Piya Pal
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Publications

Refereed Journal and Journal-Equivalent Conference Articles
  1. Piya Pal and P. P. Vaidyanathan, “Nested arrays: a novel approach to array processing with enhanced degrees of freedom,” IEEE Transactions on Signal Processing, vol. 58, pp. 4167–4181, August 2010. [Link]
  2. P. P. Vaidyanathan and Piya Pal, “System Identification With Sparse Coprime Sensing,” IEEE Signal Processing Letters, vol. 17, no. 10, pp. 823–826, Oct. 2010. [Link]
  3. P. P. Vaidyanathan and Piya Pal, “Sparse Sensing With Co-Prime Samplers and Arrays,” IEEE Trans. on Signal Processing, vol. 59, pp. 573–586, Feb. 2011. [Link]
  4. Piya Pal and P. P. Vaidyanathan, “Coprimality of Certain Families of Integer Matrices,” IEEE Trans. on Signal Processing, vol. 59, pp. 1481–1490, April 2011. [Link]
  5. P. P. Vaidyanathan and Piya Pal, “Generating New Commuting Coprime Matrix Pairs From Known Pairs,” IEEE Signal Processing Letters, vol. 18, no. 5, pp. 303–306, May 2011. [Link]
  6. P. P. Vaidyanathan and Piya Pal, “A General Approach to Coprime Pairs of Matrices, Based on Minors,” IEEE Transactions on Signal Processing, vol. 59, no. 8, Aug. 2011. [Link]
  7. P. P. Vaidyanathan and Piya Pal, “Theory of sparse coprime sensing in multiple dimensions,” IEEE Transactions on Signal Processing, vol. 59, no. 8, Aug. 2011. [Link]
  8. Piya Pal and P. P. Vaidyanathan, “Multiple Level Nested Array: An efficient geometry for 2qth order cumulant based array processing,” IEEE Transactions on Signal Processing, vol. 60, no. 3, pp. 1253–1269, March 2012. [Link]
  9. Piya Pal and P. P. Vaidyanathan, “Nested Arrays in Two Dimensions, Part II: Application to Two Dimensional Array Processing,” IEEE Trans. on Signal Processing, vol. 60, no. 9, pp. 4706–4718, Sept. 2012. [Link]
  10. Piya Pal and P. P. Vaidyanathan, “Nested Arrays in Two Dimensions, Part I: Geometrical Considerations,” IEEE Trans. on Signal Processing, vol. 60, no. 9, pp. 4694–4705, Sept. 2012. [Link]
  11. Piya Pal and P. P. Vaidyanathan, “A Grid-Less Approach to Underdetermined Direction of Arrival Estimation Via Low Rank Matrix Denoising,” IEEE Signal Processing Letters, vol. 21, no. 6, pp. 737–741, June 2014. [Link]
  12. Qi Cheng, Piya Pal, Masashi Tsuji and Yingbo Hua, “An MDL Algorithm for Detecting More Sources Than Sensors Using Outer-Products of Array Output,” IEEE Trans. on Signal Processing, vol. 62, no. 24, pp. 6438–6453, Dec. 2014. [Link]
  13. Piya Pal and P. P. Vaidyanathan, “Pushing the Limits of Sparse Support Recovery Using Correlation Information,” IEEE Trans. on Signal Processing, vol. 63, no. 3, pp. 711–726, Feb. 2015. [Link]
  14. Heng Qiao and Piya Pal, “Generalized Nested Sampling for Compressing Low Rank Toeplitz Matrices,” IEEE Signal Processing Letters, vol. 22, no. 11, pp. 1844–1848, Nov. 2015. [Link]
  15. Heng Qiao and Piya Pal, “Gridless Line Spectrum Estimation and Low-Rank Toeplitz Matrix Compression Using Structured Samplers: A Regularization-Free Approach,” IEEE Transactions on Signal Processing, vol. 65, no. 9, pp. 2221–2236, May 2017. [Link]
