Visualizing the Performance of Scientific Applications Executing with Space-Time Domain Decomposition

Today’s high performance computers offer the possibility of computing complex large scale computational fluid dynamics simulations in a reasonable time. In practice, exploting the thousands of computing cores to achieve the desired solution time is very challenging. These challenges include finding enough work to keep all these cores busy, and assigning work to different parts […]

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Extraction automatique d’informations à partir de publications scientifiques en chimie et science des matériaux

Le nombre d’articles scientifiques a grandement augmenté ces dernières années dans la plupart des disciplines et notamment en chimie. Ce flux grandissant d’informations complique le suivi des innovations techniques issues de la recherche et leur intégration dans le processus de production par les entreprises du secteur de la chimie. Ce projet vise donc à développer […]

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Schroedinger Bridges and Generative Models

Conventional molecular discovery relies on high-throughput screening strategies (HTS) to identify molecules that match a specific set of user-defined properties. Unfortunately, due to the enormous size of chemical spaces (10^60 molecules in the case of the drug-like chemical space), HTS is usually performed over pre-built chemical libraries of moderate size, often by employing computational/AI methods […]

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Innovating at the Intersection of Emotions and AI-based Language Models

Canadians have experienced tremendous mental health challenges over the last few years. At the same time, systems to address mental health are over-burdened. There is thus a clear need to scalable and low-cost technologies that could support the mental and emotional wellbeing of Canadians. This project is about developing innovations in artificial intelligence that could […]

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Using Artificial Intelligence to Classify Interpersonal Skills

This MITACS BSI project represents a collaboration between Skillsetter.com (an online interpersonal skills training company and Partner Organization) and members of the University of Calgary’s Department of Computer Science (Professor Richard Zaho [Academic Supervisor] and Mohamad Elzhobi [PhD Student and Project Intern]) aimed at developing a machine learning model to classify aspects of judgmentalness from […]

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Stochastic Control in Network Coding Enabled Wireless Systems Year One

Network stochastic control is considered as a primary goal in the design of emerging wireless networks. One of the objectives in the stochastic control of wireless networks is to enable crosslayer designs to achieve stochastically optimal resource allocation in the physical and MAC layers. Different stochastic performance criteria can be considered in the optimal control […]

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Arctic Research Foundation – Serverless DevOp

The general objective of this project is to ensure that the development cycles for the ongoing ARF project are reliable and will focus on areas of Continuous Integration and Continuous Deployment (CI/CD). Automated testing evaluating and using tools such as Cypress or Enzyme and increasing observability of the solution by exploring tools like AWS XRay […]

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Clinicial Archive for Data Science

Till this time the data of patients in clinics are not saved in a way comfortable for further research especially if it is some specific disease, which has not been studied enough yet, it is hard for a doctor to collect all the data correctly to see the whole picture of the patient’s health. The […]

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Development of Data Lake Analysis Infrastructure to Enable Andorix’ Digital Service Platform for Smart Building Management

Located in Toronto, Andorix is a smart building enabler and systems integrator for real estate properties. As typical smart buildings house between five to ten thousand various Internet of Things (IoT) devices and sensors generating massive amounts of data, Andorix has embarked on a Research and Development (R&D) program to leverage the available data to […]

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Design a 64-QAM load modulated transmitter antenna array with high data transfer capability and better energy efficiency for mmWave applications.

Millimeter wave (mmWave) is the best way to handle high data rate requirements in this era of 5G communications. High data rates could be achieved by complex modulation schemes such as QAM and OFDM. However, both make the transmitted signals with high peak-to-average power (PAPR). PAPR can be lowered with multi-carrier transmission, amplitude clipping, and […]

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