Dr Georgina Cosma

Senior lecturer at the Department of Computer Science, Loughborough University, UK.

Areas of interest: Natural language & image processing for Information Retrieval [Intelligent Information Retrieval, Computational Intelligence and Machine & Deep Learning]

I graduated from the University of Warwick with a PhD degree in Computer Science in 2008. My thesis title was on Information Retrieval and applying Latent Semantic Analysis for source-code similarity detection.

Since then, I have worked in universities, UK and abroad, as a lecturer and researcher. I have worked as a part-time lecturer and researcher at Coventry University and the University of Warwick; and was also employed as a senior lecturer and acting Head of Department at P.A. University College in Larnaca, Cyprus. Prior to that I was Associate Professor of Data Science and Artificial Intelligence at the School of Science and Technology, Nottingham Trent University, U.K (See my LinkedIn for more information).

I am Senior Lecturer (Associate Professor) specialising in Data Science and A.I at the Department of Computer Science, Loughborough University, U.K. I am teaching the Data Mining module that is a compulsory module of MSc in Artificial Intelligence; and the Big Data and A.I module that is part of MSc in Data Science course for which I am Programme Director. Currently supervising three PhD students working on AI, machine vision, NLP & image processing projects, and clinical data analytics. I am recruiting self-funded (or sponsored) on the topics of Natural Language & Image processing for Information Retrieval. For PhD project ideas click here (which aim to be a starting point for discussion).

I am a passionate and active researcher driving various data science projects. I am truly fascinated about working on data for solving real-life problems which can achieve social good, and particularly interested in cancer predictive modelling. I have a strong collaboration with the John van Geest Cancer Research Centre where we develop cancer prediction models which can predict prostate cancer more accurately than tests which are currently used in clinical practice.

I was the Principal Investigator of a 3-year Leverhulme project grant entitled “Novel Approaches for Constructing Optimised Multimodal Data Spaces” (Oct 2016-Oct 2019). The outputs of the project focus on the development of new Deep Learning algorithms for classifying data (images, video, text, etc.).

I am working on projects with colleagues from various disciplines, and with industrial partners, and have experience in leading and delivering data science and AI projects with companies. For example in the last couple of years, I led the development of: an information retrieval system (developed Natural Language Processing methods) for CareIS Ltd; a large data classification system for Laser Optical Engineering Ltd (developed clustering and classification machine learning methods); and a biometrics system for Secure Socialising Ltd.

I have also delivered a research/consultancy project for the Government Equality Office (GEO), where I led a work-package on the design and development of advanced Natural Language Processing (NLP) algorithms for analysing large and noisy textual data collected from a large-scale national survey.

I’m a member of IEEE Computer Society, IEEE Computational Intelligence Society, and several IEEE communities including the Big Data Community, Cloud Computing Community, and Internet of Things Community; and member of the BCS-IRSG (Information Retrieval Specialist Group), and ACM-SIGIR (Special Interest Group in Information Retrieval).

I am an active council panel member for EPSRC, and an active reviewer for EPSRC, ESRC, BBSRC, MRC, CRUK, The Leverhulme Trust, and STFC.

I am the proud owner of a beautiful cat, called Tami. She keeps me company when working from home, and particularly likes to relax behind the laptop.