Grant Tingstad Email & Phone Number

Saskatoon, Saskatchewan, Canada

• Developing computer vision solutions to enhance productivity and safety in mining environments. Key areas of work involve development of vision-based automation and process monitoring solutions with a focus on.
• Development of time-series algorithms for point clouds and video streams to support autonomous motion of machinery. I have worked on solutions for collision avoidance, autonomous steering, and environment mapping..
• Development of time-series algorithms for point clouds and video streams to support autonomous motion of machinery. I have worked on solutions for collision avoidance, autonomous steering, and environment mapping..
• Deployment of process monitoring solutions, including remote equipment monitoring and object detection. Responsibilities include selection and deployment of sensors and imaging technology, development of event.
• Development of ROS environments and drivers; integration of ROS coordinate frames and mesh models into control software.Core competencies: Mathematics, Probability | Numpy, Torch, TensorFlow | Classical image.

Saskatoon, Saskatchewan, Canada

• My research focuses on developing machine vision classifiers for identifying Fusarium Head Blight in wheat kernels. Alongside my core research, I am also developing a hyperspectral imaging system for the acquisition of.
• Completion of a robotic hyperspectral scanner utilizing pushbroom-style cameras (Specim FX10, FX17) and a custom software package for the calibration and… Show more My research focuses on developing machine vision.
• Completion of a robotic hyperspectral scanner utilizing pushbroom-style cameras (Specim FX10, FX17) and a custom software package for the calibration and control of the scanner system. The software provides live-views.
• Development of a image analysis, feature extraction, data management, and machine learning pipeline for the analysis of hyperspectral data. Key expected outcomes of this research include insights into optimal spectral.
• Additionally providing contract services for robotic design projects in the College of Mechanical Engineering. Notably, I developed an electrical interface and RC motor control driver (C++) for vehicle-sized robotic.

Saskatoon, Saskatchewan, Canada

• My work at GIFS was primarily focused on the development of data acquisition systems for crop phenotypic research. Typical responsibilities included:
• Combining experience in electromechanical engineering, microcontroller programming (C++), and software development, I designed custom imaging equipment for computer-vision leveraged crop research. Notable platforms.
• Combining experience in electromechanical engineering, microcontroller programming (C++), and software development, I designed custom imaging equipment for computer-vision leveraged crop research. Notable platforms.
• Developed computer vision tools with Python CV libraries for enhancing data quality and users' experience on imaging platforms.
• Provided day-to-day engineering support for agricultural research projects, including custom irrigation solutions, lab tools, and research apparatus. One notable project involved the design of custom planters capable.
• Provided mentorship and technical leadership to a small group of engineering co-op students. Show less

Saskatchewan, Canada

• Built custom research tools and image aquisition platforms to support plant phenotyping research.
• Developed tailored plant research solutions, including automatic irrigation systems, rhizoboxes, and other custom greenhouse solutions.

Sidney, BC

• Collaborated with the Marine Technology Center's Testing & Development team on multiple oceanographic monitoring projects.
• Designed power supply PCBs and subsea cable mold jigs, ensuring functionality and reliability in harsh marine environments.
• Tested device drivers to ensure compatibility with a range of hardware and software configurations.

Victoria, British Columbia

• Contributed to the day-to-day production of Industrial Plankton's commercial bioreactors, including completing actuator assembly and installation, calibrating and testing controls, and performing electrical wiring.
• Developed and implemented an embedded optical turbidity sensor to estimate the real-time growth of algae cultures, resulting in improved accuracy and efficiency in monitoring of algae cultures.

Msc, Engineering | Computer Vision, 4.0/4.3

Developing hyperspectral computer vision classifiers for identifying Fusarium Head Blight in wheat. Studying computer vision: developing.

Master Of Business Administration - Mba, Business Administration And Management, General, 3.5/4.3

Beng, Electrical, Electronics And Communications Engineering, 3.3/4.3

Undergraduate studies focused on general electronics & computer engineering, notably embedded systems, software, sensors & data analysis.