Hello! I'm Sameer.
I'm the co-founder and CTO of Beautylish.
We're building a compelling new retail model centered around providing a
high level of personal service. We help you figure out which products
will work well for you and teach you how to get the most out of them.
We also created Good Molecules.
Good Molecules is a skincare brand designed to help you
see a difference in your skin.
Our ingredients are backed by science, our packaging is safe for
the planet, and our low prices make sure everyone can use it.
I've previously worked on monetization at YouTube, data analytics at Google,
missile interceptors at Lockheed Martin and medical sensor device research
at UC Berkeley.
Writing
Teaching
I'm a strong believer in the power of education and I enjoy teaching:
- I
taught Intro to Computer Science
at Balboa High school as part of
TEALS. I also mentored SF teaching
teams to help TEALS acheive it's mission of establishing a computer
science program at every high school.
- I mentored low-income, high-achieving high school students with
Minds Matter of San Francisco.
- I was a teaching assistant for
CS 61C the third introductory CS class at UC Berkeley in Fall 2006.
You can watch a younger, more handsome version of me give a lecture about
networking.
- I helped develop the Weiner Lecture Archives,
an archive of UC Berkeley CS lectures and corresponding lecture notes.
Publications
I was a Graduate Student at UC Berkeley. My research focused on using wireless
sensor networks for healthcare applications.
-
Framework for Body Sensor Networks
Sameer Iyengar
Thesis, University of California at Berkeley,
May 2008, Berkeley, CA.
-
A Framework for Creating Healthcare Monitoring Applications Using Wireless
Body Sensor Networks
Sameer Iyengar, Filippo Tempia, Raffaele Gravina, Antonio Guerrieri,
Giancarlo Fortino, Alberto Sangiovanni-Vincentelli
ACM International Conference on Body Area Networks (BodyNets),
March 2008, Tempe, AZ.
-
CareNet: An Integrated Wireless Sensor Networking Environment for Remote Healthcare
[PDF]
Yuan Xue, Stephen Wicker, Philip J Kuryloski, Shanshan Jiang, Roozbeh Jafari,
Ruzena Bajcsy, Yanchuan Cao, Sameer Iyengar
ACM International Conference on Body Area Networks (BodyNets),
March 2008, Tempe, AZ.
-
Spine: Software Framework for Wireless Body Sensor Networks
(Poster)
Sameer Iyengar, Alberto Sangiovanni-Vincentelli
2008 Berkeley EECS Annual Research Symposium,
February 2008, Berkeley, CA.
-
Distributed Segmentation and Classification of Human Actions Using a Wearable
Motion Sensor Network
Allen Yang, Roozbeh Jafari, Philip Kuryloski, Sameer Iyengar, S. Shankar Sastry
and Ruzena Bajcsy
UC Berkeley EECS Technical Reports,
December 6, 2007, Berkeley, CA.
-
Distributed Segmentation and Classification of Human Actions Using a Wearable
Motion Sensor Network
Allen Yang, Roozbeh Jafari, Philip Kuryloski, Sameer Iyengar, S. Shankar Sastry
and Ruzena Bajcsy
IEEE CVPR Workshop on Human Communicative Behavior Analysis (CVPR4HB),
June 2008, Anchorage, AK.
-
The Weiner Lecture Archives: An Ontology-Driven Interface for Viewing
Synchronized Lectures and Notes
Gene Zhang, Sean Carr, Sameer Iyengar, Hava Edelstein, Albert Liu and
Dan Garcia
SIGCSE '10 Proceedings of the 41st ACM technical symposium on Computer
science education,
2010, New York, NY.
-
A Resource Optimized Physical Movement Monitoring Scheme for Environmental and
on-Body Sensor Networks
Antti Vehkaoja, Sameer Iyengar, Mari Zakrzewski, Roozbeh Jafari, Ruzena Bajcsy,
Steven Glaser, Jukka Lekkala, Shankar Sastry
ACM workshop on Systems and Networking Support for Healthcare and Assisted
Living Environments (HealthNet),
June 2007, Puerto Rico.
Photography
Other Fun Projects
-
Online since 1999 - My first project was a site that linked to popular Java games.
Thanks to the internet archive, you can still see what an
early version
and a
later revision looked like.
-
Notizi: Social RSS reader that recommended news articles based on things a
user's friends liked. I co-founded Notizi along with Casey Ho.
Watch a screencast
of one of our early versions.
-
Smartizen: Application that determined a representatives stance on major issues
by analyzing their voting record in congress. We tagged bills into major topic
areas and displayed how each representative voted on bills in that topic.
-
Popular Now:
A Google Search Trends and Yahoo! Boss Mashup that tweeted out news stories based
on what people were searching for.