Gabriele Mencagli
Professore Associato
Tuscany, Italy
Summary
👤
Senior🎓
Top SchoolGabriele Mencagli is an Associate Professor in Computer Science at the University of Pisa with a decade-plus academic career focused on parallel programming, autonomic computing, and data stream processing. He holds a PhD on control-theoretic predictive strategies for autonomic parallel computations and has translated that theory into practice through EU projects (Repara, Rephrase) and industry collaborations with Autodesk and List-group. Author of over 80 peer-reviewed publications, he investigates parallel systems from hardware evolution to runtime frameworks, favoring holistic, evaluation-driven designs. Known for blending control theory with runtime system design, he brings both rigorous academic grounding (summa cum laude degrees) and applied experience in building resilient parallel software. Based in Tuscany, he leads research within the Parallel Programming Models Group and frequently bridges academic research with real-world industrial needs.
8 years of coding experience
Laurea Specialistica in Tecnologie Informatiche, Informatics, 110 e lode, Laurea Specialistica in Tecnologie Informatiche, Informatics, 110 e lode at University of PisaDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Università di Pisa
English, Italian
Github Skills (37)
multithreading10
parsec10
gpu-programming10
multicore10
stream10
parallel-processing10
parallel-computing10
gpu10
streaming-api10
cuda10
stream-processing10
streaming-data10
streaming10
parallel9
data-stream9
Programming languages (2)
Github contributions (5)
ParaGroup/StreamBenchmarks
Feb 2020 - Jan 2023
Suite of Benchmark Applications for Stream Processing Systems
Contributions:57 commits, 19 PRs, 59 pushes in 2 years 10 months
stream-processingbenchmarkingstreaming-datapipeline-frameworkdata-stream
ParaGroup/DAC
Apr 2019 - Dec 2021
Divide-and-Conquer Parallel Pattern Implementation in FastFlow
Contributions:8 commits, 8 pushes in 2 years 9 months
divide-and-conquerconcurrencydivideparallelfastflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.