Academic advising – Projeto ICoNIoT

2024

Completed Advising and Supervision

Postdoctoral

Camila De Paoli Leporace. . 2024. (Postdoctoral supervision) – Institute of Computing – UNICAMP. (Advisor: Nlson Luis Saldanha da Fonseca).

Doctorate

Diogo Machado Gonçalves. Dynamic Network Slicing for User Mobility Support in 5G Networks. 2024. (PhD thesis in Computer Science) – State University of Campinas, Coordination for the Improvement of Higher Education Personnel. (Advisor: Marcelo Gonçalves Rubinstein).

Edvar Afonso Luciano Filho. Opportunistic Collection with Data Source Selection in IoT Networks. 2024. (PhD thesis in Electrical Engineering) – Federal University of Rio de Janeiro. (Advisor: Miguel Elias Mitre Campista)

Helio do Nascimento Cunha Neto. Providing a Collaborative and Private Solution for Intrusion Detection System with Federated Learning. 2024. (PhD thesis in Electrical Engineering and Telecommunications) – Fluminense Federal University, Coordination for the Improvement of Higher Education Personnel. (Advisor: Diogo Menezes Ferrazani Mattos).

Pedro Silveira Pisa. Identification and Prediction of Recurring Permission Distribution Patterns in Access Control to Cloud Computing Services. 2024. (PhD thesis in Electrical Engineering and Telecommunications) – Fluminense Federal University. (Advisor: Diogo Menezes Ferrazani Mattos).

Paulo Sena Ferreira Filho. DATA CACHING POLICIES IN NETWORKS WITH UNTRUSTED CHANNELS. 2024. (PhD thesis in the Graduate Program in Computer Science) – Federal University of Pará, Coordination for the Improvement of Higher Education Personnel. (Advisor: Antonio Jorge Gomes Abelém)

Ekler Paulino de Mattos. Smart Privacy: An Anonymization-based Framework for Smart Mobility Open Data. 2024. (PhD thesis in Computer Science) – Federal University of Minas Gerais. (Advisor: Antonio Alfredo Ferreira Loureiro).

Clayson Sandro Francisco de Sousa Celes. Mobility Trace Analysis in the Design of Vehicular Networks. 2024. (PhD thesis in Computer Science) – Federal University of Minas Gerais, National Council for Scientific and Technological Development. (Advisor: Antonio Alfredo Ferreira Loureiro).

LUCAS DE LIMA BASTOS. CLASSIFICATION AND CHARACTERIZATION METHODS OF NON-TECHNICAL LOSSES ON SMART GRID SCENARIOS. 2024. (PhD thesis in the Graduate Program in Electrical Engineering) – Federal University of Pará. (Advisor: Eduardo Coelho Cerqueira).

Dener Edson Ottolini Guedes da Silva. A multi-layer architecture for end-to-end Internet of Things systems management with cloud, fog, and mist. 2024. (PhD thesis in Information Engineering) – Federal University of ABC. (Advisor: Carlos Alberto Kamienski).

Filipe Augusto da Luz Lemos. MEMORY MONITORING TO INCREASE SECURITY IN NETWORKS: A PROPOSAL IN SOFTWARE-DEFINED NETWORKS. 2024. (PhD thesis in Electrical and Industrial Informatics Engineering) – Federal Technological University of Paraná. (Co-advisor: Mauro Sergio Pereira Fonseca).

Julia Silva Weber. Applying Anomaly Detection Techniques with Edge-RSU for Enhancing VANET Safety. 2024. (PhD thesis in Computer Science) – Pontifical Catholic University of Rio Grande do Sul, Coordination for the Improvement of Higher Education Personnel. (Advisor: Tiago Coelho Ferreto)

Ricardo Parizotto. In-network computing: overcoming constraints, failures, and configuration challenges. 2024. (PhD thesis in PPGC – Graduate Program in Computing, UFRGS) – Federal University of Rio Grande do Sul, National Council for Scientific and Technological Development. (Advisor: Alberto Egon Schaeffer Filho)

Lucas de Lima Bastos. Classification and Characterization Methods of Non-Technical Losses on Smart Grid Scenarios. 2024. (PhD thesis in Electrical Engineering) – Federal University of Pará. (Co-advisor: Denis Lima do Rosário)

Fernando Kanayama de Queiroz. Adaptive Management for Resilient Internet of Health Things Communication. 2024. (PhD thesis in Informatics) – Federal University of Paraná. (Advisor: Michele Nogueira Lima).

