Fall 2013:  CIS 110 - Introduction to Computer Science
Spring 2013:  CMSC 380 - Relational Network Analysis
Spring 2013:  CMSC 246 - Programming Paradigms
Fall 2012:  CMSC 206 - Data Structures
Fall 2012:  CMSC 110 - Introduction to Computing
Spring 2012:    CMSC 372 - Artificial Intelligence
Spring 2012:    CMSC 206 - Data Structures

Past courses taught at Bryn Mawr, Swarthmore, and UMBC

I'm happy to announce the online textbook Artificial Intelligence for Computational Sustainability:  A Lab Companion with Doug Fisher, Bistra Dilkina, and Carla Gomes.  This is an experiment in crowd-sourced textbook creation, intended to supplement an AI course with assignments related to sustainability.  We presented papers on this project at AAAI'12 and Computational Sustainability 2012.

Contact Information

Mailing Address:
University of Pennsylvania
Computer and Information Science Dept.
Levine Hall
3330 Walnut Street
Philadelphia, PA 19104-6309


Office: TBA
Phone: TBA
Fax: TBA

Office Hours (Summer 2013):
By appointment only

About Eric

Eric Eaton is a faculty member in the Department of Computer and Information Science at the University of Pennsylvania. Prior to joining Penn, he was a Visiting Assistant Professor in the computer science department at Bryn Mawr College, a senior research scientist in the Artificial Intelligence research group at Lockheed Martin Advanced Technology Laboratories and part-time faculty at Swarthmore College. Eric received his Ph.D. in computer science from the University of Maryland, Baltimore County (UMBC), focusing on artificial intelligence and machine learning. His dissertation developed methods for selective knowledge transfer between learning tasks and was advised by Marie desJardins. At UMBC, he was a member of the Multi-Agent Planning and LEarning (MAPLE) research group and also a part-time instructor.

Further details are provided in his curriculum vitae.


My primary research interests are in the areas of artificial intelligence and machine learning, with a focus on the following topics:

  • Lifelong learning of multiple sequential tasks over long time scales,
  • Knowledge transfer between learning tasks, and
  • Interactive AI methods that combine system-driven active learning with extensive user-driven control over learning and reasoning processes.

I am also interested in applications of AI to medicine, search and rescue, and space exploration.

Details of my research on these topics can be found on my research and publications pages. This research has also produced a number of software packages, which I make freely available for academic and not-for-profit use.

This research is currently funded by:

  • ONR Grant #N00014-11-1-0139, PI (Co-PI: Terran Lane)
  • ONR Contract #N00014-10-C-0192 via Lockheed Martin ATL, PI

Recent News

I have an Opening for a Postdoctoral Research Assistant at Penn.

Paul Ruvolo will be leaving his postdoc to become an Assistant Professor at Olin College. Congratulations, Paul!

In March 2013, I chaired the AAAI 2013 Spring Symposium on Lifelong Machine Learning.

See older news...

Students and Postdocs

I've been fortunate to work with a number of talented students on these research projects.

Current Research Assistants

  • Fangyu Xiong (BS 2015, Haverford College):  lifelong object recognition
  • Gabriel Ryan (BS 2013, Swarthmore College):  lifelong RL with Horde

Alumni and Former Students

  • Paul Ruvolo (Postdoc 2012-2013, Bryn Mawr College):  lifelong learning, knowledge transfer
    (Continued to a faculty position at Olin College as an Assistant Professor)
  • Jacy Li (BS 2014, Bryn Mawr College):  lifelong learning
  • Rachel Li (BS 2014, Bryn Mawr College):  relational community detection using Gaussian processes
  • Caitlyn Clabaugh (BS 2013, Bryn Mawr College):  learning to create automatic A vs B music mashups
    (Continued to PhD studies at USC)
  • Rose Abernathy (BS 2013, Haverford College):  social gaming
  • Meagan Neal (BS 2013, Bryn Mawr College):  active multi-task learning
  • Ben Cutilli (BS 2013, Haverford College):  vision and UGV control in USARsim
  • Leila Zilles (BS 2012, Bryn Mawr College):  active transfer learning for sparse language translation
    (Continued to PhD studies at UWashington under an NSF Grad Fellowship)
  • David Wilikofsky (BS 2012, Swarthmore College):  bootstrapping RL with human demonstration
  • Emily Levine (BS 2012, Bryn Mawr College):  learning to predict Parkinson's At Risk Syndrome
  • Steven Gutstein (Postdoc 2011-2012):  lifelong learning, knowledge transfer (Continued to work for JPMorgan)
  • Kerstin Baer (BS 2011, Bryn Mawr College):  continual knowledge transfer
    (Continued to PhD studies at Stanford under an NSF Grad Fellowship)
  • Alexandra Lee (BS 2011, Bryn Mawr College):  visualizing community detection
    (Continued to a Masters program at UWashington)
  • Rachael Mansbach (BS 2011, Swarthmore College):  interactive community detection
    (Continued to PhD studies at UIUC)