Dr Amjad Ullah
| Biography | Amjad Ullah has received his PhD from University of Stirling in 2017 with a thesis on “Towards a biologically-inspired cloud elasticity framework”. He has 3+ years of Postdoctoral research experience, where he was actively involved in the cutting-edge research and development of innovation and research-based Horizon 2020 European projects including COLA, CloudiFacturing, ASCLEPIOS, and Digitbrain. He has the experience of co-authored research papers in leading international journals and peer-reviewed international conference proceedings. Amjad actively review for the Journal of Gird computing. He also has strong interest in contributing to the open-source development community. His research interests include in the following areas: • Cloud computing; • Cloud-to-Edge ecosystem; • Internet-of-things (IoT); • Distributed computing; More specifically, he is working on problems related: • Orchestration and run-time management of applications in the cloud; • Cloud resource provisioning, management and optimisation; • Cloud auto-scaling (Horizontal and vertical elasticity); • Performance based scaling policies; • Deadline based scaling policies to support batch-based applications in the cloud environment; • Orchestration and run-time management of IoT applications in the Cloud-to-Edge environments; • Computational offloading in edge computing; Students project topic ideas are listed here: https://amjad-ullah.netlify.app/#ideas |
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| Research Interests | • Orchestration and run-time management of applications in the cloud; • Cloud resource provisioning, management and optimisation; • Cloud auto-scaling (Horizontal and vertical elasticity); • Performance based scaling policies; • Deadline based scaling policies to support batch-based applications in the cloud environment; • Orchestration and run-time management of IoT applications in the Cloud-to-Edge environments; • Computational offloading in edge computing; |
| Teaching and Learning | Database Systems, Programming for the web, Web design and development |
| PhD Supervision Availability | Yes |
| PhD Topics | - Towards an AI driven Cloud-to-Things application-level orchestration framework for next-generation Internet of Things systems - Towards a unified AI driven approach of context handling to support reconfiguration decisions in Cloud-to-Things orchestration for next-generation IoT systems |