Preliminary Program

This is a preliminary schedule and may be subject to changes.

Day 1 - Nov 24 - Industry Day

Day 2 - Nov 25

Day 3 - Nov 26 - Student Forum

Day 4 - Nov 27

Session Details

Keynotes

• Industry Keynote — Eduardo Lima
  • Date: Nov 24
  • Time: 11:00–12:00
  • Bio: Eduardo Rodrigues de Lima is R&D Manager at the Eldorado Research Institute in Campinas-SP, where he oversees a diverse portfolio spanning digital transceivers and receivers, modems, RF front-ends, ADCs/DACs, PLLs, and wireless networks, with implementation across ASICs, FPGAs, SDRs, and embedded systems. He holds a PhD in Engineering (Signals and Communications Theory) from the Universitat Politècnica de València, with a research period at IMEC (Belgium), and has been a CNPq Productivity Researcher in Technological Development and Innovative Extension since 2018. His background includes a bachelor’s in Electrical Engineering (UNESP/FEIS), a specialization in Mobile Communications (UPV/Vodafone), a Technician qualification in Electronics, and Professional Training in General Mechanics (SENAI). An entrepreneur, he was a partner at Idea! Sistemas Eletrônicos and currently leads the development of Gerontec, focused on technologies for elderly care. He has led or contributed to projects for NEC, VIVO, Telefônica, and Ericsson; received a CI-Brasil scholarship for FPGA designs (ISDB-T, DVB-S2) and an ISDB-T ASIC receiver. He is a Visiting Professor at UNICAMP/FEEC (DECOM) and collaborates with Mechanical Engineering and the Institute of Computing. He has led and coordinates R&D funded by CNPq, the Informatics Law, ANEEL, EMBRAPII, FINEP, BNDES, PPI, and ANP, advancing ICT. He also holds an International Executive MBA from FIA.

• Keynote — Enrico Bini
  • Date: Nov 25
  • Time: 11:00–12:00
  • Bio: Enrico Bini is an Associate Professor in the Department of Computer Science at the Università di Torino. He was previously an Assistant Professor at Scuola Superiore Sant’Anna’s Real-Time Systems Lab (until 2016) and a Marie Curie IEF fellow at Lund University (2012–2014). He received a PhD in Real-Time Systems from Scuola Superiore Sant’Anna in 2004 (Spitali Award), an MS in Mathematics in 2010, and a master’s in Computer Engineering from the University of Pisa and Scuola Superiore Sant’Anna (2000). He has published 100+ papers—earning an IEEE TCRTS Test-of-Time Award, four best-paper awards (RTNS, RTCSA, ICC), and multiple “most-cited” recognitions (ECRTS, RTSS)—on real-time scheduling, operating systems, and optimization for real-time/control (cyber-physical) systems; recent work spans optimal management of distributed and parallel resources. His service includes chairing 12 events (e.g., Program Chair, RTSS 2021; Program Co-Chair, RTCSA 2020; Embedded Software Track Chair, DAC 2020) and serving on 70+ program committees (including RTSS, RTAS, EMSOFT). He is an Associate Editor of IEEE Transactions on Computers and Springer’s Real-Time Systems.

• Keynote — Gustavo Pessin — R&D at Vale and with Vale: The future of automation, instrumentation, and robotics in mining processes
  • Date: Nov 25
  • Time: 15:30–16:30
  • Bio: Gustavo Pessin, D.Sc. (2013) has a strong background in building intelligent applications, integrating Machine Learning, IoT and Robotics to deploy Industrial and Environmental Applications. Pessin has dedicated efforts to create better and safer systems for industry and to help the understanding of ecological systems. Intelligent systems for industry have been developed for mineral activities, improving transportation safety and optimizing both extraction and production by means of instrumentation and development of machine learning tools to deal with image and sound recognition, anomaly detection and forecast models. Research with ecological environments have been carried out by investigation on the use of RFIDs to keep track of wildlife. Furthermore, the deployment of a robot and its services to map geological facilities have been helping on the understanding of natural cavities. Pessin got his D.Sc. in Computer Science at the University of Sao Paulo, as a member of the Mobile Robotics Lab. During his D,Sc. Pessin carried out research with the Robotics Lab, at the Heriot-Watt University, Edinburgh, UK and the Communication and Distributed Systems Group, at the Universität Bern, Switzerland. In 2015, Pessin had a Visiting Scholar position within the Media Lab at the Massachusetts Institute of Technology. Currently, Pessin is a Full Researcher within the Robotics, Instrumentation and Control Lab, at the Vale Institute of Technology. Furthermore, Pessin is a member of two post-graduation programs, one in computer science and the other in automation, at the Federal University of Ouro Preto and at the Federal University of Pará. Pessin has published more than 120 papers in peer-reviewed journals and conferences and has supervised more than 30 thesis and dissertations.