Anderson Neira. Prediction of DDoS Attacks by Early Warning Signals. 2024. (PhD thesis in Informatics) – Federal University of Paraná, National Research Network. (Advisor: Michele Nogueira Lima).
Julio César Huarachi Soto. A Methodology for Real-time Indoor Human Presence Detection and Individual Identification Based on Wi-Fi Channel State Information. 2024. (PhD thesis in Computing) – Fluminense Federal University, National Council for Scientific and Technological Development. (Co-advisor: Célio Vinicius Neves de Albuquerque).

David Alain do Nascimento. Enabling TSN Scheduled Traffic on Ethernet Multidrop In-Vehicle. 2024. (PhD thesis in Computer Science) – Federal University of Pernambuco. (Advisor: Divanilson Rodrigo de Sousa Campelo).

Master’s

Rafael Augusto Marques da Costa. Routing, Modulation Level, and Spectrum Allocation in Elastic Optical Networks via Genetic Algorithm. 2024. (Master’s thesis in Electronic Engineering) – State University of Rio de Janeiro. (Advisor: Marcelo Gonçalves Rubinstein)

Giuliano Prestes Fittipaldi. Federated Learning over Vehicular Traffic Patterns. 2024. (Master’s thesis in Electrical Engineering) – Federal University of Rio de Janeiro, Coordination for the Improvement of Higher Education Personnel. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Marcelo Claudio Sousa Araújo. Virtualization performance evaluation: Intel Xeon and IBM Power8 architectures. 2024. (Master’s thesis in Computer Science) – State University of Campinas, Unicamp Development Foundation. (Advisor: Luiz Fernando Bittencourt).

Rómulo Walter Condori Bustincio. Strategies for Reducing Communication Overhead in Federated Learning. 2024. (Master’s thesis in Computer Science) – State University of Campinas, Unicamp Development Foundation. (Advisor: Luiz Fernando Bittencourt).

Mateus da Silva Gilbert. DNN Architectures for Resource-constrained Devices and Latency-sensitive Applications. 2024. (Master’s thesis in Electrical Engineering) – Federal University of Rio de Janeiro, National Council for Scientific and Technological Development. (Advisor: Miguel Elias Mitre Campista)

Rodrigo Rocha Pinto. Development and Evaluation of LoRa and LoRaWAN Networks for the Internet of Things. 2024. (Master’s thesis in Computer Science) – Federal University of São João Del-Rei. (Advised by: Daniel Ludovico Guidoni).

Luan C. da S. Casagrande. Combining UAV and Multi-Source Satellite Data for Sub-Pixel Classification of Forest Vegetation in Riparian Zones. 2024. (Master’s thesis in Computer Science) – University of São Paulo. (Advisor: Roberto Hirata Junior).

Giuliano Prestes Fittipaldi. Federated Learning over Vehicular Network Traffic Patterns. 2024. (Master’s thesis in Electrical Engineering) – Federal University of Rio de Janeiro, Coordination for the Improvement of Higher Education Personnel. (Advisor: Rodrigo de Souza Couto).

Marcelo Almeida da Silva. LinkPerfResolv: analyzing the performance of public DNS resolvers in relation to domain popularity. 2024. (Master’s thesis in PPGC – Graduate Program in Computing, UFRGS) – Federal University of Rio Grande do Sul, National Council for Scientific and Technological Development. (Advisor: Lisandro Zambenedetti Granville).

Rómulo Walter Condori Bustincio. Strategies to Reduce Communication Cost in Federated Learning. 2024. (Master’s thesis in Computer Science) – State University of Campinas, Funcamp. (Co-advisor: Allan Mariano de Souza).

PAULO EUGENIO DA COSTA FILHO. Intelligent Fault Control in Smart Grids by AIoT. 2024. (Master’s thesis in the Graduate Program in Computer Systems) – Federal University of Rio Grande do Norte, Research Support and Development Foundation. (Co-advisor: Augusto José Venâncio Neto).

