Research

I have delved into a range of projects revolving around Semiconductor Device Physics, Integrated Circuits and Systems, Communication and Signal Processing.

Estimating Memory Cost

Modern computing systems are power hungry. Over my sophomore year, I worked on developing a theoretical framework to estimate the energy expenditure of a memory block drawing inspiration from Markov Chains and Ising Model.

Memory

Fig: Model for Memory

Integrated Circuit Design and Testing

I have worked on Integrated Circuit Design and Testing. I experience in projects ranging from schematic design to layout of chips. Some recent designs I worked on include -

  1. Design of a Programmable X band Filter (9 GHz to 10 GHz) - High Input Power handling capability and selectivity.
  2. Design of a 50 GHz Continuous Time Linear Equalizer for an ADC frontend - High Gain, High linearity.
  3. Design of a 6-bit Ku Band Phase Shifter - Low RMS Phase and Amplitude Errors, High Output P1dB

DAC

Fig: Current Steering DAC (Digital to Analog Converter)

Layout

Fig: Layout of a Transformer

During my stay at IITMSAT, I got to test space grade PCBs and work with state-of-the-art network analysers to characterise amplifiers and splitters in the RF chain.

COMTX

Fig: COM Board on Satellite

Distributed Modelling of Photonic Components

Over the past couple of months, I have worked on Silicon Photonics. I am associated with the Center for Programmamble Photonic Integrated Circuits (CPPICS) at IIT Madras. My contribution has been towards developing Verilog A based compact models for photonic components.

MRM

Ref: Phase Controlled Bistability in Silicon Microring Resonators for Nonlinear Photonics

AI Circuits and Circuit Design Automation

I am interested in the intersection of Machine Learning and Circuit Design.

With the effective use of Machine Leaning in the circuit design sector, we can design robust and efficient chips. Over the last year, I worked on automating RF circuit design. More about my work can be found here.

ALGO

Fig: Algorithm for Automating Circuit Synthesis

Elegant circuit design principles can help in designing better AI hardware. During Fall 24, I enrolled in Neuromorphic Computing to learn about efficient circuit design techniques to accelerate Machine Learning Hardware.

Array Image

Fig: (a) Neural Network Hardware Implementation

RRAM Image

Fig: (b) RRAM Butterfly Curve