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I am a PhD candidate at Polytechnique Montréal in the Mathematics and Industrial Engineering Department. In Iran, I earned a bachelor’s degree and a master’s degree in systems engineering at Amirkabir University of Technology (Tehran Polytechnic). I was supervised by M. H. Fazel Zarandi, Mostafa Moein and Abbas Seifi as I worked on topics of clustering algorithms for customer segmentation for my BSc project, and on a fuzzy neural network for disease diagnosis systems for my MSc thesis.
I started my PhD in GERAD under the supervision of Louis-Martin Rousseau and Yossiri Adulyasak. I am a member of the Canada Research Chair in Healthcare Analytics and Logistics (HANALOG) and Canada Research Chair in Supply Chain Analytics. For my PhD thesis, I am working on combining operations research and machine learning algorithms to improve solving quadratic combinatorial optimization problems.
Being a part of GERAD, one of the most outstanding research centres for operations research, has provided me with a platform to collaborate with resourceful researchers and professors. From the beginning of my PhD, I attended multiple workshops and seminars at GERAD which have been helpful to increase my expertise and improve my social skills. I also decided to get involved in GERAD by becoming its PhD students’ representative in October 2020.
After graduation, I would like to explore different opportunities in my career path where I can put into practice what I learned in the fields of algorithm design, optimization, and data science.
Ian Yihang Zhu – University of Toronto
Cahiers du GERAD
Binary quadratic programming (BQP) is a class of combinatorial optimization problems comprising binary variables, quadratic objective functions and linear/no...BibTeX reference