My main research interests include:

 

  1. Energy-Managed Systems (EMS): with continuing advances in CMOS process technology, new computation and communication capabilities have been developed, enriching the system design choices. Concurrently, energy consumption has become a major system design concern. Ideally, the problem of managing the energy consumed by computing devices should be addressed at all levels of system design - from low-power circuits and architectures to applications and systems which are capable of dynamically adapting to the available energy source. My research work has focused on low-power hardware as well as energy-aware application software targeting the EMS. The two key features of an EMS are 1) it makes use of power-efficient hardware components and power-aware system and application software, 2) it can dynamically reconfigure itself to provide the requested services and performance levels with minimum energy consumption.  Along the first line, I have developed techniques for low power sequential circuit design and FPGA mapping whereas along the second line, I have designed policies for concurrent adaptive modulation scaling and decoder length adjustment and effective techniques for dynamic backlight scaling in TFT LCD’s. 

 

 

  1. Lifetime-aware Application specific Sensor Networks (LASN): The problem of maximizing the service lifetime of a distributed battery-powered sensor network for an specific application is addressed in this research. In this regard I have developed and formulated the problem of lifetime maximization in context of the network interdiction problem. The network interdiction or network inhibition problem models the computation of a strategy to stop attacks on the capacity of a flow network. The simplest version of the network interdiction problem can be formulated as the minimization of the maximum achievable undesirable flow through a network subject to constraints on the interdiction resources. The problem was studied under user-specified initial energy and probability of detection constraints. A two-step solution technique was proposed in which in the first step the safeguarding constraints were satisfied and in the latter step the scheduling problem was solved to maximize the network lifetime. Experimental results showed orders of magnitude increase in network lifetime.

 

 

 

  1. Stochastic and Combinatorial Optimization: I am also very interested in applied statistical modeling, combinatorial problem solving, and algorithm design. My new research interests include applying these mathematical tools in different fields, such as computational biology, quantum computing, and nano-circuit design.