  16. Ali Koochakzadeh and Piya Pal, “Cramér-Rao Bounds for Underdetermined Source Localization,” IEEE Signal Processing Letters, vol. 23, no. 7, pp. 919–923, July 2016. [Link]
  17. Ali Koochakzadeh and Piya Pal, “Sparse Source Localization Using Perturbed Arrays via Bi-Affine Modeling,” Digital Signal Processing (Elsevier), Special Issue on Coprime Sampling and Arrays, vol. 61, pp. 15–25, Feb. 2017. [Link]
  18. Ali Koochakzadeh and Piya Pal, “Performance of Uniform and Sparse Non-Uniform Samplers in Presence of Modeling Errors: A Cramér-Rao Bound Based Study,” IEEE Transactions on Signal Processing, vol. 65, no. 6, pp. 1607–1621, March 2017. [Link]
  19. Heng Qiao and Piya Pal, “On Maximum Likelihood Methods For Localizing More Sources than Sensors,” IEEE Signal Processing Letters, vol. 24, no. 5, pp. 703–706, April 2017. [Link]
  20. A. Kazemipour, S. Miran, Piya Pal, B. Babadi, and M. Wu, “Sampling Requirements for Stable Autoregressive Estimation,” IEEE Transactions on Signal Processing, vol. 65, no. 9, pp. 2333–2347, May 2017. [Link]
  21. Qing Shen, Wei Liu, Wei Cui, Siliang Wu, and Piya Pal, “Simplified and Enhanced Multiple Level Nested Arrays Exploiting High Order Difference Co-Arrays,” IEEE Transactions on Signal Processing, vol. 67, no. 13, pp. 3502–3515, July 2019. [Link]
  22. Ali Koochakzadeh, Heng Qiao and Piya Pal, “On Fundamental Limits of Joint Sparse Support Recovery Using Certain Correlation Priors,” IEEE Transactions on Signal Processing, vol. 66, no. 17, pp. 4612–4625, Sept. 2018. [Link]
  23. Piya Pal, “Correlation Awareness in Low-Rank Models: Sampling, Algorithms, and Fundamental Limits,” IEEE Signal Processing Magazine, vol. 35, no. 4, pp. 56–71, July 2018. [Link]
  24. Santosh Nannuru, Ali Koochakzadeh, Kay Gemba, Piya Pal, and Peter Gerstoft, “Sparse Bayesian learning for DOA estimation using sparse linear arrays,” Journal of the Acoustic Society of America, 144, 2719–2730, 2018. [Link]
  25. Heng Qiao and Piya Pal, “Guaranteed Localization of More Sources than Sensors with Finite Snapshots in Multiple Measurement Vector Models Using Difference Co-Arrays,” IEEE Transactions on Signal Processing, vol. 67, no. 22, pp. 5715–5729, Nov. 2019. [Link]
  26. Paria Rezaeinia, Kim Fairley, Piya Pal, Francois G. Meyer, and R. McKell Carter, “Identifying brain network topology changes in task processes and psychiatric disorders,” Network Neuroscience, 4:1, pp. 257–273, 2020. [Link]
  27. Ali Koochakzadeh and Piya Pal, “Compressed Arrays and Hybrid Channel Sensing: A Cramér-Rao Bound Based Analysis,” IEEE Signal Processing Letters, vol. 27, pp. 1395–1399, 2020. [Link]
  28. Pulak Sarangi, Mehmet Can Hucumenoglu and Piya Pal, “Beyond Coarray MUSIC: Harnessing the Difference Sets of Nested Arrays with Limited Snapshots,” IEEE Signal Processing Letters, vol. 28, pp. 2172–2176, 2021. [Link]
  29. Nguyen, Phuong HL, Shimon Rubin, Pulak Sarangi, Piya Pal, and Yeshaiahu Fainman, “SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing,” Applied Physics Letters, 120, no. 2, 2022. [Link]
