Master's Candidate in Computer Science
University of Maryland, College Park
Master's Candidate, Computer Science
University of Maryland
I am a second-year graduate student pursuing a MS in Computer Science at the University of Maryland, College Park (UMD). I am currently working with Prof. Leilani Battle and other members of the Battle Data Lab, focusing on developing intuitive and interactive tools to support big data science. My research interests include Software Engineering, Data Visualization, Interactive Data Analysis, and Human-Computer Interaction.
Prior to graduate life, I obtained a BS in Computer Science from UMD in December 2019. I also received a BFA in Graphic Design and BA in Business Technology Administration in May 2015 from the University of Maryland, Baltimore County (UMBC).
Winter 2020 ~ Current
We are developing a tool that extends IDEBench to ingest visualization interfaces with a dataset, and estimate the expected database load that would be generated by real users. The tool analyzes the interactive capabilities of the visualization and creates the queries that support various interactions.
Summer 2017 ~ Summer 2018
Design and configure a collection of commands/tools that allows a user within the ACMD High End Visualization (HEV) environment to Monitor, Explore, Review Simulations with Immersive Visualization. Worked with a team of SURF (Summer Undergraduate Research Fellowship), SHIP (Summer High School Intern Program) and volunteer students, to build a prototype system and a skeleton set of commands sufficient for a proof-of-concept implementation. The prototype for MERSIV was successfully tested with a software flow application.
Course: Personal Health Informatics & Visualization (CMSC838X)
Instructor: Eun Kyoung Choe
Look at issues and challenges of adopting and designing Personal Health Technologies, discuss roles of visualization in Personal Health Technologies, administer personal data collection and insight generation from my own data, and identify design problems in Personal Health Informatics and employ appropriate design methods to address the design problems.
Course: Wireless and Mobile Systems for the IoT (CMSC818W)
Instructor: Nirupam Roy
Learn a range of techniques in sensing, computing, communication, and wireless networking and connect them to various applications in analytics, localization, cyber-physical systems, mobile health, security, and wearables.
Course: Applied Mechanism Design for Social Good (CMSC828M)
Instructor: John Dickerson
Discuss design mechanisms for allocation problems that perform well in practice, are computationally tractable, and whose workings and results are understandable by humans. Review works in computer science, economics, operations research, operations management, and medicine.
Course: Interactive Technologies in Human-Computer Interaction (CMSC838J)
Instructor: Huaishu Peng
Learn a range of topics including ubiquitous and mobile computing, wearables, virtual/augmented reality, natural user interfaces, tangible UIs, interactive fabrication, and more. Discuss the technologies behind cutting-edge interactive techniques, recent advancements of technical HCI research and gain rapid prototyping skills (modeling, simple electronics, and fabrication) to design and build interactive devices, gadgets, and sensing systems.