Dr Georgina Cosma

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

Areas of interest: Cross-modal and multi-modal Information Retrieval [Intelligent and Neural 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 Natural Language Processing (NLP) 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 courses (FT and PT) for which I am Programme Director. Currently supervising a team of PhD students working on neural information retrieval and other AI projects. I am recruiting self-funded (or sponsored) on the topics of Neural Information Retrieval. For PhD project ideas click here (which aim to be a starting point for discussion).

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.).

In the last few years, I led funded projects which focused on developing: an information retrieval system (developed Natural Language Processing methods for Information Retrieval) 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. Currently collaborating with Cundall on MSc AI projects, and with Railston’s & Co ltd on MSc and PhD projects.

Particularly enjoy working on NLP and Information Retrieval, and have plenty of experience working on large-scale NLP projects. I have 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. That also included the development of NLP algorithms for identifying and modelling topics (and subtopics) in the survey data; and for identifying similar and identical responses.

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.