Kumar, Akshi. 2026. VEYA'S AI ADVENTURES Book 1: The Mystery of the Missing Stop. London: AK Writes. ISBN 9781036975081
Kumar, Akshi and Malini, Nair. 2026. Kiaan & Novi: Learning AI the Fun Way- Part 1. Malini Nair. ISBN 9789083657318
Kumar, Akshi. 2025. Language Intelligence: Expanding Frontiers in Natural Language Processing. IEEE-Wiley Press. ISBN 9781394297269
Edited Book
Kumar, Akshi and Sangwan, Saurabh Raj, eds. 2025. Transformative Natural Language Processing: Bridging Ambiguity in Healthcare, Legal, and Financial Applications. Cham, Switzerland: Springer. ISBN 9783031889875
Book Section
Kumar, Akshi; Chandrasekaran, Sanjith and Sangwan, Saurabh Raj. 2026. Emotional Anatomy of Fake News: Leveraging Sentiment and Explainable AI for Misinformation Detection. In: Arvind Sharma; Samiya Khan and Ashima Yadav, eds. Human-Centered Solutions through Human-Computer Interaction: From Healthcare to Smart Environments. Boca Raton, FL: CRC Press. ISBN 9781032908120
Kumar, Akshi and Sangwan, Saurabh Raj. 2025. Introduction to Natural Language Processing in High-Stakes Domains. In: Akshi Kumar and Saurabh Raj Sangwan, eds. Transformative Natural Language Processing: Bridging Ambiguity in Healthcare, Legal, and Financial Applications. Cham, Switzerland: Springer, pp. 1-22. ISBN 9783031889882
Sangwan, Saurabh Raj and Kumar, Akshi. 2025. Responsible and Ethical AI in Natural Language Processing. In: Akshi Kumar and Saurabh Raj Sangwan, eds. Transformative Natural Language Processing: Bridging Ambiguity in Healthcare, Legal, and Financial Applications. Cham, Switzerland: Springer, pp. 223-239. ISBN 9783031889882
Sharma, Aditi and Kumar, Akshi. 2025. NLP in Medicine: Enhancing Diagnostics and Patient Care. In: Akshi Kumar and Saurabh Raj Sangwan, eds. Transformative Natural Language Processing: Bridging Ambiguity in Healthcare, Legal, and Financial Applications. Cham, Switzerland: Springer, pp. 23-50. ISBN 9783031889882
Ranjan, Ravi; Sharma, Kapil and Kumar, Akshi. 2025. Introduction to NLP in Finance: Sentiment Analysis and Risk Management. In: Akshi Kumar and Saurabh Raj Sangwan, eds. Transformative Natural Language Processing: Bridging Ambiguity in Healthcare, Legal, and Financial Applications. Cham, Switzerland: Springer, pp. 75-100. ISBN 9783031889882
Article
Singh, Sangita; Singh, Jyoti Prakash; Deepak, Akshay and Kumar, Akshi. 2026. Enhancing Text Summarization with Diverse Regression Models and Node2Vec in Low-Resource Indian Languages. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, ISSN 2250-1762
Kumar, Akshi; Saurabh, Sangwan and Aditi, Sharma. 2026. SleepDepNet: A multi-task transformer model for assessing sleep quality and depression risk from social media narratives. PLOS Digital Health, 5(5), e0000859. ISSN 2767-3170
Kumar, Akshi and Sangwan, Saurabh Raj. 2026. The Evolution of Small Language Models in Healthcare: A Narrative-Evolutionary Literature Review. British Journal of Multidisciplinary and Advanced Studies, 7(2), pp. 1-30. ISSN 2517-276X
Kumar, Akshi; Sharma, Aditi and Sangwan, Saurabh Raj. 2025. DynaMentA: Dynamic Prompt Engineering and Weighted Transformer Architecture for Mental Health Classification using Social Media Data. IEEE Transactions on Computational Social Systems, 12(6), pp. 4193-4203. ISSN 2329-924X
Kumar, Akshi and Sangwan, Saurabh Raj. 2025. Natural Language Processing as Digital Veda (啶∴た啶溹た啶熰げ 啶掂啶�): A Humanistic Framework for Language, Ethics, and AI. Digital Scholarship in the Humanities, 40(4), pp. 1188-1202. ISSN 2055-7671
Kumar, Akshi; Sangwan, Saurabh Raj and Ravi, Suruthi. 2025. Insight-FakeNet: Explainable AI for Motive Analysis in News Dissemination and Youth Online Harm Mitigation. Journal of Engineering Science and Technology Review, 18(5), pp. 105-118. ISSN 1791-9320