CHARLES HALLAN FERNANDES DOS SANTOS. Orchestration and Management of Network Slices via Deep Learning. 2024. (Master’s thesis in the Graduate Program in Computer Systems) – Federal University of Rio Grande do Norte, North Rio Grande Foundation for Research and Culture. (Advisor: Augusto José Venâncio Neto)

Felipe Morais da Silva. Managing Long-Running Asynchronous Tasks in Multi-tenant Microservices. 2024. (Master’s thesis in Systems and Computing) – Federal University of Rio Grande do Norte. (Advisor: Thais Vasconcelos Batista).

JOHN LUCAS RODRIGUES PORTILHO DE SOUSA. ENTROPY-BASED CLIENT SELECTION STRATEGY FOR FEDERATED LEARNING OVER VEHICULAR NETWORK ENVIRONMENTS. 2024. (Master’s thesis in the Graduate Program in Electrical Engineering) – Federal University of Pará. (Advisor: Eduardo Coelho Cerqueira).

Ivo Gabriel de Abreu Nicolaio. Application of techniques for anomaly detection. 2024. (Master’s thesis in Electrical and Industrial Informatics Engineering) – Federal Technological University of Paraná. (Co-advisor: Mauro Sergio Pereira Fonseca).

Lucas Roges de Araújo. DYNAMIC PROVISIONING OF CONTAINER REGISTRIES IN EDGE COMPUTING INFRASTRUCTURES. 2024. (Master’s thesis in Computer Science) – Pontifical Catholic University of Rio Grande do Sul, Dell Computadores do Brasil Ltda. (Advisor: Tiago Coelho Ferreto)

Henrique Becker Brum. LEVERAGING NETWORK-WIDE ORCHESTRATION IN PROGRAMMABLE NETWORKS FOR ENHANCED NIDS PERFORMANCE. 2024. (Master’s thesis in Computer Science) – Pontifical Catholic University of Rio Grande do Sul, Dell Computadores do Brasil Ltda. (Advisor: Tiago Coelho Ferreto)

John Lucas Rodrigues Portilho de Sousa. Entropy-based Client Selection Strategy for Federated Learning over Vehicular Network Environments. 2024. (Master’s thesis in Electrical Engineering) – Federal University of Pará, Coordination for the Improvement of Higher Education Personnel. (Co-advisor: Denis Lima do Rosário)

Thiago de Abreu Lima. Integrated Service Management Solution with Orchestration. 2024. (Master’s thesis in Systems and Computing) – Federal University of Rio Grande do Norte. (Advisor: Ramon dos Reis Fontes).

Alexandre de Faria Cardoso. A Heterogeneous Operating Mode for Scheduling-based Duty Cycle. 2024. (Master’s thesis in Computing) – Fluminense Federal University. (Co-advisor: Célio Vinicius Neves de Albuquerque).

Debora Guimarães de Oliveira. An Architecture for Dynamic Multipath Video Routing in Wireless Networks. 2024. (Master’s thesis in Computing) – Fluminense Federal University. (Advisor: Célio Vinicius Neves de Albuquerque)

Brenda Gomes Gouveia Dos Santos. Heartbeat Detection through Wi-Fi Signals. 2024. (Master’s thesis in Computing) – Fluminense Federal University, Coordination for the Improvement of Higher Education Personnel. (Advisor: Célio Vinicius Neves de Albuquerque).

Luigi Fernando Marques da Luz. Enhancing Cybersecurity of Automotive Ethernet Networks with Deep Learning-based Intrusion Detection Systems. 2024. (Master’s thesis in Computer Science) – Federal University of Pernambuco. (Advisor: Divanilson Rodrigo de Sousa Campelo).

Kétly Gonçalves Machado. Detection of DDoS attacks in IoT traffic using ensemble methods for continuous data stream classification. 2024. (Master’s thesis in Computer Science) – University of São Paulo, Coordination for the Improvement of Higher Education Personnel. (Advisor: Daniel Macêdo Batista)

Undergraduate Thesis

João Paulo Souza do Espírito Santos. Machine Learning in Intrusion Detection Systems: A Systematic View. 2024. (Undergraduate capstone in Computer Science) – State University of Southwest Bahia. (Advisor: Geraldo Pereira Rocha Filho).

Gabriel Parracho dos Santos Leal. From WDM to Elastic Optical Networks from an Energy Perspective. 2024. (Undergraduate thesis in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Rodrigo Wu Chang. Transmission Performance Analyzer in Optical Networks. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor).