  30. Sina Shahsavari, Pulak Sarangi, and Piya Pal, “Beamspace esprit for mmwave channel sensing: Performance analysis and beamformer design,” Frontiers in Signal Processing, 1, 2022 (Invited Article). [Link]
  31. Sarangi, P. and Pal, P., “Measurement Matrix Design for Sample-efficient Binary Compressed Sensing,” IEEE Signal Processing Letters, 29, pp. 1307–1311, 2022. [Link]
  32. Chen, Jiawen, Piya Pal, and Eric T. Ahrens, “Enhanced detection of paramagnetic fluorine-19 magnetic resonance imaging agents using zero echo time sequence and compressed sensing,” NMR in Biomedicine, 35, no. 8, 2022. [Link]
  33. Sarangi, Pulak, Mehmet Can Hücümenoğlu, and Piya Pal, “Single-snapshot nested virtual array completion: Necessary and sufficient conditions,” IEEE Signal Processing Letters, 29, pp. 2113–2117, 2022. [Link]
  34. P. Sarangi, R. Hattori, T. Komiyama and P. Pal, “Super-Resolution With Binary Priors: Theory and Algorithms,” IEEE Transactions on Signal Processing, vol. 71, pp. 3213–3228, 2023. [Link]
  35. Pulak Sarangi, Mehmet Can Hücümenoğlu, Robin Rajamäki, Piya Pal, “Super-Resolution With Sparse Arrays: A Nonasymptotic Analysis of Spatiotemporal Trade-Offs,” IEEE Transactions on Signal Processing, vol. 71, pp. 4288–4302, 2023. [Link]
  36. Jiawen Chen, Piya Pal and Eric T. Ahrens, “Systems Engineering Approach Towards Sensitive Cellular Fluorine-19 MRI,” NMR in Biomedicine, 38, no. 1, 2025. [Link]
  37. Sina Shahsavari and Piya Pal, “Cramér-Rao Bounds and Resolution Benefits of Sparse Arrays in Measurement-Dependent SNR Regimes,” IEEE Signal Processing Letters, vol. 32, pp. 601–605, 2025. [Link]
  38. Yinyan Bu, Jiajie Yu, Kai Zheng, Xinyu Zhang and Piya Pal, “NEAR: Neural Electromagnetic Array Response,” Proc. 42nd ICML, 267:5749–5774, 2025. [Link]
Books and Book Chapters
  1. P. P. Vaidyanathan and P. Pal, “Coprime sampling and arrays in one and multiple dimensions,” Chapter 5 in Multiscale Signal Analysis and Modeling, Edited by X. A. Shen and A. I. Zayed, Springer, 2012. [Link]
  2. Piya Pal and Heng Qiao, “Sparse Arrays in Sample Starved Regimes: Algorithms and Performance Analysis,” in Sparse Arrays for Radar, Sonar, and Communications, IEEE, 2024, pp. 103–129. [Link]
Refereed Conference Proceedings
  1. P. P. Vaidyanathan, Piya Pal, and Chun-Yang Chen, “MIMO radar with broad band waveforms: smearing filter banks and 2D virtual arrays,” Proc. 42nd Asilomar Conference, Monterey, CA, Oct. 2008. [Link]
  2. Piya Pal and P. P. Vaidyanathan, “Frequency invariant MVDR Beamforming without filters and implementation using MIMO radar,” Proc. ICASSP, Taipei, April 2009. (Finalist, Best Student Paper Award) [Link]
  3. Piya Pal and P. P. Vaidyanathan, “A novel autofocusing approach for estimating directions-of-arrival of wideband signals,” 43rd Asilomar Conf., pp. 1663–1667, Nov. 2009. [Link]
  4. P. P. Vaidyanathan and Piya Pal, “MIMO radar, SIMO radar, and IFIR radar: a comparison,” Proc. 43rd Asilomar Conference, Monterey, CA, Nov. 2009. [Link]
