Dr. Kaveh Kiani
School of Science, Engineering and Environment
Lecturer in Data Science
I have a BSc (Hons) in Statistics from SBU, Iran. Following my degree, I got an MSc in Applied Statistics from ATU, Iran and then a PhD in Applied Statistics From UPM, Malaysia. Then, I received my second MSc in Data Science from the University of Salford.
My PhD research developed a novel 'time to event analysis' or 'survival analysis' parametric model. The research outcome at that time was the only developed model which combines all four types of data censoring mechanisms (left-censored, right-censored, interval-censored, and double interval-censored data) and two types of covariates (fix and time-dependent) in a single model.
I have had various research and development experiences in data industry projects. As an example of my previous research, I defined an integrated research database as a unique source for data mining and producing lots of new cross-sectional and longitudinal statistical information. This database will be consisting of four statistical registers (base registers): population register, activity register, business register and real estate register. These registers will be inter-connected, and one of the immediate outcomes would be a fully register-based Iran's next population and housing census without any field or face-to-face data collection.
Currently, I'm working on combining my knowledge in survival analysis with ML and AI methods to define more efficient survival time models than conventional statistical models. Also, I am working as a co-researcher at the Greater Manchester AI Foundry projects.
Principles of Data Science (MSc), Applied Statistics and Data Mining (MSc)
The broad area of Data Science especially ML and AI methods for Survival Analysis
- PhD in Applied Statistics
- MSc in Data Science
- MSc in Applied Statistics
- BSc (Hons) In Statistics
- Professional member of BCS