Sagar, Pinki; Dwivedi, Upendra; Jain, Nitin; Jindal, Gaurav and Kumar, Akshi. 2025. Explainable Contrastive Learning Framework for EEG-Based Affective Computing in Privacy-Preserving Consumer Devices. IEEE Transactions on Consumer Electronics, 71(4), pp. 11935-11943. ISSN 0098-3063
Jain, Dipika; Sangwan, Saurabh Raj and Kumar, Akshi. 2025. Hyper-personalized employment in urban hubs: multimodal fusion architectures for personality-based job matching. Neural Computing and Applications, 37, pp. 23651-23666. ISSN 0941-0643
Chang, Po-Hsuan; Kumar, Akshi and Sangwan, Saurabh Raj. 2025. SENS-HEAD: A Machine Learning Framework for Sensationalism Detection in News Headlines Using Linguistic and Semantic Features. British Journal of Multidisciplinary and Advanced Studies, 6(3), ISSN 2517-276X
Sharma, Vikas; Kumar, Akshi and Sharma, Kapil. 2025. Next-Generation Healthcare: Digital Twin Technology and Monkeypox Skin Lesion Detector Network Enhancing Monkeypox Detection - Comparison with Pre-trained Models. Engineering Applications of Artificial Intelligence, 145, 110257. ISSN 0952-1976
Sharma, Vikas; Kumar, Akshi and Sharma, Kapil. 2025. Digital Twin: Securing IoT-Networks using integrated ECC with Blockchain for Healthcare Ecosystem. Knowledge and Information Systems, 67(3), pp. 2395-2426. ISSN 0219-1377
Kumar, Akshi; Malla, Jyothi and Sharma, Aditi. 2025. BioBERT-RxReadmit: Improving Hospital Readmission Predictions Through Clinical Text Analysis with BioBERT. International Journal on Engineering Artificial Intelligence Management, Decision Support, and Policies, 2(1), pp. 14-29. ISSN 3048-8788
Jain, Dipika and Kumar, Akshi. 2025. AI Unveiled Personalities: Profiling Optimistic and Pessimistic Attitudes in Hindi Dataset using Transformer-based Models. Experts System, 42(1), e13572. ISSN 0266-4720
Kumar, Akshi and Jain, Dipika. 2024. EmoMBTI-Net: introducing and leveraging a novel emoji dataset for personality profiling with large language models. Social Network Analysis and Mining, 14, 234. ISSN 1869-5450
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鈥檚 health: Cervical cancer diagnosis with CervixNet. Cognitive Systems Research, 87, 101264. ISSN 2214-4366
Kaur, Ravleen; Bhatia, MPS and Kumar, Akshi. 2024. Am I hurt?: Evaluating Psychological Pain Detection in Hindi Text using Transformer-based Models. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(8), 125. ISSN 2375-4699
Kumar, Akshi; Jain, Dipika and Beniwal, Rohit. 2024. HindiPersonalityNet: Personality Detection in Hindi Conversational Data using Deep Learning with Static Embedding. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(8), 117. ISSN 2375-4699
Kumar, Sanjay; Kumar, Akshi; Mallik, Abhishek and Singh, Rishi Ranjan. 2024. OptNet-Fake: Fake News Detection in Socio-cyber platforms using Grasshopper Optimization and Deep Neural Network. IEEE Transactions on Computational Social Systems, 11(4), pp. 4965-4974. ISSN 2329-924X
Kumar, Akshi; Mallik, Abhishek and Kumar, Sanjay. 2024. HumourHindiNet: Humour detection in Hindi web series using word embedding and convolutional neural network. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(7), 98. ISSN 2375-4699
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, 4(2), pp. 132-144. ISSN 2766-8649
Sharma, Aditi and Kumar, Akshi. 2024. DREAM: Deep Learning-Based Recognition of Emotions from Multiple Affective Modalities Using Consumer-Grade Body Sensors and Video Cameras. IEEE Transactions on Consumer Electronics, 70(1), pp. 1434-1442. ISSN 0098-3063
Kumar, Akshi; Jain, Deepak Kumar; Mallik, Abhishek and Kumar, Sanjay. 2024. Modified node2vec and attention based fusion framework for next POI recommendation. Information Fusion, 101, 101998. ISSN 1566-2535
