Selected Publications

Quick links: Security, Autonomc/P2P, Bio-med, Education, Computer vision, Ultracomputers

• Security
  • Eric Freudenthal and Bivas Das, VPAF: a Flexible Framework for Establishing and Monitoring Prolonged Authorization Relationships, Collaboratecom 2009 (IEEE). to appear
  • Eric Freudenthal, David Herrera, Steve Gutstein, Ryan Spring, and Luc Longpre, Fern: An Updatable Authenticated Dictionary Suitable for Distributed Caching, Proc. MMM-ACNS, Sept. 2007.
  • Christian Servin, Martine Ceberio, Eric Freudenthal, and Stefano Bistarelli, An optimization approach using soft constraints for the cascade vulnerability problem, Proc. NAFIPS (IEEE), June 2007.
  • Eric Freudenthal and Vijay Karamcheti, dRBAC: Distributed Role-Based Access Control for Dynamic Coalition Environments, Proc ICDCS (IEEE), 2002. **
• Autonomic and Self-organizing Systems
  • Ryan Spring and Eric Freudenthal, Sloth-NFS and the Possibility of Using Fuzzy Contrl to Optimze Cache Management, Proc. NAFIPS, 2008 (NYC).
  • Michael Freedman, Eric Freudenthal, and David Mazieres, Democratizing Web Content Distribution Using Coral, Proc. NSDI (USENIX), 2004.*
  • Eric Freudenthal and Vijay Karamcheti, DisCo: Middleware for Securely Deploying Decomposable Services in Partly Trusted Environments, Proc. ICDCS (IEEE), 2004. **
• Biomedical Communication
  • Eric Freudenthal, Virgilio Gonzalez, Brian A. Carter, An Anti-Entropy Protocol Suitable For Managing Data Deletion in an Epidemic Data Transmission System, Proc. 24th Southern Biomedical Engineering Conference, April, 2008.
  • Eric Freudenthal, David Herrera, Frederick Kautz, Carlos Natividad, Alexandria Ogrey, Justin Sipla and Leonardo Estevez, Suitability of NFC for Medical Device Communication and Power Delivery, Proc. IEEE/Engineering in Medicine and Biology Workshop, November 2007
  • Ryan Spring, Eric Freudenthal and Leonardo Estevez, Practical Techniques for Limiting Disclosure of RF-Equipped Medical Devices, Proc IEEE/Engineering in Medicine and Biology Workshop, November 2007.
• Computer Science Education
  • Computational CS0: An Introduction to Computer Science, College Math, and Dynamic Systems
    • Project homepage.
    • List of publications.
      Upcoming: Eric Freudenthal, Mary K. Roy, Alexandria Ogrey, Alan Siegel, and Ann Q. Gates, A Computational Introduction to Programming, Mathematical Modeling, and Elementary Mechanics, Proc. Frontiers in Education, 2009.
  • Systems
    • Eric Freudenthal, Brian Carter, and Rafael Escalante, Responding to Java-Centric CS Curricula: Integration of C into a Course in Computer Organization, Proc. Frontiers in Education, October 2009.
    • Eric Freudenthal and Brian Carter, A Gentle Introduction to Addressing Modes in a First Course in Computer Organization,, Proc. Annual Conference of the American Society of Engineering Education (ASEE), June 2009.
    • Eric Freudenthal, Frederick Kautz, Bivas Das, and Luc Longpre, A Virtualized Network Teaching Laboratory, Proc. Annual Conference of the American Society of Engineering Education (ASEE), June 2009.
    • Virgilio Gonzalez, Eric Freudenthal, and Homer Nazaran, Work in progress: Wireless Biomedical Data Collection - A Laboratory to Prepare Students for Emerging Engineering Areas , Proc. Annual Conference of the American Society of Engineering Education (ASEE), June 2009.
    • Eric Freudenthal, Brian Carter, Frederick Kautz, Alexandria Ogrey, Robert Preston and Arthur Walton, Integration of C into an Introductory Course in Machine Organization, Proc. Annual Conference of the American Society of Engineering Education (ASEE), June 2008.
    • Eric A. Freudenthal, Brian A. Carter, Frederick F. Kautz, and Alexandria N. Ogrey, Work in Progress - Combined Introduction of C and Assembly with a Focus on Reduction of High-level Language Constructs.
• Computer Vision
  • Steven Gutstein, Olac Fuentes and Eric Freudenthal, Knowledge Transfer in Deep Convolutional Neural Nets, International Journal on Artificial Intelligence Tools (IJAIT) (accepted for publication).
  • Steven Gutstein, Olac Fuentes and Eric Freudenthal, The Utility of Knowledge Transfer for Noisy Data, Proceedings of FLAIRS-08 Conference, Coconut Grove, Florida, May 2008.
  • Steven Gutstein, Olac Fuentes and Eric Freudenthal, Knowledge Transfer in Deep Convolutional Neural Nets, Proc. FLAIRS-07 Conference, Key West, Florida, May 2007
  • John Wissinger, Robert Ristroph, Joseph Diemunsch, William Severson, and Eric Freudenthal, MSTAR's Extensible Search Engine and Model-based Inferencing Toolkit, Proc. SPIE 1999.
  • Eric Freudenthal, Eugene Lavely, William Pierson, Mariam Argyle and Joshua Fishman, ATR complexity and template set size, Proc. SPIE 2001.
• Ultracomputer (high performance systems)
  • Eric Freudenthal and Allan Gottlieb, Process Coordination with Fetch & Increment, Proc. ASPLOS (ACM & IEEE), 1991. ** ( TR version: UCN-159)
  • Eric Freudenthal and Allan Gottlieb, Debunking then Duplicating Ultracomputer Performance Claims by Debugging the Combining Switches, Proc. WDDD (ISCA, IEEE), 2004.

Highly selective conferendes are indicated by asterisks:

• (**) ~ 25%
• (*) < 20%