Here is a link to a presentation listing some of my most recent research:
Nima Maghari Current Research
Time-Based Approach for Analog-to-Digital Conversion
The scaling in CMOS process has decreased the overhead voltage available for transistors. However, it has also resulted in finer time resolution by minimizing the gate-delay. This research aims to use time as a medium in analog to digital conversion for the next generation nanometer CMOS processes.
Scalable and Synthesizable Analog Circuits for Nanometer CMOS
The goal of this research is to synthesize full ADCs using common digital blocks. The goal is to use synthesized digital and semi-analog blocks to replace the common analog blocks. This new approach will fundamentally reshape the design methods for these critical structures and allows the stability and power optimization of digital circuits to enhance analog blocks as well. Stochastic Nyquist rate ADCs as well as oversampling structures are targeted.
In an amputee, the breech of communication between the sensory and the motor systems occurs at the worst place (i.e., in the high-dimensional portion of the sensory motor loop). Therefore prosthetic have to deal with the high-dimensional problem of restoring sensing and motor communications, which is only possible with a huge number of sensors for collecting signals from the motor system and injecting the information from sensory inputs in many places as well. Overcoming this neural-interface-technology challenge is precisely the goal of the IMPRESS project: to develop the portable hardware infrastructure that enables restoration of the failed motor/sensor-system communication.
NanoWatt Power Management Circuitry
Due to large demand for wearable devices and systems, efficient power management circuitry is becoming a critical bottleneck. This project aims to design an LDO with active power consumption of less than 50nW.