Dr Akshi Kumar
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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)
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
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