Alexis David Pascual Email & Phone Number

Ottawa, Ontario, Canada

Toronto, Ontario, Canada

London, Ontario, Canada

• Managed a team of undergraduate and graduate students in the design, manufacturing, testing, and operations of a CubeSat as part of the Canadian Space Agency's Canadian CubeSat Project
• Interfaced with the CSA, Nanoracks, and other agencies in ensuring that project requirements, budgets, and milestones are met

• Supervised an undergraduate team working on the CubeSat onboard computer
• Involved in the systems level design and over all mission requirements
• Main tasks included prototyping and development of flight software, designing and building hardware test beds for software validation, and determination of flight operation modes

London, Canada Area

• Projects:ARVI AI: Autonomous Vehicles
• Explored the quantization of object detection and pose detection models
• Developed an object detection model for the automatically plugging in an electric vehicleMoonbot: In-Situ Machine Learning for Lunar Surface Science
• Research focused on implementing methods for in-situ machine learning for lunar and planetary exploration using imagery and LIDAR datasets
• Challenges include designing interpretable features and algorithms, as well as lightweight pipelines for implementation on an onboard computer
• Involved in equipment assembly and integration, as well as data gathering at the Canadian Space Agency's Analogue Terrain FacilityCanMoon: Lunar Sample Return Analogue Mission

London, Canada Area

• Previously taught the laboratory components for Microprocessors/Microcontrollers, Operating Systems, Computer Systems Design, and Web Development
• Received a Graduate Student Teaching Award for SY 2018-2019 (https://sogs.ca/gsta/)

• Led a multi-disciplinary team in designing and building the payload for a High Altitude Balloon
• Main tasks included overall systems design, flight software development, and electronics design and assembly
• Successfully launched an environmental sensing payload in June 2018 and a bioaerosol sampling payload in August 2019
• Project in collaboration with SEDS Canada and the Canadian Space Agency

Pasadena, CA

• Involved in robotic assembly and data collection for machine learning applications in planetary rover operations
• Assisted in the implementation of genetic algorithms towards improving feature selection
• Examined the use of EIS sensor data for soil type classification

Doctor Of Philosophy - Phd, Electrical And Computer Engineering, Collaborative Specialization In Planetary Science

Master Of Engineering Science, Electrical And Computer Engineering, Collaborative Specialization In Planetary Science

Thesis topic: Autonomous and Real-Time Rock Image Classification Using Convolutional Neural Networks

Bachelor Of Science (Bs), Physics

Activities and Societies: Ateneo League of PhysicistsThesis topic: 2-dimensional Auxetic Structures in Filtration Applications

Bachelor Of Science (Bs), Materials Engineering

Fabrication, Characterization, and Optimization of 2-Dimensional Auxetic Structures

Bachelor Of Theology