Sofus' Home Page

Static Email: sofmac@gmail.com Sofus Attila Macskassy Director, Fetch Labs Fetch Technologies 841 Apollo St, Suite 400 El Segundo, CA 90245 Phone: +1 (310) 414-9849 Email: sofmac@fetch.com Assistant Adjunct Professor Computer Science, University of Southern California. Social Networking related: I have a LinkedIn and a Facebook account.

Research Interests:

Statistical Relational Learning, Semi-supervised learning on networked data (aka. within-network learning), Machine Learning, Information Integration/Aggregation/Filtering/Ranking, Text Classification.

---

About me:

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 am now at Fetch Technologies.

---

Service:

• Organizing committee:
  MLG-2010, WSDM-2010, 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:
  ICML-2009
• Program Committee:
  ILP-2010, WWW-2010, KDD-2009 (research and industrial track), SRL-2009, Workshop on Grand Challenges for Reasoning from Experiences, CNIKM-2009, KDD-2008 (research and industrial track), K-CAP 2007, WPRSIUI-2007, AAAI-2006, WPRSIUI-2006, WPRSIUI-2005, ICML-2003
• 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), Internaional Joint Conference on Artificial Intelligence (IJCAI), International Conference on Machine Learning (ICML), International Conference on Data Mining (ICDM), 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:

• (upcoming) Invited talk, Title TBD, Networks and Network Analysis for the Humanities Workshop at UCLA, August 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.

---

Teaching:

I teach on a semi-regular basis at the Computer Science Department, at the University of Southern California.

• Fall 2009: Statistical Relational Learning Seminar (CSCI-599).
• Fall 2008: Machine Learning (CSCI-567).
• Fall 2007: Machine Learning (CSCI-567).
• Spring 2006: Machine Learning (CSCI-567).