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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

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A Nation Under Attack: Advanced Cyber-Attacks in Ukraine

Ukrainian Cybersecurity Researchers
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Oopik Auditorium 5:30 PM

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You Don't Own Your Car
Craig Smith
OpenGarages
Tuesday May 10, 2016 
Carson L02 @4:15

David Safford

 

Hardware Based Security for GE's Industrial Control Systems
David Safford
GE Global Research
Tuesday May 17, 2016
Carson L02 @4:15

 

DanTentler

"It's Fine," They Said. "Just Ship It," They Said.
Dan Tentler
The Phobos Group
Tuesday April 12, 2016 
Carson L02 @4:15

Harold Thimbleby

 

 

 

The Best Way to Improve Healthcare is to Improve Computers
Harold Thimbleby
Swansea University
April 23, 2015

Craig Shue

 

 

 

Managing User-Level Compromises in Enterprise Network
Craig Shue
Worcester Polytechnic Institute
March 31, 2015

 

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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