Rani, Somiya; Jain, Amita; Kumar, Akshi and Yang, Guang. 2024. CCheXR-Attention: Clinical concept extraction and chest x-ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention. International Journal of Imaging Systems and Technology, 34(1), e23025. ISSN 0899-9457
Kumar, Akshi; Mallik, Abhishek and Kumar, Sanjay. 2024. TLP-NEGCN: Temporal Link Prediction via Network Embedding and Graph Convolutional Networks. IEEE Transactions on Computational Social Systems, 11(3), pp. 4454-4464. ISSN 2329-924X
Kumar, Akshi; Aggarwal, Nipun and Kumar, Sanjay. 2023. SIRA: A Model for Propagation and Rumor Control with Epidemic Spreading and Immunization for Healthcare 5.0. Soft Computing, 27(7), pp. 4307-4320. ISSN 1432-7643
Conference or Workshop Item
Kumar, Akshi; Thompson, Naomi and Woodger, David. 2027. 'Interpretable AI for Racial Harm and Platform Trust: A Mixed-Method Framework for Analysing Social Media Racism Narratives'. In: International Conference on Data Science and AI for Social Good and Responsible Innovation. London, United Kingdom 10 - 11 April 2026.
Kumar, Akshi. 2026. 'From Fabrication to Accountability: Augmented Intelligence in Generative AI Systems'. In: International Conference on Advancing Sustainable Solutions through Technologies (ICASST-2026). Gorakhpur, India 5 - 6 February 2026.
Kumar, Akshi. 2025. 'From Large to Small: The Rise of Small Language Models (SLMs) in Text Analytics'. In: Online Faculty Development Programme Text Analytics with Deep Learning. National Institute of Technology (NIT), Patna (Online), India 1 - 9 March 2025.
Kumar, Akshi. 2024. 'Generative AI and Information Fabrication: NLP Techniques for Truth and Trust'. In: Five-Day Workshop-FDP on Pioneering Advances in NLP and Generative AI. New Delhi (Online), India 11 December 2024.
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.
Professional Activity
Kumar, Akshi. 2024. Steering Group Member, Mayor of London鈥檚 Violence Reduction Unit Research into Online Harms.
Kumar, Akshi. 2024. Consultation Response: Ofcom鈥檚 three-year media literacy strategy.
Project
Kumar, Akshi. August 2023 - August 2024 NLP-Powered Job Matching for Blue-Collar Workers.
Report
Kumar, Akshi and Sangwan, Saurabh Raj. 2026. Relational Safety and Learner Agency in Educational AI. Technical Report.
Kumar, Akshi and Sangwan, Saurabh Raj. 2026. How Recommendation Systems Amplify Harm: The AMPH Framework (Amplification Mechanisms of Platform Harms) for understanding amplification mechanisms in recommendation systems. Technical Report. 91影视破解版, London.
Kumar, Akshi and Sangwan, Saurabh Raj. 2026. Conversational AI and Relational Agency in Child-Accessible Systems (CARACAS): A Structured Comparative Interaction Evaluation. Technical Report.
Kumar, Akshi. 2025. Written Evidence to the Public Accounts Committee (Commons Select Committee) Inquiry on Reducing NHS waiting times for elective care. Technical Report. UK Parliament, London.
Kumar, Akshi. 2025. Written Evidence to the Women and Equalities Committee (Commons Select Committee) Inquiry on Misogyny: the manosphere and online content. Technical Report. UK Parliament, London.
Kumar, Akshi. 2025. Written Evidence to the Science, Innovation and Technology Committee Inquiry on Social media, misinformation and harmful algorithms. Technical Report. UK Parliament, London.
Kumar, Akshi. 2024. 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. 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.
Other
Kumar, Akshi. 2025. UK Parliament POSTnote Contribution: AI and Mental Healthcare: Opportunities and Delivery Considerations. Parliamentary Office of Science and Technology (POST), London.
Kumar, Akshi. 2025. UK Parliament POSTnote Contribution: AI and Mental Healthcare: Ethical and Regulatory Considerations. Parliamentary Office of Science and Technology (POST), London.
