. 8, pp. 4060-4074, Aug. 2019. [IEEE][arXiv1906.09494]
F. Bellili, F. Sohrabi, and W. Yu, "Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation With Laplacian Prior," in IEEE Transactions on Communications, vol. 67, no. 5, pp. 3205-3219, May 2019. [IEEE][arXiv1903.02077]
F. Sohrabi, Y. -F. Liu, and W. Yu, "One-Bit Precoding and Constellation Range Design for Massive MIMO With QAM Signaling," in IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 3, pp. 557-570, June 2018. [IEEE][arXiv1802.04206]
Z. Chen, F. Sohrabi, and W. Yu, "Sparse Activity Detection for Massive Connectivity," in IEEE Transactions on Signal Processing, vol. 66, no. 7, pp. 1890-1904, April 2018. [IEEE][arXiv1801.05873]
F. Sohrabi and W. Yu, "Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays," in IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, pp. 1432-1443, July 2017. [IEEE][arXiv1711.08408]
F. Sohrabi and T. N. Davidson, "Coordinate Update Algorithms for Robust Power Loading for the MU-MISO Downlink With Outage Constraints," in IEEE Transactions on Signal Processing, vol. 64, no. 11, pp. 2761-2773, June 2016. [IEEE][arXiv1602.08394]
F. Sohrabi and W. Yu, "Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays," in IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 501-513, April 2016. (IEEE Signal Processing Society Best Paper Award in 2017)[IEEE][arXiv1601.06814]

Conference Publications:

T. Jiang, F. Sohrabi, and W. Yu, "Active Sensing for Two-Sided Beam Alignment Using Ping-Pong Pilots," Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, Oct. 2022. [IEEE][link]
F. Sohrabi, Z. Chen, and W. Yu, "Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, ON, Canada, June 2021. [IEEE][link]
Z. Wang, Z. Chen, Y. -F. Liu, F. Sohrabi, and W. Yu, "An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, ON, Canada, June 2021. [IEEE][arXiv2102.03490]
K. M. Attiah, F. Sohrabi, and W. Yu, "Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems," IEEE Global Communications Conference (GLOBECOM) Workshop, Dec. 2020. [IEEE][arXiv2011.10709v1]
F. Sohrabi, H. V. Cheng, and W. Yu, "Robust Symbol-Level Precoding via Autoencoder-Based Deep Learning," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. [IEEE][link]
J. Mirzaei, F. Sohrabi, R. Adve, and S. ShahbazPanahi, "MMSE-Based Channel Estimation for Hybrid Beamforming Massive MIMO with Correlated Channels," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. [IEEE]
F. Sohrabi and W. Yu, "One-Bit Precoding Constellation Design via Autoencoder-Based Deep Learning," Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 2019. [IEEE][link]
M. Salmani, F. Sohrabi, T. N. Davidson, and W. Yu, "Multiple Access Binary Computation Offloading via Reinforcement Learning," Canadian Workshop on Information Theory (CWIT), Hamilton, ON, Canada, June 2019. [IEEE][link]
Z. Chen, F. Sohrabi, Y. -F. Liu, and W. Yu, "Covariance Based Joint Activity and Data Detection for Massive Random Access with Massive MIMO," IEEE International Conference on Communications (ICC), Shanghai, China, May 2019. [IEEE][link]
F. Bellili, F. Sohrabi, and W. Yu, "Massive MIMO mmWave Channel Estimation Using Approximate Message Passing and Laplacian Prior," IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Kalamata, Greece, June 2018. [IEEE][link]
Z. Chen, F. Sohrabi, and W. Yu, "Sparse Activity Detection for Massive Connectivity in Cellular Networks: Multi-Cell Cooperation vs Large-Scale Antenna Arrays," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, April 2018. [IEEE][link]
F. Sohrabi and E. Kuehn, "Construction of the RSRP Map Using Sparse MDT Measurements by Regression Clustering," IEEE International Conference on Communications (ICC), Paris, France, May 2017. [IEEE]
F. Sohrabi and W. Yu, "Hybrid Analog and Digital Beamforming for OFDM-based Large-Scale MIMO Systems," IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Edinburgh, UK, July 2016. [IEEE][link]
F. Sohrabi and W. Yu, "Hybrid Beamforming with Finite-Resolution Phase Shifters for Large-Scale MIMO Systems," IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Stockholm, Sweden, June 2015. [IEEE][link]
F. Sohrabi and W. Yu, "Hybrid Digital and Analog Beamforming Design for Large-Scale MIMO Systems," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015. [IEEE][link]
F. Sohrabi and T. N. Davidson, "Coordinate Update Algorithms for Robust Power Loading for the MISO Downlink with Outage Constraints and Gaussian Uncertainties," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [IEEE]

