Daehee Kim, Ph.D.

College of Science Poster Celebration

Science Day

ASPIRE STEM-CRU Reverse Career Fair

2024: College of Science Poster Celebration (photos), STEM-CRU Reverse Career Fair (photos),

• Exploring Data Science with Microsoft Materials, Zahra Ghausi, Brian Flores, and Nicholas Davies (Advisor: Dr. Daehee Kim)

  Data Science is the process of collecting, storing, and analyzing data. It is important to learn about how files and data are stored, retrieved, and visualized in order to be able to extend our knowledge to the present Medical Big Data Analysis research project. Microsoft provides efficient materials, Data Science for beginners, that will focus on foundational concepts and practical applications of Data Science. This semester, we have been using the materials for learning Data Science with Github, VS Code, Jupyter Notebook, Cosmos DB emulator, Putty, Relational DB (MySQL), and NoSQL DB (MongoDB). The audience could get a better understanding of Data Science.
  This work was sponsored by ASPIRE/STEM-CRU, LSAMP, and S-STEM. (Poster)
  This work was also presented at ASPIRE STEM-CRU Reverse Career Fair, November 2024 (Poster)
  

• Exploring Internet of Things (IoT) for Farming, Manufacturing, and Retail Domains, Crystal Saini, Noah Betoshana, Allen Rosales, and Isabella Zardo (Advisor: Dr. Daehee Kim)

  The Internet of Things (IoT) is a network of devices that connect the Internet to the real world through sensors and actuators. Adoption of IoT is becoming more important as organizations prioritize optimization based on data. We have explored IoT skills for farming, manufacturing, and retail domains using Microsoft materials. The lessons we covered include topics like smart farming, image classification, and object detection, each utilizing different sensors and actuators along with Microsoft Azure. This research plays an important role in enabling easy integration and adaptable IoT solutions, which are vital for advancing smart cities and industrial automation, thus influencing a variety of industries.
  This work was sponsored by ASPIRE/STEM-CRU, LSAMP, and S-STEM. (Poster)
  This work was also presented at ASPIRE STEM-CRU Reverse Career Fair, November 2024 (Poster)
  

• Practical Hands-on Learning of Computer Networks Towards the Profession of Cybersecurity, Jaime Suarez, Esteban Verdin, and Nina Tkachuk (Advisor: Dr. Daehee Kim)

  Cybersecurity attacks such as DDOS (distributed denial of service), DNS (Domain Name System) attack, and intrusion attack are prevalent in modern times. Understanding computer networks is fundamental to understanding cybersecurity attacks and solutions.  We have been studying Computer Networking to gain more knowledge in the cybersecurity field and become CCNA (Cisco Certified Network Associate) certified. In this poster we will discuss what we have learned and practiced for an year, including the Internet 5 Layers, network cables, Local Area Network (LAN), and Wide Area Networks (WAN).
  This work was sponsored by ASPIRE/STEM-CRU, LSAMP, and S-STEM. (Poster)
  This work was also presented at ASPIRE STEM-CRU Reverse Career Fair, November 2024.
  

2023: College of Science Poster Celebration (photos)

• Case Study: Implementing a Big Data Analysis System on Cloud from User Interface to Spark Cluster, Christian Alameda, Joshua Gonzalez-Leon, Ray Duenas (Advisor: Dr. Daehee Kim)

  Big Data Analysis has enabled the yielding of such great insights on relationships that it has become an essential tool finding implementation in social networking, business, and the many fields of sciences. There is an overwhelming amount of information on how to conduct Big Data analysis, this work aims to provide a concise demonstration on how one may gain new knowledge utilizing Big Data. We introduce the implementation instructional materials to construct a comprehensive big data analytics infrastructure.
  This work was sponsored by ASPIRE/STEM-CRU (Poster)
  

• Exploring Internet of Things (IoT) with Microsoft Materials, Crystal Saini, Noah Betoshana, and Allen Rosales (Advisor: Dr. Daehee Kim)

