Dr Shereen Fouad

Shereen has a PhD (2010–13) in the field of Machine Learning from the School of Computer Science at the University of Birmingham. Shereen’s PhD thesis developed novel Machine Learning algorithms for learning using privileged information in prototype based models, based on metric learning techniques. The proposed frameworks were all based on mathematical and algorithmic theories.

Shereen also holds a BSc and MSc in Information Systems from the School of Computer and Information Sciences, Ain Shams University, Egypt. Shereen’s current research interest is primarily in the field of Machine Learning and Medical Imaging Analysis.

Shereen is currently working as a Computer Science Lecturer in the Faculty of Computing, Engineering and the Built Environment. Shereen teaches the CMP4272 Data Structures and Algorithms module and also works as a support academic in a Knowledge Transfer Partnership project (Kadfire), providing specific expertise in machine learning and artificial intelligence. In addition, Shereen is an Honorary Research Fellow in the Institute of Clinical Sciences at the University of Birmingham.

From 2015 to 2017, Shereen worked as a Research Fellow in an EPSRC research project (Novel context-based segmentation algorithms for intelligent microscopy) in the Institute of Clinical Sciences, University of Birmingham. The project looked at developing novel computational approaches for processing, understanding and quantifying histological information in digitised pathology images. The accurate interpretation of such information improves the detection, diagnosis, and prognosis of cancer diseases in digital microscopy. Shereen’s role was to advance the computer-assisted analysis and diagnosis of cancer by means of Computer Vision and Machine Learning techniques. This involves developing computational image analysis procedures particularly tailored to manipulate and analyse microscopic imagining data, as well as novel intelligent algorithms that automatically detect patterns in images that correspond to histological models.

In 2013/14, Shereen worked as a Research Fellow in Machine Learning on a collaborative pilot project in the school of Computer Science at the University of Birmingham. The project aimed to develop Machine Learning approaches for mining complex high dimensional brain imaging data (FMRI) as well as complex behavioural and cognitive data. Shereen has a wide experience and great interest in teaching. Shereen worked as a Lecturer Assistant from 2004 to 2010 in two large academic computer science institutes in Cairo (Ain Shams University and German University in Cairo). During this period, Shereen taught undergraduate students in a wide range of modules. In the 2014/15 academic year, Shereen worked as a Teaching Fellow in the School of Computer Sciences at the University of Birmingham, for undergraduate and postgraduate levels. Shereen took the lead of two modules and a shared lead of two other modules. In addition, Shereen worked as a Java class tutor for first year students.

Shereen’s research journey has expanded Shereen’s knowledge and expertise in many computer science areas including Machine Learning, Image Processing, Databases and Software Design/Development. Shereen is committed to publishing high quality research.

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