Dr. Kulvinder Panesar,Assistant Professor
Information about Dr. Kulvinder Panesar at the University of Bradford.
- School of CSAI&E
(Faculty of Eng & Digital Technologies) - Email:
- k.panesar@bradford.ac.uk
- Telephone:
- +44 1274 233133
Biography
DrKulvinder Panesar was initially appointed as Lecturer to strengthenthe Applied Artificial Intelligence programme team and related teaching andresearch activities. In August 2022, she was appointed to Assistant Professor of Applied Artificial Intelligence and has been involved in Natural Language Processing (NLP) Data Scientist related activities.Her teaching interests are in the branches of AI more specifically NLP (statistical and linguistic - (semantic)), AI project design and development with project management, computer vision (object detection), data mining, analytics (databases to AI), multidisciplinary issues, innovations and ethics, intelligent agents, knowledge representation and employability/placement input.
She has other roles such as Programme Lead of BSc (Hons) Applied AI, and Outreach, Marketingand Placement Lead of the Department of Media Design and Technology and academic reviewer. She is also involved in cross faculty research projects and external university collaborativeprojects. Her current research project is motivated by the grand challenges of healthcare, with the pre-screening of dementia via an intervention in the form of a conversational agent hybridisation solution with a person-centred design with a submitted application (ongoing review) with UKRI (EPRSC).
Kulvinder workedpreviously as a Senior Lecturer in Computer Science at York St University. She has been an academic for over twentyyears, and a strategically focused senior computing professional wearing differenthats including programmer, research scientist, computational linguistic, softwareand website developer, database designer and developer, systems analyst,project manager and technical consultant.
Her PhD was titled ‘a linguisticallycentred text-based conversational software Agent’. Her research interest is NLP(Natural Language Processing) in AI (Artificial Intelligence), meaning andknowledge representation (KR), conversational software agents (CSAs) and more recently conversationalAI.
Kulvinder is a MBCS member of the British Computer Society. STEM ambassador, and an AI ambassador and Ethics Adviser for AI Tech North and WeAreTechWomen100 - 2019 winner listed awarded by J P Morgan.
Research
Dr Kulvinder's researchinterest is Natural Language Processing (NLP) in AI (Artificial Intelligence),and meaning and knowledge representation (KR) in conversational software agents(CSAs) and conversational AI.Thisresearch area is multi-disciplinary spanning AI, datascience, agent thinking, linguistics, computational linguistics, NLP, KR, andthe Semantic Web. She has conceptually designed and developed a linguistically text based conversationalsoftware 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 developedin Eclipse.
Her research contributionsincluded: (i) extending the theoretical and computational adequacy of thelinguistic theory - Role and Reference Grammar (RRG); (ii) integrating the RRGlanguage model with concept of speechact constructions (SAC) as the linguistic engine; (iii) motivating an agentframework intersecting with the linguistic engine, an agent cognitive and dialogue model tofacilitate conversation implemented as a proof-of-concept; (4) insights intothe 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
Details on teaching interests, highlights and modules are available for Dr. Kulvinder Panesar as follows:
Teaching interests
Teaching related:- AI Project Design and Development
- Machine Learning Methods and Models
- Data Science for AI
- Discipline-specific AI Project
- The Applied AI Professional
- Industrial AI Project
Research related:
- Natural Language Processing (NLP) in AI
- Conversational AI
- Intelligent Agents
- Conversational Software Agent Development
- Computational Linguistics
- Knowledge Representation and Reasoning (KRR)
Publications
There are 7 publications involving or that are attributed to Dr. Kulvinder Panesar. They are listed as:
- book chapter (2)
- conference contribution (3)
- peer reviewed journal (2)
Book Chapter
Title | Year | Publication name | Journal | Volume | Pages | Authors | Editors | ISSN | Publisher | DOI | Location |
---|---|---|---|---|---|---|---|---|---|---|---|
Functional Linguistic Based Motivations For A Conversational Software Agent | 2018 | Perspectives on the construction of meaning and knowledge: The linguistic, pragmatic, ontological and computational dimensions | Perspectives on the construction of meaning and knowledge: The linguistic, pragmatic, ontological and computational dimensions | Panesar, K | Brian Nolan and Elke Diedrichsen | Cambridge Scholars Publishing | |||||
Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective | 2020 | The Age of Artificial Intelligence: An Exploration | The Age of Artificial Intelligence: An Exploration | Panesar, K | Steven S. Gouveia | ISBN: 978-1-62273-872-4 | Vernon Press |
Conference Contribution
Title | Year | Publication name | Journal | Volume | Pages | Authors | Editors | ISSN | Publisher | DOI | Location |
---|---|---|---|---|---|---|---|---|---|---|---|
Motivating a linguistically orientated model for a conversational software agent | 2018 | KMR2018 – 7th International Conference on Meaning and Knowledge Representation | KMR2018 – 7th International Conference on Meaning and Knowledge Representation | 1 | Panesar, K | FungramKB.com | Dublin | ||||
Title: New extended Computer Science curriculum model: USE-VQP-VCP (University, Students and Employers – Vendor Qualification Providers – Value Chain Partnership) | 2019 | AdvanceHE STEM Teaching & Learning Conference 2019 | AdvanceHE STEM Teaching & Learning Conference 2019 | 2019 | Panesar, K | AdvanceHE | Birmingham | ||||
‘How can one evaluate a conversational software agent framework’? Conference Presentation 1 and Book of Abstracts. | 2018 | KMR2018 – 7th International Conference on Meaning and Knowledge Representation | KMR2018 – 7th International Conference on Meaning and Knowledge Representation | 1 | Panesar, K | Brian Nolan | Dublin |
Peer Reviewed Journal
Title | Year | Publication name | Journal | Volume | Pages | Authors | Editors | ISSN | Publisher | DOI | Location |
---|---|---|---|---|---|---|---|---|---|---|---|
An Evaluation of a Linguistically Motivated Conversational Software Agent Framework | 2019 | Journal of Computer-Assisted Linguistic Research | 3 | Panesar, K | Carlos Periñán-Pascual | e-ISSN: 2530-9455 | UNIVERSITAT POLITÈCNICA DE VALÈNCIA | https://doi.org/10.4995/jclr.2019.11118 | |||
Conversational artificial intelligence - demystifying statistical vs linguistic NLP solutions | 2020 | Journal of Computer-Assisted Linguistic Research | 4 | Panesar, K | Carlos Periñán-Pascual | e-ISSN: 2530-9455 | Universitat Politécnica de Valéncia | https://doi.org/10.4995/jclr.2020.12932 |