Michael Alan Chang, PhD

I am a postdoctoral researcher at the UC Berkeley Graduate School of Education. I work with the NSF National Institute of Student-AI Teaming and the Center for Integrated Research in Computing and Learning Sciences (CIRCLS).

Previously, I was a Ph.D. student in the department of computer science at UC Berkeley, where I worked with Scott Shenker. My dissertation work focused on how datacenter infrastructure can assist operators in automatically configuring large-scale distributed applications deployed in a datacenter environment. These configuration tasks include improving end-to-end performance, improving resource efficiency, and guaranteeing that web applications comply with privacy policies.


Contact

EMAIL: michaelc (at) berkeley (dot) edu

Publications
and Projects

PUBLICATIONS

Engaging Youth in Envisioning Artificial Intelligence in Classrooms: Lessons Learned
Michael Alan Chang, Thomas M. Philip, Arturo Cortez, Ashieda McKoy, Tamara Sumner, William Penuel
Rapid Community Report Series

Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
Michael Alan Chang, Shiran Dudy
Human-Centered AI Workshop at NEURIPS, 2022

A Case Study with the PECAS Mediator
Michael Alan Chang, Alejandra Magana, Bedrich Benes, Dominic Kao, Judith Fusco
Digital Promise Dspace

Driving Deep Collaboration in Large, Multi-disciplinary Research Institutes with Conjecture Maps
Michael Alan Chang, Rachel Lieber, Rachel Dickler
AIEd Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking Workshop, 2022

Envisioning a Community Builder Metaphor for a Classroom AI Partner
Jeffrey B. Bush, Indrani Dey, Michael Alan Chang, and Margaret Perkoff
AIEd Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking Workshop, 2022

Blockaid: Data Access Policy Enforcement for Web Applications
Wen Zhang, Eric Sheng, Michael Alan Chang, Aurojit Panda, Mooly Sagiv, Scott Shenker
OSDI 2022

Network Evolution for DNNs
Michael Alan Chang, Aurojit Panda, Domenic Bottini, Lisa Jian, Pranay Kumar, Scott Shenker
SysML 2018

Throttlebot: Performance without Insight
Michael Alan Chang, Aurojit Panda, Yuan-Cheng Tsai, Hantao Wang, Scott Shenker
Arxiv Pre-print

Supercharge me: Boost Router Convergence with SDN
[Sigcomm Abstract], [Arxiv Full-length]
Michael Alan Chang, Thomas Holterbach, Markus Happe, Laurent Vanbever

Chaos Monkey: Increasing SDN Reliability through Systematic Network Destruction
Michael Alan Chang, Brendan Tschaen, Theo Benson, Laurent Vanbever
Sigcomm 2015 (Demo)

Destroying Networks for fun (and profit)
Nick Shelly, Brendan Tschaen, Klaus-Tycho Forster, Michael Chang, Theo Benson, Laurent Vanbever
HotNets 2015


Other Projects

Equivalence Class Snapshots in the Data Plane: A Measurement Framework for Network Analysis and Performance Error Diagnosis
Advised by Jennifer Rexford and Srinivas Narayana
Spring 2016

Computation and Design of Locally connected Internet Exhange Points
Advised by Sanjeev Arora and Nick Feamster
Fall 2016

Website Traffic Analysis: Bursting into Burst level countermeasures
Advised by Prateek Mittal
Spring 2014


Issued Patents

Peer-to-peer Home Automation Management
Michael Alan Chang
US 8190275, Filed June 22, 2009

Intelligent Gateway for Heterogeneous Peer-to-peer home automation networks
Michael Alan Chang
US 8086757, Filed March 23, 2010

Undergrads
Advised

Hantao Wang
Class of 2020
Projects: Throttlebot, Verified Triggers
Research Tenure: May 2017 - present

Yuan Cheng (Anson) Tsai
Class of 2020
Projects: Throttlebot, Verified Triggers
Research Tenure: May 2017 - present

Junkeun Yi
Class of 2021
Projects: Verified Triggers
Research Tenure: May 2018 - present

Gavin Kliger
Class of 2021
Projects: Verified Triggers
Research Tenure: May 2018 - present

Emerson Hsieh
Class of 2021
Projects: Verified Triggers
Research Tenure: May 2018 - present

Michelle Hwang
Class of 2020
Projects: Verified Triggers
Research Tenure: December 2017 - June 2018

Amit Talreja
Class of 2020
Projects: Throttlebot
Research Tenure: May 2017 - October 2017

Alex Fang
Class of 2019
Projects: Throttlebot
Research Tenure: October 2017 - present

Domenic Bottini
Class of 2018
Projects: Network Evolution for DNN Training
Research Tenure: November 2017 - present

Lisa Jian
Class of 2018
Projects: Network Evolution for DNN Training
Research Tenure: October 2017 - present

Pranay Kumar
Class of 2018
Projects: Network Evolution for DNN Training
Research Tenure: October 2017 - present