• Keynote — Guido Araujo
  • Date: Nov 26
  • Time: 11:00–12:00
  • Bio: Guido Araújo is a retired Senior Professor at the University of Campinas (UNICAMP) and CTO of Celera.AI, where he leads work on advanced compilation and software optimization stacks for AI. He has conducted research in computer architecture, parallel programming, and compiler optimization for HPC and AI, often in partnership with IBM, Microsoft, Intel, LG, Xilinx, Samsung, and others. He earned his PhD from Princeton University (1997) and has published extensively, with awards including DAC (1996), SCOPES (2003), SBAC-PAD (2004, 2017), IP/SOC (2006), and the SBCCI Test-of-Time (2014). At UNICAMP, he founded and coordinated the LSC/UNICAMP lab, advised 39 master’s and 18 PhD graduates, and received the Zeferino Vaz Award (2002, 2022), Excellence in Teaching (2008, 2021), and Inventors Awards (2016, 2017). He has also contributed to the community through editorial work, technical councils, and major Brazilian R&D programs.

Panels

• Panel — Industry Perspectives on Computer Systems Engineering
  • Date: Nov 24
  • Time: 17:00–18:00
  • Moderator: Prof. Milos Manic (VCU, IEEE/IES)
  • Participants: Benicio Goulart (Motorola), Juliano Oliveira (HwIT), Roberto Gallo (Kryptus), Vagner Alvares (Toradex), TDB (John Deere)

• Panel — Student Forum — From the Lab to Industry: Inspiring Journeys in Computer Systems Engineering
  • Date: Nov 26
  • Time: 15:30–16:30
  • Moderator: Prof. Lisane Brisolara (UFPel)
  • Participants: Karila Palma Silva (Embraer) and Juliane Regina de Oliveira (Instituto Eldorado).

Embedded Systems School

• Embedded Systems School — Industry Session
  • Date: Nov 24
  • Time: 08:30–10:30
  • Lecturer: TBD

• Embedded Systems School — Petri nets-driven development of distributed embedded controllers
  • Date: Nov 25
  • Time: 08:30–10:30
  • Lecturer: Luís Gomes (UNL, Portugal)

• Embedded Systems School — Specification of Cyberphysical Systems using SysMLv2
  • Date: Nov 26
  • Time: 08:30–10:30
  • Lecturers: Marco Aurélio Wehrmeister (UTFPR, Brasil), Gian Ricardo Berkenbrock (UFSC, Brasil)

