The project’s overall objective is to design, develop, and implement path planning and object avoidance algorithms for an autonomous Cart Puller (Tractor-Trailer) vehicle, developed by Advanced Intelligent Systems (AIS) Inc. Cart puller is an autonomous tractor-trailer type vehicle designed to operate in out-door and in-door nursery farms and greenhouses efficiently. They are used for moving […]

How to automatically monitor wide critical open areas is a challenge to be addressed. In this project we are looking for using CNN+LSTM technique for identifying anomalies and by using a deep reinforcement learning approach, classify them into one or more groups such as health, crime, accidents etc. This project aims to alleviate this problem […]

Carbon capture and storage is a feasible, reliable and economic approach to reduce CO2 emission. Llydiminster area on the boarder of the provinces of Saskatchewan and Alberta is an area with significant heavy oil production and a large amount of CO2 resources from thermal operated heavy oil production facilities and oil upgraders. Deploying CCU technology […]

This project aims to provide Canadian petroleum companies a comprehensive big-data-analytics tool that concludes the essential controlling parameters which enable successful experimental and numerical studies on CO2-based solvent injection processes in post-CHOPS reservoirs. The proposed database includes relevant experimental research work that expand through multiple experimentation scales, as well as relevant numerical research work that […]

Cyber-Physical Systems (CPS) combine communication and information technology functions to the physical components of a system for purposes of monitoring, controlling, and automation. The power grid is becoming one of the largest CPS, where grid components are controlled based on the synergies in the cyberspace. CPS hold a great promise to improve the efficiency and […]

Anomaly detection or outlier detection is a technique to identify rare items, observations or events which are differing significantly from most of the data or do not conform to the expected behavior of the system. Typically, anomalous data cause numerous problems in the computer networking and communication system. This project aims to develop an advanced […]

Precision.ai is building solutions to minimize chemical consumption while maintaining weed control through Intelligent UAV based application. Precision.ai has working survey drones that can fly a field, capture images and use AI to map weeds to be sprayed later. Precision.ai also has “See & spray” drones that can fly a field, identify weeds and spray […]

This project works to classify contaminants found in residential curb-side recycling. This is done automatically using computer vision techniques. As recycling is tipped into the recycling truck, cameras take pictures of the recycling and computer vision software works to identify contaminants found in the load. With municipalities equipped with this fine-grained data, they will have […]

This research work will establish a systematic workflow for analyzing transient equilibrium foamy oil phase behavior by coupling the CCEC tests, depletion rate and presence of water-in-oil emulsion which are seldom performed for heavy oil. It will provide a strong connection and comparison with previously studies which was conducted in the absence of water-in-oil emulsion. […]

Since 1960, System engineering has been used as an approach for multidisciplinary and concurrent design of complex systems. It relies on a system-centered thinking to solve problems and different design process models have been used for system engineering such as V-model. Model-based System engineering (MBSE) was developed to replace documents with models.AIS is developing mobile […]

This project explores methods of engagement and communication that bridge the science, public and policy gap in respect of the nuclear ecology: medicine, mining, and meeting climate change commitments (through nuclear energy small modular reactors (SMRs)). Saskatchewan, the home of uranium mining and where scientists helped develop the world’s first cobalt-60 nuclear medicine scanning machines, […]

Native prairie is critical to the survival of avian grassland specialists. This internship will determine the extent to which recent natural gas development on native grasslands in Southwestern Saskatchewan influences grassland songbird abundance. Natural gas activity may negatively affect bird abundance via habitat degradation (well density, noise pollution, human disturbance, exotic species, soil compaction, gas […]