Apoorva Jindal


Post Doctoral Research Fellow
Department of Electrical Engineering and Computer Science,
University of Michigan.
EECS 4230, 1301 Beal Ave
Ann Arbor, MI 48109.
Electronic Mail: apoorvaj@umich.edu





Brief Bio
I completed my B.Tech. in Electrical Engineering from IIT Kanpur in 2002, after whch I worked for Atrenta Pvt Ltd, a start-up in CAD-VLSI based in Noida. I then completed my Master's and PhD from the University of Southern California in May 2009. I used to work in the Networked Systems Performance and Design Lab with Prof. Konstantinos Psounis. I am currently working as a Post-Doctoral Research Fellow at the University of Michigan with Prof. Mingyan Liu. My research primarily focusses on protocol design and performance analysis of wireless multi-hop networks.


Research Projects
I have worked on a variety of research projects varying from theoretical works on deriving fundamental performance limits and modeling to pure systems like implementing rate control schemes for wireless mesh networks and developing location based services for cellphones.
  1. Dissertation - Random Access is Good Enough to Build Wireless Multi-Hop Networks. We formally show that it is possible to achieve the same degree of performance with IEEE 802.11 in multi-hop networks as the state-of-the-art approximations to optimal scheduling.
  2. Contention-Aware Performance Analysis of Mobility-Assisted Routing Schemes for Delay Tolerant Networks. We derive expressions for the expected delay of different routing schemes proposed for Delay Tolerant Networks, and use the analysis to answer several pertinent questions.
  3. Modeling spatially-correlated sensor network data. We propose a Markovian model to capture spatial correlation in sensor network data, and verify it using real traces. Download Tools
  4. Building Location-based Services for Cellphones while Respecting User Privacy. Unlike prior works to maintain privacy which tradeoff privacy and application quality, we explored an orthogonal tradeoff between privacy and resource usage.
  5. Structure of the Mobile Web. We perform a statistical analysis of Mobile Web Data to understand its structural properties.



Vita etc
Curriculum Vitæ/Résumé: PDF


Publications

Teaching Teaching Assistant for
  • Fall 2004, Spring 2005, Fall 2005
    EE465: Probabilistic methods in computer systems modeling.
  • Summer 2005
    EE450: Introduction to Computer Networks.
  • Spring 2006
    EE650: Advanced Topics in Computer Networks: Applications of Optimization Theory in Wired and Wireless Networks.


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