Dr. Alex Vincent Mbaziira was admitted to the prestigious order of Diamond Ambassador of Uganda Martyrs
University, as a recipient of UMU Outstanding Alumni Award at the 2022 Inaugural Edition under the category of:
Global Corporate Citizen (IT).
Dr. Alex Vincent Mbaziira is a double graduate of Uganda Martyrs University (Masters in Information Systems, 2004; and BSc. Computer Science and Economics, 2000). He is a tenure-track Assistant Professor for Cybersecurity and Artificial Intelligence at Marymount University in the Washington-DC metro area, USA. He teaches doctoral-level classes in malware analysis and cyber threat intelligence and has successfully mentored doctoral students employed with the US Federal government, US Department of Defense and private sector, especially big-tech.
He immigrated to the US as a Fulbright Scholar at George Mason University, where he published research on detecting cyber-crime and artificial intelligence. He has received several best-paper awards for his research, which has been presented at international conferences. He is also amember of the Cybersecurity and Privacy Working Group for the Greater Washington Board of Trade in the Washington DC metro-area. He is engaged in applied research for the US military and is also collaborating with other universities in research on
mitigating supply chain risks using quantum cryptography and improving mobile edge computing in cloud-based services.
Before immigrating to the United States, he worked in IT-Leadership where he set-up IT infrastructure in Kampala International University and St Lawrence University. He received 3 Service Excellence Awards from the University Council of St Lawrence University in Kampala. He is married to an alumna of UMU, Kaboggozza Karen, with whom God has blessed them with three wonderful children. He holds a Ph.D in Information Technology (Information Security & Assurance – 2017) and another Masters in Information Security and Assurance (Advanced Cyber Security – 2014), both of George Mason University. His research focused on Detecting and Analyzing Cybercrime in Text-based Communication of Cyber-Criminal Networks through Computational Linguistic and Psycholinguistic Feature Modeling.