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 […]

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 […]

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 […]

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 […]

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 […]

The primary objective of the project is to investigate, design and prototype a secure and reliable online tool that enables real-estate buyers to pay deposits on real-estate transactions electronically via credit or debit card. In addition, it will allow real-estate brokers to log in and view transaction statistics. The tool will provide a user friendly […]

Regular expressions can be thought of as a mini programming language that has a general pattern notation that allows you to search texts for occurrences of string patterns. Recently, a prototype compiler for regular expressions was introduced that provided a 5x or better performance advantage over its closest competitors. The prototype implemented a novel new […]

Software designed Networks (SDN), in particular OpenFlow and FORCES, encourage the writing of network protocols and policies as programs with the stated goal to make those programs ever more expressive, more predictable, more evolvable and more usable. Within the OpenFlow initiative, the level of programmability is expressed in a set of policy rules that are […]

Charitable Gaming Platform Innovation and Enhancements The Lotto Factory was established in 2018 and has developed, tested, and deployed an online gaming platform for the charitable and not-for-profit sectors. This initial version of the platform has been adopted by more than 150 charitable and not-for-profit organizations allowing them to raise much-needed unrestricted funds online. Our […]

The big problem in healthcare Is that that about 80% of medical data remains unstructured and untapped after it is created. It’s hard to handle this type of data for Electronic Medical Record (EPIC), it tends to be ignored, unsaved or abandoned, and therefore is not effectively used in medical treatment or research. It’s highly […]

The main purpose of this research is to propose a strategy to generate synthetic chest x-ray images from data of clinical interest. The generated images should visually reproduce lung disease based on the selected input characteristics. This requires the processing and analysis of images using algorithms that identify the most relevant characteristics and variables to […]

There is a growing need to develop new crop protection products that are more effective against fungal disease and mitigate pathogen resistance. The fungicide product development process is time consuming and expensive and there is a great opportunity to reduce costs and time by using machine learning. In this project, an existing deep learning algorithm […]