Welcome to SPEAR Lab
The SPEAR Lab (Systems and Protocols for Edge-Enabled Internet) at TU Delft conducts cutting-edge research in edge computing, next-generation network protocols, and Internet-wide measurements. We build practical systems and conduct measurements that shape the future of Internet infrastructure.
SPEAR Lab is associated with the Networked Systems Group at Software Technology department of the Faculty of Electrical Engineering Mathematics, and Computer Science (EEMCS) at TU Delft.
Highlights
Research Areas
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Edge Computing
Physical deployment, specifications and effective utilization of compute resources at the network edge
Next-Generation Network Protocols
Protocol design and optimization for emerging network environments including LEO satellites, multipath transport, and edge computing
Satellite Networks
LEO satellite constellation measurement, characterization, and protocol optimization for global connectivity
Internet-Wide Measurements
Large-scale empirical analysis of Internet infrastructure, protocol behavior, and network performance
EdgeAI & ML Model Management
Systems challenges in deploying and managing machine learning workloads across heterogeneous edge infrastructure
Join Our Team
We are always looking for motivated students and researchers to join our lab.
PhD Positions in Edge Computing, AI Orchestration, Satellite Networks, and Internet Measurements
The Internet was never designed for LEO satellites, agentic AI, or compute that moves to the edge — yet that is exactly where it is heading. We are hiring PhD students to build the systems, protocols, and measurements that get it there. Expect real testbeds (Starlink, Kubernetes, Oakestra, 5G/6G, GPU clusters), open-source you can point your friends to, and a group that argues hard and ships harder. Curious? Send Nitinder Mohan a short note about what excites you, together with your CV. Spontaneous applications welcome year-round.
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Are You a Student at TU Delft?
Check out our open thesis topics for Bachelor's and Master's students.
Designing and supporting “fluid computing”
Modern distributed computing environments require applications to dynamically adapt to varying resource availability, network conditions, and computational demands. Traditional static deployment...
Designing and supporting “fluid computing”
Modern distributed computing environments require applications to dynamically adapt to varying resource availability, network conditions, and computational demands. Traditional static deployment...
Edge Orchestration Meets Agentic AI: How Should Distributed Agents Communicate?
Edge computing has emerged as a critical paradigm for reducing latency and improving performance by bringing computation closer to data sources. This rapid adoption has created a demand for efficient...