I am an academic in the Department of Computing at Imperial College London. My research focuses on management and optimization of cloud native applications and services. In this context, I investigate together with my team advanced methods based on analytical, AI, and machine learning techniques to design and manage cloud and Big data systems.

Prospective PhD/post-doc applicants: I am willing to supervise new students with an interest for cloud systems and quality-of-service, see this research manifesto and survey for topics I am interested about. My team offers a lively and friendly environment to carry out postgraduate studies. Feel free to contact me if you wish to discuss opportunities.

Departmental PhD scholarships are available for prospective PhD students, check out the application deadlines. I am also interested to sponsor prospective applicants for Marie-Curie actions, UROPEPSRC postdoctoral fellowships, and the Imperial College Research Fellowship.

Projects: My ongoing and recent projects are in the area of Cloud computing: RADON (2019-21), a large collaborative project on DevOps, serverless computing and Function-as-a-Service (FaaS). Recently completed projects include DICE (2015-18), OptiMAM (2015-16), iBids (2014-17), and MODAClouds (2012-15). I also co-maintain a number of performance evaluation tools, such as JMT, LINE, and KPC-Toolbox.

Teaching: I teach three courses at Bachelor and Master’s levels: C343 Operations research, C337 Simulation and modeling, and C339 Performance engineering.

PhD admissions: for general inquiries related to PhD admissions in our department, please contact the PhD programme administrator, Dr Amani El-Kholy.

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