Caeley Looney

Austin, Texas Metropolitan Area Contact Info
3K followers 500+ connections

Join to view profile

Activity

Join now to see all activity

Experience & Education

  • Firefly Aerospace

View Caeley’s full experience

See their title, tenure and more.

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Volunteer Experience

  • Girl Scouts of Nassau County Graphic

    Delegate/ Adult Volunteer/ STEM Advisory Board

    Girl Scouts of Nassau County

    - Present 23 years 11 months

    Science and Technology

    I have been an active member of GSUSA for as long as I can remember. After graduating from High School I wanted to continue volunteering with Girl Scouts, and therefore I became a lifetime Adult Member. I am a Girl Scout Delegate, as well as on the STEM Advisory Board.

  • Communications Lead/Outreach Committee/Mentor

    ProjectCSGIRLS

    - Present 10 years

    Science and Technology

    Aided the organization with running and organizing their National Gala for award winning middle school girls excelling in science, technology, and computing. On the Outreach Committee, I was in charge of spreading the word about this organization within my community as well as within my New York home community through organizing events, mentoring girls aspiring to compete in the program, and more. As a mentor, I worked with middle school girls to develop their LEGO Robotics project that set…

    Aided the organization with running and organizing their National Gala for award winning middle school girls excelling in science, technology, and computing. On the Outreach Committee, I was in charge of spreading the word about this organization within my community as well as within my New York home community through organizing events, mentoring girls aspiring to compete in the program, and more. As a mentor, I worked with middle school girls to develop their LEGO Robotics project that set out to help disabled people with around the house work through coding and robotics.

  • Mentor

    She++ Include

    - Present 9 years

    Science and Technology

    As a mentor for the She++ Include Initiative, I mentored an award winning high school student develop an after school and weekend program for female middle school students to get involved in computing using Scratch.

Courses

  • Aerodynamics I (Spring 2016)

    AE 301

  • Aerodynamics II (Fall 2016)

    AE 302

  • Aerospace Materials (Summer 2017)

    AE 316

  • Aerospace Structure I (Fall 2016)

    AE 318

  • Aerospace Structures II (Fall 2017)

    AE 418

  • Aerospace Structures Instrumentation/ Lab (Fall 2017)

    AE 417/ 416

  • Calculus & Analytical Geometry II & III

    MA242 & MA243HON

  • Differential Equations & Matrix Methods (Fall 2015)

    MA345

  • Dynamics (Fall 2015)

    ES204

  • Dynamics and Control w/ Lab (Fall 2017)

    AE 495 I/L

  • Electrical Engineering I (Fall 2016)

    -

  • Experimental Aerodynamics (Spring 2016)

    AE 314

  • Experimental Aerodynamics Lab (Spring 2016)

    AE 315

  • Fluid Mechanics (Fall 2015)

    ES206

  • Graphical Communications (CATIA)

    EGR120

  • Intro to Computing for Engineers (MATLAB

    EGR115HON

  • Intro to Engineering- Honors

    EGR101HON

  • Math Methods Engineering & Physics I (Spring 2016)

    MA 441

  • Physics for Engineers I & II

    PS150 & PS160

  • Physics for Engineers III w/ Lab (Spring 2016)

    PS250/253

  • Principles of Chemistry (Fall 2016)

    PS 139

  • Solid Mechanics (Fall 2015)

    ES202

  • Space Mechanics (Spring 2016)

    AE 313

  • Spacecraft Altitute Dynamics (Fall 2016)

    -

  • Spacecraft Control (Fall 2017)

    AE 434

  • Spacecraft Preliminary Design (Fall 2017)

    AE 427

  • Statics

    ES201

  • Technical Report Writing

    COM221

  • Thermodynamics (Spring 2016)

    ES 305

  • Turbines & Rocket Engines (Summer 2017)

    AE 408

Projects

  • Med Hub

    The Med Hub is a Smart Medical Cabinet with a built in software based lock system. It starts with the doctor. As the doctor meets with his patients he can view how a patient's therapy and care is going based on his tracking of how the patient is reacting to the treatment using our Android Application. This first application allows doctors to update prescriptions for each patient as well as view the patient's medication schedule. The mobile Android Application comes fully equipped with a built…

    The Med Hub is a Smart Medical Cabinet with a built in software based lock system. It starts with the doctor. As the doctor meets with his patients he can view how a patient's therapy and care is going based on his tracking of how the patient is reacting to the treatment using our Android Application. This first application allows doctors to update prescriptions for each patient as well as view the patient's medication schedule. The mobile Android Application comes fully equipped with a built in medical database of various medications for various uses for the doctors to reference if needed and so they can better answer patient questions.

