Edison Thomaz

About

Teaching

Publications

Vita



I am a Research Assistant Professor in the ECE department at The University of Texas at Austin, with an appointment in the School of Information. My research is in Computational Activiomics and focuses on systems and computational methods for sensing, recognizing and modeling the entire span of people's everyday life activities and context, from individual gestures to life patterns and routines. By enabling the measurement of human behaviors at a finely-grained level of detail and pairing them with bio-physiological signals obtained with environmental and wearable sensors, my work aims to provide a new technical foundation for applications and discoveries at the frontier of human health and behavior such as gene-environment interactions, predictive health from behavior markers, and personal health informatics. Research communities I contribute to include Mobile and Ubiquitous Computing, Activity Recognition, Machine Learning, and HCI.




Education



2010 - 2015
Georgia Institute of Technology, Atlanta, GA
Ph.D. Human-Centered Computing
Area: Ubicomp, HCI, Machine Learning, Health Applications
Advisors: Dr. Gregory Abowd and Dr. Irfan Essa

2000 - 2002
MIT Media Lab, Cambridge, MA
S.M. Media Arts and Sciences
Area: HCI, Context-Aware Computing
Advisor: Dr. Andy Lippman

1995 - 1999
The University of Texas at Austin, Austin, TX
B.A. Computer Science
Undergraduate Research Area: HCI, Multimedia
Advisors: Dr. Harrick Vin and Dr. Greg Lavender




Research & Professional Experience



2016 - Present
The University of Texas at Austin, Austin, TX
Research Assistant Professor
Department of Electrical and Computer Engineering
School of Information

2010 - 2015
Georgia Institute of Technology, Atlanta, GA
Graduate Research Assistant

2007 - 2010
Slife Labs, LLC, Atlanta, GA
Founder and Principal

2004 - 2007
France Télécom R&D, Boston, Cambridge, MA
Research Scientist

2002 - 2004
Microsoft Corporation, Redmond, WA
Program Manager

2000 - 2002
MIT Media Lab, Cambridge, MA
Graduate Research Assistant

2000
Human Code, Austin, TX
Software Engineer




Journals




Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications

Eun Kyoung Choe, Saeed Abdullah, Mashfiqui Rabbi, Edison Thomaz, Daniel Epstein, Matthew Kay, Felicia Cordeiro, Gregory D. Abowd, Tanzeem Choudhury, James Fogarty, Bongshin Lee, Mark Matthews, Julie Kientz

IEEE Pervasive Computing 16 (1), 74-84





Conference Publications




Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams

Roy J. Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin M. Marlin

Proceedings of the 33rd International Conference on Machine Learning (ICML) 2016 | Acceptance Rate: 24%




Detecting Mastication - A Wearable Approach

Abdelkareem Bedri, Apoorva Verlekar, Edison Thomaz, Valerie Avva, Thad Starner

Proceedings of the ACM International Conference on Multimodal Interaction (ICMI) 2015 | Acceptance Rate: 41% (52/127)





Predicting Daily Activities From Egocentric Images Using Deep Learning

Daniel Castro, Steve Hickson, Vinay Bettadapura, Edison Thomaz, Gregory D. Abowd, Henrik Christensen, Irfan Essa

Proceedings of the International Symposium on Wearable Computers (ISWC) 2015 | Acceptance Rate: 32% (39/121)




A Wearable System for Detecting Eating Activities with Proximity Sensors in the Outer Ear

Abdelkareem Bedri, Apoorva Verlekar, Edison Thomaz, Valerie Avva, Thad Starner

Proceedings of the International Symposium on Wearable Computers (ISWC) 2015 | Acceptance Rate: 32% (39/121)




A Practical Approach for Recognizing Eating Moments with Wrist-Mounted Inertial Sensing | Data + Code

Edison Thomaz, Irfan Essa, Gregory D. Abowd

Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp) 2015 | Acceptance Rate: 23% (90/394)




Barriers and Negative Nudges: Exploring Challenges in Food Journaling

Felicia Cordeiro, Daniel A. Epstein, Edison Thomaz, Elizabeth Bales, Arvind K. Jagannathan, Gregory D. Abowd, James Fogarty

