معرفی
Henry Selvaraj is a Professor in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas. His expertise spans artificial intelligence, IoT systems, digital signal processing, and embedded systems, with applications in healthcare, energy, and robotics.
His recent research focuses on machine learning applications for IoT systems, including sensor data restoration, energy-efficient computing, and medical diagnostics. He has developed novel methods for path planning in robotics, cancer detection in medical images, and fault-tolerant IoT architectures.
With over 50 publications, his work demonstrates strong interdisciplinary collaboration between computer engineering, medical imaging, and power systems. Recent articles show growing emphasis on real-time embedded AI, hardware acceleration (FPGA), and blockchain applications in energy systems.
Dr. Selvaraj's laboratory focuses on practical implementations of machine learning algorithms for resource-constrained environments, particularly in healthcare diagnostics and industrial IoT applications.
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