Student Summit on Mobility, Systems, and Networking


Mobility, systems, and networking technologies are significantly changing our connected world. This fast-paced, one-of-a-kind, two-day summit brings together top graduate students with seasoned engineers and researchers from Microsoft to discuss opportunities in some of the latest computer technologies. We will focus on a wide variety of topics ranging from intelligent clouds to mobile and wearable devices and the networks that connect them.

The summit will provide an opportunity for students from top US universities to give short talks and present posters on their current research, and to receive feedback from seasoned Microsoft engineers and researchers. In addition, some of Microsoft’s top engineers will describe cutting-edge technologies they are in the process of developing.

The goal of this informal event is to create stronger ties between Microsoft’s technical community leaders and the top student researchers in academia, and to discover, together, the next big ideas that will change our world for the better.


Vani Mandava
Alec Wolman
Victor Bahl


Monday, February 1

Time Session
Registration and breakfast

Welcome, introductions, and agenda

Victor Bahl, Distinguished Scientist, Microsoft Research


Student lightning talks: session 1


Student lightning talks: session 2



Big Data Challenges in a Product GroupJohannes Gehrke, Distinguished Engineer, Applications and Services Group


Student lightning talks: session 3


Student lightning talks: session 4


Poster session and cocktails

  • Efficient System Support for Continuous Mobile Vision – Robert LiKamWa, Rice University
  • CAreDroid: Adaptation Framework for Context-Aware Applications on Mobile Phones – Salma Elmalaki, University of California, Los Angeles
  • TARDiS: A Branch and Merge Approach to Weak Consistency – Natacha Crooks, University of Texas, Austin
  • Simplifying Software-Defined Network Optimization Using SOL – Victor Heorhiadi, University of North Carolina
  • Hyperbolic Caching: Better and More Modular Priority Functions for Web Apps – Aaron Blankstein, Princeton University
  • Personalizing Pervasive Services with Small Data Traces – Longqi Yang, Cornell University
  • Meeting Latency Bounds of Wearable Cognitive Assistance – Zhuo Chen, Carnegie Mellon University
  • CFA: A Practical Prediction System for Video QoE Optimization – Juchen Jiang, Carnegie Mellon University
  • Sleep Stage Mining Using Wireless Signals – Ruth Vinisha Ravichandran, University of Washington
  • Subways: A Case for Redundant, Inexpensive Data Center Edge Links – Vincent Liu, University of Washington
  • Scalable Network Forensics – Matthias Vallentin, University of California, Berkeley
  • Micro Load Balancing in Data Centers with DRILL – Soudeh Ghorbani, University of Illinois, Urbana–Champaign
  • A Versatile Gateway Architecture for City-Scale Sensing – Brad Campbell, University of Michigan
  • ZCSI: A New NF Framework – Aurojit Panda, University of California, Berkeley
  • Distributed Transactions on Geo-spatial Data – Kai Mast, Cornell University
  • Neutral Net Neutrality: Expressing User Preferences with Network Cookies – Yiannis Yiakoumis, Stanford University

Tuesday, February 2

Time Session

Student lightning talks: session 5




Breakout sessions

Working group 1: Cloud and big data systems
Moderator: Srikanth Kandula, Senior Researcher, Microsoft Research

Distributed storage, cloud virtualization, containers and tools, systems for data analytics, resource management, trusted cloud, replication, geo-distribution

Working group 2: Mobile and wearable systems
Moderator: Venkat Padmanabhan, Principal Researcher, Microsoft Research

Micro-data centers (cloudlets), sensing, energy management, mobile services, continuous mobile vision, gaming, app analytics, security and privacy

Working group 3: Networking
Moderator: Jitu Padhye, Principal Researcher, Microsoft Research

Network programming, edge networking, software-defined networking, data center networking, virtualization, middle-boxes, verification, monitoring and diagnostics

Working group 4: Wireless systems
Moderator: Bozidar Radunovic, Researcher, Microsoft Research

Low-cost access, RF for sensing, energy harvesting, mm-wave networking, MIMO and smart antennas, localization

Working group 5: Internet-of-Things
Moderator: Ratul Mahajan, Principal Researcher, Microsoft Research

Architecture; edge computation; security; low-power wireless; apps for the enterprise, home, and manufacturing; network of cameras; smart objects; sensing


Lunch and Talk

The Intelligent CloudVijay Narayanan, Partner Director of Software Engineering, Machine Learning and Data Science, Cloud and Enterprise


Microsoft Engineering talks


Working group presentations & Feedback

Best Student Presentation Award & Best Student Poster Award

Wrap-up and next steps – Vani Mandava, Senior Program Manager & Victor Bahl, Microsoft Research


Keynote Speakers

Johannes Gehrke

Johannes GehrkeJohannes Gehrke is a Distinguished Engineer at Microsoft where he is working on the Office Graph, Delve, and Office 365. He is part of the Office 365 Senior Leadership Team. From 1999 to 2005, Johannes was the Tisch University Professor at Cornell University with research in database systems and data science, where he graduated 24 PhD students. Johannes has received a National Science Foundation Career Award, an Arthur P. Sloan Fellowship, a Humboldt Research Award, an IEEE Computer Society Technical Achievement Award, and a Blavatnik Award for Young Scientists from the New York Academy of Sciences. He co-authored the undergraduate textbook Database Management Systems (McGrawHill (2002), currently in its third edition), used at universities all over the world. Johannes is an ACM Fellow. Johannes was Program co-Chair of SIGKDD 2004, VLDB 2007, ICDE 2012, SOCC 2014, and ICDE 2015. From 2007 to 2008, he was Chief Scientist at FAST, a Microsoft Subsidiary.

