John Chuang

I am a Professor in the School of Information at UC Berkeley, with an affiliate appointment in EECS. My research interests are in bio-sensory computing (brainwave authentication, ear EEG, socio-physiological computing) and information economics, policy, and ethics (network economics, peer production, security and privacy).

I direct the BioSENSE Lab, a multidisciplinary research team studying the application potentials and stewardship challenges of ubiquitous bio-sensing technologies.

I received my Ph.D. in Engineering and Public Policy from Carnegie Mellon University, M.S. in Electrical Engineering from Stanford University, and graduated summa cum laude in Electrical Engineering from the University of Southern California.

More information: Research Publications, Google Scholar, CV




What's New

Congratulations Richmond Wong and co-authors for receiving the Best Paper Award at CSCW 2018 for the paper Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks.

Congratulations Max Curran and Nick Merrill for receiving the Best Student Paper Award at PhyCS 2018 for the paper Exploring the Feasibility and Performance of One-Step Three-Factor Authentication with Ear-EEG.

Congratulations Richmond Wong and Nick Merrill for receiving a Best Paper Honorable Mention Award at DIS 2018 for the paper When BCIs have APIs: Design Fictions of Everyday Brain-Computer Interface Adoption.

Congratulations MIMS'18 Final Project teams: AR Wave, Conquer Lyme, and Clinico.

Nick Merrill and I co-taught Mind-Reading and Telepathy for Beginners and Intermediates in Fall 2017.

Elaine Sedenberg and I gave a talk on the application frontiers and challenges of ubiquitous biosensing at DataEDGE Conference 2017. (Video)

Passthoughts and In-Ear EEG in the news: Techonomy, Neo.Life, CNET, KRON4 TV, IEEE Spectrum, CNET, and more.


Recent Papers

Faking it, Making it: Fooling and Improving Brain-Based Authentication with Generative Adversarial Networks
T. Piplani, N. Merrill, J. Chuang. Proceedings of IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018), October 2018.

Exploring the Feasibility and Performance of One-Step Three-Factor Authentication with Ear-EEG
M. Curran, N. Merrill, S. Gandhi, J. Chuang. Proceedings of 5th International Conference on Physiological Computing Systems (PhyCS 2018), September 2018.
Best Student Paper Award

When BCIs have APIs: Design Fictions of Everyday Brain-Computer Interface Adoption
R. Wong, N. Merrill, J. Chuang. ACM Conference on Designing Interactive Systems (DIS 2018), June 2018.
Best Paper Honorable Mention Award

From Scanning Brains to Reading Minds: Talking to Engineers about Brain-Computer Interface
N. Merrill, J. Chuang. ACM CHI Conference on Human Factors in Computing Systems (CHI 2018), April 2018.

A Window into the Soul: Biosensing in Public
E. Sedenberg, R. Wong, J. Chuang. In Surveillance, Privacy and Public Spaces, by Newell, Timan, Koops (eds.), Routledge, March 2018.

Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks
R. Wong, D. Mulligan, E. Van Wyk, J. Pierce, J. Chuang. PACM on Human-Computer Interaction, Vol. 1, No. 2, Article 111, November 2017. (CSCW 2018 Online First)
Best Paper Award

Given Enough Eyeballs, All Bugs are Shallow? Revisiting Eric Raymond with Bug Bounty Programs
T. Maillart, M. Zhao, J. Grossklags, J. Chuang. Journal of Cybersecurity, October 2017.

Is the Future of Authenticity All In Our Heads? Moving Passthoughts From the Lab to the World
N. Merrill, M. Curran, J. Chuang. New Security Paradigms Workshop (NSPW ’17), October 2017.

Designing Commercial Therapeutic Robots for Privacy Preserving Systems and Ethical Research Practices Within the Home
E. Sedenberg, J. Chuang, D. Mulligan. International Journal of Social Robotics, August 2016.

Passthoughts Authentication with Low Cost EarEEG
M. Curran, J. Yang, N. Merrill, J. Chuang. Proceedings of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), August 2016.

Classifying Mental Gestures with In-Ear EEG
N. Merrill, M. Curran, J. Yang, J. Chuang. Proceedings of IEEE EMBS 13th Annual International Body Sensor Networks Conference (BSN 2016), June 2016.

Full List of Publications



Teaching

INFO 234 Information Technology Economics, Strategy, and Policy
INFO 290 Sensors, Humans, Data, Apps
INFO 290 Research Seminar on Ubiquitous Sensing
INFO 290T Mind-Reading and Telepathy for Beginners and Intermediates
INFO 295 Doctoral Colloquium


Datasets and Software

Synchronized Brainwave Recordings from a Group Presented with a Common Audio-Visual Stimulus
John Chuang, Nicholas Merrill, Thomas Maillart, and Students of the UC Berkeley Spring 2015 MIDS Immersion Class, May 2015.
Also available on: Kaggle


Synchronized Brainwave Recordings from a Group Presented with a Common Visual Stimulus
John Chuang, Nicholas Merrill, Thomas Maillart, and Students of the UC Berkeley Fall 2014 INFO290 Class, March 2015.


Current Ph.D. Students

Max Curran
Jeremy Gordon (co-advised with Joshua Blumenstock)
Elaine Sedenberg (co-advised with Deirdre Mulligan)

Former Ph.D. Students

Melissa Densmore (University of Cape Town; co-advised with AnnaLee Saxenian)
Michal Feldman (Tel Aviv University)
Jens Grossklags (Technical University Munich)
Paul Laskowski (UC Berkeley)
Ashwin Mathew (UC Berkeley and Packet Clearing House; co-advised with Coye Cheshire)
Nick Merrill (UC Berkeley)

Former Postdocs

Moshe Babaioff (Microsoft Research)
Sonja Buchegger (KTH, Royal Institute of Technology in Stockholm)
Nicolas Christin (Carnegie Mellon University)
Pedro Ferreira (Carnegie Mellon University)
Ahsan Habib (Telenav)
Benjamin Johnson (UC Berkeley)
Thomas Maillart (University of Geneva)
Timo Smura (Verto Analytics)


Trivia


Contact Information

Office: 303A South Hall (directions)
Office hours: Tuesdays 3-4 (Fall 2018)
E-mail: <lastname>@ischool.berkeley.edu

Snail-mail:
School of Information
University of California at Berkeley
102 South Hall #4600
Berkeley, CA 94720-4600

The back of my business card (in chinese).