High-Performance and Energy-Efficient Machine Learning Architecture for Intrusion Detection in Autonomous Vehicles: Analysis and Characterization of Cybersecurity Threats

• Research funding: CNPq, Brazil.

  • to support international cooperation with Professor Jean-Luc Gaudiot, University of California, Irvine.

• Principal investigator: Henrique C. Freitas (PUC Minas).

• 2025 – 2026

High-Performance and Energy-Efficient Task Scheduler for Heterogeneous Architectures

• Research funding: CNPq, Brazil.

  • Research Grant for High Academic Productivity (Level 2).

• Principal investigator: Henrique C. Freitas (PUC Minas).

• 2023 – 2026

High-Performance Mathematical and Machine Learning Algorithms for Forecasting Systems

• Research funding: Revex, Brazil.

• Principal investigators: Henrique C. Freitas (PUC Minas) and Dorirley Rodrigo Alves (Revex).

• 2019 – 2021

Design of Reconfigurable Hardware to Accelerate Deep Learning Algorithms

• Research funding: Intel HARP (Hardware Accelerator Research Program), USA.

• Principal investigator: Henrique C. Freitas (PUC Minas).

• 2016 – 2021

Parallel Applications for Big Data on Unconventional Manycore Architectures: Scalability, Performance and Energy

• Research funding: FAPEMIG, Brazil.

• Principal investigator: Henrique C. Freitas (PUC Minas).

• 2017 – 2019

Energy Efficiency and High Performance of Parallel Applications and Unconventional Many-Core Architectures

• Research funding: CNPq, Brazil.

  • Research Grant for High Academic Productivity (Level 2).

• Principal investigator: Henrique C. Freitas (PUC Minas).

• 2017 – 2020

Many-Core Processor Architectures: Performance vs. Energy

• Research funding: CNPq, Brazil (Postdoctoral fellowship).

• Institution: Université Grenoble Alpes, France.

  • Supervisor: Jean-François Méhaut

  • PI and Visiting Researcher: Henrique C. Freitas (PUC Minas).

• 2015 – 2016

Design of a Network-on-Chip Architecture to Support High-Traffic Access to Shared Cache Memory

• Research funding: CNPq, Brazil.

• Principal investigator: Henrique C. Freitas (PUC Minas).

• 2015 – 2017

ExaSE – Exascale Computing: Scheduling and Energy

• Research funding: INRIA (France), FAPERGS (Brazil/RS) and FAPEMIG (Brazil/MG).

• Principal investigators: Jean-Marc Vincent (INRIA, Mescal-Grenoble), Nicolas Maillard (FAPERGS, UFRGS) and Henrique C. Freitas (FAPEMIG, PUC Minas).

• 2014 – 2017

Workload Characterization for Wireless Networks-on-Chip

• Research funding: CNPq, Brazil.

• Principal investigator: Henrique C. Freitas (PUC Minas).

• 2010 – 2012.

Characterization and Evaluation of Parallel Workloads for Many-core Architectures

• Research funding: FAPEMIG (Brazil/MG) and INRIA (France).

• Principal investigators: Carlos Martins (PUC Minas) and Jean-François Méhaut (INRIA/UGA).

• 2009 – 2011.