Dr. Nick Rahimi
Assistant Professor
Bio
Dr. Nick Rahimi is an Assistant Professor at CSCE, Director of the Cyber Innovations Lab, Cybersecurity Program Coordinator, and NSA Point of Contact. His research focuses on cybersecurity, trustworthy AI, decentralized systems, brain-computer interface security, digital warfare, and computing sciences education.
With extensive teaching experience, he has developed and taught courses in cybersecurity, computer science, and IT, alongside a strong publication record in peer-reviewed journals and conferences.
He holds a Ph.D. and master鈥檚 in computer science from Southern Illinois University and dual bachelor鈥檚 degrees in software engineering and information systems technologies.
More Info:
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Google Scholar
- PHD - Southern Illinois University-Carbondale (2017)
- MS - Southern Illinois University-Carbondale (2011)
- BS - Southern Illinois University-Carbondale (2009)
CSC 428- Machine Learning in Cybersecurity
CSC 460- Python in Data Science
CSC 327- Secure Software Dev
ITC 510- Cyber Law & Policy
- Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text, IEEE Transactions on Cognitive and Developmental Systems, ,
- Secure and Efficient Hierarchical P2P Fog Architecture: A Novel Approach for IoT, IEEE Internet of Things Journal, 2024,
- On Generalization of Residue Class Based Pyramid Tree P2P Network Architecture, International Journal for Computers & Their Applications, 2023
- Enhancing IoT Network Defense: A Comparative Study of Machine Learning Algorithms for Attack Classification, Proceeding of 33rd SEDE Conference: Software & Data Engineering (SEDE), 2024,
- SG-PBFS: Shortest gap-priority based fair scheduling technique for job scheduling in cloud environment, Future Generation Computer Systems, 2024,
- LDEPTH: A low diameter hierarchical P2P network architecture, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN),, 2016,
- Android Security and Its Rooting鈥擜 Possible Improvement of Its Security Architecture, Journal of Information Security, 2019,
- Security Challenges in the Industrial Internet of Things (IIoT), Quality Assessment and Security in Industrial Internet of Things (IIoT), 2024,
- Viability of Machine Learning in Android Scareware Detection, Proceedings of 38th International Conference on Computers and Their Applications (CATA), 2023
- Institute of Electrical and Electronics Engineers