Scholar
Mark J. Carman
Google Scholar ID: fcPONTQAAAAJ
Associate Professor, DEIB, Politecnico di Milano
Citations & Impact
Citations
2,281
H-index
21
i10-index
48
Publications
20
Co-authors
80
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Expertise in rank learning techniques, crowdsourcing quality control, statistical modeling of text for sentiment and sarcasm detection, and extensive experience with various machine learning techniques including Bayesian networks, graphical and topic modeling, etc.
Research Experience
- Worked at Telstra Research for one year; worked at Fondazione Bruno Kessler; spent two years at the Information Sciences Institute of the University of Southern California during and after his PhD; did a postdoc at Università della Svizzera Italiana in Lugano; joined Monash University as a lecturer and later as a senior lecturer from 2010 to 2018; moved to Politecnico di Milano as an Associate Professor in 2018.
Education
- Graduated with a Bachelor of Electrical and Electronic Engineering and Arts (with First Class Honours) from the University of Adelaide in 2000; received a PhD in Computer Science from the University of Trento in 2006.
Background
- Associate Professor at Politecnico di Milano, teaching courses in Data Science and Artificial Intelligence. His research interests lie in information retrieval and machine learning.
