Dr. Danilo Ardagna
Associate Professor
Department of Electronics, Information and Bioengineering of Politecnico di Milano, Italy
Dr. Danilo Ardagnais an Associate Professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano, Italy, internationally recognized for his contributions to resource management in distributed computing systems with a strong focus on artificial intelligence, high-performance computing, and cloud/edge infrastructures. His research combines the design, prototyping, and performance evaluation of algorithms for large-scale systems with a particular emphasis on optimization methods such as Bayesian optimization and reinforcement learning, aiming to maximize quality of service and optimize resource allocation across the entire computing continuum, from edge and fog devices to cloud and HPC environments. Current interests include AI application deployment, performance analysis, energy efficiency, and model-driven management, with results that have been validated on industrial use cases and transferred into practice through open-source software and patents.
He received a PhD in Information Technology and an MSc in Computer Science Engineering from Politecnico di Milano, where he currently serves as Associate Professor. His experience includes research visits at the IBM T.J. Watson Research Center and the Basque Center for Applied Mathematics. Over his career, he has co-authored more than 150 peer-reviewed publications, including over 60 journal articles in leading IEEE and ACM venues. He has delivered numerous invited talks, received best paper awards, and has been consistently ranked among the world’s Top 2% most-cited scientists.
Danilo has coordinated or contributed as principal investigator to major European projects such as H2020 AI-SPRINT, DICE, ATMOSPHERE and EUBRA-BIGSEA, while collaborating with leading technology companies through grants and joint research initiatives with IBM, Microsoft, Google, and Amazon. His technology transfer activities have produced widely adopted open-source frameworks, alongside patents in AI systems and IT architectures. Beyond his scientific and industrial contributions, he has played key organizational and editorial roles, serving as General Chair for conferences such as IFIP WG 7.3 Performance, ACM SIGMETRICS, and the Fast Continuum series, and as Associate Editor for IEEE Transactions on Cloud Computing. He is member of the IFIP WG 7.3 on Computer System Modeling.