I am Dr. Syed Ali Hassan, a postdoctoral researcher at Aarhus University with nearly 10 years of experience across AI, computer vision, robotics, and immersive technologies. My work connects deep-learning research with practical robotic inspection, autonomous systems, and interactive AR/VR applications.
PhD in BioRobotics · Scuola Superiore Sant’Anna, Italy · Marie Curie-funded EINST4INE programme
Selected AI, robotics, inspection, and immersive-technology projects from my research and development work.
An autonomous vision system identifies epoxy-containing objects, estimates pick positions using bounding boxes, and executes targeted pick-and-place actions while ignoring non-epoxy items.
A deep-learning computer-vision system on NVIDIA Xavier detects multiple lane-marking types, identifies pedestrians, estimates distances, and supports collision prevention.
A deep convolutional neural network identifies fabric defects within a research framework designed to support safe human-robot collaborative interaction.
An optimized CNN detected product logos including Starbucks, Chanel, and Apple at varying distances with 98% accuracy, triggering interactive 3D AR content in iOS and Android apps.
A deep-learning scheme enables UAVs to inspect and monitor road conditions, contributing to automated infrastructure inspection and road-crack detection.
A real-time deep-learning tracking model detects contamination and supports safer interaction between industrial machinery and its operating environment.
Selected journal and conference papers. My full record includes 17 peer-reviewed publications.
International Journal of AI for Materials and Design · 3(1), 1-33
5th International Conference on Robotics, Automation, and Artificial Intelligence (RAAI) · IEEE
Electronics · MDPI
Universal Access in the Information Society · 21(2), 545-556
Biomedical Signal Processing and Control · 68, 102654
IEEE CCECE 2020
I am a postdoctoral researcher at Aarhus University in Herning, Denmark, with nearly 10 years of experience bridging research and software development. My work combines AI-driven robotic inspection, deep learning, computer vision, intelligent automation, and immersive AR/VR applications.
I completed my PhD in Bio-Robotics at Scuola Superiore Sant’Anna's BioRobotics Institute in Italy through the Marie Curie-funded EINST4INE programme (2021-2024). I previously completed an MS in IT Convergence Engineering at Kumoh National Institute of Technology in South Korea as a fully funded Professor Scholar, following a BS in Software Engineering.
My selected projects span epoxy inspection and sorting for circular manufacturing, traffic and lane detection, textile defect detection with human-robot collaboration, 3D augmented-reality logo recognition, autonomous road inspection, and machine-environment contamination detection. I published 17 peer-reviewed publications and a co-authored Korean registered patent, No. 10-2349818, for an autonomous road-crack detection drone based on an improved CNN.
For academic collaboration, robotics and AI projects, student research, or professional enquiries, use the contact page or email me directly at hassanzaidi555@gmail.com.