Mohd Anwar is an Assistant Professor of Computer Science, and Director of Secure and Usable Social Media & Networks Lab. Dr.Anwar has experience and interest in designing usable secure, privacy-preserving, and trusted infrastructures, systems, and applications in different online contexts, specifically in Online Social Networks (OSN), e-Learning, and e-Health domains. His recent publication includes topology-based access control model for social network systems, trust-based approach to mitigate attacks on IP networks, access control policy models, visualization of access control policies for end-users in social network systems, and a privacy-enhancing identity management models for e-Learning.
Dr. Anwar’s research incorporates usability and human factor issues in the design and development of security and privacy solutions. His multidisciplinary research approach integrates computer science concepts with theories from social sciences (such as Goffman’s impression management theory, Roger’s protection motivation theory, communication-human information processing theory, Cognitive Behavioral Theory). Dr. Anwar serves as program chair in the IEEE International Workshop on Issues and Challenges in Social Computing and is an editorial board member of the Journal of Privacy & Health Information Management.
Rahmira is pursuing a PhD in Computer Science with an interest in information assurance. She is a teaching and research assistant for the department of computer science. Rahmira has experience in systems engineering, web development, project and contract management. Her information assurance background includes systems security design and enterprise information security architecture. Rahmira has received a master’s and bachelor’s degree in computer science, while also obtaining an information privacy and security certification.
Ashiq holds a bachelor’s degree in Computer Science from Bangladesh University of Engineering & Technology. He is currently a graduate research assistant under the supervision of Dr. Anwar at the Department of Computer Science, and a member of the SUSMaN Lab. His research interests lie in Cloud auditing and mobile health.
James is an undergraduate research assistant, as well as a tutor and teaching assistant for the computer science department. He has programming skills in the languages of Java, C++, and HTML. He has experience with Windows, Linux, and Android platforms. James has aided in varius graduate research studies on the topics of Google+, security and development of operating systems, and social media search algorithms.
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