Faculty

Students, faculty, staff and alumni are welcome to watch the Canadian Engineering Competition (CEC) 2019 competition events. Various competitions in design, consulting, presentation and debate will take place throughout E7 from Friday, March 1 until Sunday, March 3.

The four-part Canadian Blockchain Olympiad Training Camp programme to prepare Canadian students for entering the 2019 International Blockchain Olympiad (www.ibcol.org), a multidisciplinary design & building competition for solving real-world challenges through decentralised apps.

This year, the Management Engineering's Capstone Design Symposium is showcasing the capstone design projects of fifteen teams of senior students. Each of these teams has tackled an emergent problem, in many cases sourced from a client company, with far-reaching implications in industries and areas as diverse as education, retail, manufacturing, software, non-profits, airlines, government,  fashion, and self-improvement.

Themes of this year’s projects include data analytics, data-driven decision-making and the design of systems that leverage this information into effective products and solutions.  In order to create these comprehensive tools, management engineering projects are often highly multidisciplinary, drawing from concepts in information systems, process design, behavioral science, mathematical modelling and optimization, and data science.

There are many projects to discover, take a look at the 2019 Management Engineering Capstone Design Projects.

Major Field

Management of Technology

Examining committee

Brian Cozzarin - Management Sciences

Selcuk Onay - Management Sciences

Margaret Dalziel - CBET

Jonathan Fugelsang - Psychology

Committee chair

Bonwoo Koo - Management Sciences

In this talk, we discuss a discrete-time model where the underlying asset price is subject to stochastic volatility and liquidity for optimal trade execution. This model is an extension of Almgren and Chriss' model. Instead of the mean-variance criterion, we consider the mean-quadratic criterion for choosing the optimal strategy through applications of Markov decision processes. We carry out a numerical analysis by Monte Carlo simulation and provide detailed comparison results under various risk aversion criteria.

Supervisors

Qi-Ming He

Fatih Erenay

Committee chair

Jean-Pierre Hickey - Mechanical & Mechatronics Engineering

Examining committee

Qi-Ming He - Management Sciences

Fatih Erenay - Management Sciences

Elizabeth M. Jewkes - Management Sciences

Stanko Dimitrov - Management Sciences

David Landriault - Statistics and Actuarial Science

Supervisor

Fatma Gzara

Committee chair

Perry Chou - Chemical Engineering

Examining committee

Fatma Gzara - Management Sciences

Samir Elhedhli - Management Sciences

Houra Mahmoudzadeh - Management Sciences

Ricardo Fukasawa - Combinatorics and Optimization

We compare two models of a multi-server queueing system with state-dependent service rates and return probabilities. In both models, upon completing service, customers are delayed prior to possibly returning to service. In one model, the determination of whether a customer will return occurs immediately upon service completion, at the beginning of the delay. In the other, that determination is made at the end of the delay, capturing the idea that it takes time for the customer’s condition and needs to evolve or assess, before it becomes known whether a return to service is needed.

This study examines how duration of patent examination is affected by technological diversity of patent applications, using a sample of all pharmaceutical patent applications filed between 1985 and 2017 at China’s State Intellectual Property Office (SIPO). Patent examination is a crucial process to evaluate the patentability of technological inventions. To understand what factors influence patent examination duration can offer strategic insights for both patent applicants and patent system designers.