Edilson Fernandes Pereira. Development of a Solution for Irrigation Management in Agricultural Crops Using LoRaWAN Networks and the Internet of Things. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Vinicius de Oliveira Avena. SCoDA: Self-supervised Contrastive Learning for Domain Adaptation. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro, National Council for Scientific and Technological Development. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Lucas de Queiroz dos Reis. Infrastructure Automation System for Edge Computing Applications. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Fernando Dias de Mello Silva. System for Statistical Analysis and Monitoring of Bus Fleets. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro, São Paulo Research Foundation. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Luigi Oses Cavazzani Andrade. Automatic Provisioning of High-Availability Applications in the Windows System. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Giuliano Prestes Fittipaldi. Vehicular Federated Learning for pedestrian detection under realistic image conditions. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Jonas Cardoso Gonçalves. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

João Víctor Dos Santos Oliveira. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Thiago dos Santos Solera. Performance analysis and feasibility of federated learning algorithms using Flower. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Pedro Strambeck Nogueira. Performance analysis and feasibility of federated learning algorithms using Flower. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Bruno Henrique Emidio Leite. Impact of Differential Privacy on distance-measurement techniques. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Daniel Mendes Dos Santos. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Lindon Jonathan Sanley Santos P. Monroe. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Victor Agozzini Scholze. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Igor Fernando Mandello. On-demand replica distribution for emerging software. 2024. (Undergraduate capstone in Computer Science) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Fernando dos Reis Santos Filho. Energy Performance Analysis in Autonomous Drone Fleets. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

João Augusto Rosa Feltran. Internet of Things and computer vision for beehive monitoring and bee flow counting. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

João Miguel De Oliveira Guimarães. Internet of Things and computer vision for beehive monitoring and bee flow counting. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Leonardo De Queiroz Borges. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

José Felipe Theodoro. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Renan Luis Moraes De Sousa. Internet of Things and computer vision for beehive monitoring and bee flow counting. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Caio Vinicius Menezes Gomes. Beehive Monitoring with the Internet of Things. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

César Devens Grazioti. Content Steering Simulations: exploring Continuous Computing and Reinforcement Learning to support Adaptive Video Streaming. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Tobias Conran Zorzetto. Simulating the environmental cost of scenarios in federated learning. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Victor Costa Dominguite. Simulating the environmental cost of scenarios in federated learning. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Matheus Domingues Casanova Nogueira. Simulating the environmental cost of scenarios in federated learning. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Lucas Jacinto Gonçalves. Exploring Content Steering Strategies for Adaptive Video Streaming. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Vitor Kiyoshi Hiratsuka. Content Steering Simulations: exploring Continuous Computing and Reinforcement Learning to support Adaptive Video Streaming. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Wallace Gustavo Santos Lima. Content Steering Simulations: exploring Continuous Computing and Reinforcement Learning to support Adaptive Video Streaming. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Thiago Danilo Silva De Lacerda. Fine-tuning of Convolutional Neural Networks for Traffic Sign Classification with Federated Learning. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Enrico Piovesana Fernandes. Fine-tuning of Convolutional Neural Networks for Traffic Sign Classification with Federated Learning. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Gustavo Sacramento Santos. Fine-tuning of Convolutional Neural Networks for Traffic Sign Classification with Federated Learning. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Leonardo Livrare Martins. MobFogSim Simulator with Support for Federated Training and Machine Learning. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Luiz Fernando Bittencourt).

Ivo Haddly da Trindade Silva. UMBU 2.0: Enhanced Platform for QoE Evaluation in Multimedia Streaming. 2024. (Undergraduate capstone in Computer Networks Technology) – Federal Institute of Education, Science and Technology of Rio Grande do Norte. (Advisor: Felipe Sampaio Dantas da Silva).

Gabriel Parracho dos Santos Leal. From WDM to Elastic Optical Networks from an Energy Perspective. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Igor Monteiro Moraes).

MATHEUS BELATO DE ANDRADE RODRIGUES. High-Availability Efficient Strategy for Dynamic Provisioning of Access Points in Large-Scale Wireless Networks. 2024. (Undergraduate capstone in Computing) – Fluminense Federal University. (Advisor: Diogo Menezes Ferrazani Mattos).

Vinicius de Oliveira Avena. SCoDA: Self-supervised Contrastive Learning for Domain Adaptation. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro, UFMG Support Foundation. (Advisor: Rodrigo de Souza Couto).

