Hossein Saiedian, Ph.D.

Man with dark grey hair, light colored glasses and a blue plaid suit.
  • Professor, Electrical Engineering & Computer Science

Contact Info

785-864-8812
2001 Eaton Hall
Lawrence
1520 W 15th St
Lawrence, KS 66045

Personal Links

Research —

Software-driven products and services have profoundly impacted and improved many facets of our lives, from our daily calendar reminders to how we communicate or how we collect information for making important decisions or how we may locate a long-lost friend thru a social networking service. My primary research interest is in software engineering (the discipline of building software) and, in particular, studying and introducing models for developing quality software. The software engineering discipline has provided and continues to provide me a great opportunity to enhance and contribute to the improvement of software-driven products and services. I am fascinated by the challenges of analyzing, designing, and implementing software systems that are more stable and secure and will make software-driven products and services more friendly and run more reliably. Within the software engineering discipline, I have particular interests in new modeling techniques (especially those that rely on and facilitate rigorous analysis), software architecture, secure software engineering, and software processes. The results of my past research contributions have been widely publicized and used as evident by various research impact indexes and indicators. To sustain and enrich my research and its impact, I have always looked and will continue to look for opportunities for active collaboration with my colleagues and with industrial practitioners, and I will fully engage my graduate students. Furthermore, when my time allows and important opportunities arrive, I engage in industrial consulting and collaboration when such collaborations facilitate professional growth and positively impact my research contributions, teaching, and enhance my institutional reputation. In addition to software engineering, I am also interested in information security, in particular secure software engineering. My future work will partially focus on better understanding of software systems security requirements and more effectively building the security requirements into the software. I have always been open in evaluating my research impact or viewing it from a different perspective in order to challenge myself, to consider other opportunities, and to expand my potential. As such, I have always been open to other interesting topics and continue to contribute to research in areas other than software engineering when the anticipated research result show substantial positive impact on basic science and contribute to quality of life. I view research, both basic and applied research, absolutely essential to stay current in my field, to positively advertise my home institution through dissemination of my research results in prestigious journals and international conferences, to collaborate with industry, to secure external funds, and to continually update my classroom lectures and lab projects. I also believe that one of my most important responsibilities as a researcher is to train and prepare our graduate students for important RD positions in industry and to train the next generation of university faculty.

Teaching —

Teaching interests:

  • Alternate mode of course delivery
  • project-oriented
  • team-oriented
  • industrial-strength projects
  • ethics and professionalism

Selected Publications —

Hein, D., Saiedian, H. (2018). A New Approach to Predict Security Vulnerability Severity in Attack Prone Software Components Using Architecture and Repository Mined Change Metrics (Under review). IEEE Transactions on Dependable and Secure Computing.
Bryant, B., Saiedian, H. (2018). Decreasing the Mean Time to Respond to Network Security Events with a Novel Configuration of SIEM Software (Under review). International Journal of Information Security (Springer).
Underwood, B., Saiedian, H. (2018). Mass Surveillance Practices and Technologies: A Brief Survey and Future Directions. IEEE Security and Privacy.
Kang, M., Saiedian, H. (2017). USBWall: A novel security mechanism to protect against maliciously reprogrammed USB devices. Information Security Journal/ A Global Perspective - Issue 4 | Volume 26. https://doi.org/10.1080/19393555.2017.1329461.
Bryant, B., Saiedian, H. (2017). A novel kill-chain framework for remote security log analysis with SIEM software. Computers and Security - Volume 67. https://doi.org/10.1016/J.COSE.2017.03.003.
Richey, M., Saiedian, H. (2017). Compressed fixed-point data formats with non-standard compression factors. International Journal of Signal and Imaging Systems Engineering - Issue 6 | Volume 10. https://doi.org/10.1504/IJSISE.2017.087981.
Oyler, A., Saiedian, H. (2016). Security in automotive telematics: a survey of threats and risk mitigation strategies to counter the existing and emerging attack vectors. Security and Communication Networks - Issue 17 | Volume 9. https://doi.org/10.1002/SEC.1610.
Saiedian, H., Hein, D. (2016). Predicting Attack Prone Software Components Using Repository Mined Change Metrics. International Conference on Information Systems Security and Privacy.
Hein, D., Saiedian, H. (2016). Predicting Attack Prone Software Components using Repository Mined Change Metrics. International Conference on Information Systems Security and Privacy - Pages 554-563. https://doi.org/10.5220/0005812905540563.
Chesser, C., Saiedian, H. (2015). A Regression Test Selection Technique for Graphical User Interfaces. IEEE Transactions on Software Engineering.
Tetmeyer, A., Hein, D., Saiedian, H. (2014). A Tagging Approach to Extract Security Requirements in Non-Traditional Software Development Processes. International Journal of Secure Software Engineering - Issue 4 | Volume 5. https://doi.org/10.4018/IJSSE.2014100102.
Saiedian, H., Diaz, V., Hein, D., Garcia-Bustelo, B., Saiedian, H., Lovelle, J., Hein, D. (2014). Reasoning Qualitatively about Handheld Multimedia Framework Quality Attributes. V.G. Diaz, B.C. Garcia-Bustelo, J.M. Lovelle (Eds.). Handbook of Research on Innovations in Systems and Software Engineering. (pp. 731-745). Information Science Reference. [9781466663596].
Morozov, S., Saiedian, H., Wang, H. (2014). Reusable Prime Number Labeling Scheme for Hierarchical Data Representation in Relational Databases. Journal of Computing and Information Technology - Issue 1 | Volume 22. https://doi.org/10.2498/CIT.1002310.
Tetmeyer, A., Saiedian, H. (2014). A software requirement tool for capturing implied security requirements. The Journal of Defense Software Engineering - Issue 6 | Volume 27.
Wedman, S., Tetmeyer, A., Saiedian, H. (2013). An Analytical Study of Web Application Session Management Mechanisms and HTTP Session Hijacking Attacks. Information Security Journal/ A Global Perspective - Issue 2 | Volume 22. https://doi.org/10.1080/19393555.2013.783952.