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Khazaei, Hamzeh

Bio

About Me
Hamzeh Khazaei obtained his BSc. and MSc. degrees in Computer Science from Amirkabir University of Technology in 2005 and 2008, respectively. He received his PhD degree in Computer Science from University of Manitoba in 2013 where he extended queuing theory and stochastic processes to accurately model the performance of cloud computing systems. Dr. Khazaei joined IBM Canada Research and Development Center as a Research Scientist to incorporate big data management in health informatics pertaining to Neonatal Intensive Care Units. Afterward, he joined York University as a postdoctoral fellow to conduct research on engineering model-based self-adaptive software systems. He continues his research in design and development of a self-managing IoT platform based on microservices at the University of Toronto in the capacity of a Research Associate. Currently he is an adjunct professor in Electrical and Computer Engineering department at the University of Alberta and also an assistant professor in the Department of Electrical Engineering and Computer Science at York Univeristy.



Research
My research strives to promote the dependability and intelligence of distributed systems so that they can be trusted to autonomously manage the backbone of our modern society. My focus particularly is on performance, availability, reliability and security by the way of self-adaptation. To this end, theories such as queueing theory, machine learning, control theory and stochastic petri nets may be leveraged or extended.



Current Interests



  • Engineering self-adaptive systems

  • Performance modelling of cloud systems

  • DevOps through containerized microservices

  • Big data management in IoT and Energy Systems

Khazaei, Hamzeh

Publications, Activities, and Awards

  • ChainFaaS: An Open Blockchain-based Serverless Platform
  • DAG-based Distributed Ledger Performance Evaluation: A Hybrid Model for IOTA
  • Dependable and Autonomic Computing Platform for Managing Transactive Microgrids
  • Performance Evaluation of Blockchain Systems: A Systematic Survey
  • Towards A Scalable DAG-based Distributed Ledger for Smart Communities