| 2025 | EMNLP | Real, Fake, or Manipulated? Detecting Machine-Influenced Text. | Yitong Wang, Zhongping Zhang, Margherita Piana, Zheng Zhou, Peter Gerstoft, Bryan A. Plummer |
| 2025 | ICASSP | 3D TDOA-AOA Quaternion Based Acoustic SLAM for Drone Localization and Source Mapping. | Hala Abualsaud, Peter Gerstoft |
| 2025 | ICASSP | Atom-Constrained Maximum Likelihood Gridless DOA with Wirtinger Gradients. | Peter Gerstoft, Yongsung Park |
| 2025 | ICASSP | Sequential DOA Trajectory Estimation using Deep Complex Network and Residual Signals. | Shreyas Jaiswal, Peter Gerstoft, Santosh Nannuru |
| 2025 | ICASSP | Real-time Adversarial Attack to Deep Learning-based Wi-Fi Human Activity Recognition. | Byungjun Kim, Amogh Panchagatti, Peter Gerstoft |
| 2025 | ICASSP | Basis Function Learning for Variable-Length and Continuous-Indexed Signals. | Siyuan Li, Lei Cheng, Feng Yin, Jianlong Li, Peter Gerstoft |
| 2025 | ICASSP | Physics-Informed Neural Networks for Ocean Acoustic Field Prediction with Envelope Smoothing. | Yongsung Park, Peter Gerstoft, Seunghyun Yoon, Woojae Seong |
| 2024 | ACSSC | Channel Estimation in Time-Varying Ocean Environments Using OTFS Modulation. | Amogh Panchagatti, Byungjun Kim, Peter Gerstoft, Christoph F. Mecklenbrukcr |
| 2024 | ACSSC | Multipole Source Capture Using Multiple Dictionary Sparse Bayesian Learning. | Alex Tung, Peter Gerstoft |
| 2024 | ICASSP | Bayesian Optimization with Gaussian Processes for Robust Localization. | William F. Jenkins, Peter Gerstoft |
| 2024 | ICASSP | Multi-Source DOA Estimation With Statistical Coverage Guarantees. | Ishan D. Khurjekar, Peter Gerstoft |
| 2024 | ICASSP | Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA. | Yifan Wu, Michael B. Wakin, Peter Gerstoft, Yongsung Park |
| 2024 | ICASSP | Fusion of Multi-Resolution Seismic Tomography Maps with Physics-Informed Probability Graphical Models. | Zheng Zhou, Peter Gerstoft, Kim Olsen |
| 2024 | INFOCOM | Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing. | Byungjun Kim, Christoph F. Mecklenbruker, Peter Gerstoft |
| 2024 | WCNC | Spoofing Attack Detection in the Physical Layer with Robustness to User Movement. | Daniel Romero, Tien Ngoc Ha, Peter Gerstoft |
| 2023 | COMSNETS | Data Centric Approach to Modulation Classification. | Venkatesh Sathyanarayanan, Peter Gerstoft, Aly El Gamal |
| 2023 | ICASSP | Direction-of-Arrival Estimation Using Gaussian Process Interpolation. | Ishan D. Khurjekar, Peter Gerstoft, Christoph F. Mecklenbruker, Zoi-Heleni Michalopoulou |
| 2023 | ICASSP | Deep Learning-Based Modulation Classification for OFDM Systems Without Symbol-Level Synchronization. | Byungjun Kim, Venkatesh Sathyanarayanan, Christoph F. Mecklenbruker, Peter Gerstoft |
| 2023 | ICASSP | SD-PINN: Physics Informed Neural Networks for Spatially Dependent PDES. | Ruixian Liu, Peter Gerstoft |
| 2023 | ICASSP | Empiric Bayesian Inversion of Evaporation Ducts From Synthetic Phased-Array Data. | Ted Rogers, Peter Gerstoft |
| 2023 | MSWIM | Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum Sensing. | Byungjun Kim, Christoph F. Mecklenbruker, Peter Gerstoft |
| 2022 | ACSSC | High Resolution Spectral Analysis and Signal Segregation Using the Polyphase Channelizer. | Richard Bell, Fredric J. Harris, Peter Gerstoft, Dinesh Bharadia |
| 2022 | ICASSP | Semi-Supervised Source Localization With Residual Physical Learning. | Michael J. Bianco, Peter Gerstoft |
| 2022 | ICASSP | Data-Driven Spatially Dependent PDE Identification. | Ruixian Liu, Michael J. Bianco, Peter Gerstoft, Bhaskar D. Rao |
| 2022 | ICASSP | DOA M-Estimation Using Sparse Bayesian Learning. | Christoph F. Mecklenbruker, Peter Gerstoft, Esa Ollila |
| 2022 | ICASSP | Learning-Aided Initialization for Variational Bayesian DOA Estimation. | Yongsung Park, Florian Meyer, Peter Gerstoft |
| 2022 | ICASSP | Memory in Echo State Networks and the Controllability Matrix Rank. | Brian Whiteaker, Peter Gerstoft |
