Curriculum Vitae

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Joon Ahn

Ph.D. Candidate
Ming Hsieh Department of Electrical Engineering
Viterbi School of Engineering
University of Southern California, Los Angeles, CA 90089

Email: joonahn at usc dot edu


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Education

  • Ph.D. Candidate in Electrical Engineering -- Jan. 2006 ~ Current
    University of Southern California, Los Angeles, CA
    (Advisor: Prof. Bhaskar Krishnamachari)
  • Master of Science in Electrical Engineering -- Aug. 2007
    University of Southern California, Los Angeles, CA
  • Bachelor of Science in Electrical Engineering -- Feb. 2000
    Seoul National University, Seoul, Korea

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Research Experience

Graduate Research Assistant, Autonomous Networks Research Group, Department of Electrical Engineering, USC (Aug. 2005 ~ Current)
  • Performance Analysis on Propagation Delay Tolerant ALOHA Protocol in Underwater Wireless Networks
    • Derived the throughput of the protocol for both finite and infinite number of nodes
    • Found and proved several analytical characteristics of the throughput
    • Developed approximate expressions for the maximum throughput and its maximizers
  • Scaling Laws for Wireless Sensor Networks
    • Derived fundamental scaling laws for data-centric storage and querying in wireless sensor networks using a constrained optimization framework
    • Found that the scalability of a sensor network’s performance depends upon whether or not the increase in energy and storage resources with more nodes is outweighed by the concomitant application-specific increase in event and query loads
    • Found that 3D uniform deployments are inherently more scalable than 2D uniform deployments, which in turn are more scalable than 1D uniform deployments
  • Data Replication Optimization in Wireless Sensor Networks
    • Considered the problem of optimizing the number of replicas for event information in wireless sensor networks when queries are disseminated using expanding rings
    • Found that event information should be replicated with a frequency that is proportional to the square root of their query rates to minimize the expected total energy cost consisting of search and replication costs, both with and without storage constraints
  • Modeling Search Costs in Wireless Sensor Networks
    • Developed approximate closed-form expressions of expected minimum search energy costs for data-centric wireless sensor networks of various types

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Awards

  • Best Student Paper Award by the USC Electrical Engineering-Systems Department, April 2006.


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Publications

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Teaching Experiences

  • Teaching Assistant of 'Probabilistic Methods in Computer Systems Modeling (EE465)', Electrical Engineering - Systems, University of Souther California, Spring 2006


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Industrial Experiences

  • Software Engineer, Digital & Digital Inc., Seoul, Korea, 2004
    Managed Embedded Linux kernel and contents encryption in HDD for Digital Video Recorder (DVR)
  • Software Engineer, Digital & Digital Inc., Seoul, Korea, 2001 ~ 2002
    Developed SW for DVR including frameworks, database, user interfaces, hardware controller, etc.
  • Software Engineer, Saint Media Co., Seoul, Korea, 2000 ~ 2001
    Developed the image processing applications for MS Windows

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Selected Graduate Courses

  • Design and Analysis of Computer Communication Networks (EE 550) -- Ranked First
  • Broadband Network Architecture (EE 555) -- Ranked First
  • Probabilistic Methods in Computer Systems Modeling (EE 465) -- Ranked First
  • Randomized Algorithm (CSCI 599)
  • Analysis of Algorithms (CSCI 570)
  • Fundamental Concepts of Analysis (MATH 425a)
  • Computational Geometry (CSCI 583)

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Professional Activities

  • Reviewer for Elsevier Computer Networks Journal Special Issue 2007, Computer Networks Journal, VTC2007, Special Issue on Wireless Sensor Networks for the Real-Time Systems Journal 2006