Marco Mellia

Politecnico di Torino

Papers

1

Total Citations

5

H-Index

1

About

Marco Mellia is a leading researcher in computer networks and data science, with a focus on Internet measurements, traffic analysis, and machine learning applications. His major contributions span network performance monitoring, privacy-preserving data analytics, and the development of novel methodologies for understanding and optimizing complex systems. With over 20,000 citations, his work has profoundly influenced both academia and industry, particularly through pioneering studies on Internet traffic classification and user behavior analysis. Notable achievements include his role in the development of the Tstat network monitoring tool and influential papers on online social network dynamics. More recently, Mellia has applied machine learning to industrial processes, such as fault prediction in resistance spot welding, demonstrating the versatility of his research. His work bridges theoretical insights with practical solutions, making him a key figure in the evolution of data-driven networking and applied AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Fault Prediction in Resistance Spot Welding: A Comparison of Machine Learning Approaches
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Politecnico di Torino

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago