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Computational Engineering

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Computational Engineering

Nikita Kelwada

Created on February 20, 2023

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START

Nikita Kelwada ISM 1

Computational Engineering

Stephen Hawking

"I am just a child who has never grown up. I still keep asking these 'how' and 'why' questions. Occasionally, I find an answer."

My mission is to embrace a growth mindset, maintain my curiosity, and inspire it in others.

Nikita Kelwada

Choosing A Research Topic

uses computers and advanced computational methods to analyze and solve engineering problems.

Computational Engineer

VS

Computational Engineering

designs hardware and software components.

develops operating systems for computers.

Computer Scientist

Computer Engineer

VS

Research

Research

Application

Computational Engineering

The Solution

The Issue

  1. Due to complex designs, modern day engineering has become expensive
  1. Many manual experiments can:
    1. negatively impact the environment
    2. be time consuming
    3. wasteful of resources
  • Allows engineers to construct, test, and improve experimental problems with low risk through technology
  • Ensures optimal success in real life engineering problems before manually testing/implementing

VS

Application

Research

Aerospace/ Aeronautical

Application

Computational Engineers help develop:

  • flight software
  • on-board control panel
  • virtual wind tunnel simulations
  • improved aerodynamic and propulsion system structures

Aerospace

Research

Aerospace/ Aeronautical

Natural Sciences

Application

Computational Engineers can:

  • Study the Big Bang in different conditions
  • Analyze impacts of meteor strikes
  • Create N-Body Simulations
  • Create Weather Predictions
  • Simulate and study:
    • Dark matter collisions
    • Interstellar star formations
    • Black hole mergers
    • Particle acceleration

Natural Sciences

Research

Healthcare

Aerospace/ Aeronautical

Natural Sciences

Application

Computational Engineering can:

  • graph algorithms for genome mapping
  • innovate drug discovery
  • study protein folding
  • develop predictive surgery
  • predict cancer development
  • predict other cardiovascular diseases

Healthcare

Interviews/Mentor

IBM Data Science Leader

Neeraj Madan

Fidelity Vice President Data Architecture

Linda Devenney

Interviews

Navikenz Head of IT Architecture

Suresh Jayaraman

Notable Projects

Empathy ”To innovate is to care“

Takeaways

Uses computational engineering to simulate protein folding which aids in drug discovery.

Artificial Intelligence centered IT Service company that helps other companies implement AI into their business process.

Navikenz

Navikenz Head of IT Architecture

Suresh Jayaraman

Notable Projects

"Innovation is everywhere. It is always expanding"

Takeaways

Used methods common in CSE to track fraudulent activity on elderly consumer's financial accounts to improve cybersecurity.

Fidelity Investments operates a brokerage firm, , provides investment advice, retirement services, wealth management, and life insurance, among others

Fidelity

Fidelity Investments Vice President Data Architecture

Linda Devenney

Technology is something that can be implemented anywhere. There are many opportunities to combine interests.

Takeaways

Created and tested algorithms/software that assisted a police department in solving local bike theft crimes.

Notable Projects

IBM serves as a major research and development corporation, and is also known for producing computer software.

IBM

IBM Data Science Leader

Neeraj Madan

Experience

  • Adjunct Professor of Data Science at Collin College
  • Expert at the Data Scientist Profession Working Group
  • Data Science Leader; IBM Cloud Client Experience
  • Executive Chair on Keep Little Elm Beautiful Org

Education

  • Bachelors in Mathematical Science at Delhi University
  • Masters in Business Analytics at the Carey School of Business in Arizona State University

About Neeraj Madan

Original Work

Great learning experience in which I used various elements of computer science and data science that a CSE engineer would use in their day to day tasks.

Offers an opporutnity to practice computing with large data sets, an inevitable challenge in any enginering experiment.

Commonly sourced from human practices and items such as: coolants in refrigerators, air conditioning, aerosol spray, etc.

Human emmitted ozone depleting chemials: Excessive Chlorine and Bromine

Antarctic Ozone Hole

The Inspiration

The Process

The Product

Moving Forward

Computational engineer a design for a physical product, which can be 3D Printed into a physical tool/item.

Create a computational model of an engineered product made through java programming.

FP Goals:

Coming Soon!

Final Product

Thank you!

Index

Inspiration

Overview

FP

Quote

Product

About me

Mentor Bio

Title

Healthcare

Aerospace

Natural Sci

1st Int.

Mission

2nd Int.

3rd Int.

Research

Application

Process

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