Publications

R. Ghods, A. Lan, T. Goldstein and C. Studer, “Linear Spectral Estimators and an Application to Phase Retrieval,” 2018 International Conference on Machine Learning (ICML)

R. Ghods, A. Lan, T. Goldstein and C. Studer, “Initializing Neural Networks by Layer Fusion,” 2020 Conference on Information Sciences and Systems (CISS)

R. Ghods, A. Lan, T. Goldstein and C. Studer, “PhaseLin: Linear Phase Retrieval,” 2018 Conference on Information Sciences and Systems (CISS)

R. Ghods, C. Jeon, G. Mirza, A. Maleki, and C. Studer, “Optimally-Tuned Nonparametric Linear Equalization for Massive MU-MIMO Systems,” 2017 IEEE International Symposium on Information Theory (ISIT)

R. Ghods, C. Jeon, A. Maleki, and C. Studer, “Optimal Large-MIMO Data Detection with Transmit Impairments”, 2015 Allerton Conference on Communication, Control, and Computing

R. Ghods, S. Mirfarshbafan, A. Gallyas-Sanhueza, and C. Studer, “BEACHES: Beamspace Channel Estimation for Multi-Antenna mmWave Systems and Beyond,” 2019 IEEE Signal Processing Advances in Wireless Communications (SPAWC)

L. Tang, R. Ghods, and C. Studer, “Reducing the Complexity of Fingerprinting-Based Positioning using Locality-Sensitive Hashing,” 2019 Asilomar Conference on Signals, Systems and Computers

C. Jeon, R. Ghods, A. Maleki, and C. Studer, “Optimality of Large MIMO Detection via Approximate Message Passing ,” 2015 IEEE International Symposium on Information Theory (ISIT)

A. Gallyas-Sanhueza, R. Ghods, S. Mirfarshbafan, C. Studer, “Sparsity-Adaptive Beamspace Channel Estimation for 1-Bit mmWave Systems,” 2020 IEEE International Workshop on Signal Processinh Advances in Wireless Communications (SPAWC)

S. Mirfarshbafan, A. Gallyas-Sanhueza, R. Ghods, and C. Studer, “Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design,” IEEE Transactions on Circuits and Systems I (TCAS-I)

C. Jeon, G. Mirza, R. Ghods, A. Maleki, and C. Studer, “VLSI Design of a Nonparametric Equalizer for Massive MU-MIMO.” 2017 Asilomar Conference on Signals, Systems and Computers

Patents

C. Studer, R. Ghods, S. Mirfarshbafan, A. Gallyas-Sanhueza, “Circuits and Method for Enabling Channel Denoising in a Wireless Communication Apparatus,” United States Patent, Patent number: 10608686

Thesis

R. Ghods, "Nonlinear Estimation with Applications to Wireless Communications, Imaging, and Machine Learning." Doctoral dessertation, Cornell University, 2019.

Under Review

R. Ghods, A. Banerjee, J. Schneider, “Asynchronous Multi Agent Active Search”, preprint arXiv:2006.14718, 2020

R. Ghods, W. J. Durkin, J. Schneider, “Multi Agent Active Search using Realistic Depth-Aware Noise Model”, IEEE Robotics and Automation Letters (Submitted), preprint arXiv:2011.04825, 2020

R. Ghods, C. Jeon, A. Maleki, and C. Studer, “Optimal Data Detection and Signal Estimation with Input Noise,” IEEE Transactions on Signal Processing (TSP) (submitted)

C. Jeon, R. Ghods, A. Maleki, and C. Studer, “Optimal Data Detection in Large MIMO,” IEEE Transactions on Information Theory (submitted)

In Preparation

C. Jeon, R. Ghods, O. Castaneda, and C. Studer, “NOPE: A Non-Parametric Linear Estimator,” IEEE Transactions on Signal Processing (TSP) (in preparation)

C. Jeon, O. Castaneda, R. Ghods, and C. Studer, “A Parameter-Free 219Mb/s 0.43mm2 158mW 16-User 4 Massive MIMO Equalizer in 28nm CMOS ,”IEEE Transactions on Circuits and Systems I (TCAS-I) (in preparation)

Selected Presentations

R. Ghods, “Multi Agent Active Search and Rescue” Grace Hopper Celebration Poster Speaker, Sep. 2020

R. Ghods, “Linear Phase Retrieval” Harvard John A. Paulson School of Engineering and Applied Sciences, Aug. 2018

R. Ghods, “FuseNet: Layer Fusion of Deep Neural Networks” Information Theory and Applications Workshop (ITA), Feb. 2019