PhD Candidate at New York University, working in the field of spintronics, spin-based devices and their applications.
School of Engineering, New York University2017
Master of Science, Electrical Engineering
National Institute of Technology Trichy, India2015
Bachelor of Technology, Electrical and Electronics Engineering
School of Engineering, New York University
Teaching Assistant
TA for graduate course on Nanoelectronic devices.
From: January 2017 to May 2017
School of Engineering, New York University
Teaching Assistant
TA for undergraduate course on Nanoelectronic devices.
From: January 2017 to May 2017
School of Engineering, New York University
Teaching Assistant
TA for undergraduate Probability.
From: September 2016 to December 2016
Centre for Nano Science and Engineering, Indian Institute of Scie
Summer Research Intern
TCAD simulations of Double Gate MOSFETs and MIS structures with high-k gate dielectrics, comparing performance of different gate dielectrics.
From: May 2014 to July 2014
Aeronautical Development Agency
Summer Intern
Modeling of Linear Variable Differential Transformer for displacement sensors in flight actuators.
From: May 2013 to July 2013
Solid State Physics Laboratory
Intern
Modeling and testing of Thin Line Towed Hydrophone Arrays for underwater sensing.
From: December 2012 to January 2013
Journal Articles
- Rangarajan, Nikhil, Arun Parthasarathy, and Shaloo Rakheja. "A spin-based true random number generator exploiting the stochastic precessional switching of nanomagnets." Journal of Applied Physics 121.22 (2017): 223905.
- Rangarajan, Nikhil, et al. "Energy-Efficient Computing with Probabilistic Magnetic Bits–Performance Modeling and Comparison against Probabilistic CMOS Logic." IEEE Transactions on Magnetics (2017).
- Ament, Sebastian, Nikhil Rangarajan, and Shaloo Rakheja. "A practical guide to solving the stochastic Landau-Lifshitz-Gilbert-Slonczewski equation for macrospin dynamics." arXiv preprint arXiv:1607.04596 (2016).
Other Publications
- Rangarajan, N., A. Parthasarthy, N. Kani, and S. Rakheja. "Voltage-tunable stochastic computing with magnetic bits." In Magnetics Conference (INTERMAG), 2017 IEEE International, pp. 1-2. IEEE, 2017.
Research Interests
- Spin-based logic and memory devices.
- Novel devices, materials and architectures for beyond-CMOS computing.
- Quantum computation and superconductivity.
General/Collaborative Research
- Developing and evaluating numerical solvers for nanomagnetic simulations.
- Simulation of switching mechanisms in nanomagnets.
- Developing and modeling spin-based logic devices, oscillators and hybrid spin CMOS systems.
- Design of a spin-based True Random Number Generator.
- Security with spintronics devices.
Affiliations
Quantum Nanoelectronics Lab (QNL), School of Engineering, New York University
- Athanasios Papoulis award for Graduate Teaching Excellence in Electrical and Computer Engineering (April 2017).
- Ersnt Weber Fellow of the Electrical and Computer Engineering department, NYU Tandon School of Engineering (September 2015 – August 2017).
