Mattia Lecci is an R&D researcher and Ph.D. candidate in Information Engineering with nine years of experience focused on mmWave communications and deep learning, currently advancing measurement and emulation capabilities at Keysight Technologies. His background spans hands-on algorithm design for predictive beam-tracking at NIST, extending Colosseum’s channel-emulation stack during a visiting stint at Northeastern, and practical R&D engineering that bridges simulation, SDR-based validation, and deployment-ready software pipelines. He combines rigorous academic training (top honors MS and BS from Università di Padova) with applied systems work across industry and national labs, making him adept at turning theoretical channel models into scalable testbed implementations. Notably, he has contributed to updating emulator back-ends to support long-range, high-frequency scenarios—a detail that highlights both systems-level insight and an ability to influence hardware-software co-design.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at Università degli Studi di Padova
An implementation of a traffic model for VR applications on ns-3
Contributions:3 releases, 6 reviews, 6 commits in 5 months
ltevr-applicationsvirtual-realityns-3openvr
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Mattia Lecci - R&D Researcher at Keysight Technologies