  5. Piya Pal and P. P. Vaidyanathan, “A novel array structure for directions-of-arrival estimation with increased degrees of freedom,” Proc. ICASSP, Dallas, March 2010. [Link]
  6. Piya Pal and P. P. Vaidyanathan, “Beamforming using passive nested arrays of sensors,” Proc. IEEE Int. Symp. Circuits and Systems, Paris, May–June 2010. [Link]
  7. P. P. Vaidyanathan and Piya Pal, “Sparse sensing with coprime arrays,” Proc. 44th Asilomar Conference, Monterey, CA, Nov. 2010. [Link]
  8. Piya Pal and P. P. Vaidyanathan, “Efficient Frequency Invariant Beamforming using Virtual Arrays,” Proc. 44th Asilomar Conference, Monterey, CA, Nov. 2010. [Link]
  9. P. P. Vaidyanathan and Piya Pal, “Sparse coprime sensing with multidimensional lattice arrays,” 14th IEEE DSP Workshop, Sedona, AZ, Jan. 2011. [Link]
  10. Piya Pal and P. P. Vaidyanathan, “Coprime sampling and the MUSIC algorithm,” IEEE DSP Workshop, Sedona, AZ, January 2011. (Winner, Best Student Paper Award) [Link]
  11. P. P. Vaidyanathan and Piya Pal, “Adjugate pairs of sparse arrays for sampling two-dimensional signals,” Proc. IEEE ICASSP, Prague, Czech Republic, May 2011. [Link]
  12. P. P. Vaidyanathan and Piya Pal, “Coprime sampling for system stabilization with FIR multirate controllers,” Proc. 45th Asilomar Conference, Monterey, CA, Nov. 2011. [Link]
  13. Piya Pal and P. P. Vaidyanathan, “Non-Uniform Linear Arrays for Improved Identifiability in Cumulant Based DOA Estimation,” Proc. 45th Asilomar Conference, Monterey, CA, Nov. 2011. (3rd Prize, Best Student Paper Award) [Link]
  14. Piya Pal and P. P. Vaidyanathan, “Two Dimensional Nested Arrays on Lattices,” ICASSP, Prague, May 2011. [Link]
  15. P. P. Vaidyanathan and Piya Pal, “Direct-MUSIC on sparse arrays,” IEEE Intl. Conf. on Signal Proc. and Comm., Bangalore, India, July 2012. [Link]
  16. Piya Pal and P. P. Vaidyanathan, “Correlation Aware Techniques for Sparse Support Recovery,” IEEE Statistical Signal Processing Workshop (SSP), 2012, pp. 53–56, Aug. 2012. [Link]
  17. Piya Pal and P. P. Vaidyanathan, “On Application of LASSO for Sparse Support Recovery With Imperfect Correlation Awareness,” 46th Asilomar Conference, Nov. 2012. [Link]
  18. P. P. Vaidyanathan and Piya Pal, “Role of bandwidth in the quality of inversion of linear multirate systems with noise,” Proc. 46th Asilomar Conference, Monterey, CA, Nov. 2012. [Link]
  19. Piya Pal and P. P. Vaidyanathan, “Correlation Aware Sparse Support Recovery: Gaussian Sources,” ICASSP, Vancouver, May 2013. [Link]
  20. Piya Pal and P. P. Vaidyanathan, “Conditions for Identifiability in Sparse Spatial Spectrum Sensing,” Invited paper at EUSIPCO, Marrakech, Sep. 2013. [Link]
  21. P. P. Vaidyanathan and Piya Pal, “Why does direct-MUSIC on sparse-arrays work?,” Proc. 47th Asilomar Conference, Monterey, CA, Nov. 2013. [Link]
  22. P. P. Vaidyanathan and Piya Pal, “The Farey dictionary for sparse representation of periodic signals,” Proc. IEEE ICASSP, Florence, Italy, May 2014. [Link]
  23. Piya Pal and P. P. Vaidyanathan, “Parameter Identifiability in Sparse Bayesian Learning,” ICASSP, Florence, Italy, May 2014. [Link]
