Publications (Peer-reviewed)
Ryan Rossi and Jennifer Neville: Modeling the Evolution of Discussion Topics and Communication to Improve Relational Classification, In Proc. of the 1st SOMA Workshop, 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010. [Paper] [Slides] Also a [Poster]
Jean-Louis Lassez, Ryan A. Rossi, Axel E. Bernal: Crick's Hypothesis Revisited: The Existence of a Universal Coding Frame, IEEE International Conference on Bioinformatics and Life Science Computing, AINA/BLSC, 745-751, 2007. [PDF], Presented in the US, Russia, Japan, Thailand and Canada at various conferences and keynotes. [Slides]
Jean-Louis Lassez, Ryan Rossi, Kumar Jeev: Ranking Links on the Web: Search and Surf Engines, Lecture Notes of Artificial Intelligence, IEA/AIE, 199-208, 2008. [PDF] [Slides]
Jean-Louis Lassez, Ryan Rossi, Stephen Sheel, Srinivas Mukkamala: Signature Based Intrusion Detection using Latent Semantic Analysis, IEEE International Joint Conference of Neural Networks, IJCNN, 1068-1074, 2008. [PDF]
John Stamey, Jean-Louis Lassez, Ryan Rossi, Daniel Boorn: Client-Side Dynamic Metadata in Web 2.0, ACM Press, SIGDOC, 155-161, 2007. [PDF]
Ryan Rossi: Latent Semantic Analysis of the Languages of Life, ISICA, CCIS 51, 128-137, 2009.
Mark W. Powell, Ryan A. Rossi, and Khawaja S. Shams: A Scalable Image Processing Framework for Gigapixel Mars and Other Celestial Body Images, IEEE Aerospace, 2009. [PDF]
Khawaja S. Shams, Mark W. Powell, Tom M. Crockett, Jeffrey S. Norris, Ryan Rossi, Tom Soderstrom: Polyphony: A Workflow Orchestration Framework for Cloud Computing, 10th IEEE/ACM Inter. Conf. on Cluster, Cloud and Grid Computing, CCGrid 2010. [PDF] Also (Amazon AWS Case Study: NASA JPL’s Desert Research and Training [txt])
Brian Taylor, David Jensen, Mark Corner, Ryan Rossi: Experimental Methods for Improving the Design of Participatory Sensing Systems, 2010 (In preparation for submission).
John Stamey, Ryan Rossi: Automatically Identifying Relations in Privacy Policies, SIGDOC, ACM Press, 233-238, 2009. [PDF]
Technical Reports
Ryan Rossi: Discovering Latent Graphs with Positive and Negative Links to Eliminate Spam in Adversarial Information Retrieval, NASA JPL 2009. [PDF]
Personal Information
Mailing Address:
Purdue University
Dept of Computer Sciences
305 North University Street
West Lafayette, IN 47907-2066
Office: HAAS G77
Email: rrossi [at] purdue.edu
Phone: (843) 240-9811
I am a Ph.D. Student in Computer Science at Purdue University.
My research focuses on prediction and modeling of large dynamic networks.
My work is supported by the NSF Graduate Research Fellowship, National Defense Science and Engineering Graduate Fellowship and the Purdue Andrews Fellowship. Previously, I was a research assistant at Lawrence Livermore National Laboratory, the Naval Research Laboratory (AI Center), Jet Propulsion Laboratory (NASA), California Institute of Technology, Knowledge Discovery Lab at University of Massachusetts Amherst, New Mexico Tech and Coastal Carolina University.
A complete list of my publications can be found at DBLP, Google Scholar, MS Academics, or my Social Graph.