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Student Researcher
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[2025] Started Masters → PhD in AI & Robotics at Sejong University
[2025] Joined MINES Lab as Student Researcher focusing on Vision AI
[2025] Paper submitted to Scientific Reports Journal (Nature)
[2024] Paper "FaultSeg: A Dataset for Train Wheel Defect Detection" published in Scientific Data Journal (Nature)
[2024] Submitted multiple papers to GCWOT2024 Conference (IEEE)
[2024] Joined as AI Engineer at NCRA-CMS Lab, MUET
[2023] Graduated with BE in Computer Systems Engineering (CGPA: 3.15)
I am currently a Student Researcher at MINES Lab (Mobile INtelligent Embedded System), Department of AI and Robotics, Sejong University, Seoul, South Korea.
Previously, I worked as an AI Engineer at the National Center of Robotics and Automation (NCRA-CMS Lab) at MUET, where I deployed AI models into mobile and web applications and embedded AI models into robotics machines. I completed my Bachelor's in Computer Systems Engineering from Mehran University of Engineering & Technology.
My research interests focus on:
- Deep Learning & Computer Vision
- Vision AI & Real-time Detection Systems
- Robotics & Autonomous Systems
- Transfer Learning & Model Optimization
- Predictive Maintenance using AI
Sahil Jatoi, et al.
VAWKUM Transactions on Computer Sciences, 2025
[paper]
Sahil Jatoi, et al.
Pattern Recognition. ICPR 2024
[paper]
Sahil Jatoi, et al.
GCWOT2024 Conference (IEEE)
[paper]
Developed a comprehensive system using object detection and instance segmentation for real-time identification of train wheel defects.
Deployed on mobile applications for field use.
Tech: Python, Deep Learning, YOLOv8, Computer Vision
Built an interactive learning application supporting English, Urdu, and digits with CNN-based image recognition,
integrated with Google's voice library for pronunciation.
Tech: Python, CNN, Streamlit, TensorFlow
Integrated reinforcement learning in industrial pick-and-place robotics and autonomous robotic arm grasping.
Tech: Python, Reinforcement Learning, ROS