    The next step is the pharmacist. Once the doctor inputs patient data and medicine dosages, that data will be sent to Firebase where we are storing our data and then sent back down to the Web Application built with Bootstrap and JavaScript. The pharmacist can view what the patient needs and when they need them based on the doctors requests, as well as see updates made by the doctor on the same day rather than get the information lost in a paper trail or chain of voices. The pharmacist will have to input the patient's name, medicine name, dosage, and time the medication was given out. If the patient had already received medications that day, then the medicine cabinet will remain locked and will output an error for the pharmacist. If not, then the medicine cabinet will unlock, leveraging the Raspberry Pi technology and a servo. In addition, as a visual signal, we leverage iLumi, so that when the cabinet is locked the light will display red and when the cabinet is unlocked, the light will display green.

    With this system, we leverage smart lighting, hardware, mobile applications, and a web applications all making up a single suite of complete software for doctors in hospitals all across the world.

    Other creators
    See project

  • Emote

    Emote is a facial recognition SDK that works without needing OpenCV. It is beginner friendly and easily implementable. Using Computer Vision and Big Data, we collected 12 data points that are then used to analyze photos for emotions.

    First we constructed a database of faceprints. This is performed by scanning in full-frontal of the people you are looking at and computing a face print for each one. The software then recognizes the face in the photo, analyzes the data from all points…

    Emote is a facial recognition SDK that works without needing OpenCV. It is beginner friendly and easily implementable. Using Computer Vision and Big Data, we collected 12 data points that are then used to analyze photos for emotions.

    First we constructed a database of faceprints. This is performed by scanning in full-frontal of the people you are looking at and computing a face print for each one. The software then recognizes the face in the photo, analyzes the data from all points, compares the photo to those in the database and determines what levels of each of the following emotions are being exemplified in that image. The emotions tested include: neutral, happy, surprised, anger, fear, sadness, and disgust.

    In order to prove that our application works, we created smaller Android Mobile Applications that use our SDK for more whimsical things. One application, Emoticon, analyzes the data from the 12 data points and relates them to Android based emojis. Then it displays which emoji best describes the face you're currently making. For example, if you are winking, then you will get assigned a winking emoji. We also have an android application that imports photos and then shows you the metered levels of each emotion depicted in the photo for the user to see how the backend of the SDK works.

    Finally, we designed a developer's website where they can find more information on examples and how the SDK works. This site also provides a link to GitHub for easier access.

    Other creators
    See project

  • Happy Heart

    The Microsoft Band connects to our Happy Heart iOS application. The Band will live feed heart rate data to the application and allow users to personalize their data. At this point, the application will determine which mood you are experiencing every half an hour and notify the user to write a message indicating what they were experiencing during that time(i.e. they are happy because they won a soccer game). All data is stored in the cloud, and is pushed from MongoDb. From there, this data is…

    The Microsoft Band connects to our Happy Heart iOS application. The Band will live feed heart rate data to the application and allow users to personalize their data. At this point, the application will determine which mood you are experiencing every half an hour and notify the user to write a message indicating what they were experiencing during that time(i.e. they are happy because they won a soccer game). All data is stored in the cloud, and is pushed from MongoDb. From there, this data is pushed to the web application, hosted on Microsoft Azure, where we used D3 and Beaker to create a visualization of the user's heart rate compared to time of day. At this point the web application determines what your average mood of the day was and then will make a recommendation for you to change your mood to the desired mood. So, for example, if your day averages depressed, the application will recommend for you to watch a video of puppies and link you straight to it.

    Awards: Top 15 Finalists, Best Use of Data Visualization (Hack@Brown 2016)

    See project

  • Memento

    Memento is an all in one IoT application that provides therapy and care for dementia patients. It runs on two separate platforms that communicate their data with each other. The first part of our solution is a mobile Android Application. In this application, the user can enter Admin mode and create their settings for voice control and right and wrong answers. Then the user or their family members can create stimuli that will then be used in their game. The game then will show the user pictures…

    Memento is an all in one IoT application that provides therapy and care for dementia patients. It runs on two separate platforms that communicate their data with each other. The first part of our solution is a mobile Android Application. In this application, the user can enter Admin mode and create their settings for voice control and right and wrong answers. Then the user or their family members can create stimuli that will then be used in their game. The game then will show the user pictures of people, places, or memories, and ask them what the picture is of. The user can then use voice commands to tell the application what is in that picture. If the user gets the answer right, he scores a point and continue playing the game. This data is then sent to the second part of this solution. But, there is an additional part of the mobile application.

