H

Helder Oliveira

Associate Professor · Department of Computer Science · IME-USP

Associate Professor · IME-USP

Computer Networks and Intelligent Communication Systems

My research focuses on the design, optimization and intelligent management of communication networks, with emphasis on optical networking, artificial intelligence and future network architectures.

University of São Paulo · São Paulo, Brazil · CNPq Productivity Research Fellow, Level 2
Helder Oliveira
80+Publications
1,000+Citations
13+Students
CNPqProductivity Fellow
01

About

I am an Associate Professor in the Department of Computer Science at the Institute of Mathematics, Statistics and Computer Science (IME-USP), University of São Paulo.

I received a Bachelor's degree in Computer Science from the Federal University of Alagoas in 2011, and a Master's degree and PhD in Computer Science from the University of Campinas (UNICAMP) in 2014 and 2018, respectively. I also completed a postdoctoral fellowship in Computer Science at UNICAMP in 2019.

My research combines computer networking, optical communication, machine learning and optimization to address challenges in high-capacity and future communication infrastructures.

Academic affiliation
Department of Computer Science · IME-USP
University of São Paulo · São Paulo, Brazil
02

Research

My research agenda focuses on intelligent network infrastructure, from optical transport networks to Edge-Cloud and emerging 6G systems.

Optical Networks

SDM-EON, routing, spectrum and core assignment, provisioning, protection and resilience.

AI for Networking

Machine learning, deep reinforcement learning and data-driven network management.

Edge, Cloud & 6G

Edge-Cloud architectures, intelligent offloading and communication systems for future networks.

Network Optimization

Algorithms and optimization techniques for dynamic resource allocation and network control.

03

Research Projects

ROCAN6G
FAPESP · 25/03079-4
2026–2029

Advanced Optical Networks for Cloud and 6G: Building a Connected Future

Advanced optical networking for cloud and 6G systems, including intelligent resource allocation and next-generation transport infrastructure.

FAPESP ↗
ML / OPTICAL
FAPESP · BPE
2027–2028

Machine Learning as a Key Enabler for Future Fiber Optical Communication Systems

Machine learning and deep reinforcement learning for future fiber optical communication systems and intelligent network operation.

FAPESP ↗
ONDA
CNPq · Productivity Research
Ongoing

Next Generation Optical Networks with Disruptive Capacity Provisioning

Next-generation optical networks, capacity provisioning, routing, migration and protection for high-capacity communication infrastructures.

Lattes ↗
04

Research Team

My research activities include the supervision of the Netsys research team within the Software Systems Research Group (SoftSys) at IME-USP.

Netsys brings together students and researchers working on computer networks, optical networking, artificial intelligence and network optimization.

Netsys Networking and Optical Systems Research Team Research Team Website →
05

Publications

More than 80 scientific publications and more than 1,000 citations. The complete and updated publication record is available through DBLP.

Optical Networks
Priority-aware traffic routing and resource allocation mechanism for SDM elastic optical networks
Computer Networks
SDM-EON
Routing and Resource Allocation in SDM Elastic Optical Networks
IEEE Transactions on Network and Service Management
Optical Networks
Routing, Spectrum and Core Assignment Algorithms for SDM Optical Networks
Journal of Network and Computer Applications
07

Contact

Helder Oliveira
Associate Professor · Department of Computer Science
Institute of Mathematics, Statistics and Computer Science · University of São Paulo

São Paulo, Brazil