Jan. 28 Transition to Virtual Operations, Campus Closed

Bowie State University will be transitioning to virtual operations for all classes and office operations on Wednesday, January 28, 2026. The campus will be closed to all non-essential personnel, and all campus activities are canceled. All buildings except residence halls will be closed. Essential personnel should report on time. This is due to the extended time required to clear the extensive snow and ice accumulation on campus. University crews are making every effort to resume campus operations, as a safe return to in-person learning and work remains our top priority. Only essential personnel and residential students are permitted access to the campus on Jan. 28. For more information, please visit BowieState.edu/weather.

Research Projects

Year 1 - 2019

1) Research Topics- Bowie State University

Cyber Threat Intelligence Discovery Using Machine Learning

Mentor: Dr. Azene Zenebe

Research Question: How effective are various machine learning algorithms for Cyber Threat Intelligence discovery from dark web form posts, which are unstructured data?

Hypotheses:

Function-based Machine Learning algorithms have higher accuracy than Tree-based Machine Learning algorithms.
Function-based Machine Learning algorithms have higher reliability than Tree-based Machine Learning algorithms.

2) Framework To Secure Industrial Control Systems

Mentors: Dr. Guy-Alain Amoussou and Dr. Azene Zenebe

Research Questions:

How do we design a framework to support the security of ICS/SCADA systems for critical infrastructures?
How can we visualize and monitor cyber threats to successfully prevent attacks on ICS/SCADA systems?

Year 2 - 2021

1) Strengthening Industrial Control Systems(ICS) Security through Incident Response (IR)

Mentor: Dr. Guy-Alain Amoussou

Project Goals:

To implement software defined networking (SDN) and network function virtualization (NFV) enabled incident response(IR) in industrial control systems (ICS) to enhance its security.

2) A Machine Learning Approach to Enhancing Intrusion Detection Systems

Mentors: Dr. David Anyiwo

Research Question:

How effective are various machine learning algorithms in ensuring network security and enhancing intrusion detection systems?

Research Goal:

Find the most accurate machine learning algorithm that can increase intrusion detection systems efficiency through automation.

3) Analysis of Privacy and Vulnerabilities in Home IoT Enabled Smart Device

Mentors: Dr. Rosemary Shumba