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Interdisciplinary Student Project Teams Selected from Center for Science of Information
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Posted in
Center News
: Monday, October 29, 2012
October 23, 2012
News Release: Interdisciplinary Student Project Teams Selected from Center for Science of Information.
The Center for Science of Information announces four project teams of undergraduate and graduate students, together with postdoctoral scholars, and faculty advisors that will investigate interdisciplinary topics related to the primary research thrusts of the Center.
"This effort resulted in students from seven institutions collectively developing projects. Such an experience increases the capacity of these students and postdoctoral scholars to formulate their ideas in terms of problem statements, plan of action, literature review, expected outcomes, and accountability through reporting, mentorship, and peer involvement. Perhaps the largest benefit will be the experience and challenge of working in interdisciplinary teams,"said Brent Ladd, Education Director for th Center.
The four project teams and members:
Understanding Information-Energy Interactions-
Post-doc PI & Advisor: Pulkit Grover (EE, Stanford University & Carnegie Mellon)
Student PI: Karthik Ganesan (EECS, UC Berkeley, advsior: Jan Rabaey)
Student PI: George Alexandrov (EE, Stanford, advsior: Andrea Goldsmith)
A Fresh Look at Boolean Functions-
Post-doc PI/advsior: Thomas Courtade (EE, Stanford/Princeton University)
Post-doc PI/advisor: Pulkit Grover (EE, Stanford University & Carnegie Mellon University)
Student PI: Madars Virza (EE & CS, MIT, advisor: R. Rivest)
Investigation of Metabolic Phenomena Using Information Theory-
Student PI: Frank DeVilbiss (ChemEng, Purdue University, advisor: D. Ramkrishna)
Student PI: Pablo Robles-Granda (CS, Purdue University, advisor: Jennifer Neville)
Student PI: Mohan Gopaladesikan (STAT, Purdue University, advisor: Mark Daniel Ward)
Faculty Advisor: D. Ramkrishna, Chem Eng Purdue University
Faculty Advisor: Maxim Raginsky, ECE, University of Illinois Urbana-Champaign
Graph Inference based on Random Walks-
Post-doc PI/advisor: Thomas Courtade (EE, Stanford/Princeton University)
Student PI: Victoria Kostina (EE, Princeton University, advisor: Sergio Verdu)
Student PI: Suvidha Kancharla (CS, Purdue University, advisor: Jennifer Neville)
Faculty advisor: Jennifer Neville (CS & STAT, Purdue University)
The teams will be presenting overviews of their projects plans to a group of their peers during a student research workshop on December 3 hosted at Purdue and held in Lawson room 3102.
A National Science Foundation Science and Technology Center, the Center for Science of Information mission is to advance science and technology through a quantitative understanding of the representation, communication and processing of information in biological, physical, social, and engineered systems. More about the Center and members is available at http://soihub.org