AI/ML-Driven Optimization of Surgical Clinician Schedule

We are unlocking existing surgical capacity using technology. Our solutions equip hospitals and clinicians with the insights to optimize surgical workflow and manage future performance with foresight. Behind Sifio’s empowering platform, we’re healthcare partners who combine advanced business science and operational analytics with technology to make a difference. We know that the ultimate goals are […]

Read More
AI/ML-Driven Optimization of Perioperative Program Workflow: A Data-Driven Approach to Scheduling and Resource Management

We are unlocking existing surgical capacity using technology. Our solutions equip hospitals and clinicians with the insights to optimize surgical workflow and manage future performance with foresight. Behind Sifio’s empowering platform, we’re healthcare partners who combine advanced business science and operational analytics with technology to make a difference. We know that the ultimate goals are […]

Read More
Developing a Guidance List for repOrting Bibliom AnaLyses (GLOBAL)

A bibliometric analysis is a way to measure and analyze the impact and productivity of a person, organization, or field of study using the number and types of publications, citations, and other metrics. It can be used to identify patterns and trends in research, evaluate the performance of individual researchers or research groups, and identify […]

Read More
A Comparison of Calibration Methods for Gas Pressure Gauge Testing

Accuracy of gas pressure gauge measurements is important to ensure that gas companies bill their customers accurately. There are also safety implications since what is being measured is a flammable substance. Calibration is typically used to ensure that measurements taken by a gas pressure gauge do not drift far from the correct values: pressure measurements […]

Read More
Strategies de resolution pour le probleme d’engagement des groupes chez Hydro-Quebec

La transition energetique est bien entamee au Quebec et une des consequences importantes de cette transition est l’augmentation de la demande en energie electrique. De meilleurs outils de conduite du reseau comme ceux proposes dans ce projet, permettront de limiter l’impact de l’augmentation de la demande et ainsi faciliter l’integration de celle-ci sans freiner la […]

Read More
Mathematical Models in Algorithmic Trading

On June 1, 2021, Futures First Canada and FinML began a pilot collaborative project involving three Canadian universities by-way-of a MITACS Accelerate internship (IT25712) to jumpstart an initiative to use cutting edge techniques in machine learning, financial mathematics and AI for making predictions in financial markets. This goal is integral to the business operations of […]

Read More
Splittings of Binomial Edge Ideals

A graph is a collection of nodes or points, called vertices, along with a collection of objects called edges, which connect some of the vertices. Graphs can be used to model a number of real world applications. For example, the world wide web can be represented by a node for each website, and an edge […]

Read More
Proportion-Based Hypergraph Burning

Graph burning is a mathematical game or process that has applications in financial cyber security, as it can be used to model “dirty money” spreading throughout a network of accounts. Hypergraph burning is a similar process that is played on a more complex network-like structure called a hypergraph. We investigate an alternative rule set for […]

Read More
Statistical learning and its application in energy liability management

Develop a statistical model to predict the frequency and severity of contamination on oil and gas sites. Advanced statistical learning techniques will be employed to fully utilize the existing data and the data to be collected. The intern will work closely with colleagues in 360 to integrate domain knowledge into the model. The model will […]

Read More
Statistical aspects of Optimal Transport

This proposal explores the use of optimal transport in statistics and machine learning as well as develop one simple application in chemistry. Optimal transport is a well established mathematical field whose actors have gone to receive the most prestigious recognitions. Its inventor, Leonid Kantorovich, received the Nobel Prize in Economics. Cedric Villani, who wrote the […]

Read More
Biogas plants’ network: optimized locations and connections

Biogas is a gas obtained from the anaerobic digestion of biomass inside fermenter reactors , typically located in biogas-generating plants. The biogas can be burned to produce electric energy and heat. This form of energy conversion can be significant for the decarbonization of actual energy generation. In addition, the biogas can be “purified” and can […]

Read More