Technical Sessions

• Technical Session 1 — Applications and IoT
  • Date: Nov 24
  • Time: 13:30–15:00
  • Chair: TBD
  • Papers:
    1. Análise de desempenho de LLMs usando técnicas de RAG em cenários de hardware com recursos limitados
       Gabriela Malveira (UFAM), Kaike Maciel (UFAM), João Alfredo Holanda Bessa Neto (UFAM), Ricardo Miranda Filho (UFAM), Rosiane de Freitas (UFAM)
    2. VisionApp: Reconhecimento Facial em Dispositivos Móveis para Segurança Pública
       Beatriz Barbosa (iCEV), Anderson Vale (iCEV), Leonardo Lopes (iCEV), Lucas Pereira (iCEV), Gustavo Vale (iCEV), Cristovam Rocha (iCEV), Raimundo Neto, Ricardo Rabêlo (UFPI), Dimmy Magalhães
    3. Sistema AIoT para Detecção de Sirenes com Aprendizado de Máquina Embarcado em Dispositivos de Borda
       Lucas Barreto, Levy Galvão, Raimundo da Silva Barreto (UFAM), Horácio Oliveira (UFAM)
    4. Arquitetura de Aprendizado Federado para Wearables: Detecção de Risco com FC e HRV na Indústria
       Bruno Campos (UFOP), Ricardo Augusto Rabelo R. Oliveira (UFOP)
    5. (WIP) TEDA-Multi em FPGA para Processamento Paralelo de Sinais Biomédicos Multissensores
       Lucileide Silva (IFRN), Sérgio Natan Silva (UFRN), Marcelo A. C. Fernandes (UFRN)

• Technical Session 2 — Network and distributed systems
  • Date: Nov 24
  • Time: 15:30–17:00
  • Chair: TBD
  • Papers:
    1. Exploring Wireless Time-Sensitive Networking and QoS in V2X Scenarios
       Gabriel Aguiar (UFSC), Giovani Gracioli (UFSC)
    2. Multi-Objective Optimization of LoRa Network for Cattle Monitoring in Open Environments
       João Felix (UFPE), Abel Guilhermino Silva-Filho (UFPE), Adriano Sarmento (UFPE)
    3. Avaliando o Impacto da Comunicação na Cobertura de Área com um Conjunto Dinâmico de Veículos Aéreos Não Tripulados
       Antonio Pedro Santana Ferreira (UFBA), Alirio Santos de Sá (UFBA)
    4. AtesN-DS: Acelerando o DNS com eBPF
       João Soares (UFMG), André Garcia Vieira (UFMG), Marcos Augusto Menezes Vieira (UFMG), Luiz Filipe Menezes Vieira (UFMG)
    5. (WIP) FADR-MLP: A Lightweight Neural Network-Based Surrogate Model for Adaptive Data Rate Control in LoRaWAN
       Fernando Jorge Vieira Santos, Thiago Allisson Ribeiro Da Silva (UFPI), Geraldo Abrantes Sarmento Neto (UFPI), Luis Henrique De Oliveira Mendes(UFPI), Pedro Felipe Ferreira De Abreu (UFPI), Anderson Leonardo Sanches (UFABC), José Valdemir dos Reis Junior (UFPI)

• Technical Session 3 — Energy and Environment: Monitoring and control
  • Date: Nov 25
  • Time: 13:30–15:00
  • Chair: TBD
  • Papers:
    1. Hybrid Control Strategies for Greenhouse Climate Regulation: PID, Fuzzy, and Neuro-Fuzzy Comparative Implementation in Temperate-Dry Crop System
       Cristian Márquez Zurita (UFBA), Flávio Morais Assis Silva (UFBA)
    2. Applications of RNN, LSTM, and GRU in Solar Irradiance Prediction for Photovoltaic Systems
       Casimiro Agostinho (Universidade Federal do RN), Fábio Meneghetti U. de Araujo (UFRN), Stephany Rodrigues Vieira (UFRN)
    3. Hybrid Neuro-Fuzzy Controllers for Robust Maximum Power Point Tracking under Variable Environmental Conditions
       Casimiro Agostinho (UFRN), Fabio Meneghetti U. de Araujo (UFRN), Stephany Rodrigues Vieira (UFRN)
    4. (WIP) Estudo Sobre Aplicações da Lógica Fuzzy em Sistemas Fotovoltaicos
       Stephany Rodrigues Vieira (UFRN), Casimiro Agostinho (UFRN), Fabio Meneghetti U. de Araujo (UFRN)

