Dr. Naeem Ul Islam is a distinguished scholar in the field of computer engineering, with a rich academic and research background that spans multiple areas. He earned his doctoral degree in Computer Engineering from the Intelligent Systems Research Institute at Sungkyunkwan University, South Korea, in 2019. His journey into the world of cutting-edge technology and artificial intelligence began at this prestigious institution.

Following the successful completion of his Ph.D., Dr. Islam started a postdoctoral fellowship at Jeonbuk National University, South Korea, from 2019 to 2021. During this time, his research focus centered on the development of AI-based autonomous agricultural robots with a particular emphasis on terrain analysis for autonomous navigation. He made significant contributions to the project during his tenure.

He also worked as a visiting faculty at Gachon University, South Korea.  In 2021, he took up the role of Assistant Professor at the esteemed National University of Sciences and Technology (NUST), Pakistan. At NUST, he became actively engaged in both teaching and diverse research endeavors. His research portfolio included areas such as path planning, AI-based smart infrastructure management, fault detection in photovoltaic cells using advanced AI approaches, medical imaging, and obstacle detection.

Currently, he is serving as an Assistant Professor at Yuan Ze University in Taiwan where his focus is on deploying AI techniques in different robotics applications along with teaching different computer science courses.

AI-Vision Robotics Innovations Lab is dedicated to exploring and advancing various research areas at the intersection of computer engineering and artificial intelligence. Here, we take pride in our commitment to pushing the boundaries of knowledge and creating practical applications that can make a meaningful impact on society. Our research spans a wide spectrum of domains, including

Path Planning: Navigating through complex environments is a fundamental challenge in robotics and autonomous systems. Our lab focuses on developing novel path-planning algorithms that enable efficient and safe navigation for autonomous vehicles and robotic platforms.

AI-Based Smart Infrastructure Management: The integration of artificial intelligence in infrastructure management is crucial for optimizing resource utilization, enhancing operational efficiency, and ensuring the sustainability of urban environments. Our research explores AI-driven solutions for the intelligent management of infrastructure systems.

Fault Detection in Photovoltaic Cells Using Advanced AI Approaches: As the demand for renewable energy sources grows, it becomes imperative to ensure the reliability and performance of photovoltaic systems. We employ advanced AI techniques to detect and diagnose faults in photovoltaic cells, improving the efficiency and lifespan of solar power installations.

Medical Imaging: Our lab is actively involved in developing AI-enhanced tools and techniques for medical imaging. These innovations are aimed at improving diagnostic accuracy, streamlining healthcare processes, and ultimately saving lives through early detection and diagnosis.

Terrain Analysis & Obstacle Detection: Terrain analysis and obstacle detection and avoidance are crucial components of autonomous navigation systems. We investigate state-of-the-art methods for analyzing the terrain, detecting and responding to obstacles in real-time, enhancing the safety and reliability of autonomous vehicles.

Bioinformatics: Our lab is also working on the analysis and interpretation of biological data, aiding in critical research related to genomics, proteomics, and beyond.

In our laboratory, we foster a collaborative and multidisciplinary research environment, bringing together experts from diverse backgrounds to tackle complex challenges. We welcome brilliant students from all over the world to join our lab.