João Augusto Rosa Feltran, João Miguel de Oliveira Guimarães. Internet of Things and computer vision for beehive monitoring and bee flow counting. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Carlos Alberto Astudillo Trujillo).

Leonardo N. Nascimento Gabriel S. Enoki. Machine-Learning-based Energy Consumption Model for Cellular Network Interfaces. 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Carlos Alberto Astudillo Trujillo).

André Nogueira Ribeiro. Quantum Walks and its Applications in Quantum Networks. 2024. (Undergraduate capstone in Computer Science) – University of São Paulo, São Paulo Research Foundation. (Advisor: Antonio Jorge Gomes Abelém)

Fernando dos Reis Santos Filho. Energy Performance Analysis in Autonomous Drone Fleets (Co-advisor). 2024. (Undergraduate capstone in Computer Engineering) – State University of Campinas. (Advisor: Fabíola Martins Campos de Oliveira).

Humberto Turioni Marinho. Development of metrics to assess the spread of fake news on social networks. 2024. (Undergraduate capstone in Computer Science) – Federal University of ABC. (Advisor: Rodrigo Augusto Cardoso da Silva).

Gustavo Gualberto Rocha de Lemos. Multiclass Classification Used for Detecting GPS Spoofing and GPS Jamming Attacks in Drones. 2024. (Undergraduate capstone in Computer Science) – Federal University of ABC. (Advisor: Rodrigo Augusto Cardoso da Silva).

Jhonattan Carlos Barbosa Cabral. Predictive Intrusion Detection System in Software-Defined Networks using Multiple Machine Learning Techniques. 2024. (Undergraduate capstone in Computer Science) – Federal University of Rio Grande do Norte. (Advisor: Augusto José Venâncio Neto).

TATIANNA TRINDADE AMADOR DE AVIZ. PRE-PROCESSING TECHNIQUES APPLIED TO IMITATION LEARNING FOR AUTONOMOUS VEHICLES. 2024. (Undergraduate capstone in Computer Engineering) – Federal University of Pará. (Advisor: Eduardo Coelho Cerqueira).

Henrique Delazeri. Exploring Reinforcement Learning for Detection and Mitigation of Attacks in Communication Networks. 2024. (Undergraduate capstone in Computer Science) – Federal University of Rio Grande do Sul. (Advisor: Luciano Paschoal Gaspary)

Bruno Correa de Almeida. StatTrek: An eBPF-Based Solution to Trace Statistics for Quality of Service Measurement in Microservice-Based Applications on Kubernetes Clusters. 2024. (Undergraduate capstone in Computer Science) – Federal University of Rio Grande do Sul. (Advisor: Luciano Paschoal Gaspary)

Carlos Henrique Almeida Rocha. NOOB: Node Orchestration and Optimization Based on Genetic Algorithm for UAV-Assisted Terrestrial Networks. 2024. (Undergraduate capstone in Computer Engineering) – Federal University of Pará. (Advisor: Denis Lima do Rosário)

Izabella Maria Cavalcanti Melo. An Analysis of Vulnerabilities in iOS In-App Purchases. 2024. (Undergraduate capstone in Computer Engineering) – Federal University of Pernambuco. (Advisor: Divanilson Rodrigo de Sousa Campelo).

Leonardo Aita de Oliveira Militz. A Holistic Solution for Generating Datasets with Synthetic Attacks. 2024. (Undergraduate capstone in Computer Science) – Federal University of Santa Maria. (Advisor: Carlos Raniery Paula dos Santos).

João Carlos Zucchi. Reputation Mechanism based on SNORT Signatures to Control Infection Propagation. 2024. (Undergraduate capstone in Computer Science) – Federal University of Santa Maria. (Advisor: Carlos Raniery Paula dos Santos).

Augusto Pagnossim Frigo. An Architecture for Using Information Flow Control in a Microservices Environment. 2024. (Undergraduate capstone in Computer Science) – Federal University of Santa Maria. (Advisor: Carlos Raniery Paula dos Santos).

Pedro Melo Carvalho. Predictive Telemetry Based on Network Flow Behavior. 2024. (Undergraduate capstone in Computer Science) – Federal University of Santa Maria. (Advisor: Carlos Raniery Paula dos Santos).

