Dr. Alireza Izaddoost

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Dr Alireza Izaddoost Personal Picture

Dr. Alireza Izaddoost is an associate professor in the Computer Science Department at CSUDH. In 2015, he received his Ph.D. in computer science from Ontario Tech in Canada. He joined CSUDH in 2018, previously working as an assistant professor at LSUS.

Artificial intelligence in cybersecurity, the Internet of Things, cloud security, and big data analytics are among his research interests. Because of the significance of AI, he expanded his research to create more intelligent security systems, such as intrusion detection systems and credit card fraud detection systems, using AI.

His current studies focus on securing systems using cloud computing and artificial intelligence applied to large datasets. The study of applying AI methods to big data using cloud platforms has become increasingly popular in recent years due to the significance of big data analytics in developing more dependable systems and improving cybersecurity. Because of the nature of big data, such as the required amount of space and computational resources, different methods and strategies need to be studied and developed to process the data as quickly as possible while maintaining a high level of accuracy.

In addition to conducting research, he teaches cybersecurity and big data analytics at CSUDH. Since 2020, he has been a faculty instructor at Google Tech Exchange in the applied data structures course. His primary goal is student success, and he actively participates in research with undergraduate and graduate students. He currently mentors one undergraduate student in the Cal-Bridge program and serves on committees or as the chair of graduate projects at CSUDH.

Selected Publications

    • Astaneh, S.A.; Shah Heydari, S.; Taghavi Motlagh, S.; Izaddoost, A. Trade-offs between Risk and Operational Cost in SDN Failure Recovery Plan. Future Internet 2022, 14, 263. https://doi.org/10.3390/fi14090263
    • R. Chauhan, U. Sabeel, A. Izaddoost, and S. Shah Heydari, "Polymorphic Adversarial Cyberattacks Using WGAN," Journal of Cybersecurity and Privacy, vol. 1, no. 4, pp. 767–792, Dec. 2021.
    • Safari Yazd, Nazila, Jennifer Kawakami, Alireza Izaddoost, and Patrice Mégret. 2021. "Effect of Peak Tracking Methods on FBG Calibration Derived by Factorial Design of Experiment" Sensors Journal, 21, no. 18 A.
    • Izaddoost, M. Siewierski, "Energy Aware Multi-hop Data Transmission in IoT Platforms" 2021 3rd International Conference on Electronics Representation and Algorithm (ICERA), 2021, pp. 41-44
    • A. Izaddoost, M. Siewierski, "Energy Efficient Data Transmission in IoT Platforms" Procedia Computer Science, Volume 175, 2020, 387-394, 2020
    • A. Izaddoost, E. Ogodo, S.Prasai, "Enhanced Data Transmission Platform in Smart Farms", COINS '19: Proceedings of the International Conference on Omni-Layer Intelligent Systems May 2019 Pages 58–61
    • A. Izaddoost and S. S. Heydari, "Risk-adaptive strategic network protection in disaster scenarios," in Journal of Communications and Networks, vol. 19, no. 5, pp. 509-520, October 2017.
    • Alireza Izaddoost and Carolyn McGregor, "Enhance Network Communications in a Cloud-based Realtime Health Analytics Platform Using SDN," 2016 IEEE International Conference on Healthcare Informatics, IEEE Computer Society, pp. 388-391, October 2016.
    • A. Izaddoost and S. S. Heydari, "Enhancing network service survivability in large-scale failure scenarios," Communications and Networks, Journal of, vol. 16, pp. 534-547, 2014.
    • A. Izaddoost and S. S. Heydari, "Topology-based Proactive Network Protection in Large-scale Failure Scenarios," Procedia Computer Science, vol. 34, pp. 111-117, 2014.
    • A. Izaddoost and S. S. Heydari, "Proactive risk mitigation for communication network resilience in disaster scenarios," in A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2014 IEEE 15th International Symposium on, 2014, pp. 1-4. 2014.
    • A. Izaddoost and S. S. Heydari, "Preventive network protection in probabilistic large-scale failure scenarios," in Globecom Workshops (GC Wkshps), 2012 IEEE, 2012, pp. 858-862. 2012.
    • A. Izaddoost and S. S. Heydari, "Analyzing network failures in disaster scenarios using a travelling wave probabilistic model," in Communications (QBSC), 2012 26th Biennial Symposium on, 2012, pp. 138-141. 2012.
    • A. Izaddoost and S. S. Heydari, "A probabilistic model for network survivability in large scale failure scenarios," in Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on, 2012, pp. 1-5. 2012.
    • A. Izaddoost, M. Othman, and M. F. A. Rasid, "Accurate ICMP TraceBack Model under DoS/DDoS Attack," in Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on, 2007, pp. 441-446.

    Patent

    • Proactive Controller for Failure Resiliency in Communication Networks. Issued Mar 7, 2017 Patent issuer and number: United States Patent 9,590,892

    Teaching

    • Spring 2023
      • TBA
    • Prior teaching
      • CSC 311 Data Structures ( undergrad and graduate students, fall 2018, spring 2019, fall 2019)
      • CSC 331 Computer Organizations ( undergrad and graduate, fall 2018)
      • CSC 459 Security Engineering (undergrad students, spring 2019)
      • CSC 555 Info Assurance and Security ( graduate students, spring 2019) 
      • ITC 459 IT Security (undergrad students, spring 2019)
      • CYB 548 Advanced OS Security ( graduate students, summer 2019)
      • CSC 451 Computer Networks ( undergrad students, fall 2019)
      • CSC 551 Communication and Networks (graduate students, fall 2019)