I am a Lecturer in Data Science at the Department of Computer Science in the Faculty of Engineering, Computing and the Environment. I hold a PhD in Computer Science from Kingston University (KU). My teaching duties are mainly dedicated to "Applied Data programming" Module for the MSc in Data Science course and "Machine Learning with Python" Module for final Year BSc in Computer Science. In addition, I supervise MSc Dissertations (MSc in Data Science) and BSc Final year Projects (BSc in Computer Science). Before I joined Kingston University in June 2022, I had been teaching undergraduate and postgraduate Computer Science modules related mainly to Computer Programming, Design and Analysis of Algorithms (Time Complexity), and Artificial Intelligence for about 13 years in Lebanon.
I am planning - through my role in the 'booming' KU's MSc in Data Science course - to (1) deliver to the workplace 'ready-to-employ' Data Scientists having in-depth practical knowledge in the state-of-the-art techniques and tools, and (2) to widespread the very useful applications of Data Science in the local, national and international communities to include some SME that are still 'out-of-the-circle'.
On the research side, I have an extensive experience in Computational Biology, in particular, Protein Structure Prediction (PSP), Estimation of model accuracy (EMA) - previously known as Model Quality Assessment (MQA) - and Structural Alphabets. Blockchains are considered my recent research interests; I am trying to expand their area of applications beyond Cryptocurrencies. Also, one of my aims is to apply Bio-inspired algorithms and paradigms to some aspects of Data Science and Blockchains.
I am a reviewer at PLoS ONE, PLoS Computational Biology and PLoS Digital Health and a member of the Biochemical Society and the Institute of Electrical and Electronic Engineers (IEEE).
Lecturer in Data Science
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