  24. Piya Pal and P. P. Vaidyanathan, “Soft-Thresholding for Spectrum Sensing with Coprime Samplers,” Invited paper at IEEE SAM, Spain, June 2014. [Link]
  25. Piya Pal and P. P. Vaidyanathan, “Gridless methods for underdetermined source estimation,” Proc. Asilomar Conf., Monterey, CA, Nov. 2014. [Link]
  26. Heng Qiao and Piya Pal, “Generalized Nested Sampling for Compression and Exact Recovery of Symmetric Toeplitz Matrices,” IEEE GlobalSIP, Atlanta, Dec. 2014. [Link]
  27. Piya Pal, “Dictionary Learning from Quadratic Measurements in Block Sparse Models,” Proc. Asilomar Conference, 2015. [Link]
  28. Ali Koochakzadeh and Piya Pal, “Rank Deficiency and Sparsity in Partially Observed Multiple Measurement Vector Models,” Proc. Asilomar Conference, 2015. [Link]
  29. Heng Qiao and Piya Pal, “Sparse Phase Retrieval Using Partial Nested Fourier Samplers,” Proc. IEEE GlobalSIP, Atlanta, Dec. 2015. [Link]
  30. Robert Lee, Linda Mullen, Piya Pal and David Illig, “Time of Flight Measurements for Optically Illuminated Underwater Targets Using Compressive Sampling and Sparse Reconstruction,” MTS/IEEE Oceans 2015, Washington D.C., 2015. [Link]
  31. Ali Koochakzadeh and Piya Pal, “Sparse Source Localization in Presence of Co-Array Perturbations,” Proc. SampTA, Washington D.C., 2015. [Link]
  32. Ali Koochakzadeh and Piya Pal, “On the Robustness of Co-Prime Sampling,” Invited paper at EUSIPCO, 2015. [Link]
  33. Robert Lee, Piya Pal and Linda Mullen, “Theoretical And Experimental Study of Sub-Nyquist FMCW LIDAR systems,” Proc. SPIE, Baltimore, April 2016. [Link]
  34. Ali Koochakzadeh and Piya Pal, “An entropy-driven matrix completion (E-MC) approach to complex network mapping,” Proc. SPIE, Baltimore, April 2016. [Link]
  35. Ali Koochakzadeh and Piya Pal, “Exact Localization of Correlated Sources using 2D Harmonics Retrieval,” Proc. Asilomar Conference, 2016. [Link]
  36. Heng Qiao and Piya Pal, “Stable Compressive Low Rank Toeplitz Covariance Estimation Without Regularization,” Proc. Asilomar Conference, 2016. [Link]
  37. Ali Koochakzadeh, Heng Qiao and Piya Pal, “Compressive Spectrum Sensing with Spectral Priors for Cognitive Radar,” Invited paper at CoSeRa, 2016. [Link]
  38. Heng Qiao and Piya Pal, “Finite Sample Analysis of Covariance Compression Using Structured Samplers,” Proc. IEEE SAM, 2016. [Link]
  39. Heng Qiao and Piya Pal, “Sparse Phase Retrieval with Near Minimal Measurements: A Structured Sampling Based Approach,” Proc. IEEE ICASSP, 2016. [Link]
  40. Chun-Lin Liu, Piya Pal and P. P. Vaidyanathan, “Coprime Coarray Interpolation for DOA Estimation via Nuclear Norm Minimization,” Proc. IEEE ISCAS, 2016. [Link]
  41. Heng Qiao and Piya Pal, “Unified Analysis of Co-Array Interpolation for Direction-of-Arrival Estimation,” Proc. ICASSP 2017, New Orleans, March 2017. (Best Student Paper Award, First Place) [Link]
  42. Ali Koochakzadeh and Piya Pal, “On Saturation of the Cramér-Rao Bound for Sparse Bayesian Learning,” Proc. ICASSP 2017, New Orleans, March 2017. [Link]
