Sahar Darafsh

- Instructed and mentored over 100 students in courses on Reinforcement Learning, Convolutional Neural Networks, Neural Networks, and Deep Learning, providing tailored support and fostering a deeper understanding of complex topics. - Assisted with curriculum development, incorporating real-world applications to bridge theoretical and practical learning.

- Evaluated AI-focused projects in medical image analysis, ensuring technical accuracy, innovation, and methodological soundness. - Provided constructive feedback that helped project teams enhance algorithm accuracy by over 15% and application potential, resulting in significant improvements in model performance for specific medical imaging challenges. - Assessed project methodologies and guided teams in refining their approaches, leading to higher-quality outcomes and practical applications in healthcare.

Thesis Title: Designing an embedded system for activity recognition using surveillance camera

Internship: Developed an Android application using Java to retrieve IT Center web page information using JSON and HTML parsers Final Project: Developed an Android application enabling navigation and location sharing among users.