Posters on any research topic related to the MISC Workshop may be submitted, that is: Machine Learning, Information Theory, Signal Processing, and Communications.
Posters presenting work in progress are also welcome.
Interested participants should send by email the proposed title and abstract (between 100 and 150 words) of the poster. The title and abstract will be used to evaluate the acceptance or rejection of the poster for the event.
The following schedule will apply to the submission and preparation of posters:
18 December 2025 – Deadline for the first round of submissions of poster title and abstract by email.
19 December 2025 – Notification of acceptance/rejection of posters submitted in the first round.
15 January 2026 (EXTENDED) – Only if there is still space to include more posters in the event, deadline for the second round of submissions of poster title and abstract by email.
16 January 2026 (EXTENDED) – Notification of acceptance/rejection of posters submitted in the second round.
16 January 2026 – Final day to send by email the digital file of the accepted poster in PDF format.
19 January 2026 – In-person poster presentation day at the MISC Workshop.
All accepted posters must be presented in person by one of the authors.
Unless the authors explicitly state otherwise, all accepted and presented posters will be published on this website.
Due to the high volume of requests received, the organizers have decided not to publish the poster PDFs on the MISC Workshop website. Only the titles and authors will be published.
All posters must be in A0 size, portrait format, and printing costs must be covered by the authors.
A Hierarchical Framework for Fair and Efficient Distributed Inference at the Edge, Michele Simeone, IMDEA Networks
Análisis de Eficiencia Espectral en Redes 5G Emuladas bajo Condiciones de Fading Dinámico, José Antonio Bravo Romero, Juan E. Galeote-Cazorla, Asier Serrano Martín, Juan Fco. Valenzuela Valdés y Jesús Manuel Calle Cancho, Univ. Extremadura and Univ. Granada
Análisis estadístico del tráfico de red como herramienta de detección de ataques de reconocimiento. Asier Serrano Martín, David Cortés Polo, José Antonio Bravo Romero, Jesús Calle Cancho, Mihaela I. Chidean, Univ. Extremadura and Univ. Rey Juan Carlos
Quantifying Temporal Variability in Smart Farming*, Yolanda Carrión-García, José Ramón Torres-Martín, Inmaculada Mora-Jiménez, José Manuel Velarde-Gestera, Mihaela I. Chidean, Univ. Rey Juan Carlos and Drimay Consultores SL
L-Moments for Climate Time Series Completion*, Yolanda Carrión-García, José Ramón Torres-Martín, Inmaculada Mora-Jiménez, José Manuel Velarde-Gestera, Mihaela I. Chidean, Univ. Rey Juan Carlos and Drimay Consultores SL
On the relevance of proximal sensor data to identify plant diseases*, Laura Teresa Martínez-Marquina, José Ramón Torres-Martín, José Manuel Velarde-Gestera, Miguel Román-Écija, Guillermo León-Ropero, José Luis Trapero-Casas, Juan Antonio Navas-Cortés, Mihaela I. Chidean, Inmaculada Mora-Jiménez, Univ. Rey Juan Carlos, CSIC-IAS and Drimay Consultores SL
Hybrid artificial intelligence models for evapotranspiration forecasting under incomplete climatic data*, O. Generoso, J.R. Torres, C. Simón de Blas, J.M. Velarde, A.E. Sipols, Univ. Rey Juan Carlos
Proactive Mobility and Radio Link Quality Management in O-RAN Using Temporal RSRP Analysis and Near-RT RIC xApps, Juan Luis Arenas-Sánchez, Javier Carmona-Murillo, Jesús Galeano-Brajones, Univ. Extremadura and Univ. Sevilla
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* This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities through the CDTI with grant number EXP- 00146371/MIG-20211037 (KODA-IPEC)