Mashood M. Mohsan received his Bachelor's degree in Computer Science from the University of Agriculture, Pakistan, in 2020, and his Master’s degree in Computer Software Engineering from the National University of Science & Technology (NUST), Pakistan, in 2022. He is currently a Research Associate at Khalifa University, where he focuses on AI-driven vision-based tactile sensors for robotics in agriculture.
Previously, he was a Visiting Research Associate at Khalifa University, where he worked on intelligent wearable medical devices such as the SixthFinger. From 2021 to 2023, he served as a Research Assistant at NUST, engaging in projects on skin cancer segmentation on histopathology images and sensor failure prediction for mission-critical autonomous aerial vehicles.
His research interests encompass AI-driven vision-based tactile sensing, AI in biomedical engineering, intelligent devices for rehabilitation, and biomedical image analysis. He has contributed to multiple journal articles and conference papers in these fields. Mashood was awarded the Best Innovative Idea Award in Biomedical Field at the 5th annual resident research conference in 2022.
Avocado Ripeness Prediction Stretch Robot Setup. The robot, equipped with tactile sensors, grasps the fruit, picks it, and simultaneously predicts its ripeness using an AI model. The robot then moves to the designated ripeness bin position (Ripe, Overripe, and Underripe) before placing the fruit inside.
