About Me

I am currently a student at NJIT, doing my Bachelors. My research interests include High Performance Computing, Parallel Computing, and Big Data. On the weekends, you can find me at the driving range, or the golf course.

Contact Details

Mehtab Sidhu
NJIT
Newark, NJ 07102 US
(123)456-7890
anyone@website.com

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Education

New Jersey Institute o Technology

Bachelors of Science in Computer Science and Math • May 2018

Publications

Sidhu, Mehtab S. Modeling and Optimization of MapReduce-based Scientific Workflows for Big Data Analytics. NJIT Tenth International Undergraduate Summer Research Symposium; July 27, 2017; Newark, New Jersey: Provost Undergraduate Summer Research

• Deployed Hadoop on Amazon EC2 cluster.
• Developed and executed traditional MapReduce programs.
• Investigated research focusing on improving MapReduce performance by exploring methods to implement hierarchical (parallel) structure.
• Modified the Hadoop Online Prototype (HOP) for hierarchical process.
• Developed and executed hierarchical MapReduce Programs.
• Concluded that the Hierarchical structure improved efficiency of MapReduce by 50-70% for certain applications.

Research

Large Scale Graph Processing on High Performance Computing Cluster

Fall 2017

• Setup Message Passing Interface (MPI) cluster with 18 machines.
• Implemented a program to compute the dot product in parallel.
• Implemented a program to multiply 2 matrices in parallel.

Stochastic Modeling of Membrane Fouling

Fall 2017

• Studied the movement of particles passing through a porous membrane.
• Developed a 2D simulation in Python of particles passing through a membrane pore.
• Varied pore shape, size, and diameter to identify when for maximum/minimum resistance. • Implemented A STAR heuristic path finding algorithm to identify blocked pores.

Independent Research (Sophomore)

Fall 2015

• Studied bioinformatics-related and biological data.
• Researched Short Genetic Variations (SNP) at the National Center for Biotechnology Information (NCBI) database.
• Wrote programs in Python to extract function information related to an SNP. Specifically, we were interested in SNPs located at the coding region of the genes.
• I queried the sample rs numbers. If a pattern was found, we extracted the SNPs, and generated yes/no depending on whether they are located inside coding regions.

Skills

  • C
  • Java
  • Python
  • php
  • HTML5
  • JavaScript

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Client Testimonials

  • Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven't found it yet, keep looking. Don't settle. As with all matters of the heart, you'll know when you find it.

    Steve Jobs

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    Mr. Adobe

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