Anjali Thukral

About

Prof. (Dr.) Anjali Thukral is an associate professor in the Department of Computer Science at Keshav Mahavidyalaya, University of Delhi, India. She attained her PhD in computer science from Delhi University in 2013. With over 28 years of experience, she teaches undergraduate computer science courses and supervises PhD research scholars. She has numerous publications in international journals with high impact factors and conferences and has also authored book chapters. Her research interests focus on information retrieval, dark patterns, agentic AI, knowledge representation, and reasoning using ontology, knowledge graphs, and semantic web technologies, particularly in e-learning and disease diagnosis systems. Prof. Anjali Thukral has also held many administrative responsibilities during her teaching career, including serving as Bursar, NAAC Coordinator of the college, member of the committee for Undergraduate and Postgraduate Programs at the University of Delhi, and member of various academic and non-academic committees at the college and university levels. In addition to her expertise in computer science, she is a passionate yoga practitioner.

Employment

• Keshav Mahavidyalaya University of Delhi Professor
  1998 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• An Agentic AI system for disease diagnosis with explanations
  Informatics and Health 2026 DOI: 10.1016/j.infoh.2026.01.001
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• Multiple disease diagnoses using heterogeneous EHR curated knowledge graph and machine learning models
  Applied Intelligence 2025 DOI: 10.1007/s10489-024-05952-7
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• Ranking of motives for posting fake reviews
  Spanish Journal of Marketing Esic 2025 DOI: 10.1108/SJME-07-2024-0188
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• XLR-KGDD: leveraging LLM and RAG for knowledge graph-based explainable disease diagnosis using multimodal clinical information
  Knowledge and Information Systems 2025 DOI: 10.1007/S10115-025-02465-8
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• Aggregating, Summarizing and Restructuring News-Related Tweets into Compositions using Deep Learning
  Computing Open 2024 DOI: 10.1142/s2972370124500016
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• Impact of Clinical Features on Disease Diagnosis Using Knowledge Graph Embedding and Machine Learning: A Detailed Analysis
  2024 DOI: 10.1007/978-3-031-64070-4_21
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• Knowledge graph enrichment from clinical narratives using NLP, NER, and biomedical ontologies for healthcare applications
  International Journal of Information Technology 2023 DOI: 10.1007/s41870-022-01145-y
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• OHF: An Ontology Based Framework for Healthcare
  Artificial Intelligence and Speech Technology 2022 DOI: 10.1007/978-3-030-95711-7_28
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• Performing Sentiment Analysis on Twitter Data Using Deep Learning Models: A Comparative Study
  Advances in Data and Information Sciences 2022 DOI: 10.1007/978-981-16-5689-7_33
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• Semi-automatic ontology builder based on relation extraction from textual data
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-8237-5_33
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