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Dr. Aimee E. Mirto


Dr. Aimee E. Mirto

Dr. Aimee E. Mirto is a lecturer of Engineering and Computing and holds a PhD in Bioinformatics Cybersecurity, from the University of West London. She brings hands-on experience teaching computer science, data science, and cybersecurity. She has vast computer skills such as: coding (C++ / C#, R, Python, Anaconda, NVivo, Power BI and SQL). As well as research experience with machine learning analytics, data analytics, text mining, and machine learning algorithm analytics. Her field of expertise further extends, covering areas of computer science and cybersecurity on detecting and preventing cyberstalking indicative content on social media platforms like Twitter.  Dr. Mirto is also an expert in working with machine learning algorithms and the way programming constructs and develops raw data. One important contribution of her research is the Integrated Model of Abnormal Security Patterns on social media, using K-Means Clustering and KNN that indicated and detected cyberstalking indicative content.

Dr. Mirto prides herself on problem finding solutions that fit the students’ needs with the use of her critical thinking and listening skills. She strives to bring her education and experiences together whilst helping others around her bringing forth real-world skills.


Dr. Mirto’s research interests include computer science, AI (artificial intelligence), networking, social media analytics, cybersecurity, and cybercrime.

She has presented her work and attended/spoke at conferences.

Computer Systems (CTF3203) – This course consists of the fundamentals of computer systems and some important issues that must be considers when implementing them.

Advanced Databases and Big Data – (SWE5204) This module looks at key database driven technologies that are part of the architecture of commercial software applications and systems, looking at data warehousing, data mining, SOA (Service-Oriented Architectures), business intelligence, distributed databases, and cloud computing.