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Bilquis Ferdousi, Ph.D.

Associate Professor

Information Assurance

School of Information Security and Applied Computing

206 E Roosevelt Hall

734.487.9533

bferdous@emich.edu

Education

Ph.D. in Information Systems, Nova Southeastern University, FL
Master of Science in Information Systems, University of Texas at Arlington, TX
Bilquis Ferdousi

Professional Summary

Interests and Expertise

Cloud Computing, Social Engineering in Cyber Security, Human Computer Interaction, Digital Technology in Learning, Acceptance of Technology, and Gender Gaps in STEM.

Courses

  • IA103-Information Security Overview
  • IA110- Concepts of Network and Business Technology 
  • IA213-Privacy and Technology
  • IA240-Intalligence Analysis I
  • IA329W-Policy Development in Information Assurance
  • IA425-Cybercrime Investigations
  • IA427-Digital Forensic I
  • IA651-Enterprise Incidence Response
  • IA681-Advance Intrusion Detection
  • TS505- Introduction to Technology and Society

Selected Publications

  • Ferdousi, B. (2017). Effective integration of advanced mobile technology for course delivery in Information Technology programs.Technology Interface International Journal, 18(1), 29-35.  
  • Ferdousi, B. (2017). Gender gaps in undergraduate computer technology programs: Develop a theoretical research framework. International Journal of Arts and Sciences (IJAS), 10(1), 129-136.  
  • Ferdousi, B. (2017). Factors affect students’ adoption of digital technology in learning process. Proceedings of the 2017 Association of Technology, Management, and Applied Engineering (ATMAE) Conference, OH, 190-194.  
  • Ferdousi, B. (2016). Addressing student retention and persistence issue in online classes. Proceedings of the 2016 American Society for Engineering Education (ASEE) North Central Section Conference, MI, 1-7.  
  • Ferdousi, B. & Bari, J. (2015). Infusing mobile technology into undergraduate courses for effective learning. Procedia - Social and Behavioral Sciences, 176, 307–311.  
  • Ferdousi, B. & Levy, Y. (2010). Development and validation of a model to investigate the impact of individual factors on instructors’ intention to use e-learning systems. Interdisciplinary Journal of E-Learning and Learning Objects, 6(1), 1-21.  
  • Ferdousi, B. (2009). Determinants of Information Technology acceptance: A review of technology acceptance model. Proceedings of the Fifth Annual South Carolina Upstate Research Symposium-2009, SC, 48-51.

Selected Presentations

Professional Memberships and Affiliations

Grants

Awards and Patents

Additional Information