Multi-phase aerated stirred fermenters are well-accepted in the production of biopharmaceuticals including antibodies and vaccines. Nevertheless, their hydrodynamic and mixing characteristics as well as the influence of various process engineering variables on their performance are not fully understood. In the current study, extensive experimentation (ERT and endoscopy) and the Computational Fluid Dynamics (CFD) approach will […]

Preharvest sprouting (PHS) has been looked at as negative and grains showing signs of PHS, is rejected by food companies. But as consumers seek more nutritious foods, it has been shown that sprouted seeds have increased amounts of important nutrients such as soluble dietary fiber, vitamins, minerals, and phytochemicals compared to their fresh products. Therefore, […]

Corporations are under a lot of scrutiny, especially when they annually release their financial reports to the government. If a corporation makes a mistake, or if an employee submits fraudulent information, or if it appears that either is the case, then they risk being asked to amend the filing by the government, which will cause […]

Tomato is one of the most important greenhouse crops. The high nutritive quality, huge consumption, high yield potential and marketing value make tomato a popular household food and ideal commercial crop. However, frequent outbreaks of tomato canker disease resulting in devastating economic loss place it as a big threat to greenhouse tomato production. Tomato canker […]

The proposed research project targets anomaly detection of event data. The project has a duration of four months and aims to achieve two objectives: (1) to evaluate the effectiveness of a novel approach on GAN for real-world data, and (2) compare it to alternative methods. The intern will use existing research resources, and will apply […]

The proposed research project targets computational performance improvements of an data analysis pipeline. The project has a duration of four months and aims to achieve two objectives: (1) to properly characterize the performance of individual stages of the existing data analysis pipeline in terms of execution time, memory, and I/O, and (2) to improve the […]

The goal of the project is to gain insight into individuals’ reactions to an artificial intelligence (AI) product currently in development at Kiite. The product is designed to fulfill some of the role responsibilities typically occupied by a manager. Trust is an important factor in both leader-employee relationships and in user experiences with AI-based systems. […]

Les systèmes photovoltaïques sous concentration (CPV) sont actuellement les systèmes photovoltaïques présentant l’efficacité la plus élevée. En concentrant les rayons lumineux du soleil sur une petite surface de cellule solaire à très forte efficacité (>40%), des performances au niveau module supérieures à 30% peuvent être obtenues. Cependant, ces systèmes nécessitent de pointer à tout instant […]

Heart failure (HF) is one of the leading causes of hospitalization and rehospitalization in older adults, yet the majority of HF-related readmissions are preventable if patients can manage their treatment at home. One method to help patients who require extra assistance in following their treatment is through mHealth applications. However, these applications are not usable […]

The industry partner of this project has an elevator modernization project that includes increasing the current speeds of their elevators by more than 30%. However, increase in speed is usually associated with increase in aerodynamic and lateral forces on the elevator cars, which can negatively affect ride quality and noise levels. The objective of this […]

For this project, a data mining, visualization, and modeling technique will be developed and tested specifically for emails, using publicly available datasets. The mining will consist of gathering email and other potentially related datasets and cleaning those datasets. Cleaning will consist of removing duplicate or unnecessary information, as well as labeling data with basic information […]

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still […]