Dr. Nick Rahimi
Assistant Professor
Bio
Dr. Nick Rahimi is an assistant professor at the School of Computing Sciences & Computer Engineering at the University of Southern Mississippi (USM). He serves as the director of the Cyber Innovations Lab and is the Point of Contact (PoC) for the National Cybersecurity Agency (NSA) at USM. Dr. Rahimi earned his Ph.D. and master’s degrees in computer science from Southern Illinois University. He holds two bachelor’s degrees, one in computer software engineering and another in Information Systems Technologies with a concentration in Cybersecurity. His primary research interests encompass cybersecurity, distributed systems, machine learning in cybersecurity, decentralized networks, blockchain technology, cryptography, and internet anti-censorship. Dr. Rahimi brings substantial teaching experience to his role, having developed courses in cybersecurity, computer science, and information technology. He is the author of numerous papers in the fields of computer science and cybersecurity. Currently, he advises and mentors more than twenty undergraduate and graduate students engaged in computer science and cybersecurity research. Additionally, he possesses over eight years of industry experience, having worked as a software engineer and project manager.
BOOK CHAPTERS PUBLISHED @ 2023
(italics represents student contributions)
- S.A. Murad, N. Rahimi; "Security Challenges in the Industrial Internet of Things (IIoT)", to appear in Quality Assessment and Security in Industrial Internet of Things (IIoT) by CRC press Taylor and Fransis Group. 2024.
- N. Rahimi, S.A., Murad , S. Lee; "Entrepreneurship Opportunities in Cybersecurity", to appear in Role of ICT in Transforming Business & Management Practices, Apple Academic Press/ CRC Press, USA, 2024.
- N. Rahimi, S. Gudapati; "The Emergence of Blockchain Technology in Healthcare and Insurance Industry. Blockchain Technology Solutions for Secure of IoT-based Health Systems", Elsevier Science, USA, 2023.
REFEREED JOURNAL & CONFERENCE ARTICLES @ 2023
(italics represents student contributions)
- S.A. Murad , N. Rahimi. "Secure and Efficient Hierarchical P2P Fog Architecture: A Novel Approach for IoT", to appear in IEEE Internet of Things Journal, March 2024.
- S.A. Murad, Z, AZMI, A. Mujahid, A, Bhuiyan, N. Rahimi, "SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment" Future Generation Computer Systems, February 2024
- D. Willimas, N. Rahimi, J. Smay, S. Hemmati, "The Advantages of Optimizing Reaction Conditions Using Machine Learning to Improve and Predict Yield for the Polyol Millifluidic Synthesis of Silver Nanowires", Applied Nanoscience Journal, 1-14. 2023.
- S.A. Murad, Z, AZMI, A, Bhuiyan, N. Rahimi and A.K Bairagi. "Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing." Sustainable Computing: Informatics and Systems 2023 Nov 30:100942.
- N. Rahimi, I. Roy, L. Ziping, B. Gupta, N. Debnath. "Secured Communication in Generalized Non DHT-based Pyramid Tree P2P Architecture", International Journal of Computers and Their Applications. Pages 235-246, Vol. 30, No. 3, September. 2023
- I. Roy, R. Mitra, N. Rahimi, B. Gupta. "Efficient Non-DHT-Based RC-Based Architecture for Fog Computing in Healthcare 4.0", IoT, 4(2), 131-149, 2023.
- I. Roy, N. Rahimi, B. Gupta. "On Generalization of Residue Class Based Pyramid Tree P2P Network Architecture", International Journal for Computers & Their Applications acceptance rate, 30(3), 45-65, 2023.
- S.A. Murad, N. Rahimi. "Secure and Scalable Permissioned Blockchain using LDE-P2P Networks." IEEE IOTSMS. The 10th International Conference on Internet of Things: Systems, Management and Security, San Antonio, TX, Oct 2023.
- S.A. Murad, N. Rahimi. "PhishGuard: Machine Learning-Powered Phishing URL Detection", to appear in IEEE CPS /The 2023 International Conference on Computational Science and Computational Intelligence, Las Vegas, Nevada, June 2023.
- S.A. Murad, N. Rahimi. "Design of a New Secured Hierarchical Peer-to-Peer Fog Architecture Based on Linear Diophantine Equation", proceedings of 38th International Conference on Computers and Their Applications (CATA), 91, 86-97, March 2023.
- A. Gautam, N. Rahimi. "Viability of Machine Learning in Android Scareware Detection", proceedings of 38th International Conference on Computers and Their Applications (CATA), 91, 86-97, March 2023.
- PHD - Southern Illinois University-Carbondale (2017)
- MS - Southern Illinois University-Carbondale (2011)
- BS - Southern Illinois University-Carbondale (2009)
To learn more about my current research interests, ongoing activities, and recent publications, please visit the webpages listed below.