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About

Haider TH. Salim ALRikabi is a multidisciplinary engineer and researcher whose work spans wireless communications, robotics, machine learning, and embedded control systems. His most influential contribution, "Analysis the Efficient Energy Prediction for 5G Wireless Communication Technologies" (2019), has garnered 72 citations and addresses the critical challenge of energy optimization in next-generation wireless networks — a pressing concern as 5G infrastructure continues to expand globally. This work positions him as a forward-thinking voice in telecommunications research during a pivotal period of network evolution. Beyond communications, ALRikabi has made notable strides in intelligent systems and robotics. His research on gender recognition using Multi-Class Support Vector Machine classifiers demonstrates expertise in applied machine learning for human-computer interaction, while his work on self-balancing robots and smartphone-controlled robotic vehicles reflects a strong command of IoT integration and embedded systems design using Arduino microcontrollers. His systematic review on DC motor speed control further underscores his commitment to synthesizing foundational knowledge for the broader engineering community. With a growing citation record exceeding 148 citations across five papers alone, ALRikabi represents an increasingly impactful voice bridging theoretical engineering principles with real-world technological applications, making his work particularly valuable for students and practitioners in robotics, control systems, and wireless technology.