Sign In or Use Email

Alexander Spivey

Majoring in Computer Science And Business, Minoring in Data Science
Lehigh University, Class of 2023
From Tulsa, OK
Hi! I'm Alex, a Software Engineer at Lutron and a highly demanded coding Tutor~!
Follow Alexander

Lehigh University

Alexander Spivey was named to the Dean's List at Lehigh University in the Spring 2023 semester

Dean's List status, which is awarded to students who earned a scholastic average of 3.6 or better while carrying at least 12 hours of regularly graded courses, has been granted to Alexander Spivey ...

June, 14 2023 - Verified by Lehigh University
Alexander Spivey was named to the Dean's List at Lehigh University in the Fall 2022 semester

Dean's List status, which is awarded to students who earned a scholastic average of 3.6 or better while carrying at least 12 hours of regularly graded courses, has been granted to Alexander Spivey ...

January, 12 2023 - Verified by Lehigh University
Alexander Spivey was named to the Dean's List at Lehigh University in the Fall 2021 semester

Dean's List status, which is awarded to students who earned a scholastic average of 3.6 or better while carrying at least 12 hours of regularly graded courses, has been granted to Alexander Spivey ...

January, 18 2022 - Verified by Lehigh University
Software Engineer at Lutron Electronics

- Conceive, design, and develop innovative and intuitive software systems that help users save energy, improve comfort, and enhance the functionality of every space.
- Discover new technologies, design techniques, and process improvement methods to bring elegant solutions to our customers.
- Engineering Co-op position at Lutron offers a chance to experience the business world first hand and to learn how Lutron works as a company

February 2022 - Present
Computer Science Tutor and Curriculum Developer at Juni Learning

- Developed a Macro-Economics course for students ages 9-18 for Juni Learning.
- Execute Computer Science, Math, Finance/Investment or English lesson plans for students ages 8-18, while adapting to student needs and interests
- Communicate with parents on a regular basis, providing updates on student progress and results from learning assessments
- Maintain records for each student, covering multiple courses and skill levels

May 2021 - August 2021
Disability Technology and Robotics Researcher at The University of Texas at Arlington

- Robotics based research into helping disabled/paraplegics live a better life by creating more handicap friendly assistance devices
- Create and study the required engineering behind implementing a cooking/chef robot that could either be autonomous or acts as a support to humans within the kitchen
- Employ C++ and Webots to simulate a "perfect" cooking system
- Create two separate papers (Technical and Survey) with an end of research presentation

May 2021 - December 2021
Social Media Coordinator at Lehigh Engineering

- Works individually and assists/coordinates other specialists on marketing efforts
- Utilize Adobe Premiere Pro, Adobe Photoshop, Canva, and other graphic design programs
- Specializes in Discord and Reddit based marketing
- Assist in bringing in multiple Graduate students per year through promotions

