I was born in India but lived in Japan for a few years. Before joining Stanford, I obtained my Bachelor’s from the Indian Institute of Technology (IIT) Madras in Metallurgical and Materials Engineering with a minor in Assistive Technologies. I also had the opportunity to pursue research in Germany and Canada during my undergraduate studies.
Honors & Awards
Young Engineer's and Scientist (YES) Award, Honda Foundation Japan (Feb 2015)
MItacs Globalink Scholarship, Mitacs, Canada (May 2015 - Aug 2015)
Education & Certifications
B.Tech., Indian Institute of Technology Madras (IIT Madras), Metallurgical and Materials Engineering (2016)
Machine Learning, Deep Learning, Parallel (CPU, GPU) programming, assistive technologies, Materials Science, Molecular dynamics, Networks
Graph generation using Probe Vehicles through GPS Data, Indian Institute of Technology Madras, India
Built a graph representing the map of the city by assigning nodes on paths taken by probe vehicles. Utilized Python to build an unsupervised learning module (DBSCAN) to identify bus stops, signals and terminals with over 90% accuracy.
- Noorul Sharik, Student, Indian Institute of Technology Madras
Correlation between the misorientations and stored energy gradients at the grain boundaries, Indian Institute of Technology Madras, India
Simulated elastic deformation of polycrystals and calculated the distributions in stored energy in Abaqus. Generated 3-D polycrystals with Dream3D and utilized R to find the correlation between misorientation angles and the energy gradient
IIT Madras, Chennai, India
Globalink Research Intern, University of Saskatchewan, Canada (5/1/2015 - 8/1/2015)
I was selected for a research internship in Canada under the Mitacs Globalink Scholarship program. I worked with Prof. Raymond Spiteri of the Computer Science department at the University of Saskatchewan, on ‘Rational Design of Advanced Materials’. The goal was to predict material properties and functionality which will enable an unprecedented acceleration in the discovery of new materials. Specifically, we were looking for new superhard materials similar to diamond which were mechanically and thermodynamically stable. Hitherto, the research group used an evolutionary algorithm (Particle Swarm Optimization (PSO)) to find the lowest energy structures with VASP. Subsequently the identified structures were verified for mechanical stability using Quantum Espresso.
During my internship, I introduced a multi-objective optimization to identify thermodynamically stable materials that simultaneously satisfied the hardness criterion, leveraging an iterative procedure built around PSO. This was challenging, as PSO was originally intended to optimize only for a single parameter. With this change, we could identify structures that were missed by the earlier method. I also automated the verification of mechanical stability through phonon calculations with Quantum Espresso. This approach thus provided a superior tool to identify structures that satisfied the required functionality while also saving significant amount of time to obtain and verify results.
Research Assistant, TU Darmstadt, Germany (2014)
I worked with Prof. Karsten Albe at the Materials Modelling Division, TU Darmstadt, Germany.
I Investigated the unexpected behavior in the mechanical properties of Carbon Nano Tube Forests both with/without bi-silicon layers using Molecular Dynamics Simulations.
Summer Intern, Ashok Leyland, India (6/18/2014 - 7/31/2014)
Performed failure and material analysis through destructive evaluation of components to ensure quality at suppliers’ end and for root cause diagnostics.
Web Operations Coordinator, Indian Institute of Technology Madras, India (8/1/2013 - 4/15/2014)
Responsible for student-based websites and development of software modules that helped conduct student body elections
IIT Madras, Chennai, India