Dr Georgina Cosma (BSc, PhD Computer Science)

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

Areas of interest: Intelligent & Neural Information Retrieval, Computational Intelligence & Machine Learning, Bias Management & Mitigation, Continual Lifelong Learning, Temporal Information Modelling.

I graduated from the University of Warwick with a PhD degree in Computer Science in 2008. My thesis was on Intelligent 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 currently hold a number of grants, and you can find more information about those here. These grants are funded by the NIHR, THF, KTP, industry funded grants.

In the past, I have held several grants as PI and Co-I. Most noteworthy, I held as Principal Investigator 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.).

Particularly enjoy working on NLP and Information Retrieval, and have plenty of experience working on large-scale NLP projects. In the past 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.