1. Faculty of Engineering and Physical Sciences
  2. School of Computer Science
  3. People
  4. Profile
Dr Rabiya Khalid

Dr Rabiya Khalid

  • Position: Research Fellow
  • Areas of expertise: Artificial Intelligence and Machine Learning; Multi-Agent Systems; Blockchain and Distributed Ledger Technologies; Demand-Side Energy Management; Energy Informatics and Smart Grids
  • Email: R.Khalid@leeds.ac.uk
  • Location: 3.25 Braggs Building
  • Website: LinkedIn | Googlescholar | Researchgate | ORCID

Profile

I am a Research Fellow in the School of Computer Science at the University of Leeds, where my research lies at the intersection of Artificial Intelligence (AI), Multi-Agent Systems, Blockchain, and Energy Informatics. My work focuses on creating intelligent, secure, and fair energy management systems that enable sustainable, data-driven, and user-centred smart grids.

I began my research career at COMSATS University Islamabad, where I completed my MS and PhD in Computer Science. During my doctoral studies, I developed novel AI- and blockchain-based frameworks for energy optimisation, trust management, and decentralised energy trading. This work established my long-term interest in applying computational intelligence to real-world energy challenges and led to several international publications and a patent application.

At Leeds, I am advancing my expertise in AI-driven decision-making, distributed systems, and collective intelligence to support the transition towards low-carbon, resilient, and equitable energy systems. My research outputs include over 30 peer-reviewed publications, 14 journal papers, and more than 1,900 citations, reflecting my growing impact in the fields of smart grids, energy informatics, and digital governance.

I am passionate about interdisciplinary and collaborative research that bridges computer science, energy systems, and human–AI interaction to create technologies that are not only efficient but also transparent, ethical, and aligned with societal values.

Research interests

My research lies at the intersection of Artificial Intelligence, Multi-Agent Systems, and Energy Informatics, with a focus on creating intelligent, secure, and fair energy management systems for sustainable smart grids. I develop AI- and blockchain-enabled frameworks that promote cooperation, trust, and transparency among distributed energy users, helping balance demand, improve efficiency, and support the UK’s transition to a low-carbon future.

I am also interested in human–AI collaboration, particularly how users build trust in AI-driven systems and how technology can be designed to promote fairness and inclusivity in energy and digital governance.

Qualifications

  • PhD in Computer Science
  • MS in Computer Science
  • M.Sc in Computer Science