Proceedings of the International ACM Conference on Human Factors in Computing Systems (CHI) 2015 | Acceptance Rate: 23% | Best of CHI




Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study

Edison Thomaz, Cheng Zhang, Irfan Essa, Gregory D. Abowd

Proceedings of ACM Conference on Intelligence User Interfaces (IUI) 2015 | Acceptance Rate: 22.9% (47/205) | Best Short Paper





Leveraging Context to Support Automated Food Recognition in Restaurants

Vinay Bettadapura, Edison Thomaz, Aman Parnami, Gregory D. Abowd, Irfan Essa

Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV) 2015 | Acceptance Rate: 36.7% (156/425)




Feasibility of Identifying Eating Moments from First-Person Images Leveraging Human Computation

Edison Thomaz, Aman Parnami, Irfan Essa, Gregory D. Abowd

Proceedings of International SenseCam and Pervasive Imaging Conference 2013





Technological Approaches for Addressing Privacy Concerns When Recognizing Eating Behaviors with Wearable Cameras

Edison Thomaz, Aman Parnami, Jonathan Bidwell, Irfan Essa, Gregory D. Abowd

Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp) 2013 | Acceptance Rate: 18% (71/395)




Recognizing Water-Based Activities in the Home Through Infrastructure-Mediated Sensing

Edison Thomaz, Vinay Bettadapura, Gabriel Reyes, Megha Sandesh, Grant Schindler, Thomas Ploetz, Gregory D. Abowd, Irfan Essa

Proceedings of the ACM International Conference on Ubiquitous Computing (Ubicomp) 2012 | Acceptance Rate: 19% (58/301)





Doctoral Consortium




Practical Food Journaling

Edison Thomaz

Doctoral School, Ubicomp 2013







Referred Workshop Papers




Disasters in Personal Informatics: The Unpublished Stories of Failure and Lessons Learned

Jon E. Froehlich, Matthew Kay, Jakob Eg Larsen, Edison Thomaz

Ubicomp 2014 Workshop: Disasters in Personal Informatics: The Unpublished Stories of Failure and Lessons Learned







A Human-Centered Conceptual Model for Personal Health Informatics Data

Edison Thomaz

CHI 2013 Workshop: Personal Informatics in the Wild: Hacking Habits for Health & Happiness





Hydrostream: A Platform for Collecting, Annotating and Analyzing Water Pressure for Health Applications

Edison Thomaz, Thomas Ploetz, Irfan Essa, Gregory D. Abowd

CHI 2012 Workshop: Personal Informatics in Practice






Interactive Techniques for Labeling Activities Of Daily Living to Assist Machine Learning

Edison Thomaz, Thomas Ploetz, Irfan Essa, Gregory D. Abowd

Workshop on Interactive Systems in Healthcare (WISH) 2011





Thesis




Automatic Eating Detection in Real-World Settings with Commodity Sensing

Edison Thomaz

Ph.D. Human-Centered Computing, Georgia Tech, 2016







Developing Distributed Contextualized Communication Services

Edison Thomaz

S.M. Media Arts & Sciences Thesis, MIT Media Lab, 2002





Funded Grants



2017
Optimizing a Technology Based Intervention to Improve Glycemic Control for Teens with Type 1 Diabetes

Source: NIH
Amount: US$40,000
PIs: Dr. Catherine Stanger
The University of Texas at Austin

2012
Understanding Family Health and Wellness by Monitoring Patterns of Daily Living With Single-Point Water-Based

Source: Humana GVU Seed Grant
Amount: US$50,000
PIs: Dr. Gregory D. Abowd, Dr. Irfan Essa, and Dr. Thomas Ploetz
Georgia Institute of Technology, GA




Invited Talks



2017
Keynote, NSF Workshop on Smart and Connected Health, Tyler, TX


2016
Symposium, Society of Behavior Medicine Annual Meeting
Research Seminar, Lyle School of Engineering, SMU, Dallas, TX
Texas FreshAir Conference, San Antonio, TX
Research Colloquia, School of Information, UT Austin, Austin, TX


2015
Interactice Computing, Georgia Institute of Technology, Atlanta, GA
ECE, The University of Texas at Austin, Austin, TX
CSE, University of California San Diego, La Jolla, CA

