Current graduate students
In this talk I will present an overview of my research on chronic care services. I will then focus on the problem of care delivery for complex patients, with multiple comorbidities. In this project, we develop a Markov Decision Process framework to manage care for individual patients with multiple chronic conditions through a complex care hub. Complex care provision influences the evolution of Patient Activation Measure (PAM), an indicator for healthy behavior, which affects the evolution of health state of patients.
It is generally well accepted that your position in the social network affects your ability to get information. But how do the network positions of those with whom you interact, influence you? This issue is explored using high dimensional network data. Drawing on theories of social influence and the generalized other, social network analytic and text analytic methods, and data science techniques for big data a series of complex socio-technical situation are assessed.
International airfreight forwarders are faced with the problem of consolidating shipments for effcient transportation by airline carriers. The use of standard unit loading devices (ULDs) is a solution adopted by the airfreight industry to speed up cargo loading, increase safety, and protect cargo. We study the airfreight consolidation problem from the forwarders perspective where a decision on the number of ULDs used and the assignment of shipments to ULDs is optimized. The cost of using a ULD consists of a fixed charge and depends on the weight of the cargo it contains.
Supervisor
Jatin Nathwani
Area of Research
Management of Technology
Committee Chair
Mark Aagaard - Electrical and Computer Engineering
Examining Committee
Bonwoo Koo (Supervisor) - Management Sciences
Brian Cozzarin - Management Sciences
Selcuk Onay - Management Sciences
Margaret Dalziel - CBET
Cutting and Packing problems are hard combinatorial optimization problems that arise in the context of several manufacturing and process industries or in their supply chains. These problems occur whenever a bigger object or space has to be divided into smaller objects or spaces, so that waste is minimized.
Accounting for the adverse impact of "non-average" events has become essential in many applications involving decision making under uncertainty. Its implementation through decision models, namely stochastic programs, requires careful measurement of risk that reflects one's concern about uncertain outcomes. Important theories such as convex risk measures outline conditions required for risk measurement but provide little guidance for cases not meeting the conditions. Unfortunately, such cases are more than common in real-life situations.
ExpecTAtions is a two-day workshop that prepares Waterloo Engineering students to undertake a teaching assistantship. To serve as a TA, you are required to complete the ExpecTAtions workshop. After full attendance and successful completion of all required activities you will receive a certificate noting your achievement.
Consider a buyer participating in a repeated auction, such as those prevalent in display advertising. How would she test whether the auction is incentive compatible? To bid effectively, she is interested in whether the auction is single-shot incentive compatible—a pure second-price auction, with fixed reserve price, and also dynamically incentive compatible—her bids are not used to set future reserve prices. In this work we develop tests based on simple bid perturbations that a buyer can use to answer these questions, with a focus on dynamic incentive compatibility.