Barlage, Eun, Wang Receive NSF Career Awards

February 08, 2006
Three faculty members of NCSU’s Electrical and Computer Engineering Department were recently honored for their achievements by the National Science Foundation.  Dr.’s Douglas Barlage, Do Young Eun, and Wenye Wang each received the NSF’s Faculty Early Career Award, effective March 1, 2006.  The award entitles each of the three to $400,000 to continue their research at NCSU over the next five years.  By receiving this award, all three professors have distinguished themselves as some of the brightest young researchers in their fields.

Dr. Barlage will use the funding to continue work on his research project, “Career: Low Dimension Column III-Nitride (III-N) Metal Oxide Semiconductor (MOS) Structures for Terahertz and Gigascale Electronics.” The aim of the research is to demonstrate the potential of wideband-gap semiconductors as low power and massively scalable (>1billion transistors/chip) devices. His work is to demonstrate that these materials can be used to decrease the amount of off-state leakage while still demonstrating enough speed to be a useful product.
In conjunction with the research component of the project, Barlage has developed an education plan that works with 4-H chapters to bring the science of technology to middle school students. One of the components of this program is the RECs, robust electronic communication systems project that is being developed in conjunction with a senior design team. When this project is successful it will allow middle and high-school students to measure complex quantities, typically reserved for high-cost laboratories, and achieve this with an ordinary computer. This work will bring electrical engineering skills to students at a younger age and tap into their natural curiosity.
Dr. Eun has chosen the topic “Career: A Stochastic Approach to the Design of Communication Networks: An Alternative to Fluid Modeling” as his research focus.  The aim of the research is to understand the fundamental limitations of the fluid-based approach and of the deterministic optimization for large networks and then to develop a stochastic framework for large networks in which one can compute the performance metrics more accurately, while at the same time exploiting the simplicity caused by the interaction among many users, seeking to obtain new, efficient design guidelines and algorithms for a number of important networking problems including congestion control, network optimization, and peer-to-peer networks.

Dr. Wang will use her award to research “Career: A Unified Study of Resilience-to-Failure in Multihop Wireless Networks.” The aim of the research is to develop models and algorithms for a deeper understanding of multihop networks when multiple failures are present, and to design optimal network topology that is resilient to node mobility, potential attacks and misbehaviors.