ICOAI 2019

Invited Speakers

Invited Speakers


Invited Speakers will be announced soon.






ICOAI 2023 Invited Speakers

Assoc. Prof. Gokhan Erdemir
University of Tennessee at Chattanooga, USA

Dr. Gokhan Erdemir received his B.Sc., M.Sc., and Ph.D. degrees from Marmara University, Turkey, respectively. He worked as a research scholar at Michigan State University, the Robotics and Automation Laboratory in East Lansing, MI, and the University of Michigan, the Health Management and Research Center in Ann Arbor, MI. Now, he is an Associate Professor in the Engineering Management & Technology Department at the University of Tennessee at Chattanooga (UTC). His research interests include robotics, mobile robotics, control systems, intelligent control, and engineering education. He serves as a reviewer and a scientific board member of various journals, transactions, and conferences. He has over 15 years of experience developing, designing, and implementing robotic systems and related technologies. He has been involved in many research projects as a PI and a Co-PI.

Speech Title: Applying AI to Power Line Inspection: Recent Developments
As the backbone of modern civilization, electricity fuels countless homes, businesses, and industries worldwide. However, this indispensable resource's safety, reliability, and efficiency hinge upon the regular maintenance and inspection of electric power lines. With the rise of AI technologies, there has been mounting interest in their application to power line inspection, with the overarching goal of augmenting the accuracy and efficiency of this process. This exhaustive review article surveys the latest research in the field of AI for power line inspection, with a specific emphasis on automated image recognition, predictive maintenance, robotic inspection, data analytics, and automated reporting. Through a meticulous literature analysis, we expose AI technologies' potential advantages and drawbacks in power line inspection and highlight the key challenges and opportunities for future research. Our sweeping review emphasizes the unprecedented potential of AI technologies in fundamentally transforming power line inspection with an array of inventive and pioneering approaches to enhancing the safety and reliability of this vital infrastructure.