Sofus' USC Home Page
For more information, see my
rutgers home page.
Statistical Relational Learning, Semi-supervised learning on
networked data (aka. within-network learning), Machine
Mining, User Profiling and Personalized Information Management.
Haym Hirsh was my
advisor in my thesis work on Intelligent Information
Filtering. I was a member of the Rutgers Machine
Learning Research Group, while at Rutgers.
I went to NYU Stern School of
Business as a Research Scientist after I graduated, working
with Foster Provost.
I next went to Fetch Technologies
where I was the Director of Fetch Labs, the research division within
Fetch. I helped bring in government funding and I ran the
division for the latter half of my tenure at Fetch.
I am currently on leave from the Information
Sciences Institute at USC
as I am working in the Data Science group at Facebook.
- Editorial Board:
Journal of Artificial Intelligence Research
- Organizing committee:
2014: KDD-2014 (General Chair)
Fourth workshop on evaluation methods in machine learning (2009),
Third workshop on evaluation methods in machine learning (2008),
Second Workshop on Evaluation Methods for Machine Learning (2007),
The Third Workshop on ROC Analysis in ML (2006),
Second workshop on ROC Analysis in ML (2005),
Second ML, IR and UM Workshop (2003),
Third ML4UM Workshop (2001)
- Area Chair or Senior PC:
AAAI-2012 (AI & Web),
AAAI-2011 (AI & Web),
- Program Committee:
Appification of the Web (AppWeb2012),
KDD-2009 (research and industrial track),
Workshop on Grand Challenges for Reasoning from Experiences,
KDD-2008 (research and industrial track),
- Journal Reviewer:
I am a regular reviewer at various journals, including:
Journal of Machine Learning Research (JMLR), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Intelligent Systems, ACM Transactions on Information Systems (TOIS), User Modeling and User-Adapted Interaction (UMUAI), Machine Learning Journal (ML), International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Data Mining and Knowledge Discovery (DMKD), Decision Support Systems (DSS), International Conference Information Systems (ICIS), International Journal of Business Intelligence and Data Mining (IJBIDM).
Selected Talks and Presentations:
- Invited talk, "Mining Social Media: The Importance of Combining Network and Content," The 8th International Conference on Data Mining (DMIN), July 2012.
- Invited talk, "Social Media Analytics: links, user generated content, and more.", Information Sciences Institute, USC, February 2011.
- Invited talk, "Social Media Analytics: links, user generated content, and more.", Rutgers University, September 2010.
- Invited talk/workshop, "Efficient Machine Learning on Large Networks by Leveraging Homophily," Networks and Network Analysis for the Humanities Workshop at UCLA, August 2010.
- Invited speaker, "Learning with Networked Data," Navy Research Labs, May 2010.
- Invited speaker, "Efficient Machine Learning on Large Networks by Leveraging Homophily," Lawrence Livermore National Labs, November 2009.
- Invited speaker, "Semi-supervised Learning in the context of networked data," University of Washington, April 2008.
- Invited speaker, "Semi-supervised Learning in the context of networked data," University of California, Irvine, October 2007.
- Invited speaker, "Improving learning in networked data by combining explicit and mined links," NASA Ames Research Center, August 2007.
- Invited speaker, "NetKit-SRL: A Toolkit for Network Learning and Inference," USC Information Sciences Institute AI Seminar Series, November, 2005.
- Invited speaker, "NetKit-SRL: A Toolkit for Network Learning and Inference," Google Mountain View, November, 2005.
I teach on a regular basis at the Computer Science Department, at the University of Southern California.