  43. Heng Qiao and Piya Pal, “Multiple Hypothesis Testing for Dynamic Support Recovery,” Invited paper at IEEE SPAWC 2017, Hokkaido, Japan. [Link]
  44. Heng Qiao and Piya Pal, “Performance Limits of Covariance-Driven Super Resolution Imaging,” Invited paper at Asilomar Conference, Nov. 2017. [Link]
  45. Ali Koochakzadeh, Piya Pal, and Eric T. Ahrens, “Spike Localization in Zero Time of Echo (ZTE) Magnetic Resonance Imaging,” Invited paper at Asilomar Conference, Nov. 2017. [Link]
  46. Pulak Sarangi, Heng Qiao and Piya Pal, “On the Role of Sampling and Sparsity in Phase Retrieval for Optical Coherence Tomography,” Invited paper at IEEE CAMSAP 2017, Curacao, Dutch Antilles, Dec. 2017. [Link]
  47. Ali Koochakzadeh and Piya Pal, “On Canonical Polyadic Decomposition of Overcomplete Tensors of Arbitrary Even Order,” Invited paper at IEEE CAMSAP 2017, Curacao, Dutch Antilles, Dec. 2017. [Link]
  48. Heng Qiao and Piya Pal, “Understanding the Role of Positive Constraints in Sparse Bilinear Problems,” Proc. IEEE CAMSAP 2017, Curacao, Dutch Antilles, Dec. 2017. [Link]
  49. Ali Koochakzadeh and Piya Pal, “Non-Asymptotic Guarantees for Correlation-Aware Support Detection,” Proc. IEEE ICASSP 2018, Calgary, Canada. [Link]
  50. Heng Qiao and Piya Pal, “On the Modulus of Continuity for Noisy Positive Super-Resolution,” Proc. IEEE ICASSP 2018, Calgary, Canada. [Link]
  51. Pulak Sarangi and Piya Pal, “Compressed sensing and differential measurements in interferometry,” Proc. SPIE, Orlando, May 2018. [Link]
  52. Ali Koochakzadeh and Piya Pal, “Beam-Pattern Design for Hybrid Beamforming using Wirtinger Flow,” Invited paper at IEEE SPAWC, Kalamata, Greece, June 2018. [Link]
  53. Pulak Sarangi and Piya Pal, “Robust Sparse Phase Retrieval From Differential Measurements Using Reweighted l1 Minimization,” Proc. IEEE SAM 2018, Sheffield, UK, July 2018. [Link]
  54. Santosh Nannuru, Peter Gerstoft, Ali Koochakzadeh and Piya Pal, “Sparse Bayesian learning for DoA estimation using co-prime and nested arrays,” Proc. IEEE SAM 2018, Sheffield, UK, July 2018. [Link]
  55. Heng Qiao, Mehmet Can Hucumenoglu, Piya Pal, “Compressive Kriging Using Multi-Dimensional Generalized Nested Sampling,” Proc. Asilomar Conference, 2018. [Link]
  56. Ali Koochakzadeh, Pulak Sarangi, Piya Pal, “Mixed Factor Structured Tensor Decomposition via solving quadratic equations,” Proc. Asilomar Conference, 2018. [Link]
  57. Ali Koochakzadeh and Piya Pal, “Canonical Polyadic (CP) Decomposition of Structured Semi-Symmetric Fourth-Order Tensors,” Invited paper at IEEE Data Science Workshop (DSW), June 2019. [Link]
  58. Mehmet Can Hucumenoglu and Piya Pal, “On the role of Sampling in Underdetermined Tensor Decomposition with Kronecker Structured Factors,” Invited paper at Asilomar Conference, Nov. 2019. [Link]
  59. Ali Koochakzadeh and Piya Pal, “Identification of Correlation Subspaces from Batch versus Sequential Measurements,” Asilomar Conference, Nov. 2019. [Link]
