Mr. Ao Ma | Artificial Intelligence | Best Researcher Award
Hunan University of Technology and Business | China
Mr. Ao Ma is an emerging researcher specializing in artificial intelligence, software engineering, control systems, and hardware architecture, currently serving at the School of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business (HUTB), China. At HUTB, he has pursued research that bridges intelligent computing and practical applications, particularly in developing high-efficiency, sustainable, and adaptive intelligent systems. His scholarly contributions include the article “Design and Research of High-Energy-Efficiency Underwater Acoustic Target Recognition System”, published in Electronics and earlier as a preprint on Preprints.org, where he collaborated with an interdisciplinary team to advance underwater acoustic detection technologies. This work highlights his ability to integrate artificial intelligence algorithms with hardware optimization to improve recognition accuracy while reducing energy consumption, addressing both scientific and industrial challenges in marine engineering. Alongside his academic research, Mr. Ma has demonstrated strong leadership and community engagement, earning the prestigious Yuntang Scholarship, an alumni-funded award that honors outstanding students who exhibit academic excellence, innovative spirit, and societal contribution. His recognition as an Outstanding Member of the Communist Youth League of China further reflects his exemplary performance, moral character, and leadership within the university community. With a clear research vision and dedication to advancing intelligent manufacturing and sustainable innovation, Mr. Ma continues to expand his impact in both academic and professional domains, positioning himself as a promising scholar committed to the integration of cutting-edge artificial intelligence with practical engineering solutions for the benefit of society.
Profile: Orcod
Featured publication
Ma, A., Yang, W., Tan, P., Lei, Y., Zhu, L., Peng, B., & Ding, D. (2025). Design and research of high-energy-efficiency underwater acoustic target recognition system. Electronics, 14(19), 3770.