Roman Alejandro Jacome Carrascal

I am a Ph.D. student in electronics engineering at the Universidad Industrial de Santander (UIS), where I work with Prof. Henry Arguello on computational imaging, signal processing, imaging inverse problems, and integrated sensing and communications (ISAC). My research studies how optical coding, inverse-problem algorithms, learning-driven optimization, reinforcement learning approaches for designining new solvers that can make sensing systems more efficient and reliable.

News

  • CVPR 2026: paper accepted (GSNR: Graph Smooth Null-Space Representation for Inverse Problems) and recognized as an Outstanding Reviewer (top 5%).
  • ICASSP 2026: accepted work on performance bounds for relative-phase estimation in multi-agent wireless systems.
  • IEEE TGRS: new journal paper on optically authenticated hyperspectral imaging.
  • NeurIPS 2025: accepted work on non-linear projections of the null space for imaging inverse problems.
  • ICASSP 2025: IEEE ICASSP 2025 Student Travel Grant and four accepted papers.

Research Focus

  • Learned regularization and preconditioning techniques for imaging inverse problems.
  • Reinforcement learning and agentic AI for designing new inverse problems solvers.
  • Computational imaging hardware that jointly optimizes optics and reconstruction networks.

Highlighted Papers

CVPR 2026 Conference 2026

GSNR: Graph Smooth Null-Space Representation for Inverse Problems

Romario Gualdron, Roman Jacome, Rafael S. Suarez, Henry Arguello

A graph-smoothness prior on the null-space representation that stabilizes reconstructions for imaging inverse problems.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

NeurIPS 2025 Conference 2025

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems

Roman Jacome, Romario Gualdron, Leon Suarez, Henry Arguello

Learning non-linear projections of the sensing null-space to recover information classical methods cannot.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

IEEE Transactions on Computational Imaging Journal 2025

Distilling Knowledge for Designing Computational Imaging Systems

Leon Suarez-Rodriguez, Roman Jacome, Henry Arguello

Knowledge-distillation strategies that transfer performance from unconstrained teacher systems to manufacturable optical designs.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

IEEE Transactions on Geoscience and Remote Sensing Journal 2025

Optically Authenticated Hyperspectral Imaging: Detection and Restoration of Manipulated Data

Pablo Gomez, Roman Jacome, Hans Garcia, Iñaki Esnaola, Henry Arguello

An optical authentication framework that detects manipulated hyperspectral data and restores the original signal.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

IEEE Signal Processing Magazine Journal 2024

An Invitation to Hypercomplex Phase Retrieval: Theory and Applications

Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello

A tutorial-style overview of phase retrieval over hypercomplex algebras, with theory, algorithms, and applications.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

IEEE Journal of Selected Topics in Signal Processing Journal 2024

DoDo: Double DOE Optical System for Multishot Spectral Imaging

Sergio Urrea, Roman Jacome, M. Salman Asif, Henry Arguello, Hans Garcia

A double diffractive-optical-element system enabling high-fidelity multishot spectral imaging.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

Optica Journal 2023

Middle Output Regularized End-to-End Optimization for Computational Imaging

Roman Jacome, Pablo Gomez, Henry Arguello

Regularizing intermediate outputs of end-to-end optimized systems to improve the joint design of optics and reconstruction networks.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

IEEE Journal of Selected Topics in Signal Processing Journal 2022

D²UF: Deep Coded Aperture Design and Unrolling Algorithm for Compressive Spectral Image Fusion

Roman Jacome, Jorge Bacca, Henry Arguello

Joint coded-aperture design and unrolling reconstruction for fusing compressive spectral measurements.

Add more information here: key results, figures, poster/slides links, or a short description of the method.

See the publications page for the full list of journal and conference papers.

Teaching & Mentorship

I have lectured the undergraduate Numerical Methods course at UIS (2024-II and 2025-I) and served on the graduate Digital Signal Processing teaching team (2024-II). I also mentor undergraduate researchers working on computational imaging and learning-based inverse problems.

Service

I review for IEEE JSTSP, Optics Express, IEEE Transactions on Communications, TMLR, CVPR (Outstanding Reviewer 2026, top 5%), ICCV, BMVC, and NeurIPS.