Creating and sharing knowledge for telecommunications

12th International Conference on Pattern Recognition Applications and Methods (ICPRAM)

on 22-02-2023

... The 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM) will take place in Lisbon, Portugal, on 22-24 February 2023.

ICPRAM is a major point of contact between researchers, engineers, and practitioners in the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives. Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, and experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of ICPRAM with an ISBN. Acceptance will be based on quality, relevance, and originality. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.

ICPRAM is chaired by Ana Fred, researcher at Instituto de Telecomunicações and Professor at Instituto Superior Técnico, Portugal, and co-chaired by Maria De Marsico, Sapienza Università di Roma, Italy, and Gabriella Sanniti di Baja, Italian National Research Council CNR, Italy.

Conference areas:

Advanced Learning Methods
Linear Models and Dimensionality Reduction
Machine Learning Methods
Model Representation and Selection
Shape Representation
Signal Processing
Bayesian Models and Stochastic Methods
Classification and Clustering
Deep Learning and Neural Networks
Ensemble Methods
Feature Selection and Extraction
Knowledge Acquisition and Representation

Audio and Speech Analysis
Motion Tracking and Action Recognition
Natural Language Processing
Sensors and Early Vision
Virtual Environments
Bioinformatics and Systems Biology
Data Mining and Algorithms for Big Data
Document Analysis
Image and Video Analysis and Understanding
Industry Related Applications
Information Retrieval
Medical Imaging

Regular Papers
Paper Submission: October 10, 2022
Authors Notification: December 6, 2022
Camera Ready and Registration: December 20, 2022

Position Papers
Paper Submission: November 17, 2022
Authors Notification: December 22, 2022
Camera Ready and Registration: January 9, 2023

Doctoral Consortium
Paper Submission: January 2, 2023
Authors Notification: January 13, 2023
Camera Ready and Registration: January 23, 2023

Tutorial Proposal: January 13, 2023

Demo Proposal: January 13, 2023

Panel Proposal: January 13, 2023

Abstract Submission: January 2, 2023
Authors Notification: January 13, 2023
Camera Ready and Registration: January 23, 2023

ICPRAM is sponsored by INSTICC – Institute for Systems and Technologies of Information, Control and Communication.

Further on how to submit your paper:
More Information..

Wave-Controlled Metasurface-based Reconfigurable Intelligence Surfaces

on 04-01-2023

... ComSoc PT Chapter and IEEE VTS PT Chapter, and Instituto de Telecomunicações, are inviting you to the talk entitled “Wave-Controlled Metasurface-based Reconfigurable Intelligence Surfaces”, which will be presented online by Professor Ender Ayanoglu of the University of California Irvine.

Reconfigurable Intelligent Surfaces (RISs) are programmable metasurfaces that can adaptively steer received electromagnetic energy in desired directions by employing controllable phase-shifting cells. Among other uses, an RIS can modify the propagation environment to provide wireless access to user locations that are not otherwise reachable by a base station. Alternatively, an RIS can steer the waves away from particular locations in space, to eliminate interference and allow for the co-existence of the wireless network with other types of fixed wireless services (e.g., radars, unlicensed radio bands, etc.). The novel approach presented in this talk is a wave-controlled architecture that properly accounts for the maximum possible change in the local reflection phase that can be achieved by adjacent RIS elements. It obviates the need for dense wiring and signal paths that would be required for individual control of every RIS element, and thus offers a substantial reduction in the required hardware. We specify this wave-controlled RIS architecture in detail and discuss signal processing and machine learning methods that exploit it in both point-to-point and multi-cell MIMO systems. Such implementations can lead to a dramatic improvement in next-generation wireless, radar, and navigation systems where RIS finds wide applications. They have the potential to improve the efficiency of spectrum utilization and coexistence by orders of magnitude.

Ender Ayanoglu has been a Professor in the Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, where he served as the Center for Pervasive Communications Director and Computing and held the Conexant-Broadcom Endowed Chair. His past accomplishments include the invention of the 56K modems, the characterization of wavelength conversion gain in Wavelength Division Multiplexed (WDM) systems, and diversity coding, a technique for link failure recovery in communication networks employing erasure coding introduced in 1990, prior to the publication of the first papers on network coding. He served as the Editor-in-Chief of the IEEE Transactions on Communications from 2004 to 2008. From January 2015 until December 2016, he served as the Editor-in-Chief of the IEEE Journal on Selected Areas in Communications - Series on Green Communications and Networking.

When: 04 January of 2023, from 4:00 pm to 6:00 pm (UTC+00:00) Lisbon time.

Hosts: Luís Bernardo & Daniel Corujo

Participation through the Zoom URL:

Meeting ID: 921 0531 3378
Password: 582517 More Information..