Anitha Chennamaneni Profile
Dr. Anitha Chennamaneni
- Subhani Department of Computer Information Systems
- Professor of Computer Information Systems
Chair, Subhani Department of Computer Information Systems - Room: FH-323K
Dr. Anitha Chennamaneni is a Professor, Beck Family Senior Faculty Fellow, and Chair of the Subhani Department of Computer Information Systems (CIS) at Texas A&M University-Central Texas. She also serves as the Director of the Center for Cybersecurity Innovation Center. She has over eleven years of experience providing academic leadership, strategic vision, and direction for the CIS department. Additionally, she has held several leadership roles in many university and college committees, including serving as the chair of the Institutional Review Board (IRB), graduate program leader, university research mentor, and a member of the faculty senate, curriculum & assessment committee, COBA accreditation, and strategic planning steering committee, among others. Before embarking on an academic career, she worked in the IT industry for over ten years for major companies in designing, developing, and implementing Information Systems.
She is the principal investigator on two cybersecurity contracts totaling $6.96 million awarded by the United States Air Force and the Department of Homeland Security. She is also the principal investigator on the National Science Foundation (NSF) Collaborative Research grant for $199,971. She served as a Co-PI on two curriculum development/teaching grants totaling $534,570 in data analytics awarded by the Texas Higher Education Coordinating Board. Her research publications appear in several peer-reviewed journals and conferences.
Research Interests: Cybersecurity, IT Security & Privacy, Machine Learning, Artificial Intelligence, Deep Learning, Internet of Things (IoT), Digital Forensics, Knowledge Management, Mixed Reality, Social Networking Technologies, and IS Education
Teaching Interests: Information Systems, Cybersecurity, Information Security & Risk Management, Artificial Intelligence and Machine Learning, Big Data Analytics, Advanced Database Management, IT Project Management, Systems Analysis & Design, Programming Languages