Secure and Usable Social Media & Networks (SUSMaN) Lab

About Us

The Secure Usable Social Media & Networks (SUSMaN) Lab at North Carolina A&T State University, led by Dr. Mohd Anwar, conducts research on a diverse set of topics related to: (1) Security and Privacy in Online Social Networks, Cloud, and Mobile platforms, (2) health information management and mHealth. The interdisciplinary research approach of SUSMaN Lab provides rich and diverse learning experience to both graduate and undergraduate researchers. Our research is funded by grants from several agencies including National Science Foundation and Air Force Research Lab.

News and Updates

Research Grant

Dr. Anwar is the lead principal investigator and center director for Advanced Studies in Identity Sciences.

Research Grant

Dr. Anwar received a grant on Qualitative Analysis for Network of Things Models in mobile environment from the United State Air Force Research Laboratory.

Research Grant

Dr. Anwar is a co-principal investigator in an NSF/NSA-funded REU in data science analytics.

Research Grant

Dr. Anwar received a grant from NSF Beacon Center.

Research Grant

Dr. Anwar is an investigator in an NSF-funded data science and implementation project.

Reserach Grant

Dr. Anwar received an UNC Inter-institutional Grant with NC State, UNC Chapel Hill, and UNC Charlotte.

Research Grant

Dr. Anwar received a grant from NSA.

Research Grant

Dr. Anwar received a prestigious research grant from NSF's Secure and Trustworthy Cyberspace Program!

Research Grant

Dr. Anwar received a research grant from Air Force Research Lab to work on Cloud Security!

Research Grant

Dr. Anwar received a research grant from RTI International and an appointment as RTI Scholar!

Research Grant

Dr. Anwar is a co-principal investigator of Carolina Seminars: Rural Carolina, Globally Tackling Obesity.

Student Accomplishment

Paul Biocco has won first place in the College of Engineering Poster Competetion under MS-category!

Student Accomplishment

Opeyemi Aborisade has completed her Master's degree.

Student Accomplishment

Siobahn Day, a Ph.D. candidate, received prestigious Grace Hopper Scholarship (Fall 2017).

Student Accomplishment

James Brown accepted a faculty position at Forsyth Tech Community College (Fall 2017).

Student Accomplishment

K'Shjuan Davis has completed his Master's degree.

Student Accomplishment

James Brown successfully defended Master's thesis titled, "An Evolutionary Approach to Cybersecurity: Protecting Mobile Devices & Networks" (Spring 2017).

Student Accomplishment

Brandon Murphy successfully completed his Master's project titled, "Network Monitoring for Threat & Vulnerability Identification in a Cloud System" (Summer 2016).

Student Accomplishment

Janette Archie successfully defended Master's thesis titled, "TROS: The Categorization of Trust in Social Networks using Semantic Web" (Spring 2016).

Student Accomplishment

Ashiq Imran completed Master's thesis titled, "Ontology-based Access Control for Addressing Multi-tenancy in Health Cloud" (Fall 2015).


Dr. Anwar was recently appointed to serve on the NIH review panel.


Dr. Anwar was recently appointed to the editorial board of the International Journal of Healthcare Information Systems & Informatics.

Media Coverage

Dr. Anwar and his colleague Prof. Joshi of the University of Pittsburgh show how Facebook's mutual-friend feature creates security risks and privacy concerns : When Friends Create Enemies.

Areas of Research

Usable Security and Privacy Controls in Software Systems

How do we measure and improve the efficiency of security and privacy controls in Software Systems?

Agents & Ontology

How can cognative agents be built to provide security?

Trust & Reciprocity in Online Social Media

How can trust and reciprocity be modeled and measured in Online Social Media?

Smart Health and Wellbeing Systems

How can personal computing technologies be used for ubiquitous health and wellness management?

Network of Things and Cloud

How can data privacy can be achieved in an environment supported by Network of Things?

Machine Learning and AI Applied to Security

How can machine learning and AI be applied to address cybersecurity issues?

Affective Computing

How can machines be used to detect and respond to human emotions and thoughts?

Our Reserach Team

Mohd Anwar, Ph.D.

Associate Professor of Computer Science

Director, Center for Advanced Studies in Identity Sciences

Director, Secure and Usable Social Media & Networks Lab

Co-Director, Cyber-Human Analytics Research for Internet of Things


Mohd Anwar is an Associate 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.

PhD Students

Siobahn Day

PhD Candidate

Privacy in Social Networks

May Almousa

PhD Student

Cybersecurity Analytics

Bernard Aldrich

PhD Student

Affective Computing

Brittany Davis

PhD Student


Munene Kanampiu

PhD Candidate

Intrusion Detection in Social Networks

James Brown

PhD Student

System Security, Artificial Immune Systems

Master's Students

Paul Biocco

Authentication, Intrusion Detection, Neural Networks

Mahsa Keshavarz

Smart Homes, Machine Learning, Differential Privacy

Jeremiah Ufot

Smart Health

Undergraduate Students

Patrick Hines

Ubiquitous computing, IoT, Machine Learning, Artificial Intelligence

Amari Vaughn

Data Science

Holly Jupiter

Network of Things

Yang Liu

Machine Learning, Network of Things


K'Shjuan Davis

Master's of Computer Science

Garius Thomas

Bachelor's of Computer Science

Janette Archie

Master's of Computer Science

James Brown

Master's of Computer Science

Opeyemi Aborisade

Master's of Computer Science

Prospective Students

"Hard work beats talent when talent fails to work hard" - Kevin Durant.

A Ph.D. or Master's student position is immediately available!

Apply only if you are talented and hardworking.

If you are interested to join SUSMaN Lab, please e-mail Dr. Anwar a one-page persuasive essay on your suitability for doing research in any of the aforementioned areas.

Minimum Requirements

Ability to think critically and read and write well (a somewhat reasonable metric is GRE score).

An undergraduate degree from an accredited Computer Science or related program.

3.2 GPA on a 4.0 scale.

Recent Publications


GeoInformtics Lab, University of Pittsburgh

LERSAIS Lab, University of Pittsburgh

Old Dominion University

Center for Cyber Defense, NC A&T State University

Contact Us

Email: | Phone: 336.285.2457 | Twitter: @susman_lab