Frank Cangialosi
Contact
Email: frankc@mit.edu, frank@cs.umd.edu
Phone: +1 410 375 7977
Webpage: http://www.cs.umd.edu/∼frank
Education
Massachusetts Institute of Technology, Cambridge, MA
Ph.D. Student in Computer Science
3122 A.V. Williams
8223 Paint Branch Dr.
College Park, MD 20742
University of Maryland, College Park, MD
B.A. in Economics with Honors, May 2016
B.S. in Computer Science with High Honors, May 2016
• Advisor: Dave Levin, Computer Science
• Dean’s List (All Semesters)
Gemstone Program, Honors College
• Advisor: Steven M. Anlage, Center for Nanophysics and Advanced Materials
• Senior Thesis: Time Reversal as a Novel Method of Wireless Power Transfer
Honors and
Awards
1. Best Paper, IEEE WPTC 2016, for Time Reversal as a Novel Method of WPT
2016
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2015
2015
2015
2015
Refereed
Publications
1. Measurement and Analysis of Private Key Sharing in the SSL Ecosystem
Frank Cangialosi, TJ Chung, David Choffnes, Dave Levin, Bruce Maggs, Alan Mislove, Christo Wilson
ACM CCS 2016 (Conference on Computer and Communications Security)
CRA Outstanding Undergraduate Researcher Award, Honorable Mention
DellaTorre-Gannon Research Award, University of Maryland
Student Travel Grant, ACM IMC
Student Scholarship, ACM SoCC
2. Time Reversed Electromagnetic Wave Propagation as a Novel Method of Wireless Power Transfer
Frank Cangialosi, Tyler Grover, Patrick Healey, Tim Furman, Andrew Simon, Steven Anlage
IEEE WPTC 2016 (Wireless Power Transfer Conference)
3. Picocenter: Supporting Long-Lived, Mostly-Idle Applications in Cloud Environments
Liang Zhang, James Litton, Frank Cangialosi, Theophilus Benson, Dave Levin, Alan Mislove
EuroSys 2016 (European Conference on Computer Systems)
4. Ting: Measuring and Exploiting Latencies Between All Tor Nodes
Frank Cangialosi, Dave Levin, Neil Spring
ACM IMC 2015 (Internet Measurement Conference) Long Paper
Invited Talks
Measurement and Analysis of Private Key Sharing in the SSL Ecosystem
• CCS Conference. Vienna, Austria.
Time Reversal as a Novel Method of Wireless Power Transfer
• IEEE WPTC Conference. Aveiro, Portugal.
Ting: Measuring and Exploiting Latencies Between All Tor Nodes
• DC-Area Anonymity, Privacy, and Security Seminar. Georgetown University.
• IMC Conference. Tokyo, Japan.
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November 2016
May 2016
November 2015
October 2015
Teaching
Assistant
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Honors
Project
• CMSC456H: Cryptology, Taught by Jonathan Katz
Fall 2014
Assisted in design of projects that allow students to practice cracking “secure” cryptographic protocols
in realistic settings. Implemented vulnerable multi-threaded servers in C to support connections by thousands of students at once. Currently used in CMSC456 and Jonathan Katz’s Cryptography on Coursera.
Research
Experience
CMSC414:
CMSC412:
CMSC414:
CMSC414:
Computer and Network Security, Taught by Dave Levin
Operating Systems, Taught by Neil Spring
Computer and Network Security, Taught by Dave Levin
Computer and Network Security, Taught by Elaine Shi
Spring 2016
Fall 2015
Spring 2015
Fall 2014
Undergraduate Research Assistant, University of Maryland
12/2013 – Present
Advisor: Dave Levin
Currently focused on improving the practicality and economic efficiency of cloud computing containers and
analyzing the security of the web’s public-key infrastructure.
Gemstone Honors Program, University of Maryland
09/2012 – 05/2016
Advisor: Steven Anlage
Explored the application of nonlinear time reversal to electromagnetic waves in order to design a novel
method of wireless power transfer that is both more efficient and capable of transmitting at greater distances
than today’s state-of-the-art systems.
Professional
Experience
Bridgery Technologies,
Data Scientist
6/2016 – Present
Keepsite, Inc., London, UK
Contractor - Web Developer
Created new data analytics tools for the platform using D3.js and React.
2/2016 – 4/2016
Noble Applications, Madison, Wisconsin
Contractor - Android/iOS Developer
Ported existing iPhone applications to native Android applications.
8/2013 – 1/2014
StudyBlue, Inc., Madison, Wisconsin
5/2013 – 8/2013
Software Engineering Intern
Refactored a large portion of the StudyBlue web app (3.5 million+ users), in order to improve performance
client-side. Developed new study mode for the StudyBlue Android app (100k+ users) based on a RESTful
API and created custom Android display mechanisms.
References
Available upon request.
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