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Past Talks

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
S
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


2012BrochureCover

 

Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu
HomeEvents >

Extending Our Understanding of Human Behavior Through Continuous Sensing

Wednesday, October 23, 2013 at 4:15pm
Location: 006 Steele
Deepak Ganesan
Associate Professor, University of Massachusetts, Amherst
Co-sponsored by ISTS and the Computer Science Colloquium

Abstract

DeepakGanesan
Deepak Ganesan

Our ability to continuously monitor activities, health, and lifestyles of individuals using sensors has reached unprecedented levels --- on-body sensors enable continuous sensing of our physiological signals, smartphones have a plethora of sensors to monitor activity and location, and a growing number of sensors embedded in the physical world enable monitoring of our living spaces. Such ubiquitous sensing promises  to revolutionize our understanding of the social, environmental, and behavioral determinants of a wide range of human activities and health conditions.

Despite its promise, there are fundamental challenges in designing such systems in terms of data processing, sensing, and power. How can we make reliable inferences despite the noisy, uncertain nature of natural environments? How can we expand our understanding of human behavior through more sensors that fully capture our actions, attention, and environmental cues? How can we cope with the burden of having to re-charge a growing ecosystem of wearable sensors?

My talk discusses our ongoing work to address these challenges. From a data perspective, I will talk about leveraging machine learning techniques to detect use of addictive drugs with wearable ECG sensors, and methods to fuse information across diverse continuous sensor sources. From a sensing perspective, I will talk about the design of computational eyeglasses, a wearable sensor that continuously tracks eye and visual context. From a power perspective, I will discuss our work on RF-powered sensor devices that can sense, process and communicate at orders of magnitude less power than a typical battery-powered sensor.

Bio

Deepak Ganesan is currently Associate Professor in the Department of Computer Science at UMASS Amherst. He received his Ph.D. in Computer Science from UCLA in 2004 and his bachelors in Computer Science from IIT, Madras in 1998. He received the NSF CAREER Award in 2006, the IBM Faculty Award in 2008, and a UMass Lilly Teaching Fellowship in 2009. His publications have received awards at various conferences, most recently, a Best Paper Award at ACM CHI 2013, and an Honorable Mention for Best Paper Award at ACM Ubicomp 2013. He was a Program co-chair for ACM SenSys 2010 and IEEE SECON 2013.

Last Updated: 10/21/13