IEEE CAMSAP 2023 is holding a contest to select the Best Student Paper of the workshop among the papers submitted by graduate or undergraduate students. The first author of each of these papers should be a full-time student at the time of manuscript submission to IEEE CAMSAP 2023. The finalists must present their work in a special poster session, scheduled for Sunday, December 10, 2023, at 5:00 p.m.

List of winners:
First Prize. Paris Karakasis and Nikolaos D. Sidiropoulos: ``Clustering on the Stiefel Manifold With Symmetric Block Term Decomposition''
Second Prize. Lukas Schynol and Marius Pesavento: ``Deep Unrolling for Anomaly Detection in Network Flows''
Third Prize. Damian Owerko , Charilaos I. Kanatsoulis, Jennifer Bondarchuk, Donald Bucci, and Alejandro Ribeiro: ``Multi-Target Tracking With Transferable Convolutional Neural Networks''


List of finalists:
- ``Dynamic Tomography Reconstruction via Low-Rank Modeling With a RED Spatial Prior'' by Berk Iskender, Yoram Bresler, Marc L. Klasky
- ``Clustering on the Stiefel Manifold With Symmetric Block Term Decomposition'' by Paris Karakasis, Nikolaos D Sidiropoulos
- ``Array Calibration Using Neural Network '' by Jannik Springer, Marc Oispuu, Wolfgang Koch, Peter Knott
- ``Multi-Target Tracking With Transferable Convolutional Neural Networks'' by Damian Owerko, Charilaos I. Kanatsoulis, Jennifer Bondarchuk; Donald Bucci; Alejandro Ribeiro
- ``Highly-Accelerated High-Resolution Multi-Echo fMRI Using Self-Supervised Physics-Driven Deep Learning Reconstruction '' by Merve Gulle; Mehmet Akcakaya; Omer Burak Demirel; Logan Dowdle; Steen Moeller; Essa Yacoub; Kamil Ugurbil
- ``Bayesian Self-Supervised Learning Using Local and Global Graph Information'' by Konstantinos D. Polyzos; Alireza Sadeghi; Georgios B. Giannakis
- ``RIS-Assisted Joint Preamble Detection and Localization'' by Pooja Nuti; Kyeong Jin Kim; Pu Wang; Toshiaki Koike-Akino; Kieran Parsons
- ``Preserving Privacy in Distributed LASSO'' by Wen Zhang; Yufan Fan; Marius Pesavento
- ``Convergence of Nonconvex PnP-ADMM With MMSE Denoisers'' by Chicago Park, Shirin Shoushtari; Weijie Gan; Ulugbek S. Kamilov
- ``Deep Unrolling for Anomaly Detection in Network Flows'' by Lukas Schynol, Marius Pesavento