• Technical Session 4 — Applications
  • Date: Nov 25
  • Time: 16:30–18:30
  • Chair: TBD
  • Papers:
    1. Pipeline for Data Collection and Real-Time Inference for Semantic Segmentation of 3D Point Clouds
       João Victor Chaves de Figueiredo (UFG), Rogério Albert Marinho Pereira Mozer (UFG), Victor Matteus Silva Souza (UFG), Analucia Schiaffino Morales (UFSC), Iwens Sene Jr (UFG), Lucas Araújo Pereira (UFG)
    2. Soft Computing towards Inverse Kinematics
       Gustavo Ledandeck (UFABC), Mateus Coelho Silva (UFABC)
    3. Lane Detection with Centerline Calculation and Temporal Tracking for Autonomous Driving
       Rodrigo Santos de Carvalho (UFSC), Giovani Gracioli (UFSC)
    4. Enabling On-the-Fly Automotive Suspension Health Monitoring with Vision-based Vibration Model
       Leonardo Pezenatto da Silva, Antonio Augusto Frohlich (UFSC), José Luis Conradi Hoffmann (UFSC), Luiz Fernando Martins Pastuch
    5. Embedded Operation Effort Estimation: A Machine Learning Performance-Efficiency Trade-off Analysis
       Enzo Spotorno (UFSC), José Luis Conradi Hoffmann (UFSC), Leonardo Passig Horstmann (UFSC), Antonio Augusto Medeiros Frohlich (UFSC)
    6. Optimising Embedded Neural Network Inference in Smart Traps for Fruit Pest Detection via Quantization-Aware Training and FPGA Acceleration
       Lucas Freitas (UFPEL), Isadora Dias (UFPEL), Victor Santos (UFPEL), Paulo Roberto Ferreira Jr (UFPEL), Julio C. B. Mattos (UFPEL), Lisane Brisolara (UFPEL)

• Technical Session 5 — Drone-related applications and tools
  • Date: Nov 26
  • Time: 13:30–15:00
  • Chair: TBD
  • Papers:
    1. PyGame Simulation Model for Assessing Drone Swarm Utilization in Wildfire Suppression
       Ryan Nascimento (UFC), André Alves de Freitas (Universidade Federal do Ceará UFC), Antonio Cesar (UNICAMP), Marcelo Martins da Silva (UFC), Thiago Werley Bandeira Silva (UFC)
    2. BatFed: Battery-Aware Federated Transfer Learning Strategy for Remote Monitoring by UAV
       Hector Ribeiro (UFPI), Anderson Baptista (UFPI), Mizael Pereira Gonçalves (UFPI), Ricardo Rabêlo (UFPI), José Rodrigues Torres Neto
    3. AADL Model for Temporal Tuning of the Failsafe Triggering Mechanism from a Fire Fighting Drone
       Leandro Buss Becker (UFSC), Matheus Leitzke Pinto (IFSC), Jean-Paul Bodeveix (Institut de Recherche en Informatique de Toulouse), Mamoun Filali Amine (Institut de Recherche en Informatique de Toulouse)
    4. (WIP) Verificação Formal de Código Fonte de Sistema Embarcado em um Veículo Aéreo Não Tripulado
       Ana Paula Fleck (UFSC), Guilherme Prudente da Silva (UFSC), Leandro Buss Becker (UFSC)

• Technical Session 6 — IoT
  • Date: Nov 26
  • Time: 16:00–18:30
  • Chair: TBD
  • Papers:
    1. Towards a Scalable Server-Side Architecture for Real-Time Distributed Image Analysis
       Nivardo Albuquerque Leitão de Castro (IFCE), Cidcley Teixeira de Souza (IFCE), Antonio Wendell de Oliveira Rodrigues (IFCE), Carlos Henrique Leitão Cavalcante (IFCE)
    2. Synthetic Data Generation with Few-Shot Adaptation for HAR Using Wearable Sensors via Conditional SeriesGAN
       Jonathan Silva (UFOP), Mateus Coelho Silva (UFABC), Vicente P. Amorim (UFOP), Pedro Sebastião de Oliveira Lazaroni, Ricardo Augusto Rabelo R. Oliveira (UFOP)
    3. Adaptive Model Switching for Dynamic Inference Serving in the IoT-edge-cloud Continuum
       Tiago Knorst (UFRGS), Michael Guilherme Jordan (UFRGS), Guilherme Korol (UFRGS), Guilherme Paim, Mateus Beck Rutzig (Federal University of Santa Maria), Antonio Carlos Schneider Beck Filho (UFRGS)
    4. Lightweight Cryptography for the Internet of Things: A Multi-Metric Experimental Assessment
       Yuri Silva Vaz (UFPEL), Julio C. B. Mattos (UFPEL), Rafael Soares (UFPEL)
    5. A multi-device Android mobile raw log Dataset for intelligent analysis
       João Alfredo Holanda Bessa Neto (UFAM), Ricardo Miranda Filho (UFAM), Raimundo da Silva Barreto (Ufam), Rosiane de Freitas (UFAM)
    6. Computing continuum implementation using a FaaS architecture with Repurposed TVBoxes
       Igor Almeida (UNIOESTE), Rafael Pascoali Czerniej (UNIOESTE), Guilherme Galante (UNIOESTE), Marcio Oyamada (UNIOESTE)

