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Past Talks

John Stewart EPRI

John Stewart
Sr. Technical Leader, Cyber Security, EPRI
Securing Grid Control Systems
Friday, January 12, 2018
Sudikoff L045 Trust Lab
12:00 Noon

M. Todd Henderson

M. Todd Henderson
Professor of Law, University of Chicago
Hacking Trust: How the Social Technology of Cooperation Will Revolutionize Government
Thursday, January 11, 2018
Room 003, Rockefeller Center
Sponsored by: Rockefeller Center

Dr. Liz Bowman

Dr. Elizabeth Bowman
U.S. Army Research Laboratory
Artificial Intelligence, Machine Learning and Information: Army Social Computing Research
Tuesday, December 5th
Haldeman 041 Kreindler Conference Room
4:00 PM

Dr. Fabio Pierazzi

Dr. Fabio Pierazzi
Royal Holloway University of London
Network Security Analytics for Detection of Advanced Cyberattacks
Tuesday, November 28th
Sudikoff Trust Lab (L045)
12:30 PM

V.S. Subrahmanian

V.S. Subrahmanian
Dartmouth Distinguished Professor in Cybersecurity, Technology, and Society
Bots, Socks, and Vandals
Tuesday, November 14th
Carson L01
5:00 PM 

Rand Beers

Rand Beers ('64)
Big Data, the Internet, and Social Media:  The Road to the November 2016 Election
Wednesday, November 8th
Haldeman 41 (Kreindler Conference Hall)
4:30 PM 

Fright Night Imge

Wanna See Something REALLY Scary?
ISTS Looks at the Dark Web on Halloween Night
Tuesday, October 31st
udikoff  045 Trust Lab (dungeon)
7:30 PM - RSVP
Space is Limited 

Sal Stolfo

Salvatore J. Stolfo 
Columbia University
A Brief History of Symbiote Defense
Tuesday, October 31st
Rockefeller 003
5:00 PM

Dan Wallach

STAR-Vote: A Secure, Transparent, Auditable and Reliable Voting System

Professor Dan Wallach
Rice University
Thursday April 27, 2017
Carson L01, 5:00 PM

Ben Miller Dragos

Pandora's Power Grid - What Can State Attacks Do and What Would be the Impact?

Ben Miller
Chief Threat Officer, Dragos, Inc.
Tuesday May 2, 2017
Kemeny 007, 4:30 PM
Brendan Nyhan




Factual Echo Chambers? Fact-checking and Fake News in Election 2016.

Professor Brendan Nyhan
Dartmouth College
Thursday May 4, 2017
Rocky 001, 5:00 PM

Dickie George


Espionage and Intelligence

Professor Dickie George
Johns Hopkins University
Thursday May 11, 2017
Rocky 001, 5:00 PM

Dan Wallach

A Nation Under Attack: Advanced Cyber-Attacks in Ukraine

Ukrainian Cybersecurity Researchers
Thursday April 6, 2017
Oopik Auditorium 5:30 PM

ISTS Information Pamphlet



Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
HomeEvents >

Perpetual Computation on Intermittently Powered Embedded Systems*
(*Batteries Not Included)

Monday April 2, 2012 at 4:15, Steele 006
Kevin Fu
University of Massachusetts Amherst
Sponsored by the CS Colloquium


Kevin Fu
Kevin Fu
University of Massachusetts Amherst

Did you hear the one about how many batteries it takes to turn on a Turing machine? None! It's outside the model of computation. Yet it's rather difficult to compute without power. This problem is particularly poignant on tiny embedded systems that resemble smart dust. Batteries overshadow the size of the computer itself. So why not remove the battery?

This talk explores the problems and approaches for computing under such extreme conditions: intermittent power and reboots every few hundred milliseconds. The approaches include low-voltage probabilistic storage on microcontrollers with NOR flash memory (Half-Wits) and energy-aware checkpointing of program state (Mementos). Writing to embedded flash memory at below-specification voltages can reduce energy consumption, but leads to stochastic behavior. The Half-Wits system uses software-only coding algorithms to restore reliability on unmodified hardware by exploiting the electrically cumulative nature of half-written data in write-once bits. Mementos is a software tool that automatically instruments programs with energy-aware checkpoints to protect RAM and registers from power failures. A suite of compile-and run-time tools help to transform long-running programs into interruptible computations. These techniques rethink basic conventions and representations of information for computing platforms that approach the limits of the digital abstraction.


Kevin Fu is an Associate Professor of Computer Science and adjunct Associate Professor of Electrical & Computer Engineering at the University of Massachusetts Amherst. Prof. Fu aims to make embedded computer systems smarter: better security and safety, reduced energy consumption, faster performance. His contributions on trustworthy medical devices and computational RFIDs appear at ACM ASPLOS, ACM SIGCOMM, ACM TECS, ACM/USENIX HotPower, ACM/USENIX MobiSys, IEEE Security & Privacy, IEEE TC, USENIX FAST, USENIX Security, Financial Cryptography, and the Institute of Medicine. Prof. Fu served as a visiting scientist at the Food & Drug Administration, the Beth Israel Deaconess Medical Center of Harvard Medical School, and MIT CSAIL. He is a member of the NIST Information Security and Privacy Advisory Board. Prof. Fu received a Sloan Research Fellowship, NSF CAREER award, and best paper awards from USENIX Security, IEEE S&P, and ACM SIGCOMM. He was named MIT Technology Review TR35 Innovator of the Year. Prof. Fu received his Ph.D. in EECS from MIT. He also holds a certificate of achievement in artisanal bread making from the French Culinary Institute.


Last Updated: 3/30/12