  IoT refers to connecting the Internet to the real world through devices. These could be with sensors or with actuators. IoT devices are already being utilized in the form of refrigerators and fitness trackers among other things. Currently there are 30 billion devices connected, and it is estimated that 80 ZB of data will be collected by 2025. We will introduce the informative Microsoft materials that provide the concept and hands-on practices of Internet of Things and share what we learned this semester.
  This work was sponsored by ASPIRE/STEM-CRU (Poster)
  

2022: Science Day

• Efficient Visualization of Big Data Analysis using Shiny Application, Aristan Galindo, Sumedha Chand (Advisor: Dr. Daehee Kim)

  Shiny is an R programming language package and is popularly used to build interactive Web applications with data for Big data analysis. For K-12 students' information during presentation, students presented the basic concept of Big data, introduction of Shiny, how to prepare development for Shiny Web application, brief explanation of a Hello Shiny application codes, and introduce two sample Shiny applications (Chirp and Hex Memory Game).
  This work was sponsored by RISE program and Science in Our Community (Video)

• Artificial Intelligence Robot Programming with Cozmo, Brittany Castaneda, Jerynne Mae Cenario (Advisor: Dr. Daehee Kim)

  Cozmo is an Artificial Intelligence robot that is popularly used for teaching students to code through fun games. Students presented where to buy Cozmo, types of AI programming with Cozmo, how to run Cozmo and connect Cozmo with mobile devices (or tablets), some fun games with Cozmo, and examples showing how to make programs to run the robot with block programming and Python SDK program.
  This work was sponsored by RISE program and Science in Our Community (Video)
  
  

2021: College of Science Poster Celebration

• Medical Big Data Analysis System to Discover Associations between Genetic Variants and Diseases, Marlen Martinez-Lopez, Jaimit James (Advisor: Dr. Daehee Kim)

  Electronic Health Records (EHRs) and genomic data are fruitful resources to find associations between genetic variants and human diseases. Medical researchers have used Phenome-Wide Association Study (PheWAS) to find diseases relevant to genomic variants, and Genome-Wide Association Study (GWAS) to discover genomic variants related to specific diseases. In the era of Big data, the quantity of disease and genomic data have significantly increased, resulting in long processing and research time for Big data analysis. We designed and implemented a prototype of Medical Big Data Analysis System that finds the links between genetic variants and human disease with PheWAS and GWAS dataset of a population-based biobank in Marshfield Clinic Institute. The system consists of front-end Web-based graphic user interface using Shiny application, and back-end Big data analysis servers using Apache Spark and Mongo database. We evaluated the associations with selected variants and diseases and present the performance and CPU/memory overhead of the system while varying the number of executors in Spark cluster, which provides readers with multiple factors for deploying medical Big data analysis system.
  This work was sponsored by McNair Scholar Program and RISE program (Presentation, Video)
  This work was also presented at RISE (Research and Immersion for STEM Excellence) (Presentation, Video)
  

• Implementing Smart Farm Prototype with Internet of Things, Jashandeep Singh, Jorge Hernandez Ortega, Crystal Saini, Jesus Gonzalez (Advisor: Dr. Daehee Kim)

  Smart Farm using Internet of Things (IoT) is to automate farming facilities and increase harvest productivity while reducing cost. We are developing holistic solution using sensor devices, data transfer to Cloud through network, analysis and image recognition (to find plant diseases) using machine learning in Cloud, data visualization through Web and Mobile Application, and signal system to end users.
  This work was sponsored by RISE program (Presentation, Video)
  This work was also presented at RISE (Research and Immersion for STEM Excellence) (Presentation, Video)
  
  

2020: College of Science Poster Celebration

• Game Development in Unity using Oculus Quest VR, Christopher Todd (Advisor: Dr. Daehee Kim)

