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Liaoruo (Laura) Wang

Ph.D. Candidate
School of Electrical and Computer Engineering
4106 Upson Hall
Cornell University
Ithaca, NY 14853

Email: lwang@cs.cornell.edu
Telephone: (607) 255-8758

Curriculum Vitae: [PDF]
Resume: [PDF] [DOC]

RESEARCH EXPERIENCE

    Graduate Research Assistant, Cornell University, 2008~Present
    Research Areas: Social Network Analysis, Data Mining, Community Detection, Recommendation Systems, Information Retrieval, Topic Discovery, Network Inference
    Committee Members: Prof. John Hopcroft (Chair), Prof. Sidney Resnick, Prof. Tsuhan Chen
  • Mathematical Formulation, Algorithm Design, Implementation, and Performance Evaluation.
  • Analyze large real-world datasets. Develop graph models for social networks and mathematical definitions for communities.
  • Design and implement efficient algorithms for finding communities. Evaluate the performance of these algorithms both theoretically (e.g., error bound, time and space complexity) and empirically (e.g., precision/recall/F-score, Jaccard index, efficiency, scalability).
  • Analyze the dynamic behavior of large social networks. Study how communities overlap and interact with each other. Track and predict how communities evolve over time.
  • Model information diffusion processes. Infer and reconstruct the structure of unknown networks.
  • Categorize social networks according to their fundamental structural properties. Design stochastic growth models to simulate different types of real-world social networks.
    Research Assistant, University of Massachusetts, Amherst, 2006~2007
    Research Areas: Cooperation, Connectivity, Protocols, Wireless Networks
    Committee Members: Prof. Dennis Goeckel (Chair), Prof. Don Towsley, Prof. Patrick Kelly
    • Studied non-coherent physical layer cooperation in extended and dense wireless ad hoc networks.
    • Explored the structural properties (e.g., clustering, percolation) and evaluated the performance (e.g., capacity, connectivity, throughput) of wireless ad hoc networks.
    • Designed novel cooperation systems based on advanced techniques (e.g., distributed beamforming, distributed FSK, cooperative diversity, MIMO) to improve large-scale wireless ad hoc networks. Analyzed the performance and implementation complexity of these systems.

Refer to <Publications> page for more details.