My long term research goals are focused on investigating methods of incorporating high-level cognitive capabilities into models. In the short and medium term, my research is focused on the infusion of world knowledge and common sense into pre-trained language models (e.g.



I teach Machine learning (CM20315) at the University of Bath. I am a Fellow of the Higher Education Academy (HEA)




Prior to starting my PhD, I co-founded and ran Webfluenz, a product based social media marketing company, for six years. Webfluenz started as a three person operation out of a small terrace in India. ...


Harish completed his PhD in Question Answering from the University of Birmingham in 2019 and began his current post as Lecturer in Artificial Intelligence at the University of Bath in 2022. In the interim, he has worked on research related to MWEs, Construction Grammar and language modelling and was the principal organiser of the SemEval 2022 Task on MWEs.


Research Highlights

Four Available PhD Studentships (Fully Funded)

I have funding (full fee waiver and stipend) for four PhDs in Natural Language Processing at the University of Bath. Three of these studentships are available international students.

The Natural Language Processing group at the University of Bath is a rapidly growing group focused on researching methods of explaining the decisions made by deep learning systems, in particular pre-trained language models.

The three international studentships are offered through the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) and so including a year of training in Artificial Intelligence and Machine Learning before the start of the research period.

Available Projects

Eligible and highly motivated students are strongly encouraged to get in touch: htm43 AT

Neuro-Symbolic Artificial Intelligence for Efficient and Interpretable Natural Language Understanding
This project focuses on the area which spans the intersection of neural and symbolic AI: a fast growing and increasingly important field known as neuro-symbolic artificial intelligence 

Explainable Natural Language Processing for the Analysis of Online Discourse
This project focuses on the generation of explanations for model outputs with applications primarily in, but not limited to, social media data.

Explainability in Multimodal Deep Learning: Transparent Fusion of Text and Images
This project is aimed at the development of multimodal models which fuse information from images and text. Additionally, this project lays emphasis on the need for explainability in such models, a relatively recent avenue of research