Muhammed Zahid Karakusak
Papers
3
Total Citations
30
H-Index
2
About
Muhammed Zahid Karakusak is a researcher specializing in cyber-physical systems, wireless indoor positioning, and autonomous robotics, with a particular focus on their applications within Industry 4.0 frameworks. His work sits at the intersection of digital transformation and intelligent infrastructure, exploring how emerging technologies such as digital twins, the Internet of Things, and deep learning can revolutionize industrial asset management and monitoring. Karakusak's most impactful contribution, "Cyber–Physical System Architecture of Autonomous Robot Ecosystem for Industrial Asset Monitoring" (2024), has already garnered 21 citations, demonstrating strong early interest from the research community in his vision for autonomous, interconnected robotic ecosystems. His 2023 work, Cyber-WISE, further showcases his innovative approach by combining deep learning with digital twin methodologies to address longstanding challenges in wireless indoor localization — eliminating the laborious Wi-Fi site surveys that have historically hindered practical deployment. His earlier research on RSS and NI filtering for mobile robot tracking reflects a consistent, career-long commitment to solving real-world localization problems. Together, his publications reveal a researcher steadily building toward smarter, more autonomous industrial environments — making his work highly relevant for students and engineers interested in robotics, IoT integration, and the future of digital infrastructure.
Research Focus
Key Achievements
Top Papers
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