Pooyan Jamshidi

machine learning cloud architecture transfer learning self-adaptive software performance tuning highly configurable software configuration optimization devops artificial intelligence big data cloud computing software engineering software architecture uncertainty auto-scaling machine learning systems performance analysis performance engineering apache storm apache cassandra microservices migration pattern elasticity ai causality causal inference systems robotics model learning model prediction predictive models bayesian optimization response surface stream processing system design of experiment apache kafka apache hadoop gaussian process fuzzy control cloud resource provisioning adaptive system autonomic computing multi-cloud cloud architecture pattern windows azure cloud migration software architecture evolution uai2020 chain graphs thesis dissertation viva phd planning ai security deep learning adversarial machine learning highly-configurable systems model-based adaptation darpa brass architectural tradeoffs distributed systems software performance models exploratory study sensitivity analysis adaptive robotic software auto-tuning cassandra software testing storm feedback-driven development continuous delivery knowledge sharingcloud computing reinforcement learning knowledge evolution self-learning software connectors cloud auto-scaling runtime adaptation dynamic resource provisioning amazon cloud application modernization openstack google cloud cloud design pattern method engineering elastic software evidence-based and empirical study systematic literature review architecture-centric software evolution software evolution change pattern pattern-based software evolution model driven development