2014
People-Aware Computing Group, Cornell University, Ithaca, NY

2013
Atlanta Data Science Meetup, Atlanta, GA
Emory University, Dept. of Math & Computer Science, Atlanta, GA
Atlanta Workshop on Computational Social Science, Atlanta, GA

2011
Humana C3, 2011, Louisville, KY
Quantified-Self Conference, Mountain View, CA
Georgia Gerontology Annual Conference, Athens, GA
Georgia Tech GVU/CDC Workshop, Atlanta, GA
Georgia Tech Aware Home Seminar, Atlanta, GA

2006
Modeling and Retrieval of Context Workshop, AAAI, Boston, MA




Teaching



Spring 2017
INF385T/INF350E - Personal Informatics
School of Information
The University of Texas at Austin

Fall 2016
EE382V - Activity Sensing and Recognition
Dept. of Electrical and Computer Engineering
The University of Texas at Austin

Spring 2016
INF385T - Personal Informatics
School of Information
The University of Texas at Austin

Spring 2013-15
CS4605/CS7470 - Mobile and Ubiquitous Computing
"Infrastructure-Mediated Sensing" Guest Lecture
Georgia Institute of Technology

Spring 2013
CS8001/CS8002 - HCC Seminar
Georgia Institute of Technology
Co-organizer and Co-Instructor

Fall 2011
CS4605/CS7470 - Mobile and Ubiquitous Computing
Georgia Institute of Technology
Teaching Assistant




Student Advising & Mentorship



2017
Keum San, Ph.D. ECE (UT Austin)
Sarnab Battacharya, M.S. ECE (UT Austin)

2016
Yanxian Liu, M.S. IS (UT Austin)
Sarnab Battacharya, M.S. ECE (UT Austin)

2015
Abdelkareem Bedri, M.S. HCI (Georgia Tech)

2014
David Muñoz, M.S. HCI (Georgia Tech)
Rushil Khurana, M.S. HCI (Georgia Tech),
Arvind Krishnaa, M.S. HCI (Georgia Tech)

2013
Sahil Goyal, M.S. HCI (Georgia Tech)
Minsik Bang, B.S. CS (Georgia Tech)

2012
Megha Sandesh, M.S. HCI (Georgia Tech)
Aman Parnami, M.S. HCI (Georgia Tech)

2002
Dan Ports, M.Eng. EECS (MIT)




Awards & Honors


Best Paper Honorable Mention, ACM CHI 2015
Best Short Paper, ACM IUI 2015
George Fellow 2014
MIT Media Lab British Telecom Fellowship 2001
MIT Media Lab British Telecom Fellowship 2000




Professional Activities & Service



Membership
Association for Computing Machinery (ACM)

Program Committee
IEEE Pervasive Computing and Communications (PerCom), 2017
ACM Ubiquitous Computing (UbiComp), 2016
EAI International Conference on Wearables in Healthcare, 2016
New Frontiers of Quantified-Self 2 Workshop, Ubicomp 2016
Mining Wearable Data for Healthcare Workshop, ICHI 2016
Lifelogging Tools and Applications Workshop, ACM Multimedia 2016

Reviewer
ACM Ubiquitous Computing (UbiComp), 2012–2016
ACM Int. Symposium on Wearable Computers (ISWC) 2015-2016
ACM Designing Interactive Systems (DIS), 2014
ACM Human Factors in Computing Systems (CHI), 2013-2017
ACM Int. Conf. on Intelligent User Interfaces (IUI), 2015
ACM Transactions on Information Systems, 2016
ACM Int. Conf. on Mobile Systems, Apps, and Services, 2017
PACM Interative, Mobile, Wearable and Ubiquitous Tech 2016
IEEE Journal of Biomedical and Health Informatics, 2014
IEEE Transactions on Human-Machine Systems, 2016
Pervasive and Mobile Computing Journal, 2016
Workshop on Lifelogging Tools and Applications 2016
Sensors, 2016

GVU Center
Spring/Fall Research Showcase, 2011-2015



Research Assistant Professor
Dept. of Electrical and Computer Engineering
School of Information
The University of Texas at Austin

ethomaz at utexas dot edu
Twitter: @ethomaz

Offices: UTA 7.231
1616 Guadalupe Street
Austin, TX 78701