3 citations · 6 across the 3 of their papers we have counts for
3 papers
FluTO: Graded Multiscale Fluid Topology Optimization using Neural Networks
Rahul Kumar Padhy, Aaditya Chandrasekhar, Krishnan Suresh
Fluid-flow devices with low dissipation, but high contact area, are of importance in many applications. A well-known strategy to design such devices is multi-scale topology optimiz…
Integrating Material Selection with Design Optimization via Neural Networks
Aaditya Chandrasekhar, Saketh Sridhara, Krishnan Suresh
The engineering design process often entails optimizing the underlying geometry while simultaneously selecting a suitable material. For a certain class of simple problems, the two…
Randomized Algorithms for Large scale SVMs
Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya +1
We propose a randomized algorithm for training Support vector machines(SVMs) on large datasets. By using ideas from Random projections we show that the combinatorial dimension of S…