Main menu
Staff & students

Dr Akshi Kumar

Staff details

Dr Akshi Kumar

Position

Senior Lecturer

Department

Computing

Email

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 Talent 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 2024, 2023, 2022 and 2021. I've successfully guided 9 doctorates and 39 Master theses. Serving as an Associate and Guest Editor for impactful journals, my research encompasses Social media & Network analytics, Natural Language Processing (NLP), Affective Computing, 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, Depression, Anxiety)
  • 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)

    • Featured publications

    2023: Modified node2vec and attention based fusion framework for next POI recommendation
    Information Fusion, Elsevier, Volume 101, 2024, 101998

    2023: SIRA: A Model for Propagation and Rumor Control with Epidemic Spreading and Immunization for Healthcare 5.0
    Soft Computing, A Fusion of Foundations, Methodologies and Applications, Springer

    2023: Personality Detection using Kernel-based Ensemble Model for leveraging Social Psychology in Online Networks
    ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP)

    2021: Hierarchical Deep Neural Network for Mental Stress State Detection using IoT based Biomarkers
    Pattern Recognition Letters, Elsevier, Vol.145, pp. 81-87

    2020: Hybrid Context Enriched Deep Learning Model for Fine-grained Sentiment Analysis in Textual and Visual Semiotic Modality Social Data
    Information Processing and Management, Elsevier, Vol. 57, No. 1, 102141

    Publications and research outputs

    Article

    Sharma, Vikas; Kumar, Akshi and Sharma, Kapil. 2024. Digital Twin: Securing IoT-Networks using integrated ECC with Blockchain for Healthcare Ecosystem. Knowledge and Information Systems, ISSN 0219-1377

    Kumar, Sanjay; Chauhan, Anshuman Raj; Akhil; Kumar, Akshi and Yang, Guang. 2024. Resp-BoostNet: Mental Stress Detection from Biomarkers Measurable by Smartwatches using Boosting Neural Network Technique. IEEE Access, 12, pp. 149861-149874. ISSN 2169-3536

    Sharma, Vikas; Kumar, Akshi and Sharma, Kapil. 2024. Digital twin application in women’s health: Cervical cancer diagnosis with CervixNet. Cognitive Systems Research, 87, 101264. ISSN 2214-4366

    Conference or Workshop Item

    Kumar, Akshi. 2024. 'Transforming Society with Natural Language Processing: The Power of Language Technology in Social Impact'. In: InCACCT-2024: 2nd International Conference on Advancement in Computation & Computer Technologies. Chandigarh, India 2 - 3 May 2024.

    Sharma, Vikas; Sharma, Kapil and Kumar, Akshi. 2024. 'AI and Digital Twins Transforming Healthcare IoT'. In: 14th International Conference on Cloud Computing, Data Science & Engineering. Noida, India 18 - 19 January 2024.

    Digital

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

    Project

    Kumar, Akshi. August 2023 - August 2024 NLP-Powered Job Matching for Blue-Collar Workers.

    Report

    Kumar, Akshi. 2024. Submission of Written Evidence to the House of Commons Public Accounts Committee inquiry on Use of artificial intelligence in government. Technical Report. UK Parliament, London.

    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.

    Professional projects

    NLP-Powered Job Matching for Blue-Collar Workers (2023-2024)
    Research Consultant | Funded by Hirers (hirers.co.in)
    • Spearheaded the research and implementation of a Natural Language Processing (NLP)-driven solution to enhance job matching for blue-collar workers.
    • Developed and refined NLP algorithms to improve the accuracy and speed of matching job descriptions with candidate profiles.
    • Applied techniques such as aspect-based sentiment analysis and intent detection to enhance the semantic understanding of job postings and resumes.
    • Provided consultancy for platform design improvements that increased user engagement through customized job recommendations and enhanced communication tools.
    • Delivered comprehensive reports on the integration of fine-grained sentiment analysis and emotion detection for optimizing platform performance and user experience.

    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

    Highlights

  • 2023-2024: Published three written evidence on news integrity and cyber resilience in UK Parliament (House of Lords and House of Commons), impacting research in technology, AI, and cyber safety.
  • Endorsed by the Royal Academy of Engineering, United Kingdom as an Exceptional Talent in the field of Artificial Intelligence/Data Science in 2022.
  • Published 105 peer-reviewed journal papers, 69 conference papers with 5 best paper awards and 2 patents published with Indian Patent Office.
  • Certification in Ethics in AI from London School of Economics and Political Science (LSE), UK
  • Successful PGR guidance: 9 PhD (degree awarded) and 39 Master thesis.
  • 13 research awards, “Commendable Research Award for Excellence in Research” at NSUT, India in 2024, 2023; “Premier Research Award for Excellence in Research” at DTU, India in 2024, 2022; “Commendable Research Award for Excellence in Research” at DTU, India in 2019, 2020, 2021, 2022, 2023, 2024 “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 350+ citations
  • 25 Keynote/Guest lectures, 11 conference session chair, 17 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.