• Data-Driven Inverse Optimization with Applications in Electricity Markets 

  Rafieepouralavialavijeh, Ali (University of Waterloo, 2023-01-19)

  Due to the increasing penetration of renewable resources and demand response instruments in the electricity markets, generation planning models have become more complex and require detailed information on the inherent ...

• Towards Measuring Coherence in Poem Generation 

  Mohseni Kiasari, Peyman (University of Waterloo, 2023-01-11)

  Large language models (LLM) based on transformer architecture and trained on massive corpora have gained prominence as text-generative models in the past few years. Even though large language models are very adept at ...

• Answering Consumer Health Questions on the Web 

  Vakili Tahami, Amir (University of Waterloo, 2022-12-21)

  Question answering is an important sub task in the field of information retrieval. Question answering has typically used reliable sources of information such as the Wikipedia for information. In this work, we look at ...

• Factors of Haptic Experience across Multiple Haptic Modalities 

  Anwar, Ahmed (University of Waterloo, 2022-12-08)

  Haptic Experience (HX) is a proposed set of quality criteria useful to haptics, with prior evidence for a 5-factor model with vibrotactile feedback. We report on an ongoing process of scale development to measure HX, and ...

• Gender Differences in Engineering: A Data-Driven Study 

  Chopra, Shivangi (University of Waterloo, 2022-09-27)

  The gender gap in Science, Technology, Engineering, and Mathematics (STEM) is well known. Not only do fewer women apply to and earn engineering degrees, but also more women leave engineering programs and careers. Past ...

• Radiotherapy Patient Scheduling During Pandemics 

  Raeisi, Shamim (University of Waterloo, 2022-09-26)

  With the Covid-19 outbreak happening worldwide, clinically vulnerable people should be of concern, as they are more likely to be exposed to the virus. Cancer patients with weak immune systems are a group of aforementioned ...

• Dynamic Robust Multi-Class Advance Patient Scheduling 

  Khajeh Arzani, Hamidreza (University of Waterloo, 2022-09-01)

  In this work, we study an advance patient scheduling problem where patients of different classes have different service times and incur different waiting costs to the system. It is known in the literature that multi-class ...

• Constraint-Guided Machine Learning for Solving Optimal Power Flow Problem 

  Lotfi, Amir (University of Waterloo, 2022-08-31)

  Due to the nonlinear and non-convex attributes of the optimization problems in power systems such as Optimal Power Flow (OPF), traditional iterative optimization algorithms require significant amount of time to converge ...

• Data-Driven Analysis of Optimal Repositioning in Dockless Bike-Sharing Systems 

  Unsal, Emre Berk (University of Waterloo, 2022-08-29)

  Bike-sharing systems provide sustainable and convenient mobility services for short-distance transportation in urban areas. The dockless or free-floating bike-sharing systems allow users to leave vehicles at any location ...

• Social media mining to investigate the impacts of the COVID-19 pandemic 

  Parsa, Mohammad S. (University of Waterloo, 2022-08-16)

  The COVID-19 pandemic created a global crisis with devastating social and economic impacts. Firstly, public health measures for COVID-19, such as social distancing affected how we work and study. Secondly, this crisis ...

• Reducing Conservatism in Pareto Robust Optimization 

  Rahimi, Fahimeh (University of Waterloo, 2022-06-09)

  Robust optimization (RO) is a sub-field of optimization theory with set-based uncertainty. A criticism of this field is that it determines optimal decisions for only the worst-case realizations of uncertainty. Several ...

• Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search 

  Zhang, Dake; Vakili Tahami, Amir; Abualsaud, Mustafa; Smucker, Mark (ACM, 2022-07)

  When searching the web for answers to health questions, people can make incorrect decisions that have a negative effect on their lives if the search results contain misinformation. To reduce health misinformation in search ...

• Infrastructure Design for Electric and Autonomous Vehicles 

  Kinay, Omer Burak (University of Waterloo, 2022-04-29)

  This thesis focuses on infrastructure design for the disruptive transportation technologies of electric vehicles (EVs) and autonomous vehicles (AVs) to enable their adoption at large scale. Particularly, two EV-related ...

• Using systems mapping to understand design framing 

  Litster, Gregory (University of Waterloo, 2022-04-29)

  Design is a cognitive activity that involves an iterative process of problem definition, analysis, solution synthesis, and evaluation. These are necessary for grappling with the complex and ill-structured nature of design ...

• The Joint Strike Fighter / F-35 Program: A Canadian Technology Policy Perspective 

  Lam, Danny; Cozzarin, Brian Paul (Air University Press, 2014-03)

  The Canadian F-35 procurement represents the largest peacetime acquisition of new aircraft for Canadian forces since the Korean War. Securing industrial benefits from military procurement is essential for advanced ...

• Distribution planning with random demand and recourse in a transshipment network 

  Alnaggar, Aliaa; Gzara, Fatma; Bookbinder, James H. (Elsevier, 2020-03)

  In this paper we consider a distribution planning problem in a transshipment network under stochastic customer demand, to account for uncertainty faced in real-life applications when planning distribution activities. To ...

• Dynamic Route Planning for Last-Mile Delivery 

  Bulbul, Zeynep (University of Waterloo, 2022-01-25)

  There has never been a time with more demand than now for e-retailing and as a consequence last-mile services. The growth in demand is also bringing significant challenges. With the abundance of options, customers are ever ...

• Risk Assessment in Entrepreneurship 

  Csonka-Peeren, Jacqueline (University of Waterloo, 2022-01-24)

  This PhD dissertation applies the science of decision making to management, specifically entrepreneurship. The purpose of this research is to better understand entrepreneurial behaviour under condition of Knightian ...

• Environmental taxation: The impact of carbon tax policy commitment on technology choice and social welfare 

  Rustico, Erica; Dimitrov, Stanko (Elsevier, 2022-01)

  Motivated by multiple real-world settings, we determine a social welfare-maximizing regulator's tax policies that induce a profit-maximizing polluting firm to make green technology choices. Using a game-theoretic approach ...

• Impacts of COVID-19 on Ontario's Electricity Market 

  Elsarague, Menna (University of Waterloo, 2022-01-05)

  The COVID-19 outbreak has not only threatened global health but has also significantly affected the energy sector. Most countries around the world have faced sudden changes in the electricity load as a result of the strict ...

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