ZAYN
ABBAS
Graduate researcher exploring AI, human-computer interaction, and psychology at University of Guelph
Graduate researcher exploring AI, human-computer interaction, and psychology at University of Guelph
Hi there! I'm Zayn Abbas, a Computer Science Master's student at the University of Guelph, where I'm exploring the fascinating intersection of emotion detection and human-computer interaction.
With a passion for UI/UX design and a knack for creating intuitive digital experiences, I transform complex problems into elegant solutions that users love.
When I'm not coding or designing, you'll find me building model airplanes and cars, diving into gaming adventures, or exploring new music - all of which fuel my creative approach to problem-solving.
2023 - Present
• Developing an emotion detection model using NLP and ML for social media analysis • Researching human-computer interaction patterns in social media engagement • Collaborating with interdisciplinary teams to enhance user experience design
2024 - Present
• Applied user-centered design principles to conceptualize and implement an intuitive, visually appealing dashboard interface. Conducted user research to identify needs, created wireframes and prototypes to guide development, and iteratively improved the interface through usability testing, ensuring a seamless and user- friendly experience. • Seamlessly integrated the Blockly visual programming library, enabling users to create custom analytics equations effortlessly using drag-and-drop blocks.
2024 - Present
• Designed a user-friendly mobile interface allowing players to easily browse through different game modes, customize their decks, and manage their profile. • Implemented a robust backend system to handle user authentication, data storage, ensuring a smooth and responsive gaming experience.
University of Guelph
2023 - Present
Focusing on Artificial Intelligence and Human-Computer Interaction.
University of Guelph
2018 - 2023
Software Engineering major with focus on AI and Machine Learning.
2019 - 2023
Maintained academic excellence throughout undergraduate studies.
2024
Recognized for outstanding bravery and quick action in performing CPR and utilizing an AED to save the life of a Gryphon volleyball player during a medical emergency.
2024
Recognized as an outstanding leader and role model for peers, exemplifying qualities such as mentorship, inclusivity, professionalism, and a commitment to creating an enjoyable work environment.
Developing advanced Natural Language Processing techniques to analyze and detect emotions in social media content. This research aims to improve user experience and mental health monitoring through AI-driven solutions.
Developing advanced Natural Language Processing techniques to analyze and detect emotions in social media content. This research aims to improve user experience and mental health monitoring through AI-driven solutions.
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