  60. Pulak Sarangi, Mehmet Can Hucumenoglu and Piya Pal, “Understanding Sample Complexities for Structured Signal Recovery from Non-Linear Measurements,” Invited paper at IEEE CAMSAP, Dec. 2019. (Best Student Paper Award, First Position) [Link]
  61. Pulak Sarangi and Piya Pal, “Superresolution via bilinear fusion of multimodal imaging data,” Invited paper at SPIE Defense and Commercial Sensing, 2019. [Link]
  62. Heng Qiao and Piya Pal, “A Non-Convex Approach to Non-negative Super-Resolution: Theory and Algorithm,” Proc. IEEE ICASSP 2019, Brighton, UK. [Link]
  63. Pulak Sarangi, Sina Shahsavari and Piya Pal, “Robust DOA and Subspace Estimation for Hybrid Channel Sensing,” Proc. Asilomar Conference, 2020. [Link]
  64. Mehmet Can Hucumenoglu and Piya Pal, “Learning Polynomial Neural Network via Low Rank Tensor Recovery,” Proc. Asilomar Conference, 2020. [Link]
  65. Pulak Sarangi, Mehmet Can Hucumenoglu, and Piya Pal, “Effect Of Undersampling on non-negative blind deconvolution with Autoregressive Filters,” Proc. IEEE ICASSP, 2020. [Link]
  66. Heng Qiao, Sina Shahsavari and Piya Pal, “Super-resolution with Noisy Measurements: Reconciling Upper and Lower Bounds,” Proc. IEEE ICASSP, 2020. [Link]
  67. Mehmet Can Hucumenoglu and Piya Pal, “Effect of Sparse Array Geometry on Estimation of Co-array Signal Subspace,” Invited paper at ACES, 2020. [Link]
  68. Mehmet Can Hucumenoglu, Pulak Sarangi and Piya Pal, “Direction Finding with Co-arrays in the Finite Snapshot Regime,” Invited paper at APS/URSI, 2020. [Link]
  69. Ali Koochakzadeh and Piya Pal, “Channel Estimation for Hybrid MIMO Communication with (Non-) Uniform Linear Arrays via Tensor Decomposition,” Proc. IEEE SAM, 2020. [Link]
  70. Heng Qiao, Pulak Sarangi, Yazeed Alnumay, and Piya Pal, “Sample complexity trade-offs for synthetic aperture based high-resolution estimation and detection,” Proc. IEEE SAM, 2020. (Finalist, Best Student Paper Award) [Link]
  71. Pulak Sarangi and Piya Pal, “No Relaxation: Guaranteed Recovery of Finite-Valued Signals from Undersampled Measurements,” Proc. IEEE ICASSP, June 2021. [Link]
  72. Sina Shahsavari, Jacob Millhiser, and Piya Pal, “Fundamental Trade-offs in Noisy Super-resolution with Synthetic Apertures,” Proc. IEEE ICASSP, June 2021. [Link]
  73. S. Shahsavari, P. Sarangi and P. Pal, “KR-LISTA: Re-Thinking Unrolling for Covariance-Driven Sparse Inverse Problems,” 55th Asilomar Conference, Pacific Grove, CA, 2021, pp. 1403–1408. [Link]
  74. M. C. Hücümenoğlu, P. Sarangi and P. Pal, “Exploring Fundamental Limits of Spatiotemporal Sensing for Non-Linear Inverse Problems,” 55th Asilomar Conference, Pacific Grove, CA, 2021, pp. 1409–1413. [Link]
  75. F. Ahmad, P. Pal and T. Zhou, “Reliable DOA Estimation in Spatially Correlated Noise With Nonuniform Arrays,” 55th Asilomar Conference, Pacific Grove, CA, 2021, pp. 1646–1650. [Link]
  76. M. C. Hücümenoğlu, R. Rajamäki and P. Pal, “Geometry of Random Sparse Arrays,” 56th Asilomar Conference, Pacific Grove, CA, 2022, pp. 476–480. [Link]
  77. S. Shahsavari, J. Chen and P. Pal, “Exploring the Geometry of Generative Priors with Applications in Cellular MRI,” 56th Asilomar Conference, Pacific Grove, CA, 2022, pp. 1010–1015. [Link]