Vijay K Narayanan

Vijay K NarayananVijay K Narayanan leads the Algorithms and Data Science efforts in the Information Management and Machine Learning group in Microsoft, where he works on building and leveraging machine learning platforms, tools and solutions to solve analytic problems in diverse domains. Earlier, he worked as a Principal Scientist at Yahoo! Labs, where he worked on building cloud based machine learning applications in computational advertising, as an Analytic Science Manager in FICO where he worked on launching a product to combat identify theft and application fraud using machine learning, as a Modeling Researcher at ACI Worldwide, and as a Sloan Digital Sky Survey research fellow in Astrophysics at Princeton University where he co-discovered the ionization boundary and the four farthest quasars in the universe.

He received a Bachelor of Technology degree from IIT, Chennai and a PhD in Astronomy from The Ohio State University. Narayanan has authored or coauthored approximately 55 peer-reviewed papers in astrophysics, 10 papers in machine learning and data mining techniques and applications, and 15 patents (filed or granted). He is deeply interested in the theoretical, applied and business aspects of large scale data mining and machine learning, and has indiscriminate interests in statistics, information retrieval, extraction, signal processing, information theory and large scale computing.

Engineering Talks

Deepak Bansal

Deepak BansalDeepak Bansal runs the Software Defined Network (SDN) team for Microsoft. He has been leading Networking for Azure since 2008, being a member of the founding team for Microsoft Azure. He pioneered the implementation and deployment of SDN in Microsoft Azure scaling it to millions of customer networks and delivering millions of automated customer initiated network changes per day. He is active member of the SDN community, chairing configuration management working group in ONF and part of ONF board. Prior to Azure/SDN, he led the development of NetIO TCP/IP stack and IPv6 implementation for Windows. He has masters and bachelors in computer science from MIT and IIT Delhi respectively. He holds over 20 issued patents. His areas of interest include SDN, NFV, congestion control, wireless networks, network protocols, cloud, distributed systems, reliability and scale.

Abolade Gbadegesin

Abolade GbadegesinAbolade Gbadegesin works on the foundation for apps across Windows, Windows Phone, Xbox, and other Microsoft devices as a developer in the Microsoft Windows and Devices Group (WDG). Prior to his work in WDG, Abolade helped to build the original Windows Phone product and, before that, he worked on the cloud storage backend for OneDrive (formerly SkyDrive). He also led the design of the cloud services for Live Mesh and the first major overhaul of the core networking technologies for Windows. Abolade holds a Bachelor’s Degree in Computer Science from Harvard University.

Sriram Rao

Sriram RaoSriram Rao leads CISL, an applied research group that works closely with Microsoft’s Big Data teams (namely, Scope/Cosmos/HDInsight). He has been closely involved in building a scale-out resource management infrastructure using Hadoop/YARN and tiered storage. He also collaborates extensively with MSR researchers. He has published papers at top conferences such as SIGCOMM, Eurosys, VLDB, and SOSP. Prior to Microsoft, Sriram was the primary designer/implementer of KFS (Kosmos filesystem) which was subsequently released as an open source project. KFS has since been deployed on large clusters at Quantcast, where it has become their primary data store and is used to process over 20PB/day. Since joining Microsoft in 2012, he has been a strong advocate for embracing/enhancing OSS infrastructure components as a way to (quickly) develop new services on Azure.

Student Attendees

Fadel Adib
Massachusetts Institute of Technology
Radhika Mittal
University of California, Berkeley
Bharathan Balaji
University of California, San Diego
Matt Mukerjee
Carnegie Mellon University
Aaron Blankstein
Princeton University
Saman Naderiparizi
University of Washington
Brad Campbell
University of Michigan
Rajalakshmi Nandakumar
University of Washington
Zhuo Chen
Carnegie Mellon University
Vasuki Narasimha Swamy
University of California, Berkeley
Natacha Crooks
University of Texas at Austin
Srinivas Narayana
Princeton University
Xianzheng Dou
University of Michigan
Aurojit Panda
University of California, Berkeley
Ayush Dubey
Cornell University
Pat Pannuto
University of Michigan
Salma Elmalaki
University of California, Los Angeles
Jonathan Perry
Massachusetts Institute of Technology
Soudeh Ghorbani
University of Illinois at Urbana-Champaign
Ali Razeen
Duke University
Kiryong Ha
Carnegie Mellon University
Nirupam Roy
University of Illinois at Urbana-Champaign
Victor Heorhiadi
University of North Carolina
Colin Scott
University of California, Berkeley
Peng Huang
University of California, San Diego
Clay Shepard
Rice University
Junchen Jiang
Carnegie Mellon University
Anirudh Sivaraman
Massachusetts Institute of Technology
Lavanya Jose
Stanford University
Chunzhi Su
University of Texas at Austin
Lei Kang
University of Madison, Wisconsin
Matthias Vallentin
University of California, Berkeley
Amit Levy
Stanford University
Deepak Vasisht
Massachusetts Institute of Technology
Xiaozhou Li
Princeton University
Ruth Vinisha Ravichandran
University of Washington
Robert Likamwa
Rice University
He Wang
University of Illinois at Urbana-Champaign
Vincent Liu
University of Washington
Longqi Yang
Cornell University
Alex Mariakakis
University of Washington
Yiannis Yiakoumis
Stanford University
Kai Mast
Cornell University
Pengyu Zhang
University of Massachusetts Amherst
Addison Mayberry
University of Massachusetts Amherst
Irene Zhang
University of Washington