João Pedro Pavia

Assistant Professor

ISCTE-Instituto Universitário de Lisboa

Portugal

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João Pedro Pavia is an Assistant Professor at ISCTE – Instituto Universitário de Lisboa, Portugal. His research areas include vulnerability detection in web applications, advanced communication technologies for beyond 5G networks, and efficient object detection systems for industrial applications. He has contributed to recent articles focusing on massive MIMO, reconfigurable intelligent surfaces, and system-level assessments for emerging telecommunications scenarios.

Articles (13)

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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ISCTE-Instituto Universitário de Lisboa

PORTUGAL

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João Pedro Pavia

Research Interests

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Articles (13)

System-Level Assessment of Massive Multiple-Input–Multiple-Output and Reconfigurable Intelligent Surfaces in Centralized Radio Access Network and IoT Scenarios in Sub-6 GHz, mm-Wave, and THz Bands

Intelligent Platform for Automating Vulnerability Detection in Web Applications

YOLOX-Ray: An Efficient Attention-Based Single-Staged Object Detector Tailored for Industrial Inspections

Performance Assessment of a RIS-empowered post-5G/6G network operating at the mmWave/THz bands

Performance Assessment of a RIS-Empowered Post-5G/6G Network Operating at the mmWave/THz Bands

System-Level Assessment of Low Complexity Hybrid Precoding Designs for Massive MIMO Downlink Transmissions in Beyond 5G Networks

System-Level Assessment of a C-RAN based on Generalized Space–Frequency Index Modulation for 5G New Radio and Beyond

Phase Shift Optimization Algorithm for Achievable Rate Maximization in Reconfigurable Intelligent Surface-Assisted THz Communications

Low Complexity Hybrid Precoding Designs for Multiuser mmWave/THz Ultra Massive MIMO Systems

A Generalized Space-Frequency Index Modulation Scheme for Downlink MIMO Transmissions With Improved Diversity

A generalized space-frequency index modulation scheme for downlink MIMO transmissions with improved diversity

Design of a reconfigurable THz filter based on metamaterial wire resonators with applications on sensor devices

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

Collaborators (6)

Marco Ribeiro

Vasco Velez

Americo Correia

Nuno Souto

Octavian Postolache

António Raimundo

Make your next move.

João Pedro Pavia

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

System-Level Assessment of Massive Multiple-Input–Multiple-Output and Reconfigurable Intelligent Surfaces in Centralized Radio Access Network and IoT Scenarios in Sub-6 GHz, mm-Wave, and THz Bands

Intelligent Platform for Automating Vulnerability Detection in Web Applications

YOLOX-Ray: An Efficient Attention-Based Single-Staged Object Detector Tailored for Industrial Inspections

Performance Assessment of a RIS-empowered post-5G/6G network operating at the mmWave/THz bands

Performance Assessment of a RIS-Empowered Post-5G/6G Network Operating at the mmWave/THz Bands

System-Level Assessment of Low Complexity Hybrid Precoding Designs for Massive MIMO Downlink Transmissions in Beyond 5G Networks

System-Level Assessment of a C-RAN based on Generalized Space&ndash;Frequency Index Modulation for 5G New Radio and Beyond

Phase Shift Optimization Algorithm for Achievable Rate Maximization in Reconfigurable Intelligent Surface-Assisted THz Communications

Low Complexity Hybrid Precoding Designs for Multiuser mmWave/THz Ultra Massive MIMO Systems

A Generalized Space-Frequency Index Modulation Scheme for Downlink MIMO Transmissions With Improved Diversity

A generalized space-frequency index modulation scheme for downlink MIMO transmissions with improved diversity

Design of a reconfigurable THz filter based on metamaterial wire resonators with applications on sensor devices

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

Collaborators (6)

Marco Ribeiro

Vasco Velez

Americo Correia

Nuno Souto

Octavian Postolache

António Raimundo

Make your next move.

System-Level Assessment of a C-RAN based on Generalized Space–Frequency Index Modulation for 5G New Radio and Beyond