Adamu has acquired extensive research experience across diverse domains, including emotion analysis, identity detection, information hiding, scalable video coding, GPU-based software optimization, multi-process and multi-thread parallel computing, energy harvesting and renewable energy systems, the Internet of Everything (IoE), robotics, and AI-based systems. His academic training and research activities have strengthened his analytical, theoretical, and problem-solving capabilities, which he continues to advance through research-driven innovation. He is passionate about pursuing a career that bridges academia and industry, with particular interests in real-time machine learning algorithms, human emotion analysis, AI-enabled IoE smart systems, renewable energy solutions, and embedded system design. His long-term goal is to contribute to the development of intelligent and sustainable technologies that address real-world challenges.