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Durham University

Computer Science

Profile

Professor Alexandra Cristea, FBCS, FHEA, SMIEEE

Personal web page

Professor of Computer Science in the Department of Computer Science
Telephone: +44 (0) 191 33 42761
Room number: E291

(email at alexandra.i.cristea@durham.ac.uk)

Bio

Alexandra I. Cristea is Professor, Head of the Innovative Computing research group at the Computer Science Department, Durham University. Her research includes web science, learning analytics, user modelling and personalisation, semantic web, social web, authoring, with over 250 papers on these subjects (over 3700 citations on Google Scholar, h-index 31). Especially, her work on frameworks for adaptive systems has influenced many researchers and is highly cited (with the top paper with over 180 citations and growing). She is within the top 50 researchers in the world in the area of educational computer-based research according to Microsoft Research. Prof. Cristea has been highly active and has an influential role in international research projects. She is experienced in running research projects and has led various projects - Newton funded workshop on Higher Education for All ('14-'18), Santander funded Education for disadvantaged pupils ('14-18'), Warwick-funded project APLIC ('11-;12), EU Minerva projects ALS (06-09) and EU Minerva ADAPT (’02-’05); as well as participated as university PI in several EU FP7 projects - BLOGFOREVER (’11-’13), GRAPPLE (’08- ’11), PROLEARN (’07) and as co-PI in the Warwick-funded Engaging Young People with Assistance Technologies (’13-’15) also featured by the BBC. Recently she has taken giving back to the community to a different level, with the project TechUP (2019-2020) training 100 women in computer science from various (BAME) backgrounds. She has been keynote/invited speaker, organiser, co-organizer, panelist and program committee member of various conferences in her research field (including, for example, ITS, AIED, UMAP, ED-MEDIA, Hypertext, Adaptive Hypermedia, ICCE, ICAI). She is a member of the editorial board of the IEEE Transactions on Learning Technologies, executive peer reviewer of the IEEE LTTF Education Technology and Society Journal and she was co-editor of the Advanced Technologies and Learning Journal. She acted as UNESCO expert for adaptive web-based education at a high-level (Ministry of Education and Educational institutes) meeting of East European countries, educational invited expert for the Romanian prime minister, as well as EU expert for H2020, FP7, FP6, eContentPlus. She has interacted with various international and local media (she has given a recent live radio interview to Power 106FM in Jamaica; work from her lab has been publicised by Free Radio Coventry & Warwickshire, Birmingham Post, Birmingham Mail, phys.org, The Daily Dot, Mirror, Vice Motherboard, BBC News, Pinterest, Globenewswire, Romanian TV). She is a BCS fellow, a HEA fellow, IEEE Senior Member and IEEE CS member, EATEL (European Association of Technology Enhanced Learning) founding member, ACM member.

Fully-funded PhD Scholarship in Deep Learning, Data Analytics, Natural Language Processing, Artificial Intelligence

Closing date for applications: 31st of August 2019

Funding period: 1/10/19 – 30/09/22

A unique opportunity of an industrial-collaboration fully funded UK/EU PhD scholarship at the prestigious Durham University (world-wide top 79th by QS World University rankings and 5th in the UK by the Guardian) is offered by the ‘Intensive Industrial Innovation Programme’ and Distinctive Publishing Ltd, Newcastle.  Read more here.

IoC TechUP Project

100 (BAME) women will have the chance to be retrained in IT. The main page of the TechUP project is here.

Publications

Research Groups

  • Innovative Computing

Research Interests

  • Adaptive, personalised web
  • Applied AI
  • Learner Analytics Data Analytics
  • Semantic Web
  • Social Web
  • User Modelling
  • Web Science

Selected Publications

Journal Article

Chapter in book

Conference Paper

Show all publications

Media Contacts

Available for media contact about:

  • Computer Science: Web Science
  • Computer Science: Learner Analytics
  • Education: Learner Analytics

Supervises