pavandeep pavandeep
Dr. Pavandeep KATARIA

Lecturer I
Information Systems Discipline
Department of Management, Marketing and Information Systems

pkataria@hkbu.edu.hk
3411 7581
WLB 921
https://orcid.org/0009-0004-7584-0992
 
 

Dr. Pavandeep Kataria holds a PhD in Computer Science and brings extensive industry and teaching experience to her academic practice. Her professional background spans banking, technology start-ups, and digital strategy. Her expertise includes research, software patent drafting, business process management, and corporate training across the Asia-Pacific (APAC) region.

She has led digital transformation initiatives, designed enterprise-level technology strategies, and developed knowledge bases for AI applications and business process optimisation.

As a full-time academic, she teaches interdisciplinary undergraduate and postgraduate courses that integrate AI, software, and business. She is experienced in interactive teaching methods, including distance learning, role play, teamwork, and case studies. 

Dr. Kataria’s teaching interests include e-business and digital transformation; AI applications in business and society; digital media and communication; and collaboration between industry and academia. Her research focuses on neuro-symbolic AI, and on Semantic Web-based approaches to human–machine interaction, with particular emphasis on ontology development, rule-based reasoning, and taxonomy design.

Postgraduate (MSc in AI in Business): Generative AI and Prompt Engineering for Business.

Undergraduate (Bachelor of Business): AI for Business; Python for Business Applications; Project Management for Digital Artefacts; AI and Digital Inclusion in an Ageing Society.

 

  • PhD in Computer Science (2011), University of Westminster, United Kingdom. Doctoral research focused on the Semantic Web and software interoperability.
  • Postgraduate Certificate in Special Study: Theory and Practice of Supported Learning (2011), University of Westminster, United Kingdom.
  • Bachelor of Science in Information Systems (2006), University of Westminster, United Kingdom. Selected modules: System Requirements, Database Management Systems, Information Engineering.

Grants in T&L:

Co-Investigator for the [TDG] Venturelab: Entrepreneurial Advisor & Investment Portfolio Simulation (Ref: TDG-2526-1-01) (AY2025/26)