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Alex Mbaziira

Natural Language Processing (NLP) Detecting Cybercrime Malware Analysis Cyber Forensics Applied Machine Learning
Marymount University Computer Science

About

Alex is an assistant professor for cybersecurity at Marymount University where he teaches undergraduate, graduate, and doctoral courses. While at George Mason University, he was a Fulbright scholar where he published research on detecting cybercrime using machine learning and natural language processing. He is also a member of the cybersecurity and privacy working group for the Greater Washington Board of Trade. He presents and publishes peer-reviewed research in cybercrime, malware analysis, cyber forensics, privacy, and applied machine learning. He is also a member of professional organizations like IEEE.

Research Performance Summary

28
Total Papers
376
Total Citations
8
H-Index
2014-2025
Active Research Span

First Recorded Paper

Constructing and analyzing criminal networks

Year: 2014

Citations: 94

Venue: 2014 IEEE security and privacy workshops

Latest Recorded Paper

A Proof-of-Concept for Implementing Automated Cloud Deployments of Red Team Infrastructure

Year: 2025

Citations: 0

Venue: CCSC Conference

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
5
2024
1
2023
4
2022
3
2021
2
2020
1
2019
3
2018
2
2017
3
2016
1
2015
2

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 16
Journal 3
Book 1

Top Coauthors

Mbaziira Jones Sabir

Research Impact by Period

2025-2026

Period Stats
Papers 5
Citations 1
Avg. Citations / Paper 0.2
H-Index 1

2020-2024

Period Stats
Papers 11
Citations 32
Avg. Citations / Paper 2.9
H-Index 4

2015-2019

Period Stats
Papers 11
Citations 249
Avg. Citations / Paper 22.6
H-Index 6

2010-2014

Period Stats
Papers 1
Citations 94
Avg. Citations / Paper 94
H-Index 1

Contact and Professional Links

Contact Information

alex.mbaziira@marymount.edu

Detected Research Keywords

Best Paper Presentation Paper Presentation Award Stealthy Watermarks Files Lying Trolls Detecting Trolls Detecting Deception