    Awards: Best Mental Health Hack, Best Use of Uber API (TreeHacks 2016)

    Other creators
    See project

  • Stay Calm & Panic

    We created an enterprise solution for monitoring and coping with panic attacks and unusual heart rates using the Microsoft Band. It includes a full suite of functionality for various use cases, including music therapy for less severe incidents and emergency contact for physicians in extreme cases. We decided to go with music therapy because it is such an underutilized up-and-coming type of therapy that is proven to actually work. The user is able to specify what kind of music they like to…

    We created an enterprise solution for monitoring and coping with panic attacks and unusual heart rates using the Microsoft Band. It includes a full suite of functionality for various use cases, including music therapy for less severe incidents and emergency contact for physicians in extreme cases. We decided to go with music therapy because it is such an underutilized up-and-coming type of therapy that is proven to actually work. The user is able to specify what kind of music they like to listen to and the music is brought up by using SoundCloud’s api. We dissected the audio file by reading its frequency and comparing it to the current heart rate of the user. If the heart rate eventually goes down with the music, then we know that it worked and the system will save the same music for next time. If it doesn’t work, then the website sends a text message to a nearby hospital to call an ambulance for the user and also sends that patient's medical record. Patient data logging and storage are at the center of our system.

    We also built a system using Bluetooth beacon tech to allow physicians to access their patients’ data automatically when they walk into the room to provide treatment. Utilizing electronic medical records (EMR) comes with many benefits. EMRs will collect a more comprehensive patient history/data and make the information more easily accessible. It will also help monitor patients’ health and improve the overall efficiency in the medical industry.

    Awards: Best IoT Hack, Best Health Hack, Best Social Impact Hack, Top 10 Finalists HoyaHacks 2016

    Other creators
    See project

  • StudyNote.JS

    The StudyNote.JS web application is designed for those with a lot to read, and not enough time to read it. The algorithms in our solution provide an easy way to convert large chunks of boring and long text into quick and easy to read bullet points.

    Through careful processing of each word, and the use of machine learning via the DatumBox API, we are able to select just the right balance of content and brevity to deliver a highly portable PDF document right in your web browser. The…

    The StudyNote.JS web application is designed for those with a lot to read, and not enough time to read it. The algorithms in our solution provide an easy way to convert large chunks of boring and long text into quick and easy to read bullet points.

    Through careful processing of each word, and the use of machine learning via the DatumBox API, we are able to select just the right balance of content and brevity to deliver a highly portable PDF document right in your web browser. The DatumBox API is accessed through a Python-dependent backend, which is able to be leveraged by Amazon AWS cloud severs. A variety of formatting options are available to make your study experience comfortable for any eyes.

    On those long nights of research, an easy-to-use extension to the Google Chrome web browser allows users to condense pieces of articles into slick statements that are easy to discern and categorize with a quick glance. The aforementioned API from DatumBox helps to lift that burden too by assessing the complexity of the processed text and assigning one of 16 topics to the bulleted content.

    Awards: 3rd Place Overall, Best Use of AWS (SwampHacks 2016)

    Other creators
    See project

  • Peace Corps Hub

    Responsible for front end development in designing an award winning web application for the Peace Corps to promote their global collaboration and coordinate staff/volunteers using HTML/ CSS

    See project

  • Arduino Robotics Project

    Team Lead

    -Led a team of 4 to design and develop a robot that allows disabled people to paint/ draw using keypad inputs with Arduino, multiple servos, stepper motors, and breadboard

  • Robonaut Human Control Systems

    Team Lead

    -Led a team of 5 to develop an Android Mobile Application to display and obtain gyroscopic data from mobile device or tablet to conceptually give astronauts on the ISS potential to control Robonaut from within the spacecraft to reduce risk in space

    See project

  • Preliminary Rocket Design Project

    Developed calculations for and designed a preliminary rocket CAD model with fuel delivery system and launch mount using AutoCAD and PTC Mathcad

  • Spacecraft Preliminary Design

    -

    -Designed a 6U CubeSat to be launched to Jupiter's second largest moon, Callisto, to produce a comprehensive radiation map of the moon's surface
    -Used MATLAB to calculate and determine all launch, landing, trajectory, and other mission based calculations
    -Researched guidance, navigation, and control (GNC), onboard flight computer and communications, and Deep Space Network telecommunication techniques.

