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Intel 2012 PhD Fellowship Winners

Recognizing future technology leaders

PhD Fellowship Winners

Technology Leaders Point Us to the Future

Intel drives and participates in a wide array of education-related programs worldwide whose goals are to improve the quality of education and train students to be future technology leaders themselves. The Intel PhD Fellowship program focuses on research in Intel’s technical areas; Hardware Systems Technology and Design, Software Technology and Design, and Semiconductor Technology and Manufacturing. A total of 18 fellowships were awarded in 2012. This prestigious award recognizes winning students as being tops in their areas of research. Congratulations to all of our winners!

As part of this event, the 2012 U.S. Intel PhD Fellows were recognized and had the opportunity to share their research during a technical poster session. This year’s winners, who each received an Ultrabook™, are:

  • Tamara Denning, University of Washington
  • Da-Cheng Juan, Carnegie Mellon University
  • Alexandra Lippman, University of California Irvine

Winners of the 2012 Intel PhD Fellowships

Christine Andres, University of Michigan

Christine Andres, University of Michigan

Thesis: Sustainable Fabrication of 3D Multi-Scale Architecture of Nanomaterials

Aparna Chandramowlishwaran, Georgia Institute of Technology

Aparna Chandramowlishwaran, Georgia Institute of Technology

Thesis: Performance Tuning and Analysis of the Fast Multiple Method from Multicore to Exascale

Tamara Denning, University of Washington

Tamara Denning, University of Washington

Thesis: A Human-Centered Approach to Security Solutions for Emerging Technologies

Kartik Ganapathi, University of California – Berkeley

Kartik Ganapathi, University of California – Berkeley

Thesis: Tunneling in Low Power Device Design: A Bottom-Up View of Issues, Challenges and Opportunities

Nathan Goulding-Hotta, University of California - San Diego

Nathan Goulding-Hotta, University of California - San Diego

Thesis: GreenDroid: Exploiting Dark Silicon as a New Architectural Resource

Vishal Gupta, Georgia Institute of Technology

Vishal Gupta, Georgia Institute of Technology

Thesis: Energy-Efficient Operation Using Heterogeneous Multicore Processors

Katherine Hartman, Massachusetts Institute of Technology

Katherine Hartman, Massachusetts Institute of Technology

Thesis: Materials Design for a Low-Cost, High Efficiency, Earth-Abundant Solar Cell Material: Tin Sulfide

Luis Jauregui, Purdue University

Luis Jauregui, Purdue University

Thesis: Electron Transport of Massless Fermions in Nano-Devices Based on Graphene and Topological Insulators

Da-Cheng Juan, Carnegie Mellon University

Da-Cheng Juan, Carnegie Mellon University

Thesis: Modeling and Optimizing Multi-Core Systems: A Machine Learning Perspective

Hanjun Kim, Princeton University

Hanjun Kim, Princeton University

Thesis: ASAP: Automatic Speculative Acyclic Parallelization

Alexandra Lippman, University of California - Irvine

Alexandra Lippman, University of California - Irvine

Thesis: Piracy, Peer-acy, Payola: Technology, Music, and the State in the Remaking of IP in Brazil

Ishita Mukhopadhyay, Cornell University

Ishita Mukhopadhyay, Cornell University

Thesis: Variation Tolerant Calibration Circuits for High Performance I/O

Michael Papamichael, Carnegie Mellon University

Michael Papamichael, Carnegie Mellon University

Thesis: Redesigning NoCs in the Face of Emerging SoC Platforms

Matthew Pelliccione, Stanford University

Matthew Pelliccione, Stanford University

Thesis: Vertical Field-Effect Transistor Based on Wave-Function Extension

Michele Saad, University of Texas at Austin

Michele Saad, University of Texas at Austin

Thesis: Natural Scene and Motion Statistics Model-Based Video Quality Assessment

Matthew Spencer, University of California - Berkeley

Matthew Spencer, University of California - Berkeley

Thesis: Design Considerations for Nano-Electromechanical Relay Based VLSI Systems

Jared Strait, Cornell University

Jared Strait, Cornell University

Thesis: Graphene Plasmonics for Terahertz-Frequency Device Applications

Kai Wang, University of California - San Diego

Kai Wang, University of California - San Diego

Thesis: Optical Character Recognition in the Wild