| 2022 | ICASSP | Gridless DOA Estimation Under the Multi-Frequency Model. | Yifan Wu, Michael B. Wakin, Peter Gerstoft |
| 2021 | ACSSC | Novel Training Methodology to Enhance Deep Learning Based Modulation Classification. | Venkatesh Sathyanarayanan, Ankush Jolly, Peter Gerstoft |
| 2021 | ICASSP | Alternating Projections Gridless Covariance-Based Estimation For DOA. | Yongsung Park, Peter Gerstoft |
| 2021 | ICASSP | Leaky Integrator Dynamical Systems and Reachable Sets. | Brian Whiteaker, Peter Gerstoft |
| 2021 | ICASSP | SSLIDE: Sound Source Localization for Indoors Based on Deep Learning. | Yifan Wu, Roshan Sai Ayyalasomayajula, Michael J. Bianco, Dinesh Bharadia, Peter Gerstoft |
| 2020 | ACSSC | Sparse Approximation of an Outdoor-to-Indoor Massive MIMO Channel Measurement. | Herbert Groll, Daniel Schtzenhfer, Stefan Pratschner, Peter Gerstoft, Christoph F. Mecklenbruker |
| 2020 | ACSSC | Sequential Sparse Bayesian Learning For Doa. | Yongsung Park, Florian Meyer, Peter Gerstoft |
| 2020 | ACSSC | Over The Air Performance of Deep Learning for Modulation Classification across Channel Conditions. | Venkatesh Sathyanarayanan, Mark Wagner, Peter Gerstoft |
| 2020 | FUSION | Variational Bayesian Estimation of Time-Varying DOAs. | Florian Meyer, Yongsung Park, Peter Gerstoft |
| 2020 | ICASSP | Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization. | Yongsung Park, Peter Gerstoft |
| 2019 | ACSSC | Wave Equation Extraction from A Video Using Sparse Modeling. | Ruixian Liu, Michael J. Bianco, Peter Gerstoft |
| 2019 | ICASSP | 2D Beamforming on Sparse Arrays with Sparse Bayesian Learning. | Santosh Nannuru, Peter Gerstoft |
| 2019 | ICASSP | Gridless DOA Estimation via. Alternating Projections. | Mark Wagner, Peter Gerstoft, Yongsung Park |
| 2018 | ACSSC | Array Shape Calibration Using Low Rank Projections. | Mark Wagner, Michael Bianco, Santosh Nannuru, Peter Gerstoft |
| 2018 | ICASSP | Adaptive Travel Time Tomography with Local Sparsity. | Michael Bianco, Peter Gerstoft |
| 2018 | ICASSP | Doa Estimation in Heteroscedastic Noise with Sparse Bayesian Learning. | Peter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbruker, Geert Leus |
| 2017 | ICASSP | Regularization of geophysical inversion using dictionary learning. | Michael Bianco, Peter Gerstoft |
| 2017 | ICASSP | Sparse Bayesian learning with uncertain sensing matrix. | Santosh Nannuru, Peter Gerstoft, Kay L. Gemba |
| 2016 | ITA | Locating sources in a dense array through network-based clustering. | Nima Riahi, Peter Gerstoft |
| 2015 | ACSSC | Multiple snapshot compressive beamforming. | Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbruker, Erich Zchmann |
| 2013 | ACSSC | Oceansub-bottom sensing using randommatrixmodels. | Ravishankar Menon, Peter Gerstoft, William S. Hodgkiss |
| 2012 | ACSSC | Session TA8a1: Array signal processing II. | Peter Gerstoft |
| 2012 | ACSSC | Bayesian sparse sensing of the Japanese 2011 earthquake. | Peter Gerstoft, Christoph F. Mecklenbruker, Huajian Yao |
| 2012 | ACSSC | Localization of acoustic sources utilizing a decentralized particle filter. | Florian Xaver, Gerald Matz, Peter Gerstoft, Norbert Goertz |
| 2012 | ICASSP | Predictive state vector encoding for decentralized field estimation in sensor networks. | Florian Xaver, Gerald Matz, Peter Gerstoft, Christoph F. Mecklenbruker |
| 1999 | ICASSP | Source and environmental parameter estimation using electromagnetic matched field processing. | Peter Gerstoft, Donald F. Gingras |
| 1997 | ICASSP | Electromagnetic matched field processing for source localization. | Donald F. Gingras, Peter Gerstoft, Neil L. Gerr, Christoph F. Mecklenbruker |
| 1997 | ICASSP | Generalized likelihood ratio test for selecting a geo-acoustic environmental model. | Christoph F. Mecklenbruker, Peter Gerstoft, Pei-Jung Chung, Johann F. Bhme |