Department Chair,
Naus Family Faculty Scholar Professor
Naus Family Faculty Scholar Professor
Computer Science and Software Engineering
Liran Ma, D.Sc
Education
- D.Sc., Computer Science, The George Washington University, 2008
Research Interests
- Cybersecurity
- Artificial intelligence (AI)
- Education
Research Bio
Dr. Liran Ma is a Naus Family Faculty Scholar Professor and Chair of the Department of Computer Science and Software Engineering at Miami University. His current research focuses on cybersecurity in information and intelligent systems, and instruments for effective education on security and artificial intelligence to computer science and STEM majors.
Principal Publications
- Tianhui Zhang, Yan Huo, Qinghe Gao, Liran Ma, Yue Wu, Rayna Li, “Cooperative Physical Layer Authentication with Reputation-inspired Collaborator Selection,” IEEE Internet of Things Journal, Aug. 2023.
- Jian Mao, Qixiao Lin, Shishi Zhu, Liran Ma, Jianwei Liu, “SMARTTRACER: Anomaly-driven Provenance Analysis based on Device Correlation in Smart Home Systems,” IEEE Internet of Things Journal, Aug. 2023.
- Tianhui Zhang, Yan Huo, Liran Ma, Ela Guo, “Distributed Physical Layer Authentication: Overview and Opportunities,” IEEE Communications Magazine, April 2023.
- Jian Mao, Xiaohe Xu, Qixiao Lin, Liran Ma, Jianwei Liu, “EScope: Effective Event Validation for IoT Systems based on State Correlation,” Big Data Mining and Analytics, Vol. 6, Issue 2, Jan. 2023.
- Jialing He, Zijian Zhang, Liran Ma, Zhouyu Zhang, Meng Li, Bakh Khoussainov, Jiamou Liu, Liehuang Zhu, “InFocus: Amplifying Critical Feature Influence on Non-Intrusive Load Monitoring through Self-Attention Mechanisms,” IEEE Transactions on Smart Grid, Jan. 2023.
- Hao Yin, Zijian Zhang, Jialing He, Liran Ma, Liehuang Zhu, Meng Li, and Bakh Khoussainov, “Proof of Continuous Work for Reliable Data Storage over Permissionless Blockchain,” IEEE Internet of Things Journal, Vol. 9, Issue 10, May 2022, pp. 7866-7875.
- Jialing He, Zijian Zhang, Jian Mao, Liran Ma, Bakh Khoussainov, Rui Jin, and Liehuang Zhu, “Video Aficionado: We Know What You Are Watching,” IEEE Transactions on Mobile Computing, Vol. 21, Issue 8, Aug. 2022, pp. 3041-3052.