Class canceled. Go to at least one talk.

MSCS Capstone Conference Schedule – Spring 2022.pdf

Tell me (below - write your name and description after it) a brief summary of what is on slide 3 of one of the presentations you went to (along with the speaker and title of the talk)

Example:

Lian: Epsilon Zeta, “Using genetic algorithms to predict rabbit populations.” Slide 3 had a definition of a genetic algorithm along with a snippet of code showing how it was implemented

Put your submissions below, please:

• Erik: Henry Bell, Analog-Inspired Digital Differential Equation Solver. Slide 3 was a why do we care about differential equations slide with examples from the real world.
• Finn: Sam Ding, “Not All Stations are Created Equal - Exploring Transit Deserts in NYC.” Slide 3 had a fact sheet about the NYC Subway, showing historical and general information about it, as well as a geographically inaccurate map of the subway system.
• Matthew: Ethan Deutsch, “Mastering the Madness: Predicting the NCAA tournament”. Slide 3 had an explanation of structure of NCAA tournament, about seeding and regions.
• Mason: Spencer McNall, “TrailBlazer”. Slide 3 has a preview of the TrailBlazer website, which is an application that allows you to find parks hiking trails near you.
• Kenny: Paul Heo, “Starcraft AIs: Can AIs Strategize Wars?”. Slide 3 details how the AI’s are setup and showing their learning process. How they train then query, pathfinding, reinforcement learning, and multi-agent learning.
• Lila: Jianyang Li, “What dog are you? Object Detection on Dog Breeds” Slide 3 gave an introduction to computer vision tasks. Explained what classification, localization, object detection, and instance segmentation are with examples of the tasks.
• Jingyi: Sivhuo Prak, “Using AI to colorize black- and-white photos” Slide 3 was two inspirations of this colorizing project and two pictures. One picture is the original “Migrant Mother” photographed during the Great Depression, and the other one is the colorized version of it.
• Cora: Alexander Shevchenko “Can a computer identify landscapes? - Using Convolutional Neural Networking to categorize a set of images” Slide 3 explained what machine learning was, including a diagram showing that machine learning is a branch of AI, and consequently, deep learning is a branch of machine learning.
• Hengrui: Xuechen Yu Step by step intro to build a shiny app: a US health disparity overview Slide 3 described the overview of the project including what each tab in app is going to include and what this project is about.
• Emydius: Saby Cortez, “Solving Sudko Using Graph Coloring” - Slide 3 gave an overview of what a tree was; a collection of vertices with numerical values joined together by edges, in order to later introduce graph coloring which would be the main concept of the presentation.
• Olivia: Jacqueline Ong, “How to Shade Your Dragon.” Slide 3 outlined the graphics pipeline in a diagram, including the steps “3D vertices,” “2D vertices,” “triangles (pixels, tex),” and “Colors.” There were also two arrows pointing to where the coding part of the project took place.
• Alex: Elizabeth Schnaubelt, “Fourier Transforms and Bio-Inspired Solar.” Slide 3 had two spectrograms of bottle nose dolphin sounds and the accompanying clicks and whistles.
• Ahmed: Izzy Valdivia, “So-tion Sickness! Social Media & Backend Web Development”. Slides 3 highlighted the difference between backend vs front end, and what is considered front-end vs back-end can be different depending on who you ask.
• Youssef: Aron Smith-Donovan, How to steal data without getting caught. Slide 3 explained what methods such as vulnerability testing that Aron used throughout his research.
• Bea: Vichy Meas, “Hey AI, What type of car is that?”. Slide 3 contained an overview of the project and the different car types that his machine learning algorithm worked to identify.
• Isaac: Paige Robertson, “Packing Triangles: Using Logic Games to Approach Combinatorial Questions”. Slide 3 showed an example staircase of size 6 with multiple different ways to pack it with boxes.
• Shengyuan: Jianyang Li, “What kind of dog are you”. Slide 3 contained the overview of the project and the object detection, instance segmentation, and fast RCNN machine learning method he will use in his project.
• Neshua : Preston Locke, “That’s a hot GPU : Using parallelisms to simulate forest fires”. Slide 3 contained some background on computer parallelism, what they are useful for and the different levels of difficulty simulations cover.
• Lien: Jianyang Li, “What dog are you? Object Detection on Dog Breeds”. Slide 3 is about how well can machines detect similar objects (dog breeds).
• Jeremy: Jonathan Neve, ****ADAPT OR DIE: How generational changes to an organism's genetic string alters their chances of living in a simulated environment. Slide 3 was about defining what AI meant in terms of a lot of if statements.
• David: Hayley Hadges, “Help Wanted! How to Retain Your Employees." The third slide of her presentation described the motivation behind the implementation of her capstone research.
• Sam: Juthi Dewan, “NYC Transit Access and Inequity” The third slide of her presentation talks about some facts about NYC Subway.
• Arkadii: Paige Robertson, “Packing Triangles: Using Logic Games to Approach Combinatorial Questions” In the slide 3, we can a diagram of the staircase of the size 6 and possible ways to pack it.
• Tenzin: Michael Helton (Predicting the EA Sports FIFA Team of the Season). Slide 3 (not in my best memory) was the introduction of the soccer league in Europe and the structure of EA Sports FIFA Team of the Season, how the company’s algorithm is not public, and how they plan to emulate it.
• Nate, Qingru Zhang, “Image inpainting, removing unwanted objects from an image”. 3rd slide was two pictures of Abraham Lincoln, one with a missing section and the other one restored to its original.
• Pat: Jeongyeob Hong, “From Speech to Text, Text to Emotion.” Third slide: “What is my project: a program that returns a category of emotion as user provides an audio input, input in this case is anti COVID vaccination tweets.”
• Anatoliy: Radu Lungu “Car Recognizer App”. Third slide: Demo of the website app (CNN Image Classifier) - essentially Radu showed how Vichy and he created the website to realize the car recognizer app.
• Jack: Paige Robertson, “Packing Triangles: Using Logic Games to Approach Combinatorial Questions”. Slide 3 showed a staircase of size 6 with every possible way to pack it with boxes (not touching).
• Rita: Sam Ding, “Not all stations are created equal: Exploring transit dessert in NYC.” Slide 3 shows some facts about the NYC subway and a photo of the NYC subway lines.