- Supervised Bachelor Theses: Including Florian Drucker's research on Revisiting Tensorflow Experiments on FAASM and several others
- Supervised Master Theses: Ongoing, including Maximilian Scharizer's work on Evaluating LLM Interoperability Protocols for Tool Augmented Root Cause Analysis in AIOps and several others
- Teaching Courses: Distributed Systems, Distributed Systems Technologies, Projects in Computer Science, etc.
Research Experience
- University assistant at the Distributed Systems Group of the Institute of Information Systems Engineering since January 2020
- Collaborated with SmartData@PoliTO center for data science and big data from 2017 to 2020
- Interned at Cisco, San Jose, CA during the summer of 2017
- Visiting student at AIT, Vienna, Austria from January 2019 to July 2019
Education
- Doctoral Degree: Electrical, Electronics, and Communications Engineering, January 2020, Politecnico di Torino, Supervisor: Prof. Marco Mellia, Project Funding: Big-DAMA project
Background
- Research Interests: ML for predictive/proactive scaling in the cloud (time series analysis), Edge ML, Serverless Computing, Security for distributed systems, Fairness, accountability and transparency in ML
- Professional Field: Intelligence and systems, combining data analysis and machine learning for distributed system design, with particular attention to unsupervised methodologies, emphasizing security and parallelization