I enjoy teaching networking and security courses in the Internet of Things (IoT) era with an ever-increasing number of devices and their connectivity.
Jinoh Kim, Ph.D. Professor
- Faculty
Along with his role as an associate professor of computer science at A&M-Commerce, Dr. Jinoh Kim is an affiliate faculty scientist at Lawrence Berkeley National Laboratory (LBNL) and a Silicon Valley Cybersecurity Institute (SVCSI) member. Before returning to academia, he was a senior researcher at ETRI, a national lab in Korea, working on broadband networking systems and security since 1991.
He transitioned to academia with a vision of innovative, in-depth research and learning in networking and security with talented students and colleagues in the open community. His research goal lies in providing greater reliability and predictability in networked systems with complex functionality and components, utilizing machine intelligence and algorithmic methodologies.
A Conversation with Dr. Kim
What has been your favorite course to teach?
I enjoy teaching networking and security courses in the Internet of Things (IoT) era with an ever-increasing number of devices and their connectivity. The networking course explores the concepts of network algorithms, protocols and architecture, with their rationale and intuitions to understand the complexity of modern computer networks. The security course focuses on the principles of security objectives and functions, with practical measures against emerging threats and vulnerabilities in the computing world with growing connectivity.
Tell us about a project you are currently working on or recently completed.
Our research group has explored security concerns in the 6G mobile communication setting with the University of Colorado Colorado Springs since 2021. We particularly focus on aerial base station security, which will be increasingly utilized in the new mobile communications settings, with two research challenges: (1) potential malware attacks against aerial base stations and (2) location integrity essential for mobile entities for accurate dispatch and placement. This project produced two journal articles (IEEE Transactions on Network and Service Management and IEEE Access) and three conference papers (including IEEE Big Data 2021 and IEEE Conference on Machine Learning and Applications 2023). Computer Science graduate student Chiho Kim received the first place award at the 17th annual Texas A&M University System (TAMUS) Pathways Student Research Symposium in 2022 with his work on this project.
Educational Background
- Ph.D., Computer Science, University of Minnesota, 2010
- M.S., Computer Science, Inha University, 1994
- B.E., Computer Science and Engineering, Inha University, 1991
Awards and Honors
- Research Mentor of the Year, Texas A&M University-Commerce, 2022
- Finalist for Best Paper, International Conference on Blockchain and Cryptocurrency, Institute of Electrical and Electronics Engineers, 2021
- Nominee, H.M. Lafferty Distinguished Faculty Award for Scholarship and Creative Activity, Texas A&M University-Commerce, 2018, 2020
- Visiting Faculty Program, U.S. Department of Energy, 2015, 2016
- Outstanding Contributions Award, Society for Design and Process Science, 2014
Academic Positions
- Assistant Professor, Texas A&M University-Commerce, 2012-present
- Assistant Professor, Lock Haven University of Pennsylvania, 2011-2012
Research Interests
- Network security, monitoring and management
- Machine learning, systems/network telemetry and analytics
- Distributed systems, data-intensive computing and scientific computing
Professional Organizations
- Steering Committee, International Workshop on Systems and Network Telemetry and Analytics
- Senior member, Institute of Electrical and Electronics Engineers
- Member, Association for Computer Machinery
- Member, Korean-American Scientists and Engineers Association
Research Funding
- $148,857, University of Colorado Colorado Springs, 2021-2024
- $141,000, ETRI, 2017-2019
- $48,000, ETRI, 2016-2017
- $193,723, Sysmate Inc., 2012-2015
- $122,000, ETRI, 2013-2015
Selected Publications
Featured Courses
- CSCI 351 Foundations of Info Security
- CSCI 434 Intro to Computer Networks
- CSCI 518 Thesis
- CSCI 525 Networking I
- CSCI 556 Data Analysis and Visualization
- CSCI 563 Information Security
- CSCI 597 Cryptocurrencies and Blockchain Technologies
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