Dr Akshi Kumar

Staff details

Dr Akshi Kumar


Senior Lecturer




Akshi.Kumar (@gold.ac.uk)

Akshi has distinct expertise in NLP, affective computing, cyber-informatics, and AI-driven healthcare.

I'm currently a Senior Lecturer (Associate Professor) and Director-Post graduate Research (PGR) in the Department of Computing at Goldsmiths, University of London, UK. My academic path spans from a Doctorate in the domain of Web Mining at the University of Delhi, India to a post-doctoral on Explainable AI for NLP from Brazil. I've held pivotal positions at Manchester Metropolitan University, UK as well as at NSUT and DTU in New Delhi, India. Recognized as an "Exceptional Promise in AI and Data Science" by the Royal Academy of Engineering, UK in 2022, I've received international accolades, including being named in Stanford's "Top 2% Scientist" list in 2021 and 2022. I've successfully guided 6 doctorates and 33 Master theses. Serving as an Associate and Guest Editor for impactful journals, my research encompasses Affective Computing, Social media & Network analytics, Natural Language Processing (NLP), and AI-driven healthcare.

Academic qualifications

  • PhD (Computer Science & Engineering)-Web Mining, University of Delhi, India 2011
  • MTech (Computer Science & Engineering), GGSIPU, Delhi, India 2005
  • BE (Computer Science & Engineering), MDU, Rohtak, India 2003

Research interests

I am involved in research projects, and high impact publications within 8 primary domains:
• Sentiment Analysis (Sentiment, Sarcasm)
• Affective Computing (Emotion, Mood, Psychological State)
• Psychometric NLP (Personality, Behaviour)
• Cyber-informatics (Fake news, Rumour, Deepfake, Hate-speech, Cyberbullying, Applied
Network Science)
• Multimodality (Speech, Text, Visual, Bio-signals)
• Conversational Data (Dialogues, Speakers)
• Code-mixed, Code-switched and Low-Resource Language Processing (English +Hindi)
• Computational Health Informatics (Disease Prediction, Pain Detection)

Publications and research outputs


Jain, Dipika; Beniwal, Rohit and Kumar, Akshi. 2024. Advancements in Personality Detection: Unleashing the Power of Transformer-Based Models and Deep Learning with Static Embeddings on English Personality Quotes. International Journal of All Research Education & Scientific Methods, 12(4), pp. 2235-2251. ISSN 2455-6211

Kumar, Akshi and Sangwan, Saurabh Raj. 2024. Conceptualizing AI Literacy: Educational and Policy Initiatives for a Future-Ready Society. International Journal of All Research Education & Scientific Methods, 12(4), pp. 1543-1551. ISSN 2455-6211

Kumar, Akshi; Seewal, Rahul; Jain, Dipika and Kaur, Ravleen. 2024. Framework for Personalized Chronic Pain Management: Harnessing AI and Personality Insights for Effective Care. Journal of Artificial Intelligence and Technology, ISSN 2766-8649


Kumar, Akshi. 2024. Opportunities and Risks of using social media data to intervene and prevent youth violence.


Kumar, Akshi. 2024. Submission of Written Evidence to the House of Lords Communications and Digital Committee Inquiry on The Future of News: Impartiality, Trust, and Technology. Technical Report. UK Parliament, London.

Kumar, Akshi. 2023. Guarding the UK's Critical Infrastructure: The Rumour Challenge in Cyber Resilience. Other. UK Parliament, London.

Conferences and talks

2023: ‘Enabling Natural Communication in the Social Metaverse: Role of Natural Language Processing’
Keynote Speaker, 6th International Conference on Web Services Computing–Social Metaverse Summit, 26th May, 2023 at SCMS COCHIN Campus, India

2023: 'Opportunities and Threats of Generative AI in medicine, science, and academic publishing’
Keynote Speaker, International Conference on Advancement in Computation & Computer Technologies, Chandigarh University, India, May 5-6, 2023


  • Certification in Ethics in AI from London School of Economics and Political Science (LSE), UK
  • Post-doc from the Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil.
  • Successful PGR guidance: 6 PhD (degree awarded), 1 PhD (Thesis submitted) and 33 Master thesis.
  • 9 research awards, “Commendable Research Award for Excellence in Research” at NSUT, India in 2023; “Premier Research Award for Excellence in Research” at DTU, India in 2022; “Commendable Research Award for Excellence in Research” at DTU, India in 2019, 2020, 2021, 2022, 2023 “Best Researcher Award-Computer Science” in Universal Innovators Leadership Awards (UILA -2022) and the "VIWA Outstanding Women in Engineering (Computer Science & Engineering)" in 2020.
  • PhD dissertation in the field of Web Mining mentioned in one of the USA’s leading sources on latest research news (VerticalNews).
  • Pioneer study on computational natural language processing, “Sentiment Analysis on Twitter”, published in 2012 remains one of the benchmarks in the domain with 300+ citations
  • 15 Keynote/Guest lectures, 10 conference session chair, 16 guest editor (13 SCIE) roles
  • Monograph Book on Web Technology: Theory and Practice, Taylor & Francis, CRC Press, 2018 (12 Chapters, 219 pages). It is ‘recommended’ on the Scholars Archive of the University at Albany, State University of New York.