Andrea Morichetta
Scholar

Andrea Morichetta

Google Scholar ID: UikbMngAAAAJ
University Assistant (Postdoc), TU Wien (Distributed System Group)
Deep LearningComputing continuumUnsupervised LearningInterpretabilitySecurity
Citations & Impact
All-time
Citations
938
 
H-index
15
 
i10-index
20
 
Publications
20
 
Co-authors
54
list available
Resume (English only)
Academic Achievements
  • - 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