Michael Zink of the Electrical and Computer Engineering Department co-chaired the first DFG/GENI doctoral consortium, held March 13-15 in conjunction with the 10th GENI Engineering Conference in San Juan, Puerto Rico. The consortium was jointly organized by the Deutsche Forschungsgemeinschaft (DFG) and the National Science Foundation (NSF). GENI, short for Global Environment for Network Innovations, is a unique virtual laboratory for at-scale networking experimentation, in which the brightest minds unite to envision and create new possibilities of future internets. “There were a couple of things I got out of chairing the consortium,” said Dr. Zink. “First of all, it was a pleasure working with these very talented and determined Ph.D. students and guiding them in finding new research topics on which they will work as international teams.”
Zink added that “I hope that I could show them, based on my own experience as a researcher, how important it is to establish international collaborations. Second, it was amazing to observe how hard these students worked to identify new research topics on which they could work as an international team. Finally, after the consortium it was decided to make this an annual event, which will give other students from all over the world the chance to attend this event.”
Conference attendees included 32 graduate students from universities across the United States and Germany. In addition, a consortium "faculty" drawn from academia, industry, and government was on hand to assist the students in organizing and planning their ideas.
Dr. Zink earned his M.Sc. in 1997 and his Ph.D. in 2003 from Darmstadt University of Technology. His research interests include Integrative Systems Engineering, sense-and-response sensor networks, sensor virtualization, distribution of high-bandwidth, high-volume data, the design and analysis of long-distance wireless networks, and network measurements. He is affiliated with the Microwave Remote Sensing Laboratory and the Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere. (March 2011)