Category: CMS-Computer Science

Dr. Shuai Zhang Joins Computer Science Faculty

Shuai ZhangDr. Shuai Zhang is a new assistant professor in the Department of Computer Science since Fall 2019, after he obtained his PhD in Computer Science at The University of Texas at Dallas in the same year. He holds B.S. and M.S. degrees in Electronic Information Science and Technology from the University of Science and Technology of China. Before joining UCO, Dr. Zhang worked at Nokia Research Center and Google, in the areas of mobile-device-enabled human-computer interaction and on-device machine learning toolkit development. Dr. Zhang’s research focuses on performance monitoring of large-scale intelligent systems. He has several publications related to semantic-centric data storage and data analysis for fault diagnosis. Currently, he is working on systematic behavior learning for water treatment systems and performance evaluation in dynamic systems using transfer learning techniques. He is looking forward to collaboration in research and service with his colleagues and students.

Sila Tamang, Undergraduate Researcher in Computer Science

Sila Tamang and Grace ParkI came from a background where for computer class, I played Mario games and improved my typing speed. For a person who entered Computer Science thinking HTML was a programming language, I found it difficult in the beginning. Yet, pushing through that class and proceeding onward to the Programming I class acquainted me with Dr. Park. I got into my research with her knowing nothing about how to research and with few programming skills. The project also diverged a lot. We started from professional development for teachers to reaching out to high school students. The purpose of the Code Okie workshop is to reach out to high school students in Oklahoma, especially minorities, females and students from rural areas and low-income families, to help them have exposure to CS and raise their interest in CS. I, along with five other undergraduate students in the Department of Computer Science (CS), have been actively involved in high school outreach with the Code Okie Workshop since 2016 and have taught more than 150 high school students conducting more than 20 workshops and reaching out to more than 20 different high schools in Oklahoma. Through my involvement in the project, I did a co-op program with Google and experienced immense growth in my leadership as well as programming skills. I have been selected as a STLR and RCSA grant recipient, Leaders of the Tomorrow Award recipient, NCWIT- Change leader scholar and had the privilege to attend the NCWIT Summit and Aspiring Technologists and also got to attend the GHC conference in Florida. Being part of the project, not only financially supported my ride through the university but also boosted my job search after graduation. I am grateful to Dr. Park, Computer Science Department, and the STLR program for guidance, support, and funding.

Joel Erickson, Computer Science Undergraduate Researcher

Joel Erickson is a recent graduate of UCO with a computer science major. During his undergraduate studies, Joel became interested in applying his computer science knowledge to financial trading. He created a trading infrastructure on his own, which incorporated a number of algorithmic and parameterized trading strategies.

In the summer and fall 2019 semesters, Joel started a project that used machine learning (ML) techniques to enhance trading strategies, with Dr. Gang Qian serving as his advisor. In the research project, Joel compared the effectiveness of various features derived from the price series of trading. His system also considered the uniqueness of financial data, which have distinctive characteristics such as time-dependencies compared to those of a typical machine learning application.

The result of his research showed that, by appropriately incorporating ML techniques, it was possible for a computerized trading system to maintain consistent profitability even in a declining market. The research also shows that the application of ML algorithms and techniques to financial trading is a promising direction in ML research due to its uniqueness. His results were presented as a research poster at the 2019 Oklahoma Research Day.