  The Oculus, which is owned by Facebook, is quickly becoming the most popular medium for an interactable 3D gaming experience by way of Virtual Reality. Unity Real-Time Development Platform is one of few options that game developers have to create VR games for the Oculus which makes it a desirable platform to learn. This paper will address all the components that went into the creation of a game that runs on the Oculus Quest using Unity. It will present some of the methods necessary to allow the game to implement procedurally generated stages and a racing vehicle to be the object the player takes control of to accomplish the task of completing each stage.
  This work has been partly sponsored by SERSCA mini-grant. (Presentation, Video, Report)
  

• Exploring Effcient Visualization of Big Data using R Shiny Application, Marlen Martinez Lopez (Advisor: Dr. Daehee Kim)

  Big data has brought opportunities to modern society by discovering and predicting patterns that are not possible with a small-scale data. Although there are challenges with handling big data such as unique computational and statistical challenges, there are ways to handle and present the data efficiently. We will be handling e-commerce datasets from different research papers and explore methods available that can create an overall efficient performance. We will be researching efficient visualization methods for e-commerce datasets and displaying both graphical and textual results in a R Shiny [1] Web application.
  This work was sponsored by McNair Scholar Program. (Presentation)
  

• Smart Home using Internet of Things (IoT), Jashandeep Singh, Samir Espinoza, Corey Edh, Jorge Hernandez Ortega (Advisor: Dr. Daehee Kim)

  Smart Home is an efficiently automated home with many different types of sensor devices that are called "things" in the Internet, and the "things" send data to Internet. Based on the collected data, the status of home is monitored and devices of home are actuated. (e.g. alarm is activated by movement of burglar). This work shows what sensors are used for smart home, circuit diagram, and how data are collected.
  This work was sponsored by RISE program (Presentation, Video)
  
  

2019: College of Science Poster Celebration (photos)

• Efficient Visualization of Medical Big Data Using R Shiny Application, Nikolai-Iraj Sanamrad, Giancarlo Garcia Deleon, and Deep Gill (Advisor: Dr. Daehee Kim)

  Approximately 20,000 patients of the Marshfield Clinic [1] shared their medical information in order to research the possible DNA sequences related to certain diseases. This research can improve the healthcare quality and help predict certain risks, based on statistical data. We are researching efficient methods of processing queries to the database and displaying both graphical and textual results in a R Shiny [2] Web Application. We expect to have an efficient application, capable of displaying results as charts and text. (Poster)
  

• Analysis of Data Privacy and Security in Commercial DJI Drones, Brian Eam, and John Rabang (Advisor: Dr. Daehee Kim)

  In the past few years, there has been an upsurge in the types of applications that drones are used in. As the market for commercial drone technology continues to expand, it is crucial to assess whether the security issues that have plagued earlier drone models have been addressed. In conducting this research, we utilized a myriad of software tools in an attempt to penetrate the software defenses of the DJI Mavic Air. We expect to find significant improvements in drone security where vulnerabilities were previously discovered. (Poster)
  

• Introducing Artificial Intelligence through Robot Programming at K-12 level, Krista Hepler, Marlen Martinez-Lopez, Gabriel Medina, Vanessa Hernandez, Stephanie Gamboa, Clark Xiong, John Rabang (Advisor: Dr. Daehee Kim)

  A Cozmo robot provides a platform for users at all levels to gain experience and knowledge on working with Artificial Intelligence (AI). Since technology is growing and expanding further every day, a fun and easy way to understand difficult concepts would be a useful tool for many users to learn. We've all experimented with Cozmo in order to discover how it works and by using that, how we could implement it into a learning environment from students. We've found a variety of proposed solutions fitting for different preferred learning methods and experience levels. (Poster)
  

• Analyzing Ransomware Attacks and Exploring Methods of Prevention, Andres Perez (Advisor: Dr. Daehee Kim)

  Ransomware is one of the fastest growing and dangerous type of malware that has appeared in the last couple of years, as it has caused the most damage to industries and individuals alike. This attack has caused billions in damages, and new ransomware attacks are constantly being developed and released around the world. We explore how the malware operates in depth, and cover methods of protecting against it in hopes of creating long-standing solutions to this problem. (Poster)