Portrait of Saha Malaki

Saha Malaki

Research Student

Bayes Business School, Faculty of Management

Contact

Visit Saha Malaki

Bunhill Row

Postal address

City, University of London
Northampton Square
London
EC1V 0HB
United Kingdom

About

Overview

Saha is a PhD candidate in Operations Management at Bayes Business School (formerly Cass).

Her research focuses on quantifying the impact of flexible workforce on healthcare performance measures and finding the optimal mix of flexible and permanent workers.

She holds a Master degree in Mining Engineering from University of Alberta, Canada, and a Bachelor degree in Industrial Engineering from K.N.Toosi University of Technology, Tehran, Iran.

Qualifications

  • MSc, University of Alberta, Canada, Sep 2014 – Sep 2016
  • BSc, K.N.Toosi University of Technology, Iran, Sep 2008 – Sep 2012

Employment

  • PhD Candidate, Bayes Business School (formerly Cass), Sep 2017 – present
  • Industrial Engineer, Sangin Kar Sanat, Jun 2013 – Aug 2014

Languages

English (can read, write, speak, understand spoken and peer review) and Persian (can read, write, speak, understand spoken and peer review).

Expertise

Geographic Areas

  • Americas - North
  • Europe
  • Middle East

Research

1st supervisor

  • Dr Navid Izady, Reader in Operations & Supply Chain

Publications

Conference paper/proceedings

  1. Malaki, S., Khodayari, F., Pourrahimian, Y. and Liu, W.V. (2017). An application of mathematical programming and sequential Gaussian simulation for block cave production scheduling. Underground Mining Technology 11-13 October, Sudbury, Canada.