The WiDI Lab conducts research at the intersection of high-performance computing, next-generation wireless networks, and distributed intelligence. Our work addresses the computational and networking challenges of emerging systems that require low latency, scalability, reliability, and security, including intelligent transportation systems, Internet of Things (IoT), and critical infrastructure platforms. The lab emphasizes experimental, systems-oriented research, combining theory, large-scale simulation, and HPC-enabled prototyping.

Parallel and scalable computing frameworks for device–edge–cloud systems, including task offloading, resource orchestration, and performance optimization under mobility and heterogeneity

• Large-scale network and system simulations
• Parallel and distributed algorithm development
• Data-intensive learning and optimization workflows
• Experimental validation of next-generation network architectures

Our research relies on multi-core CPUs, accelerators, distributed clusters, and advanced software toolchains to ensure reproducibility, scalability, and performance fidelity.

Join WiDI Lab

The lab welcomes undergraduate, MSc, and PhD students with interests in:

• High-performance and real-time systems
• Wireless and mobile networks
• Distributed systems and AI
• Cybersecurity and critical infrastructure

Interested students are encouraged to contact the lab director with a brief statement of interest.

Training & Highly Qualified Personnel (HQP)

WiDI Lab is committed to training highly qualified personnel in:

• High-performance and parallel computing
• Distributed systems and networking
• Applied machine learning and optimization
• Experimental research and system prototyping

Students gain hands-on experience with real-world systems, collaborative research, and interdisciplinary problem-solving aligned with academic and industry needs.

Check our projects at Projects.

Funding is available under different forms:

• Graduate students receive funding from a combination of sources: research funding, fellowships, and teaching assistantships.
• Undergraduate students may receive funding from awards or research assistantships.

Advice and rules to applicants to the graduate program here.

• Smarter Roads Ahead: Data-Driven Communication and Mobility Modelling for Vehicular Intelligence.
  Robson E. De Grande and Mubashir Murshed.
  University of São Paulo, Brazil - July, 2025
• Tutorial on Simulation-based Design and Evaluation of Multi-Radio Access Technologies for Highly Mobile Vehicular Networks.
  Robson E. De Grande and Mubashir Murshed.
  International Conference on Wireless Intelligent, and Distributed Environment for Communication - October, 2024
• Vehicular Edge Computing: Leveraging ITS and Urban Computing.
  Lakehead University, Canada Fall, 2020