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Arthur Simas

Arthur Simas

PhD Researcher @ UNICAMP | Cloud & Network Engineer | Software Developer

📌 São Paulo | Campinas (Brazil)

LinkedIn: arthursimas (opens in a new tab)
GitHub: arthursimas1 (opens in a new tab)
StackOverflow: arthur-simas (opens in a new tab)
ORCID: 0000-0001-7705-4929 (opens in a new tab)
Lattes: 7361619387683682 (opens in a new tab)

What I Do

Infrastructure & Operations
I am specialized in the design and operation of distributed systems:

  • Cloud Computing: Cloud-native Infrastructures, Oracle Cloud, Kubernetes, LXD.
  • Server Management: Infrastructure as Code (Terraform), Linux-based server environments.
  • Private 5G Networking.

Private Mentorship
I conduct specialized private mentorship for students and professionals from the basics of programming and algorithms to cloud computing.

🧠 Research & Innovation: Neuromorphic Networking

I am a PhD Researcher at the SMARTNESS 2030 Research Center (opens in a new tab) (UNICAMP), pioneering the integration of Brain-Inspired Computing into next-generation network architectures.

Current Focus: Neuromorphic Systems

  • Next-Gen Connectivity (5G/6G): Engineering AI-Native Core Networks to automate 5G/6G environments.
  • Intelligent IoT: Implementing ultra-efficient, event-driven processing models for Massive IoT ecosystems.
  • Hardware Design (FPGA): Architecting custom Neuromorphic Hardware on FPGA to enable ultra-low-power and real-time brain-inspired intelligence "in a stick", bringing intelligence to portable edge devices.

🎓 Education

🏅 Certifications

📖 Short Bio

I am currently a full-time PhD Researcher at UNICAMP, where I am part of the SMARTNESS 2030 Research Center (opens in a new tab). I hold a Master's degree in Computer Engineering from UNICAMP, and Bachelor's degree in Computer Science from UFSCar.

During my master's research, I worked with eBPF to build a traffic acceleration mechanism called eZtunnel. The project is entitled "eZtunnel: An eBPF-based Traffic Acceleration Mechanism for Cloud-Native Infrastructures"; I also worked on an Undergraduate Research in the field of Artificial Intelligence entitled "Towards a Power Saving Framework Using Gamification in Cognitive Power Meters". My Final Graduation Project was in the field of Computing Education entitled "e-atlas: Tools to Facilitate the Development of School Digital Atlases" with the help of an Extension Activity Grant to develop my contributions.

Furthermore, I served as a tutor for three different classes, including Introduction to Programming, Algorithms and Programming, and Organization and Retrieval of Information. After graduating, I gained experience as a Software Engineer in the area of data analysis and business intelligence.

I also advise other undergraduate students and researcher peers, which renders in co-authored publications. I have gained experience in work, tutoring, and research in collaboration with Ericsson-funded projects, including to the research project "5G Services in Programmable Networks with Machine Learning", contributing to the development of a framework to capture 5G traces and YouTube QoE metrics, and also in a live 5G operational dataset collection campaigns in São Paulo and Campinas.