Arian Eamaz

I develop signal-processing algorithms to improve resolution, signal reconstruction, and power efficiency in one-bit digital systems, with applications in radar for autonomous vehicles. I focus on sensing methods that mitigate coarse quantization distortions and saturation issues in high dynamic range signals of conventional ADCs. Leveraging my background in quantization, I created unrolled networks with one-bit weights for large inference models. Beyond radar and signal processing, I also work on data-driven certification and performance bounds to monitor the training process effectively.

• Mathematical Signal Processing
• Learning to Optimize
• Optimization Theory
• Quantization
• Neural Network Compression

• SIAM on Imaging Sciences, Atlanta, 2024
• SIAM on Mathematics and Data Science, Atlanta, 2024
• IEEE Radar Conference, Denver, 2023
• Asilomar Conference on Signals, Systems, and Computers,Pacific Grove, CA, 2023
• 14th International Conference on Sampling Theory and Applications (SampTA), Yale, 2023
• IEEE Radar Conference, San Antonio, TX, 2023
• IEEE SPS Chicago Chapter Seminar: Statistical Foundations of Low-Resolution Signal Processing: Algorithms and Theoretical Guarantees, December 4, 2023
• Asilomar Conference on Signals, Systems, and Computers,Pacific Grove, CA, 2022

• IEEE Transactions on Information Theory
• IEEE Transactions on Signal Processing
• IEEE Transactions on Communications
• IEEE Open Journal of Signal Processing
• IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

• Data-Aware Training Quality Monitoring and Certification for Reliable Deep Learning,

       F. Yeganegi, A. Eamaz and M. Soltanalian.

• Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing,

      IEEE Transactions on Information Theory, 2024,

       A. Eamaz , F. Yeganegi, D.Needell and M. Soltanalian.

• Matrix Completion from One-Bit Dither Samples,

      IEEE Transaction on Signal Processing, 2024,

       A. Eamaz , F. Yeganegi and M. Soltanalian.

• UNO: Unlimited Sampling Meets One-Bit Quantization,

      IEEE Transaction on Signal Processing, 2024,

       A. Eamaz, K.V. Mishra , F. Yeganegi and M. Soltanalian.

• MaRLI: Attack on the Discrete-Phase WISL Minimization Problem,

      IEEE Transactions on Signal Processing, 2023,

      A. Eamaz, F. Yeganegi and M. Soltanalian.

• One-Bit Phase Retrieval: More Samples Means Less Complexity?,

      IEEE Transactions on Signal Processing, 2022, 

      A. Eamaz, F. Yeganegi and M. Soltanalian.

• Covariance Recovery for One-Bit Sampled Non-Stationary Signals With Time-Varying Sampling Thresholds.,

      IEEE Transactions on Signal Processing, 2022, 

     A. Eamaz, F. Yeganegi and M. Soltanalian.

• Cramér-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar.,

      IEEE Signal Processing Letters, 2022, 

     Z. Esmaeilbeig, K.V. Mishra, A.Eamaz and M. Soltanalian

• On the Building Blocks of Sparsity Measures.,

      IEEE Signal Processing Letters, 2022, 

     A. Eamaz, F. Yeganegi, and M. Soltanalian.

• Covariance Recovery for One-Bit Sampled Stationary Signals With Time-Varying Sampling Thresholds.,

       Signal Processing, Elsevier, 2022

       A. Eamaz, F. Yeganegi, and M. Soltanalian.

• Placement of Intelligent Reflecting Surfaces for Sensing: A Submodular Optimization Approach.,

       CAMSAP, 2023

       Z. Esmaeilbeig, K. V. Mishra, A. Eamaz, and M. Soltanalian.

• Global One-Bit Phase Retrieval via Sample Abundance-Including an Application to STFT Measurements.,

        Asilomar Conference on Signals, Systems, and Computers, 2023,

       A. Eamaz, F. Yeganegi and M. Soltanalian.

• Unlimited Sampling of FRI Signals with Dithered One-Bit Quantization,

        Asilomar Conference on Signals, Systems, and Computers, 2023,

       A. Eamaz, F. Yeganegi, and M. Soltanalian.

• Unlimited Sampling via One-Bit Quantization.,

        SampTA, 2023, 

       A. Eamaz, K.V. Mishra , F. Yeganegi and M. Soltanalian.

• One-Bit Matrix Completion With Time-Varying Sampling Thresholds.,

        SampTA, 2023,  

       A. Eamaz, F. Yeganegi and M. Soltanalian. 

• Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar.,

       EUSIPCO, 2023

       A. Eamaz, F. Yeganegi, K.V. Mishra and M. Soltanalian. 

• One-Bit Quadratic Compressed Sensing From Sample Abundance to Linear Feasibility.,

       ISIT, 2023, 

       A. Eamaz, F. Yeganegi, D. Needell and M. Soltanalian.

• Quantized Phase-Shift Design of Active IRS for Integrated Sensing and Communications.,

       ICASSP, 2023, 

       A. Eamaz, Z. Esmaeilbeig, K.V. Mishra and M. Soltanalian. 

• CyPMLI:WISL-Minimmized Unimodular Sequence Design via Power Method-like Iterations.,

      ICASSP 2023, 

       A. Eamaz, F. Yeganegi and M. Soltanalian.

• Joint Waveform and Passive Beamforming Design In Multi-IRS-Aided Radars.,

      ICASSP 2023,

       Z. Esmaeilbeig, A. Eamaz, K.V. Mishra and M. Soltanalian.

• Moving Target Detection via Multi-IRS-Aided OFDM Radar,

      IEEE Radar Conference, 2023, 

      Z. Esmaeilbeig, A. Eamaz, K.V. Mishra and M. Soltanalian.

• OPeRA: Leveraging the Sample Size and Complexity Trade-Off Towards Efficient One-Bit Phase Retrieval.,

     Asilomar Conference on Signals, Systems, and Computers, 2022, 

     A. Eamaz, F. Yeganegi, and M. Soltanalian.

• Generalized Probability Density Function Estimation via Convex Optimization.,

      ISIT, 2022, 

      A. Eamaz, F. Yeganegi, and M. Soltanalian and N. Devroye.

• Modified Arcsine Law for One-Bit Sampled Stationary Signals with Time-Varying Thresholds.,

     ICASSP,  2021

     A. Eamaz, F. Yeganegi, and M. Soltanalian.