Faculty of Applied Sciences Profiles: 2023

  • January 10, 2023

    January 10, 2023

    Bahareh is studying sustainable energy engineering with the goal of developing photovoltaic devices that people can access easily. Previously, Bahareh earned a bachelor's and master's degree in polymer engineering in Iran.

  • January 16, 2023

    January 16, 2023

    Sean studies engineering science while competing on SFU's track and field team. He is a recipient of the CGS Master's scholarship. Currently, Sean is developing a wearable circuit that can create powerful pulses of light for diagnostic and therapeutic purposes.

  • January 30, 2023

    January 30, 2023

    Parsa is a computing science master's student and a recipient of the SSHRC Canada Graduate Scholarship. Parsa studies how computer science education benefits students' critical thinking and problem solving skills.

  • May 15, 2023

    May 15, 2023

    Soroush Naeiji is a doctoral student in Mechatronic Systems Engineering finding solutions for advancing sustainable power and energy solutions.

  • May 23, 2023

    May 23, 2023

    Anderson is an engineering science doctoral student studying how artificial intelligence can capture the redundancies present in images and videos.

  • June 01, 2023

    June 01, 2023

    Dr. Hyomin Choi completed his PhD in the School of Engineering Science in the Faculty of Applied Sciences where his pioneering work is being adopted as international standards in the field of AI-based video compression.

  • June 01, 2023

    June 01, 2023

    Dr. Lovedeep Gondara completed his PhD in the School of Computing Science in the Faculty of Applied Sciences working on enhancing machine learning performance while using decentralized data and ensuring that data privacy is intact

  • September 06, 2023

    September 06, 2023

    Amirhossein is a doctoral student in Computing Sciences researching power of computers to help fight diseases more effectively.

  • September 11, 2023

    September 11, 2023

    Ali is a doctoral student in Computing Sciences seeking to improve the accuracy and trustworthiness of machine learning methods for using AI in precision medicine