Computational Engineering

Computational Engineering

Nikita Kelwada ISM 1

START

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

Stephen Hawking

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

Nikita Kelwada

Choosing A Research Topic

Computational Engineering

VS

VS

Computer Engineer

Computational Engineer

Computer Scientist

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

designs hardware and software components.

develops operating systems for computers.

Research

Research

Application

Application

The Solution

The Issue

Computational Engineering

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

Research

Aerospace/ Aeronautical

Application

Aerospace

Computational Engineers help develop:

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

Research

Aerospace/ Aeronautical

Application

Natural Sciences

Natural Sciences

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

Research

Aerospace/ Aeronautical

Application

Natural Sciences

Healthcare

Healthcare

Computational Engineering can:

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

Interviews/Mentor

Interviews

Suresh Jayaraman

Linda Devenney

Navikenz Head of IT Architecture

Fidelity Vice President Data Architecture

Neeraj Madan

IBM Data Science Leader

Suresh Jayaraman

Navikenz Head of IT Architecture

Navikenz

Notable Projects

Takeaways

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

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

Empathy ”To innovate is to care“

Linda Devenney

Fidelity Investments Vice President Data Architecture

Fidelity

Notable Projects

Takeaways

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

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

"Innovation is everywhere. It is always expanding"

Neeraj Madan

IBM Data Science Leader

IBM

Notable Projects

Takeaways

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

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

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

About 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

Original Work

The Inspiration

Antarctic Ozone Hole

Human emmitted ozone depleting chemials: Excessive Chlorine and Bromine

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

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

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.

The Process

The Product

Moving Forward

Final Product

FP Goals:

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

Coming Soon!

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

Thank you!

Index

Mission

Quote

Title

Overview

Research

About me

Natural Sci

Healthcare

Aerospace

1st Int.

2nd Int.

3rd Int.

Mentor Bio

Inspiration

Process

Product

FP

Application