Accepting PhD Students

PhD projects

PhD Project Areas include Lange Language Models, Trustworthy AI, AI Safety Security, and Natural Language Processing and Mutimodal Applications (e.g., Information Retrieval, Classification, Question Answering, Text Summarisation, Dialog Systems). For more details, please email me a brief proposal within these areas.

Personal profile


Dr Farhana Ferdousi Liza has joined as a Lecturer in Computing Sciences at the University of East Anglia (UEA) in September 2021. Her primary research interests and expertise lie in Artificial Intelligence, Machine Learning, and Data Science. She has published articles including in the AAAI, EMNLP, and PLOS ONE. Before joining the UEA, she worked as a researcher at ESRC Business and Local Government Data Research Centre at the University of Essex where she worked with external stakeholders to add or improve a data science stack in their decision-making process and developed Continuing Professional Development (CPD) modules in Data Science for ESNEFT (one of the NHS Trusts). She also provided training to the UK public sector professionals including NHS and Police. Her PhD study was funded by the University of Kent's JILP Endowment Scholarship, and later she was awarded the Sciences Postgraduate Research Prize for excellent progress which was featured in the University of Kent’s blog post. She was selected for an internship at The Alan Turing Institute and later her collaborative research (with Turing fellows) on semantic profiling was featured in its blog post. She has five years of higher education teaching experience in the undergraduate and postgraduate programs in the UK, USA, and Bangladesh.  

Areas of Expertise

Data Science, Trustworthy Artificial Intelligence, Machine Learning, Natural Language Processing (NLP). Machine learning research includes analysis of deep learning models (e.g., language models), improving the robustness from adversarial attacks, and designing AI model evaluation techniques. NLP problems include representation learning, information extraction, text summarization, question answering.

For data science applications, she is interested in solving problems arising in healthcare (specifically mental healthcare), the public sector, and social media (e.g., fake news and fact checking). Her works include the incorporation of deep learning and natural language processing in computational social science.

Education/Academic qualification

Doctor of Philosophy, University of Kent

Award Date: 22 Jul 2020


  • AI & Robotics
  • Systemic AI safety
  • Safe Adaptation to Advanced AI
  • Large Language Models
  • Natural Language Processing
  • Digital Transformation

Media Expertise

  • AI
  • Security
  • Computing
  • Social Media
  • Education
  • Wellbeing at work

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or