  78. J. Millhiser, P. Sarangi and P. Pal, “Initialization-Free Implicit-Focusing (IF2) for Wideband Direction-of-Arrival Estimation,” ICASSP 2022, Singapore, pp. 4973–4977. [Link]
  79. S. Shahsavari, P. Sarangi, M. C. Hücümenoğlu and P. Pal, “Ada-JSR: Sample Efficient Adaptive Joint Support Recovery From Extremely Compressed Measurement Vectors,” ICASSP 2022, Singapore, pp. 9077–9081. [Link]
  80. M. C. Hücümenoğlu, P. Sarangi, R. Rajamäki and P. Pal, “To Regularize or Not to Regularize: The Role of Positivity in Sparse Array Interpolation with a Single Snapshot,” ICASSP 2023, Rhodes Island, Greece, pp. 1–5. [Link]
  81. Robin Rajamäki and Piya Pal, “Importance of Array Redundancy Pattern in Active Sensing,” IEEE CAMSAP 2023, Herradura, Costa Rica, pp. 156–160. [Link]
  82. Yinyan Bu, Robin Rajamäki, Pulak Sarangi and Piya Pal, “Harnessing Holes for Spatial Smoothing with Applications in Automotive Radar,” 57th Asilomar Conference, Pacific Grove, CA, 2023, pp. 1308–1312. [Link]
  83. Parthasarathi Khirwadkar, Sina Shahsavari, Mehmet Can Hücümenoğlu and Piya Pal, “Max-Min Hierarchical Codebooks for Millimeter-Wave Channel Sensing with Bandit Algorithms,” 57th Asilomar Conference, Pacific Grove, CA, 2023, pp. 387–392. [Link]
  84. Jiawen Chen, Eric T. Ahrens and Piya Pal, “Physics-Driven Learned Deconvolution of Multi-Spectral Cellular MRI with Radial Sampling,” 57th Asilomar Conference, Pacific Grove, CA, 2023, pp. 1453–1457. [Link]
  85. Robin Rajamäki, Mehmet Can Hücümenoğlu, Pulak Sarangi and Piya Pal, “Effect of Beampattern on Matrix Completion with Sparse Arrays,” ICASSP 2024, Seoul, Korea, pp. 13451–13455. [Link]
  86. Yinyan Bu, Robin Rajamäki, Anand Dabak, Rajan Narasimha, Anil Mani and Piya Pal, “Sparse Spatial Smoothing: Reduced Complexity and Improved Beamforming Gain via Sparse Sub-Arrays,” 2024 IEEE Radar Conference, Denver, CO, pp. 1–6. [Link]
  87. Hessam Mahdavifar, Robin Rajamäki and Piya Pal, “Subspace Coding for Spatial Sensing,” 2024 IEEE ISIT, Athens, Greece, pp. 2394–2399. [Link]
  88. Parthasarathi Khirwadkar, Mehmet Can Hücümenoğlu and Piya Pal, “DynaPA: Dynamic Power Allocation for Improved Exploration-Exploitation in Active Sensing,” IEEE SAM 2024, Corvallis, OR, pp. 1–5. [Link]
  89. Parthasarathi Khirwadkar, Osman Furkan Kar, and Piya Pal, “Monte Carlo Tree Search for Binary Inverse Problems with O(1) Measurements,” 58th Asilomar Conference, Pacific Grove, CA, 2024, pp. 1199–1204. [Link]
  90. Robin Rajamäki and Piya Pal, “Sparse Array Sensor Selection in ISAC with Identifiability Guarantees,” 58th Asilomar Conference, Pacific Grove, CA, 2024, pp. 90–94. [Link]
  91. Parthasarathi Khirwadkar, Bhaskar D. Rao and Piya Pal, “Model-based Online Millimeter-wave Channel Sensing with Learned Empirical Priors,” ICASSP 2025, Hyderabad, India, pp. 1–5. [Link]
  92. Yinyan Bu, Jiajie Yu and Piya Pal, “Prediction-driven Untrained Network for Single-snapshot Sparse Array Interpolation,” ICASSP 2025, Hyderabad, India, pp. 1–5. [Link]