Patents

W. Yu, F. Sohrabi, K. M. Attiah, and M. Baligh, "Deep-Learning for Distributed Channel Feedback and Precoding," U.S. Patent 16/912,949, Dec. 2021. [link]

Books

Ya-Feng Liu, Wei Yu, Ziyue Wang, Zhilin Chen, and Foad Sohrabi, "Grant-Free Random Access via Covariance-Based Approach", in Next Generation Multiple Access. (Editors: Yuanwei Liu, Liang Liu, Zhiguo Ding, and Xuemin (Sherman) Shen), Wiley, 2023. [link]
Tao Jiang, Foad Sohrabi, and Wei Yu, "Interference Nulling Using Configurable Intelligent Surface", in Intelligent Surfaces Empowered 6G Wireless Network. (Editors: Qingqing Wu, Trung Q Duong, Derrick Wing Kwan Ng, Robert Schober, Rui Zhang), Wiley, 2023. [link]

Memberships

Member/former member of ACM, IEEE, ComSoc, IT, SP
Associate Editor: Serves as an AE of IEEE Transactions on Signal Processing. (since August 2023)
Technical Reviewer: Acts as a reviewer for IEEE/ACM transactions/conferences including [link]:

• IEEE Transactions on Wireless Communications • IEEE Transactions on Communications
• IEEE Transactions on Signal Processing • IEEE Wireless Communications Letters
• IEEE Communications Letters • IEEE Journal of Selected Topics in Signal Processing
• IEEE Transactions on Cognitive Communications and Networking • IEEE Access
• IEEE Transactions on Information Theory • IEEE Internet of Things Journal
• IEEE Wireless Communications • IEEE Transactions on Information Forensics and Security

• IEEE Transactions on Vehicular Technology • ACM Transactions on Sensor Networks

• IEEE Workshop on Signal Processing Advances in Wireless Communications

• IEEE International Conference on Communications • IEEE Wireless Communications and

Networking Conference • IEEE Global Communications Conference • IEEE International

Symposium on Information Theory
Technical Program Committee: Served as a TPC for the following tracks:
• "Transmission and Reception Techniques" in the IEEE Vehicular Technology Conference (June 2023, Antwerp, Belgium).
• "Machine Learning for Communications" in the IEEE Global Communications Conference (Dec. 2021, Madrid, Spain).
• "Applications of Artificial Intelligence with Machine Learning" in the IEEE Vehicular Technology Conference (May 2020, Antwerp, Belgium).
Student Conference Volunteer: Served as a student volunteer for the IEEE International Workshop on Signal Processing Advances in Wireless Communications (June 2014, Toronto, Canada).
UofT UnERD Judge: Served as a judge for the Undergraduate Engineering Research Day (UnERD) 2018, which is a one-day conference at the University of Toronto that provides undergraduate students the opportunity to showcase their research through posters and podium presentations.
ETH Zurich Research Grant Technical Reviewer: Provided technical reviews to ETH Zurich

Research Commission for scientific evaluation of research grant applications, Sept. 2020.

Awards & Recognition

Awarded IEEE Signal Processing Society (SPS) Best Paper Award, 2017.
Ranked 2nd in Positioning Algorithm Competition, IEEE CTW 2019.
Awarded Certificate of Excellence for Outstanding Thesis, McMaster University, 2013.
Awarded IEEE Signal Processing Society (SPS) Student Travel Award, SPAWC 2016.
Awarded School of Graduate Studies Conference Grant, University of Toronto, 2015.
Awarded German Academic Exchange Service (DAAD) Scholarship, 2015 and 2010.

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