Postdoctoral Fellow, Department of Combinatorics and Optimization, Faculty of Mathematics

Person standing in front of a whiteboardDaniela Lubke is from Rio de Janeiro, Brazil, where she completed her Ph.D. degree in Systems Engineering and Computer at the Federal University of Rio de Janeiro in 2019. There, she worked under the supervision of Prof. Marcia Fampa, while also collaborating with Professor Henry Wolkowicz at the University of Waterloo for a portion of her doctoral research. In 2020, they published a paper titled “Parametric Convex Quadratic Relaxation of the Quadratic Knapsack Problem” in the European Journal of Operational Research 281. The paper was elected as a highlight in the EJOR Editors’ Choice Article of January 2020.

Daniela came to the University of Waterloo to work on a project involving an industrial partner from the analytical services sector. Since June 2021, she is a postdoctoral researcher at the Faculty of Mathematics, working under the supervision of Prof. Fukasawa from the department of Combinatorics and Optimization, and Prof. Sandoval from the department of Chemical Engineering. The main target of their project is to help their partner solve the scheduling problem for large-scale industrial production.

The aim of Daniela’s research is to propose a new model to integrate the personnel allocation and machine scheduling problem for large-scale industrial production. These two optimization problems have been studied independently in the literature and there are limited studies integrating both problems and present results for large-scale instances. She has been working with different optimization techniques applied to solve these real-world problems. Her challenge is understanding the customers’ problems and presenting a mathematical formulation to solve them.

She has been working with optimization problems such as this over the last nine years. In her previous roles, Daniela has worked as a Senior Researcher and Manager of the Optimization Team at IDados. Her core projects have been the school bus routing, school timetabling, and assignment problems. The focus was to find a good solution for these problems and reduced the government expenses on Brazilian public education. These savings could then represent more investments towards education.

University of Waterloo

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