Intro: Dr. Junghwan (John) Rhee is an associate professor at University of Central Oklahoma. He was a senior researcher at NEC Laboratories America where he worked on multiple cybersecurity and computer system projects for nine years. He obtained a Ph.D. in the Department of Computer Science at Purdue University. His academic advisor at Purdue was Prof. Dongyan Xu and he was a member of a system research group, Lab FRIENDS.
Research Interest: His research interest lies in system security and reliability solving research problems in system diagnosis, system reliability issues, end-host security, system provenance, IoT, cyber physical systems, and digital forensic with program analysis, runtime systems, operating systems and AI techniques.
Education
Ph.D., Computer Science, Purdue University
M.S., Computer Science, The University of Texas at Austin
Intro: Dr. Myungah (Grace) Park is a Professor of Computer Science, a member of UCO Forensic Science Curriculum Committee Council, a member of NCWIT Academic Alliance, Women in Cybersecurity (WiCys), the Cybersecurity Coalition (CyCo) of Oklahoma, OWASP. She is also a director/supervisor of CodeOkie K12 Outreach Program (2015 - 2021), a member of UCO Information Policy Task Force Team (2013-2014), a member of GIAC Digital Forensic Analyst (2009-2013), a senior member of Engineering Staff at Eletronics and Telecommunications Research Institute of Korea (ETRI) from 1993 to 2001.
Research Interest: Her research interest is in Security/Computer Science Education with emphasis on Network Security and Optimization and Cryptography, Web Application Security, Curriculum Design, Tranformative Learning/Service Learning, and K12 CS Education.
Education:
Ph.D., Computer Science, The University of Texas at Dallas
M.S., Computer Science, The University of Texas at Dallas
M.S., Mathematics (concentration: Mathematical Statistics), Chungnam National University
Intro: Dr. Fei Zuo is an assistant professor at University of Central Oklahoma. His research combines Cyber-security with Machine Learning. More concretely, he focuses on developing data-driven solutions in the security field of software system and Internet of Things. He also works on AI security, with a special interest in defensive techniques against adversarial learning. He was a research intern at NEC Laboratories America. He has authored over 10 computer science related textbooks.
Research Interest: Software Security, IoT Security, Adversarial Learning, Artificial Intelligence
Education:
Ph.D., Computer Science, University of South Carolina
M.S., Computer Science, The University of Melbourne
M.Econ., Finance, Sun Yat-sen University
B.S., Software Engineering, Northwestern Polytechnical University
Intro: Dr. Shuai Zhang is an assistant professor in the Department of Computer Science at University of Central Oklahoma. He earned a Ph.D. degree in Computer Science at The University of Texas at Dallas (UTD). At UTD, he worked in Net-Centric & Cloud Software and Systems Lab, mainly on sematic-driven monitoring data process and management for Internet of Things and Cloud Computing. In 2017, he also worked as a software engineering intern at Google, in the direction of secured collaborative maching learning for mobile applications.
Research Interest: His research interests include Cloud Computing, Quality of Service Assurance, Large-scale Data Managemnet, and Image Processing for Human-computer Interaction.
Education:
Ph.D., Computer Science, The University of Texas at Dallas
M.S., Electronic Information Science and Technology, University of Science and Technology of China
B.S., Electronic Information Science and Technology, University of Science and Technology of China
Intro: Dr. Goutam Mylavarapu is an Assistant Professor in the Department of Computer Science at the University of Central Oklahoma. He conducted multi-disciplinary research in multiple roles at Oklahoma State University and Murray State University. He also served as a Community Development Educator at Oklahoma State University. In 2018, he worked as a Data Scientist Intern for a real estate development company in North Texas. He is an active author and peer-reviewer for international journals and multiple IEEE and ACM conferences in computing sciences.
Research Interest: His research interests primarily lie in the area of Data Science with an emphasis on data preprocessing, mining, and analysis using Applied Machine Learning. He also works in Health Informatics, Artificial Intelligence, and Data Privacy & Security.
Education:
Ph.D., Computer Science, Oklahoma State University
M.S., Computer Science, Oklahoma State University
B.Tech., Computer Science & Engineering, Jawaharlal Nehru Technological University
Intro: Dr. Xianshan (Amy) Qu is an Assistant Professor in the Department of Computer Science at University of Central Oklahoma. Before joining UCO, she served as an Applied Researcher at Microsoft, specializing in Retriever-Augmented Generation (RAG) and prompt engineering for Large Language Models (LLMs). Prior to her role at Microsoft, she was a Research Scientist at Meta, where she contributed to various practical AI domains, including code auto-completion and code synthesis. She also gained valuable internship experience with several companies, such as Pinterest, Samsung Research America, where she engaged in cutting-edge projects.
Research Interest: Her research focuses on practical AI areas, encompassing code auto-completion, code synthesis, retriever-augmented generation, and prompt engineering. Recently, she has developed a keen interest in teaching seniors to use AI for enhancing their daily living.
Education:
Ph.D., Computer Science, University of South Carolina
M.S., Instrument Science and Technology, Southeast University
B.S., Measurement and Control Technology, Nanjing University of Posts and Telecommunications