Michael Alan Chang

Michael Alan Chang

Ph.D. Student at UC Berkeley CS

Email: machang (at) cs (dot) berkeley (dot) edu


Hi! My name is Michael Alan Chang and I am a Ph.D. student in the CS department at UC Berkeley, where I work with Scott Shenker. I research in the areas of cloud computing, systems for distributed machine learning, and computer networks. In particular, I am interested in making it easy for anyone to deploy, orchestrate, and manage complex distributed services; these services range from web applications to distributed training of neural networks. Previously, I was an undergraduate at Princeton University, where I worked on SDN, network resiliency, and network analytics with Jennifer Rexford, Laurent Vanbever, and Theo Benson.

I am supported by a NSF GRFP Fellowship.

In addition to general systems research, I am interested in a variety of fields. In summer 2016, I interned in Transdev, an international public transportation operator. Primarily, my role was to identify opportunities with the Chief Performance Officer to effectively map the future of infrastructure in terms of autonomous vehicles, efficient routing, and predictive maintenance. I believe the future of decades-old transportation industry is in Mobility as a Service (MaaS) and data analytics, and I am involved with initiatives at Berkeley to understand the future of mobility in the Bay Area.

In addition, I have extensive experience handling technology transfer from Stanford University and Princeton University. This involves IP patent prosecution and extensive analysis for commercial viability, and I remain passionate about working on projects that will directly influence the industry.


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