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Alireza Izaddoost, Ph.D.

Dr. Alireza Izaddoost

Name: Dr. Alireza Izaddoost

Title: Assistant Professor

Start Year at LSUS: August 2016

Department: Department Of Computer Science

Office Location: Technology Center 250

Office Phone: 318-795-4283


Teaching Assignments:

CSC 151: Introduction to Networking I (CCNA 1)
CSC 285: Object-Oriented and Design Pattern in Java
CSC 315: Introduction to database System (Oracle Academy)
CSC 430: Computer Networks (Undergrad Students)
CSC 630: Computer Networks (Graduate Students)
CSC 438: Network and Computer Security (Undergrad Students)
CSC 638: Network and Computer Security (Graduate Students)
CST 707: Data modeling and Database design (Graduate Students)

Selected Publications:

Refereed Journal Articles

  • 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, “Risk-Adaptive Strategic Network Protection in Disaster Scenarios”, Journal of Communications And Networks (Accept 27-Mar-2017) 

Refereed Conference Papers

  • 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, "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.

Personal Bio:

I'm an assistant professor in the Department of Computer Science at the Louisiana State University in Shreveport (LSUS). I am also the Cisco Academy Director for the Computer Science program and the leader of the Advanced Networking Lab. 


My current research focuses on real time big data stream processing using Apache Storm platform which is currently the most known opensource distributed platform for real-time big data processing. 


Real-time big data streaming allows continuous monitoring of situations where a fast and accurate reaction has a significant effect to address critical conditions. Our proposed platform can be applied in different situations to make appropriate response when real-time data processing is important as well as study behavior of human physiological data or processing real-time weather information. 


Beside my research, I have tried to enhance and improve learning contents taught Department of Computer Science by developing new course materials in fundamental courses such as database and computer networking. To achieve this goal, I have joined LSUS as an educational institution member of the Oracle Academy and cover “introduction to database system” course through Oracle Academy materials. I have also developed a new curriculum in Network Security concentration by adding five new courses in NS concentration to prepare students with a combination of deep theory knowledge and deep practical experience. 




Patent Title: Proactive Controller for Failure Resiliency In Communication Networks

Abstract: Network devices and systems relating to prevention of large-scale network failure and determining a probability of a large-scale network failure for a network. The network devices may control rerouting of network traffic from failed network paths to preventative paths with probabilities of failure below determined thresholds. The network devices monitor and process real time data for dynamic and proactive rerouting when large-scale network failure occurs or is likely to occur.

US patent No. 9,590,892, Issued: March 7, 2017.





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