João Renner Rudge. Development of a decentralized messaging system: An analysis of difficulties and limitations. 2024. (Undergraduate capstone in Computer Science) – University of São Paulo. (Advisor: Daniel Macêdo Batista)

Karen dos Anjos Arcoverde. A Tool for Analyzing Cellular Mobile Network Coverage with Real Crowd Data. 2024. (Undergraduate capstone in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor).

Scientific Initiation

João Monteiro. Reliable Services in UAV Networks. 2024. (Scientific initiation in Systems Engineering) – Federal University of Minas Gerais. (Advisor: Aldri Luiz dos Santos).

Rafael Cardoso Chimicatti. Theoretical and practical foundations of concepts and technologies in vehicular networks. 2024. (Scientific initiation in Information Systems) – Federal University of Minas Gerais. (Advisor: Aldri Luiz dos Santos).

Evelyn Laura Alves de Souza Costa. CPCS – Development of cognitive algorithms to improve security tools in networks. 2024. (Scientific initiation in Psychology) – Federal University of Minas Gerais. (Advisor: Aldri Luiz dos Santos).

Bernardo do Nascimento Nunes. Building Virtualized Network Environments for Use in the Prediction and Detection of DDoS Attacks. 2024. (Scientific initiation in Computer Science) – Federal University of Minas Gerais, São Paulo Research Foundation. (Advisor: Aldri Luiz dos Santos).

Fernando Dias de Mello Silva. Data collection to the cloud through vehicular networks. 2024. (Scientific initiation in Electronic and Computer Engineering) – Federal University of Rio de Janeiro, National Council for Scientific and Technological Development. (Advisor: Luis Henrique Maciel Kosmalski Costa).

Thiago Oliveira Magrin. Study of polarized scenarios using machine learning and network science. 2024. (Scientific initiation in Information Systems) – Federal Technological University of Paraná. (Advisor: Thiago Henrique Silva).

João Pedro Fernandes Silva. Vehicle Traffic Management Systems for Smart Cities. 2024. (Scientific initiation in Computer Science) – Federal University of Minas Gerais, National Council for Scientific and Technological Development. (Advisor: João Guilherme Maia de Menezes).

Davi da Costa Silva. Federated Learning: Development of an Indexing Server to Facilitate Client Participation in Distributed Training. 2024. (Scientific initiation in Electronic and Computer Engineering) – Federal University of Rio de Janeiro, National Council for Scientific and Technological Development. (Advisor: Miguel Elias Mitre Campista)

Beatriz de Carvalho Cister. An Evaluation of the Use of Machine Learning Libraries Designed for Low-Power Devices. 2024. (Scientific initiation in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Miguel Elias Mitre Campista)

Felipe Gomes Táparo. XAPP for Handover Management in Open-RAN Architecture. 2024. (Scientific initiation in Electronic and Computer Engineering) – Federal University of Rio de Janeiro. (Advisor: Miguel Elias Mitre Campista)

Guilherme Araujo Thomaz. Over-the-Air (OTA) Update of Embedded Vehicular Devices with End-to-End Trusted Computing. 2024. (Scientific initiation in Electronic and Computer Engineering) – Federal University of Rio de Janeiro, Carlos Chagas Filho Foundation for Research Support of the State of RJ. (Advisor: Miguel Elias Mitre Campista)

Ricardo Miranda Tanaka. Intent-based Management Agility for Service Level Refinement. 2024. (Scientific initiation in Information Systems) – Fluminense Federal University. (Advisor: Diogo Menezes Ferrazani Mattos).

RICARDO AMORIM LUNDGREN. PRACTICAL ANALYSIS OF FEDERATED LEARNING APPLIED TO INTERNET OF THINGS DEVICES. 2024. (Scientific initiation in Telecommunications Engineering) – Fluminense Federal University. (Advisor: Diogo Menezes Ferrazani Mattos).

Gabriel Alexander Toledo Mendes. Deep-Learning-based Seismic Attribute Computing. 2024. (Scientific initiation in Computer Science) – State University of Campinas, Unicamp Development Foundation. (Advisor: Carlos Alberto Astudillo Trujillo).

Nichollas Mikael Batista Medrado. Performance comparison between cloud data centers and servers mounted on unmanned aerial vehicles. 2024. (Scientific initiation in Science and Technology) – Federal University of ABC. (Advisor: Rodrigo Augusto Cardoso da Silva).

