Ahmad Alnafessah

Short bio. I am currently a PhD student at the Department of Computing, Imperial College London. Previously, I was a senior academic researcher at National Centre for AI and Big Data Technologies KACST from 2012-2017. My research is on performance engineering for big data systems, with a specific focus on in-memory platforms. I am interested in big data systems, AI, IoT, HCP, complex distributed systems and cloud computing.
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Dr Giuliano Casale

Giuliano Casale joined the Department of Computing at Imperial College London in 2010, where he is currently a Reader. Previously, he worked as a research scientist and consultant in the capacity planning industry. He teaches and does research in performance engineering and cloud computing, topics on which he has published more than 100 refereed papers. He has served on the technical program committee of over 80 conferences and workshops and as co-chair for several conferences in the area of performance and reliability engineering, such as ACM SIGMETRICS/Performance and IEEE/IFIP DSN. His research work has received multiple awards, recently the best paper award at ACM SIGMETRICS. He serves on the editorial boards of IEEE TNSM and ACM TOMPECS and as current chair of ACM SIGMETRICS.

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Salvatore Dipietro

Short bio. Salvatore Dipietro is a thrid year PhD student at the Imperial College of London. His intersts include performance modeling and prediction of distributed applications and in particular NoSQL databases. He previously earned a master in advance computing research and a master in Computer security and ForensicHe also worked in industries for some years as Cloud consultant and Linux system administrator.

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Alim Ul Gias

Short bio. Alim is currently doing his PhD. at Imperial College London, under the supervision of Dr. Giuliano Casale. He completed M.Sc. in Software Engineering from Institute of Information

Technology (IIT), University of Dhaka (DU), with thesis on Adaptive Software Performance Testing. He received his bachelor’s degree in Information Technology (major in software engineering) from the same institute.His current research focuses on software performance engineering using stochastic process modeling and machine learning.

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Lulai Zhu

Short bio.  Lulai Zhu obtained a BEng and an MEng in Measurement Technology and Instruments from Sichuan University, China, in 2008 and 2011 respectively. After that, he joined Emerson Network Power and had been working as a software test engineer for four years. He received in 2016 an MSc in Computing Science from Imperial College London, UK, and is now a doctoral student in the Department of Computing under the supervision of Dr. Giuliano Casale. His PhD study aims to contribute analytical methods for solving performance models such as queueing networks and Petri nets, with a particular focus on fluid approximation. He recently worked as a research assistant in the DICE project on performance modeling and simulation, and would play a similar role in the RADON project on architectural decomposition and optimization. He is also an active maintainer of the well-known JMT suite.


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