Risk management based on Bayesian Networks

Risk management based on Bayesian Networks
Our special guest: Mahsa Teimourikia

Join us and other Rladiers to learn about Bayesian networks and how to use them for Risk management.

Our speaker for this time, is Mahsa Teimourikia. Mahsa has received her PhD from Politecnico di Milano, in the department of Electronics, Computer and Bioengineering (DEIB) in 2016, with research focus on "Security and Safety in Risk-Prone Smart Work Environments". Her research focused on co-engineering adaptive security and safety considering the emerging challenges and opportunities of Industry 4.0. Broadly, she has developed a risk management model based on Bayesian Networks for Industry 4.0 and smart work environments using the ambient and monitored data. And employed the risk-assessment results on a context-aware security model in order to permit risk treatment.

She grew up in Iran, and received her undergraduate degree in Computer Engineering from Sadjad University of Technology in Mashhad, Iran. She earned a Masters in Computer Engineering from Politecnico di Milano in 2013.

Her research interests are: security and access control models, risk management, machine learning, data science, probabilistic and statistical models, and knowledge management.

• Important to know
Please arrive maximum 10 minutes before the meetup time, when you arrive, go to the reception and give your document and get your badge. I'll be there at 18.50 and we go to the classroom together.