(Michael) Joe DeBlasio

PhD Student, Graduate Student Researcher
Department of Computer Science and Engineering
University of California, San Diego

Email: jdeblasio ATbogus DOT cs DOT ucsd DOT edu. [PGP]
Phone: (503) 770-0006
Snail: Michael (Joe) DeBlasio
UCSD Dept of CSE
9500 Gilman Drive, MC 0404
La Jolla, CA 92093-0404


I am currently a PhD student working in the Systems and Networking group at UC San Diego, where my advisor is Alex Snoeren. I also work closely with Stefan Savage and Geoff Voelker.

I completed my MS in Computer Science at UCSD in July of 2013. I hold a BS with honors in Computer Science from the tiny, but amazing Harvey Mudd College. While there, I worked closely with Christopher Stone and Melissa O'Neill.

Academic Interests

My research interests are widespread throughout systems and security. Right now I'm most interested in studying site and account compromise, and making the internet safer for people.

I'm also interested in internet-born threats generally (botnets, spam), the security that we take for granted (but perhaps shouldn't, like the security of civic infrastructure), and the human elements that affect privacy/security.

Personal Interests

I have a number of side projects working on making the internet more private and safer. When not on a computer, I take portrait and environmental photographs, hiking, and in general enjoying the giant playground we all live in.

Recent or Interesting Research and Work

CISA3: From July 2011 to July 2013 I worked for CISA3, or the "Center of Interdisciplinary Science for Art, Architecture and Archaeology". We perform a diverse range of research relating to documenting and preserving cultural heritage, specializing in cultural heritage diagnostics (assessing the state of cultural heritage to inform further work).

"Exploring the Feasibility of 2D Sparse Matrix Partitioning": Sandia National Labs has developed the Trilinos software framework for large-scale scientific and engineering problems. Large, sparse, matrix-vector multiplications arise frequently in their problems, and distributing the matrix and vector among many processors can produce significant speedup. As a senior capstone project at HMC, we extended the Trilinos support for distributing large matrices, including additional partitioning algorithms and code to visualize and evaluate these partitions, and performed an empirical study of the results.

OCM: At HMC, I spent a summer working on "Observationally Cooperative Multithreading," which is a new model for parallel programming that attempts to simplify process interaction and memory protection. It produced an unpublished paper and a poster at SPLASH '11.

NASA Ames Lunar Micro-Rover: Over two summers at HMC, I worked at NASA Ames Research Center on the Lunar Micro-Rover (LMR) project. The project aimed to develop a small, inexpensive rover platform adaptable for a wide variety of payloads and applications. I developed the core of the Command and Data Handling system that communicated with the rover, and distributed commands to and from the various control systems in operations command.