  • MATLAB Gaming Showcase and Database Construction

    -

    Project Manager

    -Used MATLAB to develop a variety of games, such as Slots, Mastermind, and Connect Four in a gaming database
    -Developed a programmable database of the Starbucks Secret Menu to display ingredients required for the beverage selected as well as the cost related to those ingredients with user-friendly GUI construction

Honors & Awards

  • Hackathon Awards Spring 2016 Season

    Major League Hacking (MLH)

    SwampHacks (Jan. 2016): 3rd Place Overall, Best Use of AWS

    HoyaHacks (Jan. 2016): Top 10 Finalist, Beeck Center: Best Social Innovation, BAH: Best IoT Hack, Optum 360: Best Potential to Improve Health

    Hack@Brown (Feb. 2016): Top 15 Finalist, Best Use of Data Visualization

    TreeHacks (Feb. 2016): Best Mental Health Hack, Best Use of Uber API

    MHacks: Refactor (Feb. 2016): Best Financial Hack

    MangoHacks (Mar. 2016): 1st Place Overall, Best Developer Tool…

    SwampHacks (Jan. 2016): 3rd Place Overall, Best Use of AWS

    HoyaHacks (Jan. 2016): Top 10 Finalist, Beeck Center: Best Social Innovation, BAH: Best IoT Hack, Optum 360: Best Potential to Improve Health

    Hack@Brown (Feb. 2016): Top 15 Finalist, Best Use of Data Visualization

    TreeHacks (Feb. 2016): Best Mental Health Hack, Best Use of Uber API

    MHacks: Refactor (Feb. 2016): Best Financial Hack

    MangoHacks (Mar. 2016): 1st Place Overall, Best Developer Tool, Organizer's Choice

    PolyHacks (Mar. 2016): Best Use of AWS

    Bitcamp (Apr. 2016): Best Use of AWS

    HackDFW (Apr. 2016): Best Use of AT&T's M2X Platform

    Fishackathon:Tampa (Apr. 2016): 1st Place Overall, Advanced to Global Level

  • Square Code Camp 2016

    Square Inc.

    -Selected to participate in Square's College Code Camp as 1/20 participants chosen for the program in January 2016 in San Francisco, CA

  • Qualcomm EmpowerHERment Summit Scholar

    Qualcomm

    1 of 5 students chosen to represent NCWIT at the Qualcomm EmpowHERment Summit out of a national applicant pool

    Scholarship Includes: Conference Registration, Travel Accommodations, Hotel Accommodations, Meals

  • 1st WCTD Student Scholar

    WCTD

    First student to receive the WCTD Student Scholar to attend the Inside 3D Printing Conference in NYC

    Scholarship Included: Airfare & Travel Expenses, Conference Registration

  • Grace Hopper Celebration Scholar

    ABI/ GHC

    Among the top 21% of applicants to be awarded as a Grace Hopper Celebration Scholar to attend GHC in Houston, TX in October 2015.

    Grant Includes: Conference Registration, Prepaid Meal Card, Hotel Accommodations, Travel Reimbursement

  • NCWIT Summit Ambassador

    NCWIT

    Selected as one of select few in a national pool of applicants to represent NCWIT at Summit

    Award Included: Airfare & Travel Expenses, Conference Registration, Hotel Accomodations

  • GSUSA Gold Award

    GSUSA

    Highest national award for a Girl Scout to earn

    Project Description:
    Redefined elementary school science and technology curriculum within the Farmingdale School District to focus on hands on and experiential learning through hosting the First Science Fair and STEM Expo. Coordinated a district wide mentorship program to connect high school students with elementary students to work on science fair projects.

  • NCWIT Award for Aspirations in Computing

    National Center for Women & Information Technology (NCWIT)

    Awarded as National Runner Up and New York State Regional Winner for national computing competition

Languages

  • English

    Native or bilingual proficiency

  • Italian

    Limited working proficiency

  • Spanish

    Elementary proficiency

Organizations

  • NCWIT

    Aspirations in Computing Winner/ Collegiate Member

    - Present

  • Society of Women Engineers

    Student/ Collegiate Membership

    - Present

  • Women in Aviation (WAI)

    Student Membership

    - Present

  • GSUSA

    Adult Membership/ GSNC Delegate/ GSNC STEM Advisory Board Member

    - Present

Recommendations received

1 person has recommended Caeley

Join now to view

More activity by Caeley

View Caeley’s full profile

  • See who you know in common
  • Get introduced
  • Contact Caeley directly
Join to view full profile

People also viewed

Explore more posts

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Add new skills with these courses

See all courses