Feb 22, 2016 : Indo-German Spring School on Algorithms for Big Data
The Indo-German Spring School on Algorithms for Big Data wants to train young researchers, in particular PhD students and postdocs, in algorithmic solution techniques for big data problems. To this end, we bring leading researchers together that work on big data aspects in different scientific subfields - albeit under the common umbrella of efficient algorithms and data structures for large-scale problems. Besides the training, such a forum would allow the exchange of ideas for solving future challenges in the big data context. Moreover, and at least equally important, the lectures presented by international experts introduce students to unfamiliar areas related to each studentís own expertise. The newly acquired knowledge is likely to improve the studentsí skills and take their scientific achievements to a higher level.
We have also invited selected industrial researchers from India as speakers. Furthermore, interested practitioners would attend and share their experience in discussion rounds. This opening to industry is meant to improve the exchange between theory and practice in both directions. Academic researchers learn about application requirements in practice and, in turn, top-notch academic results may enter industrial solutions sooner. This way the workshop serves as a platform for seeding new collaborations, both between academia and industry but also within academia across the two countries and beyond.
The summer school is generously funded by the IITM Alumni '89 batch and the German Research Foundation (DFG) within the priority programme SPP 1736 Algorithms for Big Data.
Dates: February 22 -- 26, 2016
Venue: CS25, CSE Department, IIT Madras, Chennai.
Program: Available at the ABD