Arunav is a PhD Researcher in the Department of Informatics. Arunav holds a MSc in Data Science (Distinction) from City University, London; MBA (Distinction) Warwick Business School and B.E. Metallurgical from NIT, India

Arunav’s research focuses on building multimodal question answering system over structured and unstructured data combining the advances in Knowledge Graphs, Large Language Models and NLP with an emphasis on data provenance and Responsible AI

Arunav is also part of Ethics Reading Group at King’s

Arunav has 26+ years of experience in Commercial and Corporate Banking across functional areas like IT, Operations, Risk, Product Management and Commercialization

Research Interests

• Distributed Artificial Intelligence
• Algorithms and Data Analysis
• Human Centered Computing

Thesis Title and Abstract

Multimodal Question Answering System based on Knowledge Graph, Generative AI and NLP: hybrid approach to combine the strengths of disparate models.

Whilst Large Language Models have continued to evolve to address a wide range of queries from general knowledge to software code, the accuracy and consistency of such models remain partly resolved. Ability to add Knowledge Graphs to LLMs would not only improve the consistency and accuracy of the outputs but would also increase the transparency and explainability of the combined models

PhD Supervision

Primary supervisor: Professor Elena Simperl

Secondary supervisor: Dr Albert Merono Penuela