Skip to content

Dr Kulvinder Panesar

Lecturer-Applied Artificial Intelligence

Faculty/Dept/School Department of Media, Design and Technology
(Faculty of Engineering and Informatics)
Telephone +441274 233133


Dr Kulvinder Panesar has been appointed as Lecturer to strengthen the Applied Artificial Intelli­gence programme team and related teaching and research activities.

Kulvinder worked previously as a Senior Lecturer in Computer Science at York St University.  She has been an academic for over twenty years, and a strategically focused senior computing professional wearing different hats including programmer, research scientist, computational linguistic, software and website developer, database designer and developer, systems analyst, project manager and technical consultant.    

Her PhD was titled ‘a linguistically centred text-based conversational software Agent’.  Her research interest is NLP (Natural Language Processing) in AI (Artificial Intelligence), meaning and knowledge representation (KR), conversational software agents (CSAs) and more recently conversational AI. 

Her teaching interests are in the branches of AI more  specifically NLP (statistical and linguistic - (semantic)), computer vision (object detection), data mining, analytics (databases to AI), intelligent agents and knowledge representation and reasoning.  

Kulvinder is a MBCS member of the British Computer Society. STEM ambassador,  and an AI ambassador for AI Tech North and WeAreTechWomen100 - 2019 winner listed  awarded by J P Morgan.  


Dr Kulvinder's  research interest is Natural Language Processing (NLP) in AI (Artificial Intelligence), and meaning and knowledge representation (KR) in conversational software agents (CSAs) and conversational AI.    

This research area is multi-disciplinary spanning AI, data science, agent thinking, linguistics, computational linguistics, NLP, KR, and the Semantic Web.  She has conceptually designed and developed  a linguistically text based conversational software agent (LING-CSA) framework, addressing the integration, intersection, and interface of language, knowledge, and speech act constructions (SAC).  LING-CSA is a Java based prototype developed in Eclipse. 

Her research contributions included: (i) extending the theoretical and computational adequacy of the linguistic theory - Role and Reference Grammar (RRG); (ii) integrating the RRG language model  with concept of speech act constructions (SAC) as the linguistic engine; (iii) motivating an agent framework  intersecting with the  linguistic engine,  an agent cognitive and dialogue model to facilitate conversation implemented as a proof-of-concept; (4) insights into the language/knowledge representation interface.

Current research interest involves demystifying statistical vs lingustic NLP for conversational software agents, with the goal to investigating linguistic NLP with statistical  NLP learning and support – for s  forward-thinking  hybrid approach to conversational AI.  To explore and apply this research the healthcare domain is selected. Here the focus on language and cognition in mild cognitive impairment and patients living with dementia is to be explored based on a   language phenomenon  and further explored for  automation as an intervention embeded into a  conversational agent with automatic speech recognition. 


Teaching interests

Teaching related:

  1. AI  Project Design and Development
  2. Machine Learning Methods and Models
  3. Data Science for AI
  4. Discipline-specific AI Project
  5. The Applied AI Professional
  6. Industrial AI Project

Research related: 

  1. Natural Language Processing (NLP) in AI 
  2. Conversational AI
  3. Intelligent Agents
  4. Conversational Software Agent Development
  5. Computational Linguistics
  6. Knowledge Representation and Reasoning (KRR)

Professional activities

  • 01-JAN-19: - We Are Tech Women Winner List 2019


Peer Reviewed Journal
TitleConversational artificial intelligence - demystifying statistical vs linguistic NLP solutions (2020)
AuthorsPanesar, K
JournalJournal of Computer-Assisted Linguistic Research
PublisherUniversitat Politécnica de Valéncia
TitleAn Evaluation of a Linguistically Motivated Conversational Software Agent Framework (2019)
AuthorsPanesar, K
JournalJournal of Computer-Assisted Linguistic Research
Book Chapters
TitleNatural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective (2020)
AuthorsPanesar, K
JournalThe Age of Artificial Intelligence: An Exploration
PublisherVernon Press
TitleFunctional Linguistic Based Motivations For A Conversational Software Agent (2018)
AuthorsPanesar, K
JournalPerspectives on the construction of meaning and knowledge: The linguistic, pragmatic, ontological and computational dimensions
PublisherCambridge Scholars Publishing
Conference Contributions
TitleTitle: New extended Computer Science curriculum model: USE-VQP-VCP (University, Students and Employers – Vendor Qualification Providers – Value Chain Partnership) (2019)
AuthorsPanesar, K
TitleMotivating a linguistically orientated model for a conversational software agent (2018)
AuthorsPanesar, K
Title‘How can one evaluate a conversational software agent framework’? Conference Presentation 1 and Book of Abstracts. (2018)
AuthorsPanesar, K