• Technical Session 7 — Electronic system level design and synthesis
  • Date: Nov 27
  • Time: 08:30–10:30
  • Chair: TBD
  • Papers:
    1. Flexible Wrapper for Ensemble Machine Learning Trees targeting High-Performance HBM-FPGAs
       Icaro moreira (UFV), Olavo Barros (UFV), Lucas Bragança da Silva (UFV), Racyus Delano Garcia Pacífico (UFMG), Ricardo dos Santos Ferreira (UFV), José Augusto Miranda Nacif (UFV)
    2. Go Fast: GPU Optimizer for FPGA-LUT Approximate Simulation and Tuning
       Olavo Barros (UFV), Isabela de Castro Freitas (UFV), Pedro Henrique Coura Pereira (UFV), José Augusto Miranda Nacif (UFV), Javier Resano, Adrián Alcolea Moreno, Maria Villarroya-Gaudo (Universidad de Zaragoza), Ricardo dos Santos Ferreira (UFV)
    3. NeuroHLS: A Flexible Framework for Accelerating SNNs on FPGAs
       Renan Carlos Gomes de Farias (UFSM), Fernando Pedrazzi Pozzer (UFSM), Mateus Beck Rutzig (UFSM)
    4. TORVS: A Lightweight Dual-Issue Superscalar RISC-V Core for FPGA-Based Systems
       Lucas Mendes (UFSCAR), Mauricio Figueiredo (UFSCAR), Ricardo Menotti (UFSCAR)
    5. A Lightweight Risc-V Vector Merge Instruction to Boost SpMxDV Algorithm
       Manuel Adahil Muniz Osterno (PUCRS), César Augusto Marcon (PUCRS), Jarbas Aryel Nunes Silveira (UFC), Ricardo Jardel Nunes da Silveira (UFC)
    6. A Simulation Methodology for Transparent Coarse-Grained Reconfigurable Architectures
       Thiago Soares (IFPI), Ivan S. Silva (UFPI)

• Technical Session 8 — Fault-tolerance and cybersecurity
  • Date: Nov 27
  • Time: 11:00–12:00
  • Chair: TBD
  • Papers:
    1. MLBFA: A Machine Learning-Guided Framework for Efficient Bit-Flip Attacks on Deep Neural Networks
       José Ronaldo (IFCE), Otávio Alcântara de Lima Júnior (IFCE), Nayra Sousa (IFCE)
    2. Sherlock Holmes of Threats on Internet of Drones
       Luiz Henrique Custódio Mendes Marques (UEM), Linnyer Beatrys Ruiz Aylon
    3. (WIP) Practical and Secure NFT Access Control for Low-Cost IoT Devices via a Delegated Reputation Gateway
       Pedro Felipe Ferreira de Abreu (UFPI), Maria Do Rosario de Fatima Martins Ferreira, Luis Henrique De Oliveira Mendes (UFPI), Geraldo Abrantes Sarmento Neto (UFPI), Thiago Allisson Ribeiro Da Silva (UFPI), Anderson Leonardo Sanches (UFABC), Ricardo Rabêlo (UFPI), José Valdemir dos Reis Junior (UFPI)