Dr. Narayan Ganesan is currently working within the framework of parallel computing, where his research focuses on hybrid computing (i.e., GPU/CPU/multi-core/SIMD), reconfigurable hardware (FPGAs), and heterogeneous computer architectures. As the increase of sequential processing speed approaches its physical limitations, researchers are looking to parallel computing to maintain technological advancement. Dr. Ganesan has worked to broaden the class of applications in which parallel computing can be effectively exploited in order to promote advances in dynamic programming and computational biology, computational finance, signal processing, and Monte Carlo and particle filtering methods.

In the Electrical and Computer Engineering department at Stevens, Dr. Ganesan’s research will focus on the application of High Performance Computing to the study of massively large systems (financial, biochemical, engineering, and social), the interface of large complex biochemical systems, and the application of engineering principles to those problems.

Dr. Ganesan is also working to control decoherence to maximize the benefits afforded by quantum systems. Quantum information and computation strategies enable secure communication and faster computation, and quantum devices overcome the size limitations of current semi-conductor based transistors so that quantum circuits are much smaller and power-efficient. The biggest stumbling block to harnessing quantum speedup is the loss of information caused by decoherence. Dr. Ganesan’s work on quantum control helps eliminate decoherence for a broad class of quantum systems and will improve the design of future quantum devices.

Beyond his research focus in high performance computing and Quantum Control, Dr. Ganesan‘s interests include Bioinformatics, Systems and Computational Biology, Robotics and Automation/Wireless Communications, Nanotechnology, and Mathematical Systems Theory.