August 2019 - Present
Car Brand Recognition and Detection Based off Logo Present
As of 2019, the number of registered vehicles on the road within the US was approximately 284.5 million [1]. This growth has been projected to reach 291 million by 2022. With the increasing forms of transportation and complex modern transportation networks, the need for intelligent transportation systems to monitor traffic action, record vehicle information, and report abnormal traffic events arises. The autonomous vehicle industry also relies heavily on its system’s capabilities to detect vehicles and record the driver’s surroundings in the case of an accident. As such, there need to be ways of detecting vehicle make, model, and year. Implementing the entire system in one would be extremely expensive and time-consuming, as well as the current processing system lacking the specifications to handle gigabytes of computation. With the time constraint in mind and capabilities in implementing an effective model and processing the data, the proposed system aims to classify car brands based on their vehicle logos, if visible and not obstructed or obscured.
December 2021 - Research Projects
Stroke Prediction Using Machine Learning
The following research conducted below tested a multitude of 11 models within python and a multitude of models in weka for the use of stroke prediction. The provided dataset only has 11 attributes with 5,112 instances. The overall class distribution is heavily skewed, with only 5% being stroke cases. As such, smote was implemented for both the training and testing set. The paper concludes that due to the dataset's unrealistic data distribution and lack of instances, the model to use should be based on the actual testing data distribution present. Keywords stroke, smote, machine learning, weka, python, gradient boosting, SVM, decision trees, Catboost, XBG
December 2021 - Research Projects
Assistive Cooking Technology and Needed Future System Components: An Overview
This paper provides an overview of the state-of-the-art in cooking robots. The goal is to provide the context and background of how assistive robots can provide help to people with disabilities in preparing meals. In addition to presenting various current techniques, the paper covers and analyzes the trends, capabilities, and patterns that have appeared. At the same time, this paper identifies malpractices and outdated concepts that may help reshape the current progression path of this field. The paper examines cooking systems and their outdated and exclusive modalities as well as the components that would help the user benefit extensively to create a system that was all-encompassing as possible. The study also identifies the growing population of elderly people in the world population, and with that, a growing need for caregivers and assistance in homes. It also highlights the awareness of the barriers faced by people with disabilities -and demonstrates how their lives could benefit from the popularization and mainstream production of cooking assistive technologies. One of the salient conclusions is that research in assistive technology is imperative for household chores, such as cooking, to relieve the strain on people with disabilities, including the elderly, to ensure independence in the home with the benefit of aid. The paper also describes additional avenues of research in this area and sheds some light on what the future of assistive cooking robots may entail. Keywords cooking, robot, assistive technology, differently-abled independence, assistive meal prep, recipe planning methodologies, motion planning methodologies
July 2021 - Publications
Robot-ouille: The In-Home Cooking Assistant that Serves Independence with Food
Abstract with age causing natural disabilities in mobility and cognitive decline, the population of the elderly, especially those with disabilities is growing, thus raising the need for independence in the home. This paper presents a simulation study of a chef robot system. The system of robot-ouille is designed with inclusivity and disability in consideration, - while giving users customizable options, such as the delivery of ingredients for meals, to include a wide range of disabilities to work with. An optional connection to a meal delivery service such as Hello Fresh allows users to choose their meals based on the shown ingredients and nutrition facts in case of a restrictive diet. The size of the robot is of importance so as not to hinder mobility around the system and ensure the robot can fit in homes of various sizes and can fit on stoves of many sizes. Typically, assistive robots for cooking are built for a single specialty. In contrast, the proposed system is designed that would allow widespread usage. The goal is to ensure people with paraplegia and other differently-abled users the ability to make their meals confidently while remaining independent, practicing fine motor control through use, adopting healthier gastronomy, and remaining aware of important upcoming events within the cooking scene and IRL calendar. A key feature of our design is the interface that instills trust in the system between the user and the robot and allows interaction. Within the simulation, the users can interact with the systems interface through four means: a touch screen application interface, verbal/auditory-based communication, and visual and vibration cues to ensure preciseness in the cooking process. Keywords cooking, robot, assistive technology, differently-abled independence, assistive meal prep, Webots
July 2021 - Publications
Learn from Me: Recognizing an Employer Scam
It's rare, but I got involved with an internship that turned out to be a scam. I am sharing my story about how I got tangled up with an unprofessional employer with the hope that I can teach others the warning signs and how to avoid jobs or internships that don’t provide what they promise.
April 2021 - Articles
Repetitive Classical Music and its Effects On Memory Retention and Recall
Many students around the world face some type of disability that hinders their studying and testing capabilities in a classroom enviroment.To deal with this concurring issue, I implemented an experiment to test and see if the repetition of one classical song (“Fur Elise”) caused students to test better when it was played throughout the lesson and their end-of-subject test. There has always been a division in the auditory science community over whether music was beneficial or not to studying and attention retainer. Most studies only tested younger age groups or students with major disabilities. By testing this in a high school environment, this now applies can give a rough estimate that can conclude all high schools populations and gives the general public an idea of how music affects high-school students. This experiment was divided into two groups, the testing on AP vs on-level students. With each course, (AP and non-AP) there are 2 classes, a control one without music and a test one with music. After only one trial, due to time constraints and scheduling errors, the data concluded that music had no effect on AP students testing/memory capabilities. However, on-level students displayed an increase of 10% on their test, showcasing that music had a positive effect on memory retainment and recall, at least when it focuses on short-term memory retainment. Keywords: Music, High-School, On-level vs AP, Memory Retainment, Testing
May 2019 - Publications
Resume
© Copyright 2025 • Merit Pages, Inc.Terms of ServicePrivacy Policy