RODRIGO GONCALVES FLEXA. Orchestration of Shareable Service Function Chains for Multi-User Augmented Reality. 2024. (Scientific initiation in Computer Engineering) – Federal University of Pará, National Council for Scientific and Technological Development. (Advisor: Eduardo Coelho Cerqueira).

RENAN DOS SANTOS MORAIS. Use of entropy in Federated Learning. 2024. (Scientific initiation in Computer Engineering) – Federal University of Pará, National Council for Scientific and Technological Development. (Advisor: Eduardo Coelho Cerqueira).

CAMILO HENRIQUE MARTINS DOS SANTOS. Virtualization in 5G Networks. 2024. (Scientific initiation in Computer Science) – Federal University of Pará. (Advisor: Eduardo Coelho Cerqueira).

EDUARDO MORAIS RIBEIRO. Distributed Learning for the Internet of Vehicles. 2024. (Scientific initiation in Computer Engineering) – Federal University of Pará, Amazonas Research Support Foundation. (Advisor: Eduardo Coelho Cerqueira).

Artur Oliveira de Rosso. OpenRAN Phase 1. 2024. (Scientific initiation in Computer Science) – Federal University of Rio Grande do Sul, National Research and Education Network. (Advisor: Luciano Paschoal Gaspary)

Manuela Monteiro Fernandes de Oliveira. Heterogeneous Data Analysis in Urban Computing. 2024. (Scientific initiation in Computer Science) – Federal University of Minas Gerais, National Council for Scientific and Technological Development. (Advisor: Heitor Soares Ramos Filho).

Remí Guitton. Distributed Clustering in Programmable Data Planes. 2024. (Scientific initiation in ) – Bordeaux INP. (Advisor: Weverton Luis da Costa Cordeiro).

Tom Claudel. Automated Surveillance of Aedes aegypti Mosquitoes Using Machine Learning Techniques. 2024. (Scientific initiation in ) – Bordeaux INP. (Advisor: Weverton Luis da Costa Cordeiro).

Julien Guillemot. Evaluation of Programmable LPWAN Devices. 2024. (Scientific initiation in ) – Bordeaux INP. (Advisor: Weverton Luis da Costa Cordeiro).

Tatianna Trindade Amador de Aviz. A Semi-synchronous Model Aggregation Mechanism in Federated Learning for Connected and Autonomous Vehicles. 2024. (Scientific initiation in Computer Engineering) – Federal University of Pará, Amazonas Research Support Foundation. (Advisor: Denis Lima do Rosário)

Carlos Henrique Almeida Rocha. Service Orchestration for Unmanned Aerial Vehicle Networks in 5G Scenarios. 2024. (Scientific initiation in Computer Engineering) – Federal University of Pará, National Council for Scientific and Technological Development. (Advisor: Denis Lima do Rosário)

Camilo Henrique Martins dos Santos. A Client Selection Mechanism in Federated Learning for Connected and Autonomous Vehicles. 2024. (Scientific initiation in Computer Engineering) – Federal University of Pará, National Council for Scientific and Technological Development. (Advisor: Denis Lima do Rosário)

Thiago Duvanel Ferreira. Testing network protocol implementations via fuzzers. 2024. (Scientific initiation in Computer Science) – University of São Paulo, São Paulo Research Foundation. (Advisor: Daniel Macêdo Batista).

Matheus Barreira Guerra. Trusted Computing Applied to Federated Training. 2024. (Scientific initiation in Electronic and Computer Engineering) – Federal University of Rio de Janeiro, São Paulo Research Foundation. (Advisor).

Other Supervision

Gabriel Passos de Oliveira. Implementation of a 5G Network Testbed with Support for Massive Machine-Type Communication. 2024. (Other supervision in Computer Science) – State University of Campinas. (Advisor: Carlos Alberto Astudillo Trujillo).

Vitor Augusto de Campos Luz. Expanded Code Random Access in 5G/6G Networks Based on Machine Learning for Massive IoT Device Access. 2024. (Other supervision in Computer Science) – State University of Campinas. (Advisor: Carlos Alberto Astudillo Trujillo).

LAURO GABRIEL ALVES GOES SILVA. SUPERVISED CURRICULAR INTERNSHIP. 2024. (Other supervision in Systems Analysis and Development) – Federal University of Rio Grande do Norte. (Advisor: Roger Kreutz Immich).