I'm a Ph.D student in the Computer Science Department at CMU advised by Srini Seshan. My research interests are broadly construed as computer networks. Much of my work has been in the areas of network architecture (both high-level design and physical layer manipulation) and mobile systems. I've also done some work with great people at Google involving speeding up the mobile web. I also do a lot of work with these guys.

Before CMU I received my BA in Computer Science and Japanese at Dartmouth College in 2010. I was advised by Andrew Campbell and Tanzeem Choudhury. I received a Masters of Engineering in Computer Science at Cornell University in 2011. I was advised by Daniel Freedman.

When I'm not building a better network, I like to collaborate with musicians around the world via YouTube. I'm also very interested in the Japanese language and culture, having studied abroad at 神田外語大学 (Kanda University for International Studies) in Japan for two summers.

XIA, Carnegie Mellon University
Srini Seshan and Peter Steenkiste

I work under the umbrella of the eXpressive Internet Architecture (XIA) project, a large-scale research project funded by the National Science Foundation (NSF) to effectively design, implement, and evaluate a clean-slate redesign of core internet functionality. XIA seeks to mainly improve the evolvability of the network by providing a simple framework to allow deployment of future means of communication, in addition to providing incredibly flexible routing and intrinsic security.

Video Delivery Network (VDN), Carnegie Mellon University
Srini Seshan, Dongsu Han, and Hui Zhang

It's becoming more and more apparent that video delivery is the major use case of the Internet. Content delivery networks (CDNs) have been mainly focused on providing good quality video on demand (VoD), but live video delivery is often retrofitted to VoD control systems as an after-thought, or ignored entirely. We design and evaluate a system that treats delivering high-quality, highly-scalable, responsive live video as its primary goal; a Video Delivery Network (VDN). VDN uses integer programming at a centralized controller to deliver high-quality video, while simultaneously leveraging intelligence at individual server clusters to make real-time decisions based on local information. This split of intelligence between global control and local control (which we dub hybrid control) allows VDN to be highly responsive to failures and user events. We evaluate this work on real traces as well as on Amazon's EC2 cloud, showing that VDN can delivery high-quality, highly-scalable, responsive live video streams.

Publication: Matthew K. Mukerjee, David Naylor, Junchen Jiang, Dongsu Han, Srinivasan Seshan, Hui Zhang. Practical, Real-time Centralized Control for CDN-based Live Video Delivery. SIGCOMM '15.

Understanding Incremental Deployment, Carnegie Mellon University
Srini Seshan and Peter Steenkiste

The focus of this work is building a fundamental understanding of incremental deployability of new network architectures. Although IPv6 has been around for decades, ease of deployment over IPv4 is still a major concern. My work focused on distilling down four key problems that network architectures need to solve in order to be deployable. We further examine a variety of specific mechanisms that solve these problems, creating a design space of options. We evaluate a select few of these options (modeling current IPv6 deployment techniques as well as XIA) across the US using PlanetLab as a testbed. We find that certain mechanisms prominently featured in XIA (multiple discrete identifiers and fallbacks in forwarding) as well as control plane centralization can help aid in virtually seamless deployment of new network architectures.

Publication: Matthew K. Mukerjee, Dongsu Han, Srinivasan Seshan, and Peter Steenkiste. Understanding tradeoffs in incremental deployment of new network architectures. CoNEXT '13.

BiFocals, Cornell University
Daniel Freedman and Ken Birman

I worked with members of the BiFocals project to research into the cause and effect of high-speed 10 GbE fiber-optic wide-area network burstiness. The burstiness in question happens at a timescale so small (order of microseconds) that conventional computer science techniques (userland software, kernel time-stamping, NIC level time-stamping, etc.) are entirely unable to see these bursts. We thus used high-precision physics equipment to measure the packets in-flight on the actual fiber. These bursts provide an instantaneous data rate of 10 Gbps, potentially overwhelming commodity endpoint servers. We show through experimentation that various common endpoint configurations can provide radically different loss for the same bursty stream.

NeuroPhone, Dartmouth College
Andrew Campbell, Tanzeem Choudhury, Rajeev Raizada

This work focused on probing the intersections of neuroscience and mobile. Given the existence of commodity ("toy") electroencephalography (EEG) headsets ($<300) what are possible applications in the space of mobile? Our system (NeuroPhone) provides a cursory glance at a possible applications in that space, a "brain-powered" address book. The mobile phone presents pictures of contacts on the display and the EEG headset recognizes which contact the user wished to call, due to the contact they expect to appear eliciting a specific brain response ("P300"). This work eventually lead to an NSF EAGER grant.

Publication: Campbell, A. T., T. Choudhury, S. Hu, H. Lu, M. K. Mukerjee, M. Rabbi, R. D. S Raizada. NeuroPhone: Brain-Mobile Phone Interface using a Wireless EEG Headset. SIGCOMM 2010 - MobiHeld 2010, August 2010.


I like to collaborate with tons of musicians from around the world. We mainly play classic rock, old video game tunes, and Japanese TV show themes. I mainly play bass or mix, but you might see me playing classical guitar or keys